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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.2018.8884</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-8884</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Performance of Gd-EOB-DTPA-enhanced MRI for the diagnosis of LI-RADS 4 category hepatocellular carcinoma nodules with different diameters</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Tang</surname><given-names>Qi</given-names></name>
<xref rid="af1-ol-0-0-8884" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Ma</surname><given-names>Cong</given-names></name>
<xref rid="af2-ol-0-0-8884" ref-type="aff">2</xref>
<xref rid="c1-ol-0-0-8884" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-8884"><label>1</label>Department of Surgery, The Second XiangYa Hospital of Central South University, Changsha, Hunan 410011, P.R. China</aff>
<aff id="af2-ol-0-0-8884"><label>2</label>Department of Radiology, The Second XiangYa Hospital of Central South University, Changsha, Hunan 410011, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-0-0-8884"><italic>Correspondence to</italic>: Dr Cong Ma, Department of Radiology, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, P.R. China, E-mail: <email>mcismc@126.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>08</month>
<year>2018</year></pub-date>
<pub-date pub-type="epub">
<day>04</day>
<month>06</month>
<year>2018</year></pub-date>
<volume>16</volume>
<issue>2</issue>
<fpage>2725</fpage>
<lpage>2731</lpage>
<history>
<date date-type="received"><day>24</day><month>08</month><year>2017</year></date>
<date date-type="accepted"><day>16</day><month>02</month><year>2018</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2018, Spandidos Publications</copyright-statement>
<copyright-year>2018</copyright-year>
</permissions>
<abstract>
<p>In 2011, the American College of Radiology released a standardized reporting and data collection system, named Liver Imaging Reporting and Data System (LI-RADS), to improve the consistency of diagnostic imaging examinations of hepatocellular carcinoma (HCC). When the LI-RADS guideline was updated in 2014, hepatobiliary contrast agents, including gadoxetate acid (Gd-EOB-DTPA), were incorporated into the system. However, the diagnostic performance of Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) for nodules of different diameters has not been addressed. In the present study, a total of 263 LI-RADS 4 category hepatic nodules were examined blindly and independently by two radiologists. All nodules were divided into two datasets: Set 1 (n=86) that included nodules with iso/hypo-intensity in the arterial phase (HCC, n=42; non-HCC, n=44) and set 2 (n=177) that included nodules with hyper-intensity in the arterial phase (HCC, n=131; non-HCC, n=46). The diagnostic performance of Gd-EOB-DTPA-enhanced MRI for evaluation of nodules with different diameters was evaluated. The present study revealed that the diagnostic performance of Gd-EOB-enhanced MRI of larger nodules (&#x003E;2 cm) was higher compared with (&#x003C;2 cm) smaller nodules. The FPR of large nodules (&#x003E;2 cm) with a hypervascular pattern was lower compared with smaller nodules (&#x003C;2 cm) with hypovascular pattern. In conclusion, Gd-EOB-enhanced MRI is useful for the diagnosis of HCC where hypervascular LI-RADS 4 nodules are &#x003E;2 cm in diameter. However, Gd-EOB-enhanced MRI may be of limited use for the assessment of nodules that &#x003C;20 mm due to low diagnostic performance and high FPR.</p>
</abstract>
<kwd-group>
<kwd>gadoxetic acid</kwd>
<kwd>diagnostic performance</kwd>
<kwd>magnetic resonance imaging</kwd>
<kwd>hepatocellular carcinoma</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is a global health problem, and it is a major cause of mortality in cirrhotic patients (<xref rid="b1-ol-0-0-8884" ref-type="bibr">1</xref>&#x2013;<xref rid="b3-ol-0-0-8884" ref-type="bibr">3</xref>). Patients with liver cirrhosis are strongly recommended to undergo routine liver imaging for surveillance of HCC (<xref rid="b4-ol-0-0-8884" ref-type="bibr">4</xref>). According to current guidelines, HCC can be diagnosed using typical imaging criteria, including hypervascularity in the hepatic arterial phase and washout in a later phase on dynamic contrast-enhanced computed tomography (CT) and/or magnetic resonance imaging (MRI) (<xref rid="b5-ol-0-0-8884" ref-type="bibr">5</xref>&#x2013;<xref rid="b8-ol-0-0-8884" ref-type="bibr">8</xref>). To improve the consistency of imaging diagnosis of HCC, the American College of Radiology has released a standardized reporting and data collection system known as Liver Imaging Reporting and Data System (LI-RADS) in 2011 (<xref rid="b9-ol-0-0-8884" ref-type="bibr">9</xref>). When the guideline was updated in 2014, hepatobiliary contrast agents, including gadoxetate acid (Gd-EOB-DTPA) and gadobenate dimeglumine (Gd-BOPTA) were incorporated into the system (<xref rid="b10-ol-0-0-8884" ref-type="bibr">10</xref>). However, findings in the hepatobiliary phase (HBP) are ancillary features that can be applied to upgrade or downgrade categories using tie-breaking rules (<xref rid="b11-ol-0-0-8884" ref-type="bibr">11</xref>). This can be used up to LI-RADS 4 but not beyond (<xref rid="b12-ol-0-0-8884" ref-type="bibr">12</xref>).</p>
<p>Recently, Chen <italic>et al</italic> (<xref rid="b13-ol-0-0-8884" ref-type="bibr">13</xref>) reported that hypointensity in HBP may be a criterion that can improve the sensitivity of LI-RADS in HCC diagnosis where Gd-EOB-DTPA-enhanced MR with HBP imaging and a modified 2014 version of the LI-RADS were used. Although LI-RADS is essential for the diagnosis of HCC (<xref rid="b14-ol-0-0-8884" ref-type="bibr">14</xref>), the diagnostic performance of Gd-EOB-DTPA-enhanced MRI in nodules of different diameter has not been addressed. The definition of LI-RADS 4 category nodules is probably HCC. The most important factor when diagnosing a focal liver lesion is to differentiate between LI-RAD category 4 and 5 nodules, where LI-RADS category 5 is definitely HCC and LI-RADS category 4 is probably HCC (<xref rid="b15-ol-0-0-8884" ref-type="bibr">15</xref>). Therefore, the present study aims to evaluate the diagnostic performance of Gd-EOB-DTPA dynamic contrast-enhanced MRI of LI-RADS 4 hepatic nodules of various diameters.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Patient selection</title>
<p>This retrospective study was approved by the Institutional Review Board in accordance with the approved guidelines from the Second Xiangya Hospital of Central South University (Hunan, China) and was compliant with Health Insurance Portability and Accountability Act (HIPAA). Written informed consent was obtained from all patients.</p>
<p>A search of the Picture Archiving and Communication Systems (the Second Xiangya Hospital of Central South University) was performed between October 2012 and June 2016. A total of 778 patients with chronic liver cirrhosis who underwent Gd-EOB-DTPA-enhanced MRI for the detection of suspected liver lesions were enrolled. As one of the primary criteria of using LI-RADS is that the patients are of cirrhotic background, only patients with liver cirrhosis were included (<xref rid="b16-ol-0-0-8884" ref-type="bibr">16</xref>). The inclusion criteria were as follows: i) Patients have not received locoregional therapy, including transarterial chemoembolization or radiofrequency ablation (RFA), ii) nodule size was &#x2264;30 mm, iii) and number of nodules was &#x2264;5 on MRI. Each nodule was assigned to a LI-RADS category according to the 2017 version of LI-RADS: LI-RADS 1, definitely benign; LI-RADS 2, probably benign; LI-RADS 3, intermediate probability of HCC; LI-RADS 4, probably HCC, LI-RADS 5, definitely HCC, LI-RADS TIV, definitely tumor in vein and LI-RADS M, probably malignant, not specific for HCC (<xref rid="b17-ol-0-0-8884" ref-type="bibr">17</xref>). Only LI-RADS 4 nodules were included in the present study. After applying the inclusion criteria, the study population comprised 224 patients with 263 nodules. The study population consisted of 138 males and 86 females with an age range of 26&#x2013;81 years and a mean age of 53.3&#x00B1;17.1 years.</p>
</sec>
<sec>
<title>MR imaging technique</title>
<p>MR imaging was performed using a clinical 3.0 Tesla superconducting MR system (MAGNETOM Skyra; Siemens Healthineers, Erlangen, Germany) with an 18-channel body matrix coil and an inbuilt 24-channel spine matrix coil. The comprehensive MRI protocol, including T1-weighted fat saturation gradient recalled echo sequence and T2-weighted half-Fourier acquisition single-shot turbo spin-echo sequence, were obtained prior to the administration of Gd-EOB-DTPA (Bayer Schering Pharma, Berlin, Germany). Dynamic contrast-enhanced MRI was performed using a combination of volume interpolated breath-hold examination (VIBE) with controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA), view-sharing time-resolved imaging with interleaved stochastic trajectories (TWIST), Dixon fat suppression (CAIPIRINHA-Dixon-TWIST-VIBE and CDT-VIBE) in the unenhanced phase, arterial phase, portovenous phase (90 secs), transitional phase (180 secs) and HBP (20 min). In order to ensure that the same contrast-enhanced phase is attained in each patient, a MR automated injector pump was used to administer Gd-EOB-DTPA through an 18-gauge cubital intravenous access at a dose of 0.1 ml/kg body weight and an injection rate of 1 ml/sec. The MR parameters are listed in <xref rid="tI-ol-0-0-8884" ref-type="table">Table I</xref>.</p>
</sec>
<sec>
<title>Imaging analysis</title>
<p>A total of two radiologists with 20-years and 12-years liver imaging experience randomly and independently reviewed all images. Both radiologists were blinded to the LI-RADS category and the final diagnosis of each nodule. The major criteria of LI-RADS, including arterial phase enhancement patterns, nodule diameter, presence or absence of washout in the portal venous phase, presence or absence of capsule and threshold growth, were evaluated. Due to early liver parenchymal enhancement following the administration of Gd-EOB-DTPA, only portal venous phase hypo-intensity and not transitional phase hypo-intensity was considered as a washout appearance. Ancillary features that favored malignancy, including transitional phase hypo-intensity, mild-moderate T2 hyper-intensity, restricted diffusion, mosaic architecture, nodule-in-nodule architecture, corona enhancement and intralesional fat were also reviewed. The images were reviewed independently, and the diagnosis of each nodule was made in consensus between the two radiologists.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using software SPSS (version 20.0; IBM Corp., Armonk, NY, USA). A Cohen&#x0027;s kappa test was performed to evaluate the inter-reader agreement of LI-RADS major criteria, including arterial phase enhancement patterns, presence or absence of washout in the portal venous phase, presence or absence of capsule and HBP enhancement patterns. Intraclass correlation coefficient (ICC) was performed to evaluate the inter-reader agreement of nodules diameter measurement. Agreement was classified as poor (K, 0&#x2013;0.40), fair to good (K, 0.40&#x2013;0.75) or excellent (K, &#x003E;0.75). According to the results by the two radiologists, nodules diagnosed as probably or definitely HCC were positive results, and probably or definitely not HCC nodules were negative results. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for the diagnosis of HCC nodules of different diameters using LI-RADS 4 were calculated and expressed with 95&#x0025; confidence intervals (CI). The false positive rate (FPR) was also calculated.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Patient characteristics</title>
<p>The study population consisted of 138 males and 86 females, with an age range of 26&#x2013;81 years and a mean age of 53.3&#x00B1;17.1 years. Of the 263 nodules, the diameter of the 173 HCC nodules was 22.4&#x00B1;7.1 mm. The diameter of the 26 non-HCC malignant nodules was 16.6&#x00B1;6.5 mm, and the diameter of the remaining 64 benign nodules was 12.7&#x00B1;4.3 mm. The HCC nodules were significantly larger compared with the non-HCC malignant nodules (P&#x003C;0.05) and benign nodules (P&#x003C;0.05). The 2017 version of LI-RADS categorizes nodules primarily based on the arterial phase enhancement patterns (<xref rid="b17-ol-0-0-8884" ref-type="bibr">17</xref>). In accordance with LI-RADS, the data on 263 nodules were divided into two datasets: Set 1 (n=86) that contain nodules with iso/hypo-intensity at the arterial phase (HCC, n=42; non-HCC, n=44) and set 2 (n=177) that contain nodules with hyper-intensity at the arterial phase (HCC, n=131; non-HCC, n=46). The typical imaging appearance of sets 1 and 2 are indicated in <xref rid="f1-ol-0-0-8884" ref-type="fig">Figs. 1</xref> and <xref rid="f2-ol-0-0-8884" ref-type="fig">2</xref>, respectively. Of the 86 nodules in set 1, 37 nodules were &#x003C;20 mm in diameter (set 1A), and 49 nodules were 20&#x2013;30 mm in diameter (set 1B). Of the 177 nodules in set 2, 68 nodules were &#x003C;10 mm in diameter (set 2A) and 73 nodules were 10&#x2013;19 mm in diameter (set 2B). A further 36 nodules were 20&#x2013;30 mm in diameter (set 2C). The detailed information is listed in <xref rid="tII-ol-0-0-8884" ref-type="table">Table II</xref>.</p>
</sec>
<sec>
<title>Inter-reader agreement between two reviewers</title>
<p>Cohen&#x0027;s Kappa test and the ICC indicated that inter-reader agreement of the LI-RADS major criteria and HBP imaging ranged from fair to good to excellent. Specifically, the measurements for nodule diameter exhibited excellent agreement between LI-RADS and HBP imaging with an ICC value of 0.951. Other characteristics, including HBP enhancement patterns, arterial phase enhancement patterns and presence or absence of washout, exhibited excellent inter-reader agreement with K values of 0.937, 0.814 and 0.762, respectively. Finally, the presence or absence of capsule exhibited fair to good agreement with a K value of 0.681.</p>
</sec>
<sec>
<title>Final diagnosis of the nodules</title>
<p>Each of the 263 nodules in 224 patients was conclusively diagnosed as HCC (173 nodules in 146 patients) or non-HCC (90 nodules in 78 patients). The 90 non-HCC nodules were further diagnosed as follows: High-grade dysplastic nodules (HGDN), 22 nodules in 22 patients; low-grade dysplastic nodules (LGDN), 16 nodules in 16 patients; regenerative nodules, 14 nodules in 13 patients; liver metastasis, 14 nodules in 9 patients; atypical hemangioma, 7 nodules in 6 patients; atypical intrahepatic cholangiocarcinoma, 10 nodules in 7 patients; combined cholangiocarcinoma/HCC (cHCC-CCCs), 2 nodules in 2 patients and hepatocellular adenoma, 5 nodules in 3 patients. The final diagnosis of the nodules was made based on histologic proof (surgical resection, n=23; biopsy, n=161), follow-up &#x003E;12 months (n=9) or tumor recurrence/metastasis following treatment (n=70). Of the 173 HCC nodules, 108 nodules were confirmed by histologic proof (surgical resection, n=13; biopsy, n=95), while 65 nodules appeared during tumor recurrence following treatment. Of the 90 non-HCC nodules, 76 nodules were confirmed by histologic proof (surgical resection, n=10; biopsy, n=66), 9 nodules were of a stable size during follow-up, and 5 nodules appeared during tumor recurrence/metastasis following treatment. A flowchart of the study population is shown in <xref rid="f3-ol-0-0-8884" ref-type="fig">Fig. 3</xref>.</p>
</sec>
<sec>
<title>Diagnostic performance in each subgroup</title>
<p>Based on the final diagnosis of all 263 nodules, the diagnosis of 123 nodules were true positive (TP), 40 nodules were false positive (FP) and 50 nodules were false negative (FN) results. The remaining 50 nodules were true negative (TN) results. The detailed results are listed in <xref rid="tIII-ol-0-0-8884" ref-type="table">Table III</xref>.</p>
<p>For the diagnosis of HCC, the sensitivity, specificity, PPV and NPV of Gd-EOB-DTPA-enhanced MR for the entire study population were 71.1&#x0025; (95&#x0025; CI, 63.6&#x2013;77.6), 55.6&#x0025; (95&#x0025; CI, 44.7&#x2013;65.9), 75.5&#x0025; (95&#x0025; CI, 68.0&#x2013;81.7) and 50&#x0025; (95&#x0025; CI, 39.9&#x2013;60.1), respectively. For set 1B, the sensitivity, specificity, PPV and NPV were 74.1&#x0025; (20/27), 59.1&#x0025; (13/22), 69.0&#x0025; (20/29) and 65.0&#x0025; (13/20), respectively. For set 2C, the sensitivity, specificity, PPV and NPV were 92.8&#x0025; (26/28), 87.5&#x0025; (7/8), 96.3&#x0025; (26/27) and 77.8&#x0025; (7/9), respectively. When the diagnostic performance of set 1 and set 2 was compared, set 2 exhibited relatively higher sensitivity, specificity, PPV, and NPV compared with set 1 in each subgroup. The diagnostic performance of Gd-EOB-DTPA-enhanced MR of nodules with different diameters in set 1 and set 2 are summarized in <xref rid="tIV-ol-0-0-8884" ref-type="table">Table IV</xref>. For FPR, the nodules in set 2C exhibited the lowest FPR within all subgroups (12.5&#x0025;, 1/8). A MRI image of a false positive result is indicated in <xref rid="f4-ol-0-0-8884" ref-type="fig">Fig. 4</xref>.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Small hepatic lesions can be more challenging to characterize. Several studies have shown that small intrahepatic cholangiocarcinoma, hemangioma, and metastases may mimic the enhancement characteristics of HCC (<xref rid="b18-ol-0-0-8884" ref-type="bibr">18</xref>&#x2013;<xref rid="b20-ol-0-0-8884" ref-type="bibr">20</xref>). Unlike the LI-RADS 5 category, which has a low cut-off value for diameter (1 cm), LI-RADS 4 applies the same high probability of HCC for lesions of varying sizes, including those with a diameter of &#x003C;1 cm. It is unclear if the malignancy rate and predictive ability of LI-RADS 4 should apply to small (&#x003C;2 cm) and large lesions (&#x003E;2 cm) or whether specific features such as a combination of HBP hypointensity and arterial phase hyper-enhancement may provide a means for improving specificity.</p>
<p>The results indicated that, Gd-EOB-DTPA-enhanced MR provides higher diagnostic performance for nodules of a larger size (&#x003E;2 cm) than a smaller size (&#x003C;2 cm). In a previous study on the diagnosis of HCC, Chen <italic>et al</italic> (<xref rid="b13-ol-0-0-8884" ref-type="bibr">13</xref>) showed that HBP hypointensity was a major criterion of LI-RADS that could provide sensitivity, specificity, PPV, and NPV of 95, 96, 99 and 87&#x0025;, respectively. The results in the present study differ from the findings of Chen <italic>et al</italic> (<xref rid="b13-ol-0-0-8884" ref-type="bibr">13</xref>). In the present study, the diagnostic performance is as high as the values reported in Chen <italic>et al</italic> (<xref rid="b13-ol-0-0-8884" ref-type="bibr">13</xref>) but only for nodules with a diameter of 20&#x2013;30 mm with sensitivity, specificity, PPV, and NPV of 92.8, 87.5, 96.3 and 77.8&#x0025;, respectively. Differences in the inclusion criteria used in the two studies may account for this discrepancy. The study by Chen <italic>et al</italic> (<xref rid="b13-ol-0-0-8884" ref-type="bibr">13</xref>) included LI-RADS 1&#x2013;5 category nodules, while only the LI-RADS 4 category nodules are included in the present study, which may affect sensitivity and specificity calculation. Notably, a previous study conducted by Darnell <italic>et al</italic> (<xref rid="b21-ol-0-0-8884" ref-type="bibr">21</xref>) revealed that in cirrhosis patients for the diagnosis of HCC, the MRI findings of LI-RADS 4 and 5 category nodules have a sensitivity of 65.4&#x0025; and specificity of 98.2&#x0025;. However, the sensitivity value in the present study is higher than the value reported by Darnell <italic>et al</italic> (<xref rid="b21-ol-0-0-8884" ref-type="bibr">21</xref>) (92.8&#x0025; vs. 65.4&#x0025;). Conversely, the specificity is lower in the present study (87.5&#x0025; vs. 98.2&#x0025;), which may be due to the different contrast agents used in the two studies (Gd-EOB-DTPA vs. gadodiamide.</p>
<p>We analyzed FPR to determine which types of nodules were more easily misdiagnosed as HCC. It was detected that nodules with a diameter of 20&#x2013;30 mm with a hypervascular pattern exhibited the lowest FPR (12.5&#x0025;, 1/8). However for nodules with a diameter of &#x003C;10 mm, the FPR was as high as 63.6&#x0025; (14/22). Although it has been reported that Gd-EOB-DTPA-enhanced MRI is able to detect hypovascular lesions (<xref rid="b22-ol-0-0-8884" ref-type="bibr">22</xref>&#x2013;<xref rid="b24-ol-0-0-8884" ref-type="bibr">24</xref>), nodules with arterial phase enhancement remains a primary element for HCC. One of the main false positive results for hypovascular nodules is dysplastic nodule. A high HGDN, in its initial phase of carcinogenesis, can present as hypo-intensity in the arterial phase with gradual enhancement in portal venous phase due to the presence of portal perfusion (<xref rid="b25-ol-0-0-8884" ref-type="bibr">25</xref>). With the increase of intra-nodular arterial vascularity, the enhancement pattern for HGDN tends to be hypervascularity (<xref rid="b26-ol-0-0-8884" ref-type="bibr">26</xref>). This is the main reason that HGDN mimicked HCC in the present study. The other main false positive result is intrahepatic cholangiocarcinoma. It has been reported that the most frequent enhancement pattern for intrahepatic cholangiocarcinoma in normal liver is a thin peripheral rim with internal heterogeneous enhancement during the dynamic phase (<xref rid="b27-ol-0-0-8884" ref-type="bibr">27</xref>). However, intrahepatic cholangiocarcinoma in patients with or without liver cirrhosis may differ in enhancement pattern (<xref rid="b28-ol-0-0-8884" ref-type="bibr">28</xref>). In patients with liver cirrhosis, intrahepatic cholangiocarcinoma is often characterized as a stable enhancement pattern, particularly for nodules &#x003C;20 mm in diameter (<xref rid="b29-ol-0-0-8884" ref-type="bibr">29</xref>,<xref rid="b30-ol-0-0-8884" ref-type="bibr">30</xref>). In the present study, the majority of intrahepatic cholangiocarcinoma cases present a similar enhancement pattern to the previous studies (<xref rid="b31-ol-0-0-8884" ref-type="bibr">31</xref>). Hemangioma is another notable false positive result. The typical enhancement pattern for hemangioma is delayed phase enhancement on extracellular contrast agent based-enhanced imaging (<xref rid="b32-ol-0-0-8884" ref-type="bibr">32</xref>). However, previous studies report that a &#x2018;pseudo washout&#x2019; sign can be observed in hemangioma during the transitional phase using Gd-EOB-DTPA as the contrast agent, probably owing to the excellent liver to lesion contrast when compared to extracellular contrast agent (<xref rid="b33-ol-0-0-8884" ref-type="bibr">33</xref>,<xref rid="b34-ol-0-0-8884" ref-type="bibr">34</xref>). In the present study, &#x2018;pseudo washout&#x2019; sign is also observed in some cases. This false appearance may lead to the misdiagnosis of HCC. In order to avoid misdiagnosis, only hypo-intensity in the portal venous phase was considered as a &#x2018;washout&#x2019;.</p>
<p>There are several limitations in the present study. Firstly, as the study was performed retrospectively, there may have been selection bias in the study population. In addition, the study sample was relatively small, which may lead to statistical error. Secondly, the histological proof for HCC diagnosis was not obtained for the entire study population, particularly for benign nodules, including hemangioma and adenoma, which were diagnosed by clinical observation and imaging features (<xref rid="b35-ol-0-0-8884" ref-type="bibr">35</xref>). Clinical diagnostic references, including tumor recurrence following treatment, may not be adequate for HCC diagnosis. Therefore, a prospective study with a large sample size and histologic proof for all nodules should be performed in the future. In addition, the imaging features of nodules with different diameters were not evaluated. Further studies may focus on this issue. Finally, receiver operating characteristic curves were not used to evaluate the diagnostic performance of Gd-EOB-DTPA-enhanced MRI for LI-RADS 4 category nodules, as this method is often used for continuous variables (<xref rid="b36-ol-0-0-8884" ref-type="bibr">36</xref>).</p>
<p>In conclusion, Gd-EOB-DTPA-enhanced MRI is useful for the diagnosis of HCC LI-RADS 4 category nodules. However, the diagnostic performance of Gd-EOB-DTPA-enhanced MRI for LI-RADS 4 category nodules of different diameters is variable. For hypervascular LI-RADS 4 category nodules with diameter &#x003E;20 mm, Gd-EOB-DTPA-enhanced MRI is useful for the diagnosis of HCC. However, for hypovascular LI-RADS 4 category nodules with diameter &#x003C;20 mm, Gd-EOB-DTPA-enhanced MRI may be of limited use due to low diagnostic performance and high FPR.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>No funding was received.</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>QT and CM analyzed and interpreted the patient data. CM was a major contributor in writing the manuscript, and agreed to be accountable for all aspects of the work ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>This retrospective study was approved by the Institutional Review Board in accordance with the approved guidelines from The Second XiangYa Hospital of Central South University (Hunan, China) and was compliant with Health Insurance Portability and Accountability Act (HIPAA).</p>
</sec>
<sec>
<title>Consent for publication</title>
<p>Written informed consent was obtained from all patients.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>MR</term><def><p>magnetic resonance</p></def></def-item>
<def-item><term>LI-RADS</term><def><p>Liver Imaging Reporting and Data System</p></def></def-item>
<def-item><term>HCC</term><def><p>hepatocellular carcinoma</p></def></def-item>
<def-item><term>PPV</term><def><p>positive predictive value</p></def></def-item>
<def-item><term>NPV</term><def><p>negative predictive value</p></def></def-item>
<def-item><term>FPR</term><def><p>false positive rate</p></def></def-item>
<def-item><term>CT</term><def><p>computed tomography</p></def></def-item>
<def-item><term>Gd-EOB-DTPA</term><def><p>gadoxetate acid</p></def></def-item>
<def-item><term>HBP</term><def><p>hepatobiliary phase</p></def></def-item>
<def-item><term>RFA</term><def><p>radiofrequency ablation</p></def></def-item>
<def-item><term>ICC</term><def><p>intraclass correlation coefficient</p></def></def-item>
<def-item><term>HGDN</term><def><p>high-grade dysplastic nodules</p></def></def-item>
<def-item><term>LGDN</term><def><p>low-grade dysplastic nodules</p></def></def-item>
<def-item><term>cHCC-CCCs</term><def><p>combined cholangiocarcinoma and hepatocellular carcinoma</p></def></def-item>
<def-item><term>TP</term><def><p>true positive</p></def></def-item>
<def-item><term>FP</term><def><p>false positive</p></def></def-item>
<def-item><term>FN</term><def><p>false negative</p></def></def-item>
<def-item><term>TN</term><def><p>true negative</p></def></def-item>
</def-list>
</glossary>
<ref-list>
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</back>
<floats-group>
<fig id="f1-ol-0-0-8884" position="float">
<label>Figure 1.</label>
<caption><p>Gadoxetate acid-enhanced magnetic resonance images in a 50 year-old man with hepatitis B-induced liver cirrhosis. (A) Pre-contrast magnetic resonance images indicated a 16-mm nodule (arrow) in the right lobe of the liver. (B) The nodule was indicated to be hypo-intense in the hepatic arterial phase; (C) to have a washout appearance with the absence of a capsule in the portal venous phase; (D) hypo-intense in the hepatobiliary phase. The nodule was categorized according to Liver Imaging Reporting and Data System 4 with ancillary findings of (E) mild-moderate T2 hyper-intensity and (F) restricted diffusion.</p></caption>
<graphic xlink:href="ol-16-02-2725-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-8884" position="float">
<label>Figure 2.</label>
<caption><p>Gadoxetate acid-enhanced magnetic resonance images in a 43 year-old man with hepatocellular carcinoma recurrence following surgical resection. (A) Pre-contrast magnetic resonance images indicated a 12-mm nodule (arrow) in the right lobe of the liver. The nodule was indicated to be (B) hyper-intense in the hepatic arterial phase, (C) iso-intense and with the absence of capsule in the portal venous phase and (D) hypo-intense in the hepatobiliary phase. The nodule was categorized according to Liver Imaging Reporting and Data System 4 with ancillary findings of (E) mild-moderate T2 hyper-intensity and (F) restricted diffusion.</p></caption>
<graphic xlink:href="ol-16-02-2725-g01.tif"/>
</fig>
<fig id="f3-ol-0-0-8884" position="float">
<label>Figure 3.</label>
<caption><p>Diagram illustrating patient selection in the present study. Gd-EOB-DTPA, gadoxetate acid; HCC, hepatocellular carcinoma; MR, magnetic resonance; LI-RADS, liver imaging reporting and data system; TIV, tumor in vein.</p></caption>
<graphic xlink:href="ol-16-02-2725-g02.tif"/>
</fig>
<fig id="f4-ol-0-0-8884" position="float">
<label>Figure 4.</label>
<caption><p>False positive result in a 40 year-old man with chronic hepatitis B. The final diagnosis of this nodule was intrahepatic cholangiocarcinoma. (A) Pre-contrast magnetic resonance images indicated a 8-mm nodule (arrow) in the right lobe of the liver. (B) The nodule was indicated to be hyper-intense in the hepatic arterial phase, (C) hyper-intense with the absence of capsule in the portal venous phase, and (D) hypo-intense in the hepatobiliary phase. The nodule was categorized according to Liver Imaging Reporting and Data System 4 with ancillary findings of mild-moderate (E) T2 hyper-intensity and (F) restricted diffusion.</p></caption>
<graphic xlink:href="ol-16-02-2725-g03.tif"/>
</fig>
<table-wrap id="tI-ol-0-0-8884" position="float">
<label>Table I.</label>
<caption><p>Magnetic resonance sequence parameters.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Parameters</th>
<th align="center" valign="bottom">CDT-VIBE</th>
<th align="center" valign="bottom">T2 HASTE</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">TR/TE, msec</td>
<td align="center" valign="top">3.8/1.2</td>
<td align="center" valign="top">2,000/80</td>
</tr>
<tr>
<td align="left" valign="top">Subphases</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
</tr>
<tr>
<td align="left" valign="top">Sequence type</td>
<td align="center" valign="top">TWIST-VIBE</td>
<td align="center" valign="top">HASTE</td>
</tr>
<tr>
<td align="left" valign="top">Voxel size, mm<sup>3</sup></td>
<td align="center" valign="top">1.3&#x00D7;1.3&#x00D7;3.0</td>
<td align="center" valign="top">1.3&#x00D7;1.3&#x00D7;3.0</td>
</tr>
<tr>
<td align="left" valign="top">FOV, mm</td>
<td align="center" valign="top">380</td>
<td align="center" valign="top">380</td>
</tr>
<tr>
<td align="left" valign="top">Slice number</td>
<td align="center" valign="top">&#x00A0;&#x00A0;72</td>
<td align="center" valign="top">&#x00A0;&#x00A0;72</td>
</tr>
<tr>
<td align="left" valign="top">Flip angle, degree</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">180</td>
</tr>
<tr>
<td align="left" valign="top">Respiratory control</td>
<td align="center" valign="top">Breath hold</td>
<td align="center" valign="top">Triggered</td>
</tr>
<tr>
<td align="left" valign="top">Fat suppression</td>
<td align="center" valign="top">Dixon</td>
<td align="center" valign="top">Spectral saturation</td>
</tr>
<tr>
<td align="left" valign="top">Temporal resolution, s</td>
<td align="center" valign="top">2.6</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">TWIST size of k-center, &#x0025;</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">TWIST size of k-periphery, &#x0025;</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Breath-holding time, sec</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">10&#x2013;15</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-8884"><p>FOV, field of view; HASTE, half-Fourier acquisition single-shot turbo spin-echo; TR, time of repletion; TE, time of echo; VIBE, volume-interpolated breath-hold examination.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-0-0-8884" position="float">
<label>Table II.</label>
<caption><p>Clinical characteristics of 263 nodules.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">Total (n=263)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Diameter of nodules, mm</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;HCC</td>
<td align="center" valign="top">22.4&#x00B1;7.1</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Non-HCC malignancy</td>
<td align="center" valign="top">16.6&#x00B1;6.5</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Benign</td>
<td align="center" valign="top">12.7&#x00B1;4.3</td>
</tr>
<tr>
<td align="left" valign="top">Number of nodules, HCC/non-HCC</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Set 1</td>
<td align="center" valign="top">42/44</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Set 1A</td>
<td align="center" valign="top">15/22</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Set 1B</td>
<td align="center" valign="top">27/22</td>
</tr>
<tr>
<td align="left" valign="top">Set 2</td>
<td align="center" valign="top">131/46</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Set 2A</td>
<td align="center" valign="top">50/18</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Set 2B</td>
<td align="center" valign="top">53/20</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Set 2C</td>
<td align="center" valign="top">28/8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-0-0-8884"><p>Set 1A, hypovascular nodules with a diameter of &#x003C;20 mm; Set 1B, hypovascular nodules with a diameter of 20&#x2013;30 mm; Set 2A, hypervascular nodules with a diameter of &#x003C;10 mm; Set 2B, hypervascular nodules with a diameter of 10&#x2013;19 mm; Set 2C, hypervascular nodules with a diameter of 20&#x2013;30 mm. HCC, hepatocellular carcinoma.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-ol-0-0-8884" position="float">
<label>Table III.</label>
<caption><p>Results of nodules according to the final diagnosis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Groups</th>
<th align="center" valign="bottom">TP</th>
<th align="center" valign="bottom">FP</th>
<th align="center" valign="bottom">FN</th>
<th align="center" valign="bottom">TN</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Set 1A, n</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
</tr>
<tr>
<td align="left" valign="top">Set 1B, n</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">13</td>
</tr>
<tr>
<td align="left" valign="top">Set 2A, n</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
</tr>
<tr>
<td align="left" valign="top">Set 2B, n</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">13</td>
</tr>
<tr>
<td align="left" valign="top">Set 2C, n</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
</tr>
<tr>
<td align="left" valign="top">Entire population, n</td>
<td align="center" valign="top">123</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">50</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-ol-0-0-8884"><p>Set 1A, hypovascular nodule with a diameter &#x003C;20 mm; Set 1B, hypovascular nodule with a diameter of 20&#x2013;30 mm; Set 2A is hypervascular nodule with a diameter &#x003C;10 mm; Set 2B, hypervascular nodule with a diameter of 10&#x2013;19 mm; Set 2C, hypervascular nodule with a diameter of 20&#x2013;30 mm; TP, true positive; FP, false positive; FN, false negative; TN, true negative.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-ol-0-0-8884" position="float">
<label>Table IV.</label>
<caption><p>Diagnostic performance of Gd-EOB-DTPA-enhanced MR for LI-RADS 4 nodules.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom">Set 1, &#x0025; (95&#x0025; CI)</th>
<th align="center" valign="bottom">Set 1B, &#x0025;</th>
<th align="center" valign="bottom">Set 2A, &#x0025;</th>
<th align="center" valign="bottom">Set 2B, &#x0025;</th>
<th align="center" valign="bottom">Set 2C, &#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Sensitivity</td>
<td align="center" valign="top">60.0 (32.9&#x2013;82.5)</td>
<td align="center" valign="top">74.1 (53.4&#x2013;88.1)</td>
<td align="center" valign="top">62.0 (47.2&#x2013;75.0)</td>
<td align="center" valign="top">69.8 (55.5&#x2013;81.3)</td>
<td align="center" valign="top">92.8 (75.0&#x2013;98.7)</td>
</tr>
<tr>
<td align="left" valign="top">Specificity</td>
<td align="center" valign="top">36.4 (18.0&#x2013;59.1)</td>
<td align="center" valign="top">59.1 (36.7&#x2013;78.5)</td>
<td align="center" valign="top">50.0 (26.8&#x2013;73.2)</td>
<td align="center" valign="top">65.0 (40.9&#x2013;83.7)</td>
<td align="center" valign="top">87.5 (46.7&#x2013;99.3)</td>
</tr>
<tr>
<td align="left" valign="top">PPV</td>
<td align="center" valign="top">39.1 (20.5&#x2013;61.2)</td>
<td align="center" valign="top">69.0 (49.0&#x2013;84.0)</td>
<td align="center" valign="top">77.5 (66.1&#x2013;88.6)</td>
<td align="center" valign="top">84.1 (69.3&#x2013;92.8)</td>
<td align="center" valign="top">96.3 (79.1&#x2013;99.8)</td>
</tr>
<tr>
<td align="left" valign="top">NPV</td>
<td align="center" valign="top">57.1 (29.6&#x2013;81.2)</td>
<td align="center" valign="top">65.0 (40.9&#x2013;83.7)</td>
<td align="center" valign="top">32.1 (16.6&#x2013;52.4)</td>
<td align="center" valign="top">44.8 (26.9&#x2013;64.0)</td>
<td align="center" valign="top">77.8 (40.2&#x2013;96.0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn4-ol-0-0-8884"><p>Set 1A, hypovascular nodule with a diameter of &#x003C;20 mm; Set 1B, hypovascular nodule with a diameter of 20&#x2013;30 mm; Set 2A, hypervascular nodule with a diameter of &#x003C;10 mm; Set 2B, hypervascular nodule with a diameter of 10&#x2013;19 mm; Set 2C, hypervascular nodule with a diameter of 20&#x2013;30 mm. CI, confidence interval; PPV, positive predict value; NPV, negative predict value.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
