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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2026.15647</article-id>
<article-id pub-id-type="publisher-id">OL-32-1-15647</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Gastrointestinal cancer with indeterminate <sup>18</sup>F-FDG PET/CT findings: Diagnostic efficacy analysis of <sup>68</sup>Ga-FAPI-04 PET/MRI</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Miao</surname><given-names>Jingxuan</given-names></name>
<xref rid="af1-ol-32-1-15647" ref-type="aff">1</xref>
<xref rid="fn1-ol-32-1-15647" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Xu</surname><given-names>Yifei</given-names></name>
<xref rid="af2-ol-32-1-15647" ref-type="aff">2</xref>
<xref rid="fn1-ol-32-1-15647" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Qiao</surname><given-names>Feng</given-names></name>
<xref rid="af1-ol-32-1-15647" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Ni</given-names></name>
<xref rid="af3-ol-32-1-15647" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Khan</surname><given-names>Muhammad Imran</given-names></name>
<xref rid="af1-ol-32-1-15647" ref-type="aff">1</xref>
<xref rid="af4-ol-32-1-15647" ref-type="aff">4</xref>
<xref rid="af5-ol-32-1-15647" ref-type="aff">5</xref>
<xref rid="af6-ol-32-1-15647" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhao</surname><given-names>Ye</given-names></name>
<xref rid="af3-ol-32-1-15647" ref-type="aff">3</xref>
<xref rid="c2-ol-32-1-15647" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Hui</given-names></name>
<xref rid="af1-ol-32-1-15647" ref-type="aff">1</xref>
<xref rid="c1-ol-32-1-15647" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-32-1-15647"><label>1</label>Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China</aff>
<aff id="af2-ol-32-1-15647"><label>2</label>Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China</aff>
<aff id="af3-ol-32-1-15647"><label>3</label>Division of Basic Medical Sciences, Department of Nuclear Medicine, Anhui Medical University, Hefei, Anhui 230032, P.R. China</aff>
<aff id="af4-ol-32-1-15647"><label>4</label>School of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China</aff>
<aff id="af5-ol-32-1-15647"><label>5</label>Department of Pathology, District Headquarters Hospital, Jhang, Punjab 35200, Islamic Republic of Pakistan</aff>
<aff id="af6-ol-32-1-15647"><label>6</label>Hefei National Lab for Physical Sciences at The Microscale and The Centers for Biomedical Imaging, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-32-1-15647"><italic>Correspondence to</italic>: Dr Hui Wang, Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui 230022, P.R. China, E-mail: <email>wanghuixyx@163.com</email>; <email>wanghui@ahmu.edu.cn</email></corresp>
<corresp id="c2-ol-32-1-15647">Dr Ye Zhao, Division of Basic Medical Sciences, Department of Nuclear Medicine, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, P.R. China, E-mail: <email>zhaoye@ahmu.edu.cn</email></corresp>
<fn id="fn1-ol-32-1-15647"><label>&#x002A;</label><p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection"><month>07</month><year>2026</year></pub-date>
<pub-date pub-type="epub"><day>13</day><month>05</month><year>2026</year></pub-date>
<volume>32</volume>
<issue>1</issue>
<elocation-id>292</elocation-id>
<history>
<date date-type="received"><day>18</day><month>05</month><year>2025</year></date>
<date date-type="accepted"><day>02</day><month>04</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; 2026 Miao et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>The present prospective study aimed to investigate whether gallium-68-labeled fibroblast activation protein inhibitor-04 (<sup>68</sup>Ga-FAPI-04) positron emission tomography (PET)/magnetic resonance imaging (MRI) could provide notably increased diagnostic accuracy, semi-quantitative parameters, staging capability, diagnostic guidance value and improved clinical benefits compared with fluorine-18-labeled fluorodeoxyglucose (<sup>18</sup>F-FDG) PET/computed tomography (CT) in gastrointestinal (GI) cancer with atypical metabolic activity (uncertain <sup>18</sup>F-FDG imaging results). In total, 22 patients with histopathologically confirmed GI cancer, clinically suspected of recurrence or metastasis, but with atypical/inconclusive <sup>18</sup>F-FDG PET/CT results, were analyzed. The present study planned to perform <sup>68</sup>Ga-FAPI-04 PET/MRI within 1&#x2013;4 days. The diagnostic performance of both tracers was evaluated. Tumor-to-background ratio was used to quantify the radiotracer uptake. The present study employed Fisher&#x0027;s exact test to statistically analyze the association between pathological subtypes and changes in tumor staging, as well as treatment decisions indicated by <sup>68</sup>Ga-FAPI-04 PET. The results demonstrated that <sup>68</sup>Ga-FAPI-04 had significantly higher sensitivity compared with <sup>18</sup>F-FDG in detecting lymph node involvement (100 vs. 89.01&#x0025;; P=0.001) and distant organ metastases (92.31 vs. 61.54&#x0025;; P=0.008). Me <sup>68</sup>Ga-FAPI-04 uptake was significantly higher in primary tumors [median, 6.13 (range, 5.71&#x2013;7.57) vs. 2.62 (1.82&#x2013;3.03); P=0.004], lymph nodes (9.07&#x00B1;2.93 vs. 3.96&#x00B1;1.73; P&#x003C;0.001) and various metastatic sites (3.31&#x00B1;2.19 vs. 6.87&#x00B1;4.16; P&#x003C;0.001). The findings indicated that <sup>68</sup>Ga-FAPI-04 has potential advantages in diagnostic efficiency and visual evaluation. Furthermore, <sup>68</sup>Ga-FAPI-04 altered staging in 36.4&#x0025; (8/22) of patients and refined the treatment strategies for 27.3&#x0025; (6/22), particularly those with poorly differentiated adenocarcinoma or mucinous carcinoma. For the 22 patients in the present study, the hospital cost for <sup>68</sup>Ga-FAPI-04 PET/MRI was higher compared with that for <sup>18</sup>F-FDG PET/CT. However, it generated overall benefits that essentially offset the additional costs. By enabling the timely detection of anastomotic recurrence, lymph node metastasis and distant metastasis for prompt intervention, it saved time, reduced the risk of further disease progression, and also minimized some unnecessary medical procedures caused by false-positive <sup>18</sup>F-FDG results. These findings suggested that <sup>68</sup>Ga-FAPI-04 PET/MRI is key to enhancing the diagnostic performance for <sup>18</sup>F-FDG metabolically atypical GI tumors, refining clinical decision-making and providing economic benefits. This clinical trial was registered at Clinicaltrials.gov with ID NCT06270394 (date of registration, February 20th, 2024; retrospectively registered).</p>
</abstract>
<kwd-group>
<kwd>fibroblast activation protein inhibitor</kwd>
<kwd>positron emission tomography</kwd>
<kwd>staging</kwd>
<kwd>treatment management</kwd>
<kwd>diagnostic performance</kwd>
</kwd-group>
<funding-group>
<award-group>
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>81801736</award-id>
</award-group>
<funding-statement>The present study was supported by the National Natural Science Foundation of China (grant no. 81801736).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Over the past 3 years, gastrointestinal (GI) tumors have contributed markedly to the global cancer burden. Notably, gastric cancer accounted for &#x003E;970,000 novel cases and &#x007E;660,000 mortalities, while &#x003E;1.9 million novel cases and &#x007E;900,000 fatalities were reported for colorectal cancer, thereby representing a severe threat to public health (<xref rid="b1-ol-32-1-15647" ref-type="bibr">1</xref>). Delays in the diagnosis and treatment of GI cancer are strongly associated with reduced overall survival rates (<xref rid="b2-ol-32-1-15647" ref-type="bibr">2</xref>).</p>
<p>Fluorine-18 (<sup>18</sup>F) fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) represents a cornerstone imaging modality for diagnosing GI malignancies (<xref rid="b3-ol-32-1-15647" ref-type="bibr">3</xref>). Extensively integrated into the routine evaluation and staging of GI cancer (<xref rid="b4-ol-32-1-15647" ref-type="bibr">4</xref>,<xref rid="b5-ol-32-1-15647" ref-type="bibr">5</xref>), this technique offers key clinical insights. However, its limitations warrant careful consideration. Firstly, <sup>18</sup>F-FDG exhibits extensive and variable physiological uptake within the GI tract (<xref rid="b6-ol-32-1-15647" ref-type="bibr">6</xref>), complicating the accurate diagnosis of GI tumors (<xref rid="b7-ol-32-1-15647" ref-type="bibr">7</xref>). Secondly, histological subtypes with low metabolic activity, such as signet-ring cell (<xref rid="b8-ol-32-1-15647" ref-type="bibr">8</xref>,<xref rid="b9-ol-32-1-15647" ref-type="bibr">9</xref>) and mucinous (<xref rid="b10-ol-32-1-15647" ref-type="bibr">10</xref>) adenocarcinomas, show poor <sup>18</sup>F-FDG avidity, leading to suboptimal detection rates. Furthermore, postoperative anastomotic healing can cause persistent physiological tracer accumulation, obscuring the identification of anastomotic recurrence. Collectively, these factors contribute to a notable number of cases where <sup>18</sup>F-FDG imaging yields inconclusive or atypical results for both primary tumors and metastatic lesions.</p>
<p>These limitations have propelled the continuous innovation of PET tracers. Fibroblast activation protein (FAP) is predominantly upregulated in cancer-associated fibroblasts, which constitute &#x007E;90&#x0025; of tumor stromal cells (<xref rid="b11-ol-32-1-15647" ref-type="bibr">11</xref>,<xref rid="b12-ol-32-1-15647" ref-type="bibr">12</xref>). FAP inhibitors (FAPIs) exhibit high specificity in binding to FAP. When FAPI is radiolabeled with gallium-68 (<sup>68</sup>Ga), it forms a radiotracer capable of detecting FAP<sup>&#x002B;</sup> tumor stroma. In 2018, FAP-related radiotracers were first introduced into clinical practice, with <sup>68</sup>Ga-FAPI-04 being the most extensively studied (<xref rid="b13-ol-32-1-15647" ref-type="bibr">13</xref>,<xref rid="b14-ol-32-1-15647" ref-type="bibr">14</xref>).</p>
<p>In contrast to <sup>18</sup>F-FDG, <sup>68</sup>Ga-FAPI-04 does not require pre-imaging preparations such as fasting. Additionally, the administered radioactive dose of <sup>68</sup>Ga-FAPI-04 is &#x007E;50&#x0025; of that of <sup>18</sup>F-FDG for the same patient. These characteristics markedly reduce patient discomfort and enhance the overall patient experience during the diagnostic process. Previous studies have demonstrated that <sup>68</sup>Ga-FAPI-04 outperforms <sup>18</sup>F-FDG in diagnosing primary and metastatic lesions in signet ring cell gastric cancer and colorectal cancer (<xref rid="b15-ol-32-1-15647" ref-type="bibr">15</xref>&#x2013;<xref rid="b18-ol-32-1-15647" ref-type="bibr">18</xref>) and exhibits a notable tumor-to-background ratio (TBR) (<xref rid="b15-ol-32-1-15647" ref-type="bibr">15</xref>,<xref rid="b16-ol-32-1-15647" ref-type="bibr">16</xref>,<xref rid="b19-ol-32-1-15647" ref-type="bibr">19</xref>&#x2013;<xref rid="b21-ol-32-1-15647" ref-type="bibr">21</xref>).</p>
<p>Although diagnostic research on <sup>68</sup>Ga-FAPI-04 in GI cancer has reached a relatively advanced stage, a robust foundation for its clinical implementation remains lacking (<xref rid="b22-ol-32-1-15647" ref-type="bibr">22</xref>). The present study hypothesized that <sup>68</sup>Ga-FAPI-04 could improve the diagnostic accuracy for patients with GI tumors exhibiting atypical or inconclusive <sup>18</sup>F-FDG metabolic patterns, potentially serving as a valuable supplement in clinical practice for GI tumors with atypical FDG metabolism. The present prospective study aimed to compare the diagnostic accuracy, staging, restaging and treatment management outcomes of <sup>68</sup>Ga-FAPI-04 PET/magnetic resonance imaging (MRI) vs. <sup>18</sup>F-FDG PET/CT in such patients with GI cancer.</p>
</sec>
<sec sec-type="subjects|methods">
<title>Patients and methods</title>
<sec>
<title/>
<sec>
<title>Study design and patient recruitment</title>
<p>Data were collected between December 2022 and May 2023. Inclusion criteria for the present study were as follows: i) Patients with pathologically confirmed primary GI cancer (diagnosed via histopathological examination or narrow-band imaging magnification endoscopy); ii) patients with clinical suspicion of recurrence or metastasis supported either by abnormal follow-up CT/MRI findings or other clinical/radiological evidence; iii) patients with atypical <sup>18</sup>F-FDG PET findings with either low <sup>18</sup>F-FDG uptake in lesions despite radiological/clinical evidence confirming recurrence/metastasis or high <sup>18</sup>F-FDG uptake in lesions despite radiological/clinical evidence confirming benign or inflammatory nature; and iv) patients who provided written informed consent for <sup>68</sup>Ga-FAPI-04 PET/MRI examination.</p>
<p>All patients were recruited from the First Affiliated Hospital of Anhui Medical University (Hefei, China). Tumor classification was performed according to the World Health Organization Classification of Tumors (<xref rid="b23-ol-32-1-15647" ref-type="bibr">23</xref>). Exclusion criteria were as follows: i) Failure to provide written informed consent; ii) inability to maintain a supine position for the full duration of the imaging procedure; iii) confirmed claustrophobia (unable to tolerate closed imaging equipment); and iv) concurrent diagnosis of other malignant tumors.</p>
<p>Patients for whom MRI examination was contraindicated (for example, due to implanted pacemakers, metallic intrauterine devices or ferromagnetic hip prostheses) underwent <sup>68</sup>Ga-FAPI-04 PET/CT instead of PET/MRI. A flowchart for the patient selection process is depicted in <xref rid="f1-ol-32-1-15647" ref-type="fig">Fig. 1</xref>. The present study was performed in line with the principles of the Declaration of Helsinki. Ethics approval for the present study was granted by the Ethics Committee of Anhui Medical University (Hefei, China; date, May 9th 2022; approval no. PJ2022-05-09).</p>
</sec>
<sec>
<title>Preparation of <sup>68</sup>Ga-FAPI-04 and <sup>18</sup>F-FDG</title>
<p>FAPI-04 was provided by Jiangsu Huayi Nuclear Medicine Co., Ltd., with a net weight of 872.91 g. The labeling of FAPI with <sup>68</sup>Ga was performed using methods previously described by Lindner <italic>et al</italic> (<xref rid="b24-ol-32-1-15647" ref-type="bibr">24</xref>) and Chen <italic>et al</italic> (<xref rid="b25-ol-32-1-15647" ref-type="bibr">25</xref>), with minor modifications to suit the characteristics of the <sup>68</sup>Germanium (<sup>68</sup>Ge)/<sup>68</sup>Ga generator (New Radiomedicine Technology Co., Ltd.) and the equipment available at the present study institution (<xref rid="SD1-ol-32-1-15647" ref-type="supplementary-material">Fig. S1</xref>). The <sup>68</sup>Ge/<sup>68</sup>Ga generator was eluted with 0.1 M HCl to obtain 3.0 ml of <sup>68</sup>GaCl<sub>3</sub> solution. The FAPI-04 precursor (20 &#x00B5;g) was then combined with 375 &#x00B5;l of 1.25 M sodium acetate (pH 4.0), followed by the addition of 3.0 ml of the <sup>68</sup>GaCl<sub>3</sub> solution previously prepared. The reaction was conducted in a thermostat at 95&#x00B0;C for 10 min. Afterward, the mixture was passed through an activated Sep-Pak<sup>&#x00AE;</sup> <sup>18</sup>C column (Xintuo Trading Co., Ltd.) and washed with 0.8 ml of 80&#x0025; ethanol. The eluate was then filtered through a 0.2-&#x00B5;m microporous membrane (Pall Corporation) and collected into a sterile, autoclaved vial. The <sup>18</sup>F-FDG synthesis was performed by Yantai Dongcheng Pharmaceutical Group Co., Ltd. All products underwent comprehensive quality control, including radiochemical purity, specific activity and sterility tests, and met the required standards before clinical use.</p>
</sec>
<sec>
<title>Purity assessment of synthesized <sup>68</sup>Ga-FAPI-04 and <sup>18</sup>F-FDG</title>
<p>The radiochemical purity of the two radionuclides was assessed using a high-performance liquid chromatograph (HPLC) [model LC-16; Shimadzu Instruments (Suzhou) Co., Ltd.]. The HPLC system conditions were as follows: Voltage, 220&#x00B1;22 V; frequency, &#x007E;50&#x00B1;0.5 Hz; power, 150 VA; injection volume, 25 &#x00B5;l; mobile phase A: deionized water containing 0.1&#x0025; trifluoroacetic acid (TFA), mobile phase B: acetonitrile containing 0.1&#x0025; TFA; flow rate, 1.0 ml/min; absorption wavelength, 320 nm. The column used was Shim-pack VP-ODS (C<sup>18</sup>) with a size of 4.6&#x00D7;150 mm and a particle size of 5 &#x00B5;m, manufactured by Shimadzu Instruments (Suzhou) Co., Ltd. The radiochemical purity of <sup>68</sup>Ga and <sup>18</sup>F was calculated using the area normalization method. The detection conditions of <sup>68</sup>Ga and <sup>18</sup>F radio-HPLC are shown in <xref rid="SD2-ol-32-1-15647" ref-type="supplementary-material">Table SI</xref>.</p>
</sec>
<sec>
<title>Synthesized <sup>68</sup>Ga-FAPI-04 and <sup>18</sup>F-FDG purity</title>
<p>The radiochemical purity of <sup>68</sup>Ga-FAPI-04 was assessed by radio-HPLC within 10 min. The chromatogram displays a single, sharp peak at 3.1&#x2013;3.2 min, with a signal intensity of 104.7&#x2013;104.8 mV, while the <sup>18</sup>F-FDG peak appears at 2.5&#x2013;2.6 min, with a signal intensity of 113.4&#x2013;113.5 mV. This well-defined peak indicates the presence of a highly pure compound with no detectable impurities or by-products, as evidenced by the stable baseline throughout the chromatogram. The absence of additional peaks confirms the effective separation and successful synthesis of the target radiopharmaceutical <xref rid="SD1-ol-32-1-15647" ref-type="supplementary-material">Fig. S1</xref>.</p>
</sec>
<sec>
<title>PET-MRI and PET-CT imaging</title>
<p>PET-MRI imaging was performed using a GE Healthcare scanner (SIGNA&#x2122;; GE HealthCare) equipped with a dedicated molecular MR coil. <sup>68</sup>Ga-FAPI-04 was labeled on-site and used immediately after labeling. The intravenous injection dose was 1.85&#x2013;3.7 MBq/kg. After 35 min of injection, respiratory gating imaging was initiated. The field of view covered from the skull to the upper part of the thighs. A step-and-shoot acquisition mode was adopted, with five bed positions being acquired, 4&#x2013;6 min for each bed position and a total scanning duration of &#x007E;60 min. Multi-sequence nuclear MRI included T1-weighted imaging (WI), T2-WI and diffusion-WI. Breath-holding was required during the liver acceleration volume acquisition scan. PET/MRI reconstruction was performed using ordered subsets expectation maximization (OSEM) &#x002B; time-of-flight (TOF) &#x002B; point spread function (PSF), with two iterations, 28 subsets, a 440&#x00D7;440 matrix and a 5-mm filter.</p>
<p><sup>18</sup>F-FDG PET/CT examination was performed using a Biograph Vision 450 PET-CT scanner (Siemens Healthineers). The dose of <sup>18</sup>F-FDG was 3.7&#x2013;5.55 MBq/kg. PET/CT acquisition started 60&#x00B1;20 min after intravenous injection. A CT scan was performed with a table speed of 22.5 mm/sec, followed by a PET scan conducted using a continuous bed movement acquisition mode, with 2&#x2013;4 min of acquisition for each bed position and a range from the head to the upper part of the thighs. The OSEM algorithm was used for image reconstruction and TOF correction, and PSF modeling were performed. A total of five iterations, four subsets, a 440&#x00D7;440 reconstruction matrix and a 5-mm filter were adopted.</p>
</sec>
<sec>
<title>Imaging analysis</title>
<p>Two board-certified nuclear medicine specialists and a nuclear medicine postgraduate student with a medical licensure performed blinded image interpretation, with access to neither pathological findings nor clinical examination data to ensure the objectivity of the analysis. The images were analyzed using the multiple myeloma (MM) oncology-specific software within the Syngo.via VB30 system (2020; Siemens Healthineers). In cases of assessment discrepancies, a third senior nuclear medicine specialist was consulted to reach a final consensus through joint discussion, minimizing subjective bias and ensuring accuracy and consistency in data interpretation.</p>
<p>Anatomical regions evaluated included the primary tumor, anastomotic sites, abdominal incisions, lymph nodes (cervical, thoracic, abdominal and pelvic regions) and distant metastases (for example, brain, bone, liver, spleen, peritoneum, ovary and kidney). For lymph node classification, the cervical region was defined as the area below the line connecting the inferior margin of the mandible, posterior margin of the mandibular process, mastoid process and external occipital protuberance, and the area above the line connecting the suprasternal notch, clavicle, acromion and C7 spinous process. The thoracic region comprised the area within the thoracic cage and diaphragm, with its upper boundary being the thoracic inlet connecting to the cervical region. The abdominal region was defined as the space between the pelvic inlet and diaphragm, while the pelvic region referred to the area within the pelvic girdle.</p>
<p>Lesions with metabolic activity markedly higher compared with adjacent healthy tissues were classified as PET<sup>&#x002B;</sup> and potentially malignant lesions. The criteria for final confirmation of malignant lesions included the following: i) Lesions with malignant biopsy pathology results; ii) abnormal GI vascular patterns observed via standardized narrow-band imaging magnification endoscopy, consistent with histopathology if involving endoscopic biopsy; iii) lesion progression observed using CT or MRI during follow-up; and iv) lesion shrinkage after antitumor therapy. Nuclear medicine specialists qualitatively compared PET<sup>&#x002B;</sup> lesions detected using <sup>18</sup>F-FDG PET and <sup>68</sup>Ga-FAPI-04 PET with the aforementioned final confirmed malignant lesions to determine the diagnostic accuracy of the two tracers.</p>
<p>In addition, a semi-quantitative comparison of the two radionuclides was also performed. Regions of interest were delineated on the cross-sectional images around the PET<sup>&#x002B;</sup> potentially malignant lesions for semi-quantitative evaluation. The maximum standardized uptake value (SUV<sub>max</sub>) was automatically determined using the MM Oncology Syngo software. Due to the differences in the imaging principles, device performance and reconstruction algorithms of PET/CT and PET/MRI, the SUV<sub>max</sub> values measured using the two devices could not be directly used for quantitative comparison. Therefore, the tumor-to-blood-pool ratio (TBR_blood_pool) value was used to enhance comparability. The calculation was performed according to a previous study (<xref rid="b26-ol-32-1-15647" ref-type="bibr">26</xref>) using the following formula: TBR_blood_pool (lesion)=SUV<sub>max</sub> (lesion)/mean SUV<sub>max</sub> (descending aorta).</p>
<p>For patients with digestive tract tumors detected using <sup>68</sup>Ga-FAPI-04 PET or <sup>18</sup>F-FDG PET, a board-certified oncologist staged them according to the eighth edition of the American Joint Committee on Cancer guidelines (<xref rid="b27-ol-32-1-15647" ref-type="bibr">27</xref>). Clinical management and treatment recommendations were put forward based on the staging results. The differences in the staging of <sup>68</sup>Ga-FAPI-04 PET/MRI targeted molecular imaging and their impacts on tumor treatment were recorded. The changes in treatment methods were rated based on how much the imaging results influenced clinical decisions. If the modification was made to the treatment plan that the clinician had already anticipated, it was recorded as a minor change. If the FAPI PET results led to a change in the type of treatment or the treatment intent, it was classified as a major change.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>All statistical analyses were performed using SPSS (version 26.0; IBM Corp.). To determine the diagnostic accuracy of <sup>68</sup>Ga-FAPI-04 PET and <sup>18</sup>F-FDG PET, the present analysis evaluated the sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) for both imaging modalities, with statistical comparisons conducted using McNemar&#x0027;s test. True-positive (TP) was defined as lesions with significantly elevated SUV<sub>max</sub> on FDG or FAPI imaging, confirmed as malignant by pathology or follow-up. True-negative (TN) refers to lesions with no significant SUV<sub>max</sub> elevation and verified as disease-free using the gold standard diagnostic method (pathological biopsy) or long-term follow-up. False-positive (FP) denotes focal SUV<sub>max</sub> elevation without malignant findings on histopathology or imaging follow-up. False-negative (FN) indicates no significant SUV<sub>max</sub> abnormality but evidence of malignancy at corresponding sites per gold standard diagnostic method or follow-up. PPV and NPV were calculated as PPV=TP/(TP &#x002B; FP) and NPV=TN/(TN &#x002B; FN), following the method used by Hill <italic>et al</italic> (<xref rid="b28-ol-32-1-15647" ref-type="bibr">28</xref>). Compared with <sup>18</sup>F-FDG, a significant elevation in TP and TN for <sup>68</sup>Ga-FAPI-04 was defined as a statistically significant increase, with P&#x003C;0.05 considered to indicate a statistically significant difference.</p>
<p>For the semi-quantitative analysis of <sup>68</sup>Ga-FAPI-04 and <sup>18</sup>F-FDG PET imaging (including TBR_blood_pool), the Shapiro-Wilk test was performed for all subgroups with a sample size of &#x003E;10. The test results confirmed that the tracer uptake data of target lesions conformed to a normal distribution, and the data were expressed as the mean &#x00B1; standard deviation. Since all data in this study were obtained from the same subjects who underwent both examinations, the measurements were paired. Therefore, the paired t-test was used to compare the differences in tracer uptake of target lesions between the two imaging modalities and assess the statistical significance of such differences.</p>
<p>For subgroups with a sample size of &#x2264;10, including primary lesions, anastomotic recurrence, abdominal wall recurrence, preoperative metastatic lymph nodes, cervical, thoracic and pelvic metastatic lymph nodes, as well as liver, kidney, peritoneal, bone and splenic metastases, the normality of the data could not be validly verified. The semi-quantitative analysis results of <sup>68</sup>Ga-FAPI-04 and <sup>18</sup>F-FDG PET imaging for these subgroups were expressed as median (lower quartile-upper quartile). The Wilcoxon signed-rank test was adopted for non-parametric analysis to compare the differences in tracer uptake of target lesions between the two imaging modalities and further evaluate the statistical significance of the differences.</p>
<p>Fisher&#x0027;s exact test was used to verify the associations between different pathological subtypes and the changes in tumor staging and treatment decisions indicated by <sup>68</sup>Ga-FAPI-04 PET imaging. Simple ratio calculations were employed to determine the number of patients with stage changes and the impact rate on subsequent treatment due to <sup>68</sup>Ga-FAPI-04 PET, demonstrating its effect on staging and therapy planning. Two-tailed P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
<sec>
<title>Cost-benefit analysis</title>
<p>The use of <sup>68</sup>Ga-FAPI-04 PET/MRI is associated with high equipment and drug costs and whether such high costs can bring tangible diagnostic value to patients is a key concern in clinical applications. Therefore, based on data from 22 patients, the present study conducted a preliminary comparison of the hospital operating costs and patient-derived medical benefits between <sup>68</sup>Ga-FAPI-04 PET/MRI and <sup>18</sup>F-FDG PET/CT.</p>
<p>The hospital operating costs were defined as experiment-related hospital expenditures (rounded to the nearest whole number), which included only medication, equipment and labor costs. The direct costs of <sup>68</sup>Ga-FAPI-04 PET/MRI covered the consumption of <sup>68</sup>Ge/<sup>68</sup>Ga generators, the cost of FAPI-04 precursor drugs, the depreciation of PET/MRI equipment and the salary of the technicians. For <sup>18</sup>F-FDG PET/CT, the costs included the direct purchase cost of <sup>18</sup>F-FDG, the depreciation of PET/CT equipment and the salary of the technicians.</p>
<p>Since <sup>68</sup>Ga-FAPI-04 PET/MRI is part of a clinical trial with no requirements for report writing, miscellaneous clinical expenses, such as fees paid to physicians for report preparation, hospital utility consumption, equipment maintenance, consumables for report printing and monitor repair, were not included in the calculation.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Patient demographics</title>
<p>The present study included 22 participants, 12 men and 10 women, with a median age of 62 years (range, 51&#x2013;77 years). The demographic and clinical characteristics of the patients are summarized in <xref rid="tI-ol-32-1-15647" ref-type="table">Table I</xref>. Specifically, there were 7 (31.8&#x0025;) patients with esophageal cancer, 7 (31.8&#x0025;) with gastric cancer, 5 (22.7&#x0025;) with colon cancer and 3 (13.6&#x0025;) with rectal cancer. Furthermore, 20 (90.9&#x0025;) patients received treatments such as surgery, chemotherapy, radiotherapy or immunotherapy.</p>
<p>The present study aimed to explore the diagnostic value of <sup>68</sup>Ga-FAPI-04 PET/MRI and <sup>18</sup>F-FDG PET/CT in the detection of recurrent and metastatic diseases in patients with GI cancer. A comparison of partial maximum intensity projection images obtained from representative <sup>18</sup>F-FDG and <sup>68</sup>Ga-FAPI-04 scans is presented in <xref rid="f2-ol-32-1-15647" ref-type="fig">Fig. 2</xref>.</p>
</sec>
<sec>
<title>Primary tumors</title>
<p>The lesion-based analysis demonstrated that the sensitivity for diagnosing primary tumors was 50.0&#x0025; (3/6) for <sup>18</sup>F-FDG PET/CT and 83.3&#x0025; (5/6) for <sup>68</sup>Ga-FAPI-04 PET/MRI (<xref rid="tII-ol-32-1-15647" ref-type="table">Table II</xref>). For cancer types with low <sup>18</sup>F-FDG uptake, such as mucinous cancer (MC) and GI stromal tumors (GIST), <sup>18</sup>F-FDG PET/CT generated more FN results.</p>
<p>By contrast, the lesions on <sup>68</sup>Ga-FAPI-04 PET/MRI were more clearly defined their semi-quantitative assessment was also significantly improved compared with that of <sup>18</sup>F-FDG PET/CT imaging [TBR_blood_pool, 6.13 (5.71&#x2013;7.57) vs. 2.62 (1.82&#x2013;3.03); P=0.004; <xref rid="f3-ol-32-1-15647" ref-type="fig">Fig. 3F</xref>]. This difference was even more pronounced (TBR_blood_pool, 5.82 vs. 1.12) in patients with gastric GIST (<xref rid="f3-ol-32-1-15647" ref-type="fig">Fig. 3A</xref>).</p>
</sec>
<sec>
<title>Anastomotic recurrence</title>
<p>Anastomotic stroma and abdominal wall incisions were evaluated using two radionuclides, <sup>68</sup>Ga-FAPI-04 and <sup>18</sup>F-FDG. Anastomotic sites and abdominal wall incisions from 17 patients were included in the evaluation, with 3 patients presenting with recurrence and metastasis. While <sup>18</sup>F-FDG PET/CT failed to detect these recurrences, <sup>68</sup>Ga-FAPI-04 PET/MRI identified two of them (<xref rid="f3-ol-32-1-15647" ref-type="fig">Fig. 3B</xref>). <sup>68</sup>Ga-FAPI-04 improved the diagnostic accuracy to 66.67&#x0025; for anastomotic recurrences that remained undetectable using <sup>18</sup>F-FDG (<xref rid="tII-ol-32-1-15647" ref-type="table">Table II</xref>).</p>
<p>Although it is well known that <sup>68</sup>Ga-FAPI-04 is likely to be taken up due to the fibrous remodeling at the anastomotic healing site, thus affecting the examination results (<xref rid="b29-ol-32-1-15647" ref-type="bibr">29</xref>), <sup>68</sup>Ga-FAPI-04 still exhibits certain advantages compared with <sup>18</sup>F-FDG in detecting anastomotic recurrence of pathological types with low <sup>18</sup>F-FDG metabolism, such as mucinous adenocarcinoma and poorly differentiated adenocarcinoma (PDA).</p>
<p>The tracer uptake [TBR_blood_pool, 7.79 (5.97&#x2013;8.58)] at the recurrent anastomotic sites of two patients and the metastatic abdominal wall incision of 1 patient, as shown by <sup>68</sup>Ga-FAPI-04 PET, was markedly higher compared with that of <sup>18</sup>F-FDG PET [TBR_blood_pool, 2.00 (1.83&#x2013;1.92)]. <sup>18</sup>F-FDG had almost no uptake at the recurrent anastomotic sites of the 2 patients and had a little uptake at the metastatic abdominal wall incision (<xref rid="tIII-ol-32-1-15647" ref-type="table">Table III</xref>).</p>
<p>The imaging effect of <sup>68</sup>Ga-FAPI-04 PET was also enhanced, allowing for a clearer scope delineation of the lesions (<xref rid="f3-ol-32-1-15647" ref-type="fig">Fig. 3G</xref>). However, there was no comparable difference in the accuracy and semi-quantitative parameters of the two radionuclides in detecting anastomotic recurrence and abdominal wall incisions. This may be due to the low anastomotic recurrence rate of the patients and the small sample size in the present study (P&#x003E;0.05).</p>
<p>Notably, a patient with colon cancer (patient 21) exhibited mild <sup>18</sup>F-FDG uptake (TBR_blood_pool, 2.28) at the abdominal wall incision 9 months after surgery. Ordinarily, this would not be considered a metastasis at the abdominal wall incision due to the potential for physiological uptake in the surgical area. Nevertheless, the uptake of <sup>68</sup>Ga-FAPI-04 was higher (TBR_blood_pool, 6.48), and a low signal on T1WI and a high signal on T2WI were observed on PET/MRI (<xref rid="f3-ol-32-1-15647" ref-type="fig">Fig. 3C</xref>). Considering factors such as fibrosis, this specific case was not defined as metastasis due to the high uptake of <sup>68</sup>Ga-FAPI-04 at that time. The pathological results obtained after a 2-month follow-up confirmed that the abnormal uptake and signals in the abdominal wall indicated the presence of metastasis.</p>
</sec>
<sec>
<title>Lymph nodes</title>
<p>Among the included patients, 45.45&#x0025; (10/22) were diagnosed with lymph node involvement. Using pathological sections or subsequent imaging follow-up, 91 TP lymph nodes were identified and used as the control standard. The TBR_blood_pool of <sup>68</sup>Ga-FAPI-04 used for imaging of metastatic lymph nodes was notably increased compared with that of <sup>18</sup>F-FDG and the imaging effect was notable (<xref rid="f4-ol-32-1-15647" ref-type="fig">Fig. 4E-G</xref>). There was no significant difference in the uptake of <sup>18</sup>F-FDG and <sup>68</sup>Ga-FAPI-04 in inflammatory lymph nodes (<xref rid="f5-ol-32-1-15647" ref-type="fig">Fig. 5E-G</xref>).</p>
</sec>
<sec>
<title>Treatment-naive and postoperative metastatic lymph nodes</title>
<p>When evaluating imaging modalities for the detection of untreated lymph node metastases, <sup>18</sup>F-FDG demonstrated limitations. Among patients followed up for 1 year after <sup>18</sup>F-FDG imaging, non-metastatic lymph nodes were misdiagnosed as metastatic, leading to overestimation of lymph node involvement compared with histopathological findings (the gold standard). Accordingly, the diagnostic accuracy of <sup>18</sup>F-FDG was lower than that of <sup>68</sup>Ga-FAPI-04 (71.79 vs 88.46&#x0025;; P&#x003C;0.001) (<xref rid="tII-ol-32-1-15647" ref-type="table">Table II</xref>). By contrast, <sup>68</sup>Ga-FAPI-04 exhibited significantly improved diagnostic performance, with higher specificity (66.67 vs. 36.11&#x0025;; P=0.009) and accuracy (73.33 vs. 48.89&#x0025;; P=0.02) compared with <sup>18</sup>F-FDG (<xref rid="tII-ol-32-1-15647" ref-type="table">Table II</xref>). Semi-quantitatively, <sup>68</sup>Ga-FAPI-04 exhibited a significantly higher TBR_blood_pool [6.07 (5.77&#x2013;6.37) vs. 1.94 (1.92&#x2013;1.97); P&#x003C;0.001; <xref rid="f4-ol-32-1-15647" ref-type="fig">Fig. 4E</xref>].</p>
<p>Among treated patients, <sup>18</sup>F-FDG failed to detect 9 cases of lymph node metastases. <sup>68</sup>Ga-FAPI-04 exhibited significantly higher diagnostic sensitivity (100 vs. 89.02&#x0025;; P=0.002) accuracy (93.69 vs. 80.18&#x0025;; P=0.003) and NPV (100.00 vs. 64.00&#x0025;; P=0.002) compared with <sup>18</sup>F-FDG (<xref rid="tII-ol-32-1-15647" ref-type="table">Table II</xref>). The TBR_blood_pool of <sup>68</sup>Ga-FAPI-04 (9.13&#x00B1;2.93 vs. 4.01&#x00B1;1.72; P&#x003C;0.001) (<xref rid="tIII-ol-32-1-15647" ref-type="table">Table III</xref>) was also significantly higher, indicating stronger imaging and diagnostic capabilities (<xref rid="f4-ol-32-1-15647" ref-type="fig">Fig. 4F</xref>) (<xref rid="b17-ol-32-1-15647" ref-type="bibr">17</xref>,<xref rid="b27-ol-32-1-15647" ref-type="bibr">27</xref>).</p>
</sec>
<sec>
<title>Lymph nodes in different body regions</title>
<p>The present study evaluated the detection of metastatic (<xref rid="f4-ol-32-1-15647" ref-type="fig">Fig. 4</xref>) and non-metastatic lymph nodes in four regions (<xref rid="f5-ol-32-1-15647" ref-type="fig">Fig. 5</xref>). The qualitative comparison results of the diagnosis of lymph nodes in these four regions are shown in <xref rid="tIV-ol-32-1-15647" ref-type="table">Table IV</xref>.</p>
<p>When evaluating abdominal metastatic lymph nodes, <sup>68</sup>Ga-FAPI-04 demonstrated significantly higher diagnostic sensitivity (100 vs. 87.5&#x0025;; P=0.002), accuracy (97.56 vs. 86.59&#x0025;; P=0.02) and NPV (100 vs. 47.06&#x0025;; P=0.02) compared with <sup>18</sup>F-FDG.</p>
<p>In semi-quantitative parameter comparisons, <sup>68</sup>Ga-FAPI-04 demonstrated significantly higher uptake compared with <sup>18</sup>F-FDG in metastatic lymph nodes across all anatomical regions: Cervical [7 nodes, TBR_blood_pool, 16.23 (14.47&#x2013;16.95) vs. 7.25 (5.911&#x2013;8.66); P&#x003C;0.001], thoracic [4 nodes, 10.00 (8.06&#x2013;12.00) vs. 4.87 (3.47&#x2013;6.81); P&#x003C;0.001], abdominal (72 nodes, 8.52&#x00B1;2.29 vs. 3.67&#x00B1;1.33; P&#x003C;0.001) and pelvic [6 nodes, 4.11 (3.86&#x2013;4.49) vs. 1.55 (1.41&#x2013;1.67); P&#x003C;0.001] (<xref rid="f4-ol-32-1-15647" ref-type="fig">Fig. 4A-D and H-K</xref>).</p>
<p>For non-metastatic (inflammatory/benign) lymph nodes, <sup>18</sup>F-FDG frequently exhibited FP uptake in thoracic lymph nodes due to inflammation, whereas <sup>68</sup>Ga-FAPI-04 achieved significantly higher diagnostic accuracy in thoracic lymph nodes (72.55 vs. 7.84&#x0025;; P&#x003C;0.001). In semi-quantitative analysis of benign lymph nodes, <sup>68</sup>Ga-FAPI-04 exhibited significantly lower TBR_blood_pool in inflammatory thoracic lymph nodes compared with <sup>18</sup>F-FDG (1.88&#x00B1;0.87 vs. 2.71&#x00B1;1.14; P&#x003C;0.001) (<xref rid="f5-ol-32-1-15647" ref-type="fig">Fig. 5B and I</xref>), with no significant differences in uptake between the two tracers observed in cervical, abdominal or pelvic benign lymph nodes.</p>
</sec>
<sec>
<title>Distant metastases</title>
<p>In total, 12 patients had distant organ metastases in various sites, including the liver, kidney, pancreatic head, lung, peritoneum, bone, brain, ovary and spleen. Notably, 1 patient had simultaneous liver and spleen metastases. <sup>18</sup>F-FDG missed one peritoneal metastasis, one bone metastasis, one pancreatic head with surrounding peritoneal involvement, three splenic metastases, three liver metastases and one renal metastasis, whereas <sup>68</sup>Ga-FAPI-04 clearly detected all these metastatic lesions except for one renal metastasis and one small liver metastasis. However, for lung metastases, <sup>18</sup>F-FDG PET/CT exhibited improved imaging performance compared with <sup>68</sup>Ga-FAPI-04 PET/MRI.</p>
<p>In detecting distant organ metastases in GI tumors with atypical metabolism, <sup>68</sup>Ga-FAPI-04 demonstrated significantly higher sensitivity (92.31 vs. 61.54&#x0025;; P=0.008) and accuracy (88.89 vs. 62.96&#x0025;; P=0.03) compared with <sup>18</sup>F-FDG (<xref rid="tII-ol-32-1-15647" ref-type="table">Table II</xref>). <sup>68</sup>Ga-FAPI-04 also exhibited significantly higher uptake in distant metastases (TBR_blood_pool, 6.87&#x00B1;4.16 vs. 3.31&#x00B1;2.19; P&#x003C;0.001) as well as in the liver, peritoneum, bone and spleen. A comparison of all TBR_blood_pool values is listed in <xref rid="tIII-ol-32-1-15647" ref-type="table">Table III</xref>.</p>
</sec>
<sec>
<title>Staging impact</title>
<p>Compared with <sup>18</sup>F-FDG PET, <sup>68</sup>Ga-FAPI-04 PET induced staging changes in 36.4&#x0025; of cases (8/22). Among these, 31.8&#x0025; (7/22) had an upstaging. Specifically, 57.1&#x0025; (4/7) were whole or partial PDA, 28.6&#x0025; (2/7) were whole or partial MC and 14.3&#x0025; (1/7) were adenocarcinoma with unclear differentiation. In 4.5&#x0025; (1/22) of cases, a downstaging was noted, specifically in a case of metastatic duodenal adenocarcinoma.</p>
<p><sup>68</sup>Ga-FAPI-04 PET detected M stage upgrading in 22.7&#x0025; of cases (5/22) and N stage upgrading in 9.1&#x0025; (2/22). The comparison between <sup>68</sup>Ga-FAPI-04 and <sup>18</sup>F-FDG imaging revealed statistically significant differences in the disease stage (P=0.004). However, there was no significant difference in N stage staging between the two imaging modalities. These data were derived from <xref rid="tV-ol-32-1-15647" ref-type="table">Table V</xref>.</p>
<p>The present study also conducted an analysis between biopsy results and staging changes indicated by <sup>68</sup>Ga-FAPI-04 PET. Fisher&#x0027;s exact test was performed to evaluate the associations. The results demonstrated that mucinous (P=0.018), poorly differentiated (P=0.005), and adenocarcinoma (P=0.004) pathological subtypes were all significantly associated with staging changes indicated by <sup>68</sup>Ga-FAPI-04 PET (<xref rid="tVI-ol-32-1-15647" ref-type="table">Table VI</xref>). The results demonstrated that the coincidence rate between pathological findings and the diagnostic results of lesion staging changes detected by <sup>68</sup>Ga-FAPI-04 PET was 62.5&#x0025; (5/8), indicating a high degree of consistency between its staging judgments and the pathological gold standard. The nature of the remaining lesions was confirmed using imaging follow-up.</p>
<p>According to the subgroup analysis, among these lesions whose staging was changed based on <sup>68</sup>Ga-FAPI-04 PET detection, 62.5&#x0025; (5/8) were poorly differentiated adenocarcinoma or MC. This suggested that <sup>18</sup>F-FDG PET uptake is atypical in poorly differentiated adenocarcinoma or MC and these subtypes are more likely to achieve medical benefits in staging via <sup>68</sup>Ga-FAPI-04 PET detection.</p>
<p>The influence of <sup>68</sup>Ga-FAPI-04 PET on staging is summarized in <xref rid="tV-ol-32-1-15647" ref-type="table">Table V</xref>. The analysis presented in the current study focuses on the differences in N and M staging, as well as overall staging.</p>
</sec>
<sec>
<title>Treatment impact</title>
<p><sup>68</sup>Ga-FAPI-04 influenced the management of subsequent oncological treatments in 27.3&#x0025; of cases (6/22). Among them, 66.7&#x0025; (4/6) experienced major treatment changes and 33.3&#x0025; (2/6) had minor changes (these data were calculated from <xref rid="tV-ol-32-1-15647" ref-type="table">Table V</xref>). Overall, patients diagnosed with PDC and MC had the highest proportion of treatment changes, accounting for 83.3&#x0025; (5/6).</p>
<p>The following patient-level changes were documented in detail: <sup>68</sup>Ga-FAPI-04 successfully detected early local recurrence of PDA and MC (<xref rid="f3-ol-32-1-15647" ref-type="fig">Fig. 3B</xref>) and pancreaticoduodenal metastases (<xref rid="f6-ol-32-1-15647" ref-type="fig">Fig. 6C</xref>). These findings prompted notable modifications to the therapeutic strategy at the initiation of systemic chemotherapy. Notably, the recurrent metastases were confirmed via gastroscopic follow-up 1 month after initial assessment and the patient was followed up for a total of 1 year.</p>
<p>In patients with metastatic moderately differentiated esophageal and rectal cancer (patients 19 and 22), <sup>68</sup>Ga-FAPI-04 PET/MRI demonstrated increased involvement of the bones, liver and spleen, while <sup>18</sup>F-FDG PET/CT failed to detect evident tumors. This discrepancy led to the recommendation of additional systemic therapy, which was regarded as a minor adjustment to the existing treatment plan.</p>
<p>The present study also conducted an analysis between biopsy results and changes in treatment decisions induced by <sup>68</sup>Ga-FAPI-04 PET. Fisher&#x0027;s exact test was subsequently performed for statistical analysis, and the results revealed that pathological features, including mucinous subtype (P=0.01), poorly differentiated histology (P&#x003C;0.001) and adenocarcinoma (P&#x003C;0.001), were all associated with changes in treatment decisions indicated by <sup>68</sup>Ga-FAPI-04 PET (<xref rid="tVI-ol-32-1-15647" ref-type="table">Table VI</xref>). The results demonstrated that the coincidence rate between pathological findings and the diagnostic results of <sup>68</sup>Ga-FAPI-04 PET for lesions leading to treatment decision changes was 83.3&#x0025; (5/6), indicating a high degree of consistency between its treatment-related judgments and the pathological gold standard. The nature of the remaining lesion was determined based on follow-up.</p>
<p>According to the subgroup analysis, among these lesions for which treatment plans were adjusted based on <sup>68</sup>Ga-FAPI-04 PET detection, 83.3&#x0025; (5/6) were poorly differentiated adenocarcinoma or MC. This suggested that <sup>18</sup>FDG PET uptake is atypical in poorly differentiated adenocarcinoma or MC and these subtypes are more likely to achieve medical benefits in terms of treatment plan adjustment via <sup>68</sup>Ga-FAPI-04 PET detection.</p>
<p><xref rid="tV-ol-32-1-15647" ref-type="table">Table V</xref> summarizes the subsequent impact of FAP-targeted molecular imaging on treatment decisions.</p>
</sec>
<sec>
<title>Additional value of MRI</title>
<p>In PET/MRI, the multiple signal sequences of MRI can provide additional imaging parameters and offer high soft-tissue resolution, which aids in accurate diagnosis and confers added value to the detection of primary and metastatic lesions in abdominal and pelvic tumors.</p>
<p>In the present study, MRI identified a renal metastasis in patient 4, who was diagnosed with differentiated adenocarcinoma of the ascending colon. However, this metastatic lesion was not detected by either of the two radiotracers.</p>
</sec>
<sec>
<title>Cost-benefit analysis</title>
<p>Regarding the potential cost benefit of <sup>68</sup>Ga-FAPI-04 PET/MRI compared with <sup>18</sup>F-FDG PET/CT in diagnosing atypical GI tumors, calculations show that the hospital cost of <sup>68</sup>Ga-FAPI-04 PET/MRI was higher (RMB 98,583 for 22 patients; RMB 4,481 per person) than that of <sup>18</sup>F-FDG PET/CT (RMB 24,347 for 22 patients; RMB 1,107 per person), resulting in a total cost difference of RMB 98,583. However, for 6 patients whose treatment decisions were altered based on PET/MRI findings, the indirect benefits largely offset this cost difference, generating greater overall value.</p>
<p>In patients 5 and 20, <sup>68</sup>Ga-FAPI-04 PET/MRI detected anastomotic recurrences missed by both <sup>18</sup>F-FDG and initial pathology, eliminating the need for subsequent gastroscopy follow-ups and pathological examinations. This saved &#x007E;RMB 2,200 per patient (for gastroscopy, anesthesia, pathology and staining), totaling RMB 4,400 for both. It also avoided one subsequent hospitalization for each patient (&#x007E;RMB 8,000 per hospitalization) and one follow-up PET/CT scan (RMB 7,000 per scan), resulting in total savings of RMB 34,400.</p>
<p>In patients 16, 19, 21 and 22, <sup>68</sup>Ga-FAPI-04 PET/MRI identified additional metastases (pancreatic head, multiple bone lesions, abdominal wall nodules and liver/spleen metastases, respectively). This reduced the need for three subsequent CT follow-ups per patient (&#x007E;RMB 500 per CT), saving RMB 1,500 per patient. It also avoided one hospitalization (RMB 8,000 each) and one PET/CT follow-up scan (RMB 7,000 for 1 patient), generating total savings of RMB 66,000 for these 4 patients.</p>
<p>For the 22 patients, the additional hospital cost of <sup>68</sup>Ga-FAPI-04 PET/MRI over <sup>18</sup>F-FDG PET/CT was &#x007E;RMB 98,583, while the total benefits from altered management amounted to RMB 100,400, thus covering the cost difference. Additionally, patients saved considerable time and reduced the risk of disease progression.</p>
<p>These findings suggest that although <sup>68</sup>Ga-FAPI-04 PET/MRI has higher initial costs, its long-term economic benefits through optimized treatment decisions support its clinical adoption in cases where <sup>18</sup>F-FDG results are inconclusive for GI tumors.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p><sup>18</sup>F-FDG has limitations in diagnosing GI tumors with atypical glucose metabolism, demonstrating low sensitivity for primary and metastatic lesions with low metabolic activity, such as GI stromal tumors (<xref rid="b30-ol-32-1-15647" ref-type="bibr">30</xref>), mucinous adenocarcinoma (<xref rid="b31-ol-32-1-15647" ref-type="bibr">31</xref>) or signet-ring cell carcinoma (<xref rid="b32-ol-32-1-15647" ref-type="bibr">32</xref>). Regarding lymph node staging, <sup>18</sup>F-FDG often yields FP results in the mediastinal and bilateral hilar regions due to inflammatory hypermetabolism. For distant metastases, <sup>18</sup>F-FDG shows lower target-to-background ratios than <sup>68</sup>Ga-FAPI-04 in extra-pulmonary sites (for example, the liver, peritoneum and spleen). The present findings confirm that <sup>68</sup>Ga-FAPI-04 PET/MRI is a valuable complementary tool for detecting such GI tumors, which is consistent with the findings by Pang <italic>et al</italic> (<xref rid="b29-ol-32-1-15647" ref-type="bibr">29</xref>). Moreover, by being less affected by postsurgical inflammation, this imaging modality allows for more accurate identification of nodal metastases, thereby avoiding inappropriate adjustments to tumor staging and clinical management in a notable proportion of patients.</p>
<p>Although the present study highlights the advantages of <sup>68</sup>Ga-FAPI-04 and supports its clinical value in GI tumors with atypical or equivocal <sup>18</sup>F-FDG metabolism, <sup>68</sup>Ga-FAPI-04 remains an imperfect radiotracer for malignant lesions due to FP uptake in fibrotic or healing tissues. For instance, anastomotic sites with fibrotic tissue proliferation can exhibit varying degrees of tracer uptake, as demonstrated by the findings of Li <italic>et al</italic> (<xref rid="b33-ol-32-1-15647" ref-type="bibr">33</xref>). Beyond these anastomotic FPs, studies such as that by Mori <italic>et al</italic> (<xref rid="b11-ol-32-1-15647" ref-type="bibr">11</xref>) indicate that conditions such as arthritis, myocardial fibrosis and uterine fibroids may also lead to FP FAPI uptake. In future studies, the underlying causes of FAPI FPs in benign lesions, specific semi-quantitative uptake parameters and imaging patterns will be further investigated.</p>
<p>The present study has several limitations. First, the sample size was relatively small (n=22), primarily due to the lengthy <sup>68</sup>Ga-FAPI-04 PET/MRI protocol (60 min), the limited scanner availability, the high cost of <sup>68</sup>Ga-FAPI-04 tracer production requiring a <sup>68</sup>Ge/<sup>68</sup>Ga generator and the stringent inclusion criteria. Of 112 cases that were potentially eligible during the study period, only 22 completed the entire protocol. Accordingly, given the relatively small analyzable sample, no significant differences were observed in the diagnostic accuracy and semi-quantitative parameters of the two radionuclides for detecting anastomotic recurrence and abdominal wall incision lesions. Second, inherent differences in imaging and reconstruction between PET/MRI and PET/CT may lead to non-comparable SUV measurements. To mitigate this, the present study applied the TBR_blood_pool for semi-quantitative correction, a validated method consistent with the study by Qin <italic>et al</italic> (<xref rid="b26-ol-32-1-15647" ref-type="bibr">26</xref>). Furthermore, to prevent potential MRI signal gain from exaggerating <sup>68</sup>Ga-FAPI-04 results, only CT and MRI for anatomical localization were used in the direct tracer comparison. Specifically, hyperintense MRI findings were discussed separately in the results. Lastly, the present study was registered as retrospective, as registration occurred after its initiation, although the methodology was prospectively applied.</p>
<p>Future large-scale, multi-center studies are required to validate these findings. The present preliminary cost-effectiveness analysis supports the value of <sup>68</sup>Ga-FAPI-04, demonstrating benefits for both hospital resource allocation and patient outcomes. As the role of <sup>68</sup>Ga-FAPI-04 in GI tumors becomes clearer, this radiotracer is poised for gradual integration into clinical workflows.</p>
<p>In summary, <sup>68</sup>Ga-FAPI-04 demonstrates notably increased diagnostic performance in comparison to <sup>18</sup>F-FDG in GI cancer with atypical metabolic activity, particularly in poorly differentiated and mucinous subtypes, and exhibits favorable cost-effectiveness. The ability of <sup>68</sup>Ga-FAPI-04 to improve staging accuracy and guide treatment modifications underscores its significant potential as a clinical imaging tool.</p>
</sec>
<sec sec-type="supplementary-material">
<title>Supplementary Material</title>
<supplementary-material id="SD1-ol-32-1-15647" content-type="local-data">
<caption>
<title>Supporting Data</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data1.pdf"/>
</supplementary-material>
<supplementary-material id="SD2-ol-32-1-15647" content-type="local-data">
<caption>
<title>Supporting Data</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data2.pdf"/>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The data generated in the present study are not publicly available due to restrictions by the Institutional Review Board of the First Affiliated Hospital of Anhui Medical University (Hefei, China) to protect participant privacy, but may be requested from the corresponding author.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>JM, YX, FQ, NC, MK, YZ and HW contributed to the study conception and design. Material preparation, data collection and analysis were performed by YX, FQ and NC. The first draft of the manuscript was written by JM, and all authors commented on previous versions of the manuscript. All authors have read and approved the final manuscript. JM, YX and HW confirm the authenticity of all the raw data.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The present study was performed in line with the principles of the Declaration of Helsinki. Ethics approval was granted for the present study by the Ethics Committee of Anhui Medical University (Hefei, China; date, 9th May 2022; approval no. PJ2022-05-09). Informed consent was obtained from all individual participants included in the present study.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Written informed consent was provided by the affected patients for publication of the images in <xref rid="f2-ol-32-1-15647" ref-type="fig">Fig. 2</xref>, <xref rid="f3-ol-32-1-15647" ref-type="fig">Fig. 3</xref>, <xref rid="f4-ol-32-1-15647" ref-type="fig">Fig. 4</xref>, <xref rid="f5-ol-32-1-15647" ref-type="fig">Fig. 5</xref>, <xref rid="f6-ol-32-1-15647" ref-type="fig">Fig. 6</xref>.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<sec>
<title>Authors&#x0027; information</title>
<p>ORCID: JM, 0000-0002-0368-0748; HW, 0000-0002-5753-4420.</p>
</sec>
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<floats-group>
<fig id="f1-ol-32-1-15647" position="float">
<label>Figure 1.</label>
<caption><p>Flowchart of patient selection. FAPI, fibroblast-activation protein inhibitor; <sup>68</sup>Ga, gallium 68; FDG, fluorodeoxyglucose; <sup>18</sup>F, fluorine 18; PET, positron emission tomography; MRI, magnetic resonance imaging; CT, computed tomography.</p></caption>
<alt-text>Flowchart of patient selection. FAPI, fibroblast-activation protein inhibitor; 68Ga, gallium 68; FDG, fluorodeoxyglucose...</alt-text>
<graphic xlink:href="ol-32-01-15647-g00.tif"/>
</fig>
<fig id="f2-ol-32-1-15647" position="float">
<label>Figure 2.</label>
<caption><p>Comparison of <sup>18</sup>F-FDG and <sup>68</sup>Ga-FAPI-04 MIP images. MIP images of 5 patients clearly demonstrating marked differences between the two tracers, including visualization of (A) metastasis in the pancreaticoduodenum, (B) anastomotic recurrence, (C) cerebellar metastasis, (D) splenic metastasis and (E) peritoneal metastasis. Two orange arrows (upper and lower) constitute a pair, indicating the visual comparison of the same lesion in the same patient on MIP images obtained with two different tracers. MIP, maximum intensity projection; FAPI, fibroblast-activation protein inhibitor; <sup>68</sup>Ga, gallium 68; FDG, fluorodeoxyglucose; <sup>18</sup>F, fluorine 18.</p></caption>
<alt-text>Comparison of 18F-FDG and 68Ga-FAPI-04 MIP images. MIP images of 5 patients clearly demonstrating marked...</alt-text>
<graphic xlink:href="ol-32-01-15647-g01.tif"/>
</fig>
<fig id="f3-ol-32-1-15647" position="float">
<label>Figure 3.</label>
<caption><p><sup>68</sup>Ga-FAPI-04 PET/MRI vs. <sup>18</sup>F-FDG PET/CT: Quantitative comparison of primary tumors and anastomotic sites. Primary tumor focus of (A) a patient with gastrointestinal cancer, (B) the anastomotic recurrence of 1 patient, (C) the metastatic abdominal wall incision of 1 patient and (D and E) the benign anastomoses of 2 patients. The white arrows appear in paired upper and lower positions, indicating the uptake comparison of the two tracers at the same anatomical site. The orange arrows also appear in paired upper and lower positions, corresponding to the MRI T1WI and T2WI signals of the same lesion, respectively. The color bar shows a consistent color scale (7.0) for all images. Histograms are respectively used to display the statistical differences in the TBR_blood_pool of the primary tumor foci of (F) the two tracers, (G) the recurrent anastomoses and the metastatic abdominal wall incisions, as well as (H) the benign anastomoses. The numbers on the histograms represent the sample size of each group. &#x002A;&#x002A;P&#x003C;0.01. TBR_blood_pool, tumor-to-blood-pool ratio; ns, not significant; FAPI, fibroblast-activation protein inhibitor; <sup>68</sup>Ga, gallium 68; FDG, fluorodeoxyglucose; <sup>18</sup>F, fluorine 18; PET, positron emission tomography; MRI, magnetic resonance imaging; CT, computed tomography.</p></caption>
<alt-text>68Ga-FAPI-04 PET/MRI vs. 18F-FDG PET/CT: Quantitative comparison of primary tumors and anastomotic sites...</alt-text>
<graphic xlink:href="ol-32-01-15647-g02.tif"/>
</fig>
<fig id="f4-ol-32-1-15647" position="float">
<label>Figure 4.</label>
<caption><p><sup>68</sup>Ga-FAPI-04 PET/MRI vs. <sup>18</sup>F-FDG PET/CT: Quantitative comparison of metastatic lymph nodes. Comparison between <sup>68</sup>Ga-FAPI-04 PET/MRI and <sup>18</sup>F-FDG PET/CT for metastatic lymph nodes located in the (A) cervical, (B) thoracic, (C) abdominal and (D) pelvic regions, respectively. The white arrows appear in paired upper and lower positions, indicating the uptake comparison of the two tracers at the same anatomical site. The orange arrows also appear in paired upper and lower positions, corresponding to the MRI T1WI and T2WI signals of the same lesion, respectively. The color bar shows a consistent color scale (7.0) for all images. Histograms show the statistical differences in TBR_blood_pool between the two tracers for metastatic lymph nodes: (E) Treatment-naive lymph nodes, (F) postsurgical and other treated lymph nodes, (G) all metastatic lymph nodes, as well as for (H) cervical, (I) thoracic, (J) abdominal and (K) pelvic regions, respectively. The numbers on the histograms represent the sample size of each group. &#x002A;&#x002A;&#x002A;P&#x003C;0.001. TBR_blood_pool, tumor-to-blood-pool ratio; FAPI, fibroblast-activation protein inhibitor; <sup>68</sup>Ga, gallium 68; FDG, fluorodeoxyglucose; <sup>18</sup>F, fluorine 18; PET, positron emission tomography; MRI, magnetic resonance imaging; CT, computed tomography.</p></caption>
<alt-text>68Ga-FAPI-04 PET/MRI vs. 18F-FDG PET/CT: Quantitative comparison of metastatic lymph nodes. Comparison...</alt-text>
<graphic xlink:href="ol-32-01-15647-g03.tif"/>
</fig>
<fig id="f5-ol-32-1-15647" position="float">
<label>Figure 5.</label>
<caption><p><sup>68</sup>Ga-FAPI-04 PET/MRI vs. <sup>18</sup>F-FDG PET/CT: quantitative comparison of benign lymph nodes. Comparison between <sup>68</sup>Ga-FAPI-04 PET/MRI and <sup>18</sup>F-FDG PET/CT for benign lymph nodes located in the (A) cervical, (B) thoracic, (C) abdominal and (D) pelvic regions, respectively. The white arrows appear in paired upper and lower positions, indicating the uptake comparison of the two tracers at the same anatomical site. The orange arrows also appear in paired upper and lower positions, corresponding to the MRI T1WI and T2WI signals of the same lesion, respectively. The color bar shows a consistent color scale (7.0) for all images. Histograms show the statistical differences in TBR_blood_pool between the two tracers for benign lymph nodes: (E) Treatment-naive lymph nodes, (F) postsurgical and other treated lymph nodes, (G) all benign lymph nodes, as well as for (H) cervical, (I) thoracic, (J) abdominal and (K) pelvic regions, respectively. The numbers on the histograms represent the sample size of each group. &#x002A;&#x002A;&#x002A;P&#x003C;0.001. ns, not significant; TBR_blood_pool, tumor-to-blood-pool ratio; FAPI, fibroblast-activation protein inhibitor; <sup>68</sup>Ga, gallium 68; FDG, fluorodeoxyglucose; <sup>18</sup>F, fluorine 18; PET, positron emission tomography; MRI, magnetic resonance imaging; CT, computed tomography.</p></caption>
<alt-text>68Ga-FAPI-04 PET/MRI vs. 18F-FDG PET/CT: quantitative comparison of benign lymph nodes. Comparison between...</alt-text>
<graphic xlink:href="ol-32-01-15647-g04.tif"/>
</fig>
<fig id="f6-ol-32-1-15647" position="float">
<label>Figure 6.</label>
<caption><p><sup>68</sup>Ga-FAPI-04 PET/MRI vs. <sup>18</sup>F-FDG PET/CT: Quantitative comparison of distant metastasis. Comparison between <sup>68</sup>Ga-FAPI-04 PET/MRI and <sup>18</sup>F-FDG PET/CT for the metastases of gastrointestinal tumors in the (A) peritoneum, (B) spleen, (C) pancreatic head and peritoneum metastasis, (D) liver, (E) bone, (F) cerebellum and (G) kidney. The color bar shows a consistent color scale (7.0) for all images. (H) The histogram shows the comparison of the TBR_blood_pool of the two tracers for distant organ metastases. The numbers on the histograms represent the sample size of each group. &#x002A;&#x002A;&#x002A;P&#x003C;0.001. TBR_blood_pool, tumor-to-blood-pool ratio; FAPI, fibroblast-activation protein inhibitor; <sup>68</sup>Ga, gallium 68; FDG, fluorodeoxyglucose; <sup>18</sup>F, fluorine 18; PET, positron emission tomography; MRI, magnetic resonance imaging; CT, computed tomography.</p></caption>
<alt-text>68Ga-FAPI-04 PET/MRI vs. 18F-FDG PET/CT: Quantitative comparison of distant metastasis. Comparison between...</alt-text>
<graphic xlink:href="ol-32-01-15647-g05.tif"/>
</fig>
<table-wrap id="tI-ol-32-1-15647" position="float">
<label>Table I.</label>
<caption><p>Clinical characteristics of patients with gastrointestinal cancer (n=22).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age, years</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Median</td>
<td align="center" valign="top">60.24</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Range</td>
<td align="center" valign="top">6.89</td>
</tr>
<tr>
<td align="left" valign="top">Sex, n (&#x0025;)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">12 (54.55)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">10 (45.46)</td>
</tr>
<tr>
<td align="left" valign="top">Primary site of cancer, n (&#x0025;)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Esophagus</td>
<td align="center" valign="top">7 (31.82)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Stomach</td>
<td align="center" valign="top">7 (31.82)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Colon</td>
<td align="center" valign="top">5 (22.73)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Rectum</td>
<td align="center" valign="top">3 (13.64)</td>
</tr>
<tr>
<td align="left" valign="top">Role of PET, n (&#x0025;)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Primary staging/treatment-naive</td>
<td align="center" valign="top">2 (9.09)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Recurrence detection/restaging</td>
<td align="center" valign="top">20 (90.91)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Squamous cell carcinoma</td>
<td align="center" valign="top">6 (27.27)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Adenocarcinoma</td>
<td align="center" valign="top">9 (40.91)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mucinous cancer</td>
<td align="center" valign="top">3 (13.64)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Miscellaneous</td>
<td align="center" valign="top">4 (18.18)</td>
</tr>
<tr>
<td align="left" valign="top">Degree of differentiation, n (&#x0025;)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Fully or partially moderately</td>
<td align="center" valign="top">10 (45.45)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Fully or partially poorly</td>
<td align="center" valign="top">6 (27.27)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;NA</td>
<td align="center" valign="top">6 (27.27)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-32-1-15647"><p>NA, not applicable; PET, positron emission tomography.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-32-1-15647" position="float">
<label>Table II.</label>
<caption><p>Qualitative evaluation of lesions by <sup>68</sup>Ga-FAPI-04 PET/magnetic resonance imaging vs. <sup>18</sup>F-FDG PET/computed tomography.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Lesion category</th>
<th align="center" valign="bottom">Sensitivity, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">Specificity, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">Accuracy, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">PPV, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">NPV, (n/total n) &#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Primary tumor</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;n0</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(5/6) 83.33</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">(5/6) 83.33</td>
<td align="center" valign="top">(5/5)100.00</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(3/6) 50.00</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">(3/6) 50.00</td>
<td align="center" valign="top">(3/3) 100.00</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">0.55</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">0.55</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top">Anastomotic recurrence and abdominal wall incisions</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;n1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(2/3) 66.67</td>
<td align="center" valign="top">(11/14) 78.57</td>
<td align="center" valign="top">(13/17) 76.47</td>
<td align="center" valign="top">(2/5) 40.00</td>
<td align="center" valign="top">(11/12) 91.67</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(0/3) 0.00</td>
<td align="center" valign="top">(7/14) 50.00</td>
<td align="center" valign="top">(7/16) 43.75</td>
<td align="center" valign="top">(0/8) 0.00</td>
<td align="center" valign="top">(7/8) 87.50</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">0.4</td>
<td align="center" valign="top">0.24</td>
<td align="center" valign="top">0.08</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">1.0</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node metastasis</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;n0</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(9/9) 100.00</td>
<td align="center" valign="top">(24/36) 66.67</td>
<td align="center" valign="top">(33/45) 73.33</td>
<td align="center" valign="top">(9/21) 42.86</td>
<td align="center" valign="top">(24/24) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(9/9) 100.00</td>
<td align="center" valign="top">(13/36) 36.11</td>
<td align="center" valign="top">(22/45) 48.89</td>
<td align="center" valign="top">(9/32) 28.13</td>
<td align="center" valign="top">(13/13) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">0.009<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.02<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.27</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;n1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(82/82) 100.00</td>
<td align="center" valign="top">(22/29) 75.86</td>
<td align="center" valign="top">(104/111) 93.69</td>
<td align="center" valign="top">(82/89) 92.13</td>
<td align="center" valign="top">(22/22) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(73/82) 89.02</td>
<td align="center" valign="top">(16/29) 55.17</td>
<td align="center" valign="top">(89/111) 80.18</td>
<td align="center" valign="top">(73/86) 84.88</td>
<td align="center" valign="top">(16/25) 64.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">0.002<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.10</td>
<td align="center" valign="top">0.003<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">0.002<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;n</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(91/91) 100.00</td>
<td align="center" valign="top">(47/65) 72.31</td>
<td align="center" valign="top">(138/156) 88.46</td>
<td align="center" valign="top">(91/109) 83.49</td>
<td align="center" valign="top">(47/47) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(81/91) 89.01</td>
<td align="center" valign="top">(31/65) 47.69</td>
<td align="center" valign="top">(112/156) 71.79</td>
<td align="center" valign="top">(81/107) 75.70</td>
<td align="center" valign="top">(31/49) 63.27</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">0.001<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.004<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.0002<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.16</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Distant organ metastasis</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;n</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(24/26) 92.31</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">(24/27) 88.89</td>
<td align="center" valign="top">(24/25) 96.00</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(16/26) 61.54</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">(17/27) 62.96</td>
<td align="center" valign="top">(16/16) 100.00</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">0.008<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">0.03<sup><xref rid="tfn2-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">&#x003E;0.99</td>
<td align="center" valign="top">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-32-1-15647"><label>a</label><p>P&#x003C;0.05. n0, participants who had not undergone surgery or therapy, n1=participants who had undergone surgery or therapy, n=n0&#x002B;n1. <sup>18</sup>F, fluorine 18; FDG, fluorodeoxyglucose; <sup>68</sup>Ga, gallium 68; FAPI, fibroblast-activation protein inhibitor; NA, not applicable; PPV, positive predictive value; NPV, negative predictive value; PET, positron emission tomography.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-ol-32-1-15647" position="float">
<label>Table III.</label>
<caption><p>Quantitative assessment of diagnosed lesions in organs and lymph nodes by <sup>68</sup>Ga-FAPI-04 PET-magnetic resonance imaging vs. <sup>18</sup>F-FDG PET-computed tomography.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3">Malignant lesions</th>
<th align="center" valign="bottom" colspan="3">Benign lesions</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3"><hr/></th>
<th align="center" valign="bottom" colspan="3"><hr/></th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">TBR_blood_pool</th>
<th/>
<th align="center" valign="bottom" colspan="2">TBR_blood_pool</th>
<th/>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Lesion site</th>
<th align="center" valign="bottom"><sup>68</sup>Ga-FAPI-04</th>
<th align="center" valign="bottom"><sup>18</sup>F-FDG</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom"><sup>68</sup>Ga-FAPI-04</th>
<th align="center" valign="bottom"><sup>18</sup>F-FDG</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Primary tumor</td>
<td align="center" valign="top">6.13 (5.71&#x2013;7.57)</td>
<td align="center" valign="top">2.62 (1.82&#x2013;3.03)</td>
<td align="center" valign="top">0.004<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">NA</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Anastomotic recurrence and abdominal wall incisions</td>
<td align="center" valign="top">6.48 (5.97&#x2013;7.79)</td>
<td align="center" valign="top">1.94 (1.83&#x2013;2.11)</td>
<td align="center" valign="top">0.05</td>
<td align="center" valign="top">2.64&#x00B1;1.89</td>
<td align="center" valign="top">1.57&#x00B1;0.55</td>
<td align="center" valign="top">0.10</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node (treatment-naive)</td>
<td align="center" valign="top">6.07 (5.77&#x2013;6.37)</td>
<td align="center" valign="top">1.94 (1.92&#x2013;1.97)</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">2.42&#x00B1;1.59</td>
<td align="center" valign="top">2.80&#x00B1;1.29</td>
<td align="center" valign="top">0.27</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node (postoperative metastasis)</td>
<td align="center" valign="top">9.13&#x00B1;2.93</td>
<td align="center" valign="top">4.01&#x00B1;1.72</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">2.01&#x00B1;1.26</td>
<td align="center" valign="top">2.04&#x00B1;0.65</td>
<td align="center" valign="top">0.93</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node (cervical)</td>
<td align="center" valign="top">16.23</td>
<td align="center" valign="top">7.25 (5.91&#x2013;8.66)</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">2.55</td>
<td align="center" valign="top">2.03</td>
<td align="center" valign="top">0.59</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">(14.47&#x2013;16.95)</td>
<td/>
<td/>
<td align="center" valign="top">(2.04&#x2013;3.05)</td>
<td align="center" valign="top">(1.53&#x2013;2.53)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node (thoracic)</td>
<td align="center" valign="top">10.00 (8.06&#x2013;12.00)</td>
<td align="center" valign="top">4.87 (3.47&#x2013;6.81)</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">1.88&#x00B1;0.87</td>
<td align="center" valign="top">2.71&#x00B1;1.14</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Lymph node (abdomen)</td>
<td align="center" valign="top">8.52&#x00B1;2.29</td>
<td align="center" valign="top">3.67&#x00B1;1.33</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">2.24&#x00B1;1.88</td>
<td align="center" valign="top">1.84&#x00B1;0.73</td>
<td align="center" valign="top">0.59</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node (pelvis)</td>
<td align="center" valign="top">4.11 (3.86&#x2013;4.49)</td>
<td align="center" valign="top">1.55 (1.41&#x2013;1.67)</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">1.25</td>
<td align="center" valign="top">1.69</td>
<td align="center" valign="top">0.13</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">(0.85&#x2013;1.63)</td>
<td align="center" valign="top">(1.45&#x2013;1.81)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node (all)</td>
<td align="center" valign="top">9.07&#x00B1;2.93</td>
<td align="center" valign="top">3.96&#x00B1;1.73</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">2.24&#x00B1;1.46</td>
<td align="center" valign="top">2.46&#x00B1;1.11</td>
<td align="center" valign="top">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Liver</td>
<td align="center" valign="top">3.45 (2.23&#x2013;5.81)</td>
<td align="center" valign="top">2.58 (1.92&#x2013;2.69)</td>
<td align="center" valign="top">0.047<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">NA</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Kidney</td>
<td align="center" valign="top">9.91 (6.20&#x2013;10.08)</td>
<td align="center" valign="top">1.13 (1.09&#x2013;5.48)</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">NA</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Peritoneum</td>
<td align="center" valign="top">9.19,3.88</td>
<td align="center" valign="top">3.05,3.02</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">NA</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Bones</td>
<td align="center" valign="top">10.84 (9.90&#x2013;12.11)</td>
<td align="center" valign="top">5.60 (5.36&#x2013;6.40)</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">NA</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Spleen</td>
<td align="center" valign="top">4.48 (4.13&#x2013;4.71)</td>
<td align="center" valign="top">1.12 (1.09&#x2013;1.16)</td>
<td align="center" valign="top">0.01<sup><xref rid="tfn3-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">NA</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Distant organ metastasis (all)</td>
<td align="center" valign="top">3.31&#x00B1;2.19</td>
<td align="center" valign="top">6.87&#x00B1;4.16</td>
<td align="center" valign="top">&#x003C;0.001<sup>b</sup></td>
<td align="center" valign="top">NA</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-ol-32-1-15647"><label>a</label><p>P&#x003C;0.05. P-values are for comparison of TBR_blood_pool with FDG and FAPI. Data are presented as mean &#x00B1; SD and median (lower quartile-upper quartile). <sup>18</sup>F, fluorine 18; FDG, fluorodeoxyglucose; <sup>68</sup>Ga, gallium 68; FAPI, fibroblast-activation protein inhibitor; NA, not applicable; PPV, positive predictive value; NPV, negative predictive value; PET, positron emission tomography.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-ol-32-1-15647" position="float">
<label>Table IV.</label>
<caption><p>Qualitative evaluation of detected lesions with regional lymph node metastasis by <sup>68</sup>Ga-FAPI-04 PET/magnetic resonance imaging vs. <sup>18</sup>F-FDG PET/computed tomography.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Lymph node site</th>
<th align="center" valign="bottom">Sensitivity, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">Specificity, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">Accuracy, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">PPV, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">NPV, (n/total n) &#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Cervical</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(9/9) 100.00</td>
<td align="center" valign="top">(1/4) 25.00</td>
<td align="center" valign="top">(10/13) 76.92</td>
<td align="center" valign="top">(9/12) 75.00</td>
<td align="center" valign="top">(1/1) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(9/9) 100.00</td>
<td align="center" valign="top">(3/4) 75.00</td>
<td align="center" valign="top">(12/13) 92.31</td>
<td align="center" valign="top">(9/10) 90.00</td>
<td align="center" valign="top">(3/3) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">0.59</td>
<td align="center" valign="top">0.59</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top">Thoracic</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(4/4) 100.00</td>
<td align="center" valign="top">(33/47) 70.21</td>
<td align="center" valign="top">(37/51) 72.55</td>
<td align="center" valign="top">(4/17) 23.53</td>
<td align="center" valign="top">(33/33) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(4/4) 100.00</td>
<td align="center" valign="top">(0/47) 0.00</td>
<td align="center" valign="top">(4/51) 7.84</td>
<td align="center" valign="top">(4/51) 7.84</td>
<td align="center" valign="top">(0/0) 00.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn4-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn4-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.08</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top">Abdominal</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(72/72) 100.00</td>
<td align="center" valign="top">(8/10) 80.00</td>
<td align="center" valign="top">(80/82) 97.56</td>
<td align="center" valign="top">(72/74) 97.30</td>
<td align="center" valign="top">(8/8) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(63/72) 87.50</td>
<td align="center" valign="top">(8/10) 80.00</td>
<td align="center" valign="top">(71/82) 86.59</td>
<td align="center" valign="top">(63/65) 96.92</td>
<td align="center" valign="top">(8/17) 47.06</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">0.002<sup><xref rid="tfn4-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">&#x003E;0.99</td>
<td align="center" valign="top">0.02<sup><xref rid="tfn4-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.90</td>
<td align="center" valign="top">0.02<sup><xref rid="tfn4-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Pelvic</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;<sup>68</sup>Ga-FAPI-04</td>
<td align="center" valign="top">(6/6) 100.00</td>
<td align="center" valign="top">(4/9) 44.44</td>
<td align="center" valign="top">(10/15) 66.67</td>
<td align="center" valign="top">(6/11) 54.55</td>
<td align="center" valign="top">(4/4) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;<sup>18</sup>F-FDG</td>
<td align="center" valign="top">(6/6) 100.00</td>
<td align="center" valign="top">(3/4) 75.00</td>
<td align="center" valign="top">(9/10) 90.00</td>
<td align="center" valign="top">(6/7) 85.71</td>
<td align="center" valign="top">(3/3) 100.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">0.56</td>
<td align="center" valign="top">0.35</td>
<td align="center" valign="top">0.32</td>
<td align="center" valign="top">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn4-ol-32-1-15647"><label>a</label><p>P&#x003C;0.05. <sup>18</sup>F, fluorine 18; FDG, fluorodeoxyglucose; <sup>68</sup>Ga, gallium 68; FAPI, fibroblast-activation protein inhibitor; NA, not applicable; PPV, positive predictive value; NPV, negative predictive value; PET, positron emission tomography.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tV-ol-32-1-15647" position="float">
<label>Table V.</label>
<caption><p>Staging changes and treatment changes of patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Patient no.</th>
<th align="center" valign="bottom">Pathology</th>
<th align="center" valign="bottom"><sup>18</sup>F-FDG staging</th>
<th align="center" valign="bottom"><sup>68</sup>Ga-FAPI-04 staging</th>
<th align="center" valign="bottom">Staging change</th>
<th align="center" valign="bottom">Additional findings</th>
<th align="center" valign="bottom">Previous treatment</th>
<th align="center" valign="bottom">Therapeutic management change</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;1</td>
<td align="left" valign="top">&#x002A;</td>
<td align="left" valign="top">TxN0M1</td>
<td align="left" valign="top">TxN0M1</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Total gastrectomy &#x002B; CT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;2</td>
<td align="left" valign="top">MDA, partial MC</td>
<td align="left" valign="top">T3N1bM0</td>
<td align="left" valign="top">T3N1bM0</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Right colectomy &#x002B; TT &#x002B; IT &#x002B; CT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;3</td>
<td align="left" valign="top">PDA</td>
<td align="left" valign="top">T3N1b3aM0</td>
<td align="left" valign="top">T3N1b3aM1</td>
<td align="center" valign="top">M; upgrade</td>
<td align="center" valign="top">PM, LNM</td>
<td align="left" valign="top">Total gastrectomy &#x002B; partial duodenectomy &#x002B; TT &#x002B; IT &#x002B; CT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;4</td>
<td align="left" valign="top">MDA</td>
<td align="left" valign="top">T3N1M1</td>
<td align="left" valign="top">T3N1M1</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">LM and RM</td>
<td align="left" valign="top">Palliative surgery for right colon cancer &#x002B; IT &#x002B; CT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;5</td>
<td align="left" valign="top">MDA, PDA</td>
<td align="left" valign="top">T3N3M0</td>
<td align="left" valign="top">T3N3M1</td>
<td align="center" valign="top">M; upgrade</td>
<td align="center" valign="top">Recurrence</td>
<td align="left" valign="top">Esophageal cancer radical surgery &#x002B; CT</td>
<td align="center" valign="top">Changed (major)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;6</td>
<td align="left" valign="top">PDA, partial MDA</td>
<td align="left" valign="top">T4N0M1</td>
<td align="left" valign="top">T4N0M1</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Partial resection of the small bowel &#x002B; bilateral salpingo-ovariectomy &#x002B; CT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;7</td>
<td align="left" valign="top">&#x002A;</td>
<td align="left" valign="top">T4N0M0</td>
<td align="left" valign="top">T4N0M0</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;8</td>
<td align="left" valign="top">Adenocarcinoma</td>
<td align="left" valign="top">T3N1bM0</td>
<td align="left" valign="top">T3N2aM0</td>
<td align="center" valign="top">N; upgrade</td>
<td align="center" valign="top">LNM</td>
<td align="left" valign="top">Total mesorectal excision &#x002B; CT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;9</td>
<td align="left" valign="top">SCC (MD)</td>
<td align="left" valign="top">T2N2M1</td>
<td align="left" valign="top">T2N2M1</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Esophageal cancer radical surgery &#x002B; CT &#x002B; IT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">10</td>
<td align="left" valign="top">PDA</td>
<td align="left" valign="top">T3N3M0</td>
<td align="left" valign="top">T3N3aM0</td>
<td align="center" valign="top">N; upgrade</td>
<td align="center" valign="top">LNM</td>
<td align="left" valign="top">Total gastrectomy &#x002B; IT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">11</td>
<td align="left" valign="top">SCC</td>
<td align="left" valign="top">T1aN0M0</td>
<td align="left" valign="top">T1aN0M0</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Esophageal ESD</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">12</td>
<td align="left" valign="top">MDA</td>
<td align="left" valign="top">T3N1M0</td>
<td align="left" valign="top">T3N0M0</td>
<td align="center" valign="top">N; degradation</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Right colectomy &#x002B; CT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">13</td>
<td align="left" valign="top">Gastric GIST</td>
<td align="left" valign="top">TxN0M0</td>
<td align="left" valign="top">TxN0M0</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">14</td>
<td align="left" valign="top">Adenocarcinoma</td>
<td align="left" valign="top">T3N0M0</td>
<td align="left" valign="top">T3N0M0</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Radical operation of sigmoid colon carcinoma</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">15</td>
<td align="left" valign="top">SCC (PD)</td>
<td align="left" valign="top">T2N1M1</td>
<td align="left" valign="top">T2N1M1</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Esophageal cancer radical surgery &#x002B; CT &#x002B; RT &#x002B; IT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">16</td>
<td align="left" valign="top">MC</td>
<td align="left" valign="top">TxN0M0</td>
<td align="left" valign="top">TxN0M1</td>
<td align="center" valign="top">M; upgrade</td>
<td align="center" valign="top">PDM</td>
<td align="left" valign="top">Radical resection of rectal carcinoma &#x002B; CT &#x002B; RT &#x002B; IT</td>
<td align="center" valign="top">Changed (major)</td>
</tr>
<tr>
<td align="left" valign="top">17</td>
<td align="left" valign="top">SCC (MD)</td>
<td align="left" valign="top">T4N1M1</td>
<td align="left" valign="top">T4N1M1</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Esophageal cancer radical surgery &#x002B; CT &#x002B; RT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">18</td>
<td align="left" valign="top">SCC (MD)</td>
<td align="left" valign="top">T3N1M1</td>
<td align="left" valign="top">T3N1M1</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">Esophageal cancer radical surgery &#x002B; CT &#x002B; IT</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">19</td>
<td align="left" valign="top">SCC (MD)</td>
<td align="left" valign="top">T1bN0M1</td>
<td align="left" valign="top">T1bN0M1</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">BM</td>
<td align="left" valign="top">Esophageal cancer radical surgery &#x002B; CT &#x002B; IT</td>
<td align="center" valign="top">Changed (minor)</td>
</tr>
<tr>
<td align="left" valign="top">20</td>
<td align="left" valign="top">PDA</td>
<td align="left" valign="top">T4aN0M0</td>
<td align="left" valign="top">T4aN0M1</td>
<td align="center" valign="top">M; upgrade</td>
<td align="center" valign="top">Recurrence</td>
<td align="left" valign="top">Subtotal gastrectomy &#x002B; total hysterectomy and bilateral adnexectomy &#x002B; CT &#x002B; IT</td>
<td align="center" valign="top">Changed (major)</td>
</tr>
<tr>
<td align="left" valign="top">21</td>
<td align="left" valign="top">MDA, partial MC</td>
<td align="left" valign="top">T3N1M0</td>
<td align="left" valign="top">T3N1M1</td>
<td align="center" valign="top">M; upgrade</td>
<td align="center" valign="top">AM, LM</td>
<td align="left" valign="top">Left hemicolectomy &#x002B; CT</td>
<td align="center" valign="top">Changed (major)</td>
</tr>
<tr>
<td align="left" valign="top">22</td>
<td align="left" valign="top">&#x002A;</td>
<td align="left" valign="top">TxN0M1</td>
<td align="left" valign="top">TxN0M1</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">LM, SM</td>
<td align="left" valign="top">CT &#x002B; IT &#x002B; RT</td>
<td align="center" valign="top">Changed (minor)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn5-ol-32-1-15647"><p>&#x2018;&#x002A;&#x2019; denotes that the pathological subtype was not provided despite a basic pathological diagnosis. Metastasis was confirmed by the comprehensive consideration of imaging findings. If the modification was made to the treatment plan that the clinician had already anticipated, it was recorded as a minor change. If the FAPI PET results led to a change in the type of treatment or the treatment intent, it was classified as a major change. N, lymph node status; M, distant metastasis status; MDA, moderately differentiated adenocarcinoma; MC, mucinous carcinoma; PDA, poorly differentiated adenocarcinoma; SCC, squamous cell carcinoma; MD, moderately differentiated; PD, poorly differentiated; GIST, GI stromal tumor; PM, peritoneal metastasis; LNM, lymph node metastasis; PDM, pancreaticoduodenal metastasis; LM, liver metastasis; RM, renal metastasis; BM, bone metastasis; AM, abdominal wall metastasis; SM, splenic metastasis; CT, chemotherapy; TT, targeted therapy; IT, immunotherapy; RT, radiotherapy; ESD, endoscopic submucosal dissection; <sup>18</sup>F, fluorine 18; FDG, fluorodeoxyglucose; <sup>68</sup>Ga, gallium 68; FAPI, fibroblast-activation protein inhibitor.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tVI-ol-32-1-15647" position="float">
<label>Table VI.</label>
<caption><p>Association of pathological subtypes with changes in tumor staging and treatment decisions indicated by gallium <sup>68</sup>Ga-fibroblast-activation protein inhibitor-04 positron emission tomography imaging.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="left" valign="bottom" colspan="3">Tumor staging</th>
<th align="center" valign="bottom" colspan="3">Treatment decision</th>
</tr>
<tr>
<th/>
<th align="left" valign="bottom" colspan="3"><hr/></th>
<th align="center" valign="bottom" colspan="3"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Pathology</th>
<th align="center" valign="bottom">Stage change, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">No stage change, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">Treatment decision change, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">No treatment decision change, (n/total n) &#x0025;</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Mucinous subtype</td>
<td align="center" valign="top">(2/3) 66.67</td>
<td align="center" valign="top">(1/3) 33.33</td>
<td align="center" valign="top">0.018<sup><xref rid="tfn6-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">(2/3) 66.67</td>
<td align="center" valign="top">(1/3) 33.33</td>
<td align="center" valign="top">0.01<sup><xref rid="tfn6-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Non-mucinous subtype</td>
<td align="center" valign="top">(6/19) 31.58</td>
<td align="center" valign="top">(13/19) 68.42</td>
<td/>
<td align="center" valign="top">(4/19) 21.05</td>
<td align="center" valign="top">(15/19) 78.95</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Poorly differentiated subtype</td>
<td align="center" valign="top">(4/6) 66.67</td>
<td align="center" valign="top">(2/6) 33.33</td>
<td align="center" valign="top">0.005<sup><xref rid="tfn6-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">(2/6) 33.33</td>
<td align="center" valign="top">(4/6) 66.67</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn6-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Non-poorly differentiated subtype</td>
<td align="center" valign="top">(4/16) 25.00</td>
<td align="center" valign="top">(11/16) 68.75</td>
<td/>
<td align="center" valign="top">(4/16) 25.00</td>
<td align="center" valign="top">(12/16) 75.00</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Adenocarcinoma</td>
<td align="center" valign="top">(7/11) 63.64</td>
<td align="center" valign="top">(4/11) 36.36</td>
<td align="center" valign="top">0.004<sup><xref rid="tfn6-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">(3/11) 27.28</td>
<td align="center" valign="top">(8/11) 72.73</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn6-ol-32-1-15647" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Non-adenocarcinoma</td>
<td align="center" valign="top">(1/11) 9.09</td>
<td align="center" valign="top">(10/11) 90.91</td>
<td/>
<td align="center" valign="top">(3/11) 27.28</td>
<td align="center" valign="top">(8/11) 72.73</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn6-ol-32-1-15647"><label>a</label><p>P&#x003C;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
