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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">MCO</journal-id>
<journal-title-group>
<journal-title>Molecular and Clinical Oncology</journal-title>
</journal-title-group>
<issn pub-type="ppub">2049-9450</issn>
<issn pub-type="epub">2049-9469</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">MCO-18-6-02641</article-id>
<article-id pub-id-type="doi">10.3892/mco.2023.2641</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Measurements of target volumes and organs at risk using DW‑MRI in patients with central lung cancer accompanied with atelectasis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Xinli</given-names></name>
<xref rid="af1-MCO-18-6-02641" ref-type="aff">1</xref>
<xref rid="af2-MCO-18-6-02641" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Tong</given-names></name>
<xref rid="af3-MCO-18-6-02641" ref-type="aff">3</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Hong</given-names></name>
<xref rid="af1-MCO-18-6-02641" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname><given-names>Mingbin</given-names></name>
<xref rid="af3-MCO-18-6-02641" ref-type="aff">3</xref>
<xref rid="c1-MCO-18-6-02641" ref-type="corresp"/>
</contrib>
</contrib-group>
<aff id="af1-MCO-18-6-02641"><label>1</label>Department of Medical Oncology, The Affiliated Tai&#x0027;an City Central Hospital of Qingdao University, Tai&#x0027;an, Shandong 271000, P.R. China</aff>
<aff id="af2-MCO-18-6-02641"><label>2</label>Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, Shandong 250117, P.R. China</aff>
<aff id="af3-MCO-18-6-02641"><label>3</label>Department of Stomatology, The Affiliated Tai&#x0027;an City Central Hospital of Qingdao University, Tai&#x0027;an, Shandong 271000, P.R. China</aff>
<author-notes>
<corresp id="c1-MCO-18-6-02641"><italic>Correspondence to:</italic> Dr Mingbin Zhang, Department of Stomatology, The Affiliated Tai&#x0027;an City Central Hospital of Qingdao University, 29 Longtan Road, Tai&#x0027;an, Shandong 271000, P.R. China <email>xuefushan@aliyun.com zhangmingbin1995@163.com </email></corresp>
</author-notes>
<pub-date pub-type="collection">
<month>06</month>
<year>2023</year></pub-date>
<pub-date pub-type="epub">
<day>13</day>
<month>04</month>
<year>2023</year></pub-date>
<volume>18</volume>
<issue>6</issue>
<elocation-id>45</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Zhang et al.</copyright-statement>
<copyright-year>2020</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>Accurate imaging-based tumor delineation is crucial for guiding the radiotherapy treatments of various solid tumors. Currently, several imaging procedures, including diffusion-weighted magnetic resonance imaging (DW-MRI), intensified computed tomography and positron emission tomography are routinely used for targeted tumor delineation. However, the performance of these imaging procedures has not yet been comprehensively evaluated. In order to address this matter, the present study was conducted in an aim to assess the use of DW-MRI in guiding radiotherapy treatments, by comparing its performance to that of other imaging procedures. Specifically, the exposure dosages to organs at risk, including the lungs, heart and spinal mencord, were evaluated using various radiotherapy regimes. The findings of the present study demonstrated that DW-MRI is a non-invasive and cost-effective imaging procedure that can be used to reduce lung exposure doses, minimizing the risk of radiation pneumonitis. The data further demonstrate the immense potential of the DW-MRI procedure in the precision radiotherapy of lung cancers.</p>
</abstract>
<kwd-group>
<kwd>diffusion-weighted magnetic resonance imaging</kwd>
<kwd>central lung cancer</kwd>
<kwd>atelectasis</kwd>
<kwd>radiotherapy</kwd>
<kwd>organs at risk</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> The present study was supported by the National Natural Science Foundation of China (NSFC; grant nos. 81272699, 81301936 and 81472811), the Shandong Science and Technology Development Project (grant no. 2014GGC03038) and the International Cooperation Project of Science and Technology Department (grant no. 2012DFA31560).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>The morbidity and mortality rates associated with lung cancer have been increasing annually and lung cancer has become one of the most severe threats to human life and health (<xref rid="b1-MCO-18-6-02641" ref-type="bibr">1</xref>). Due to the lack of early diagnostic tools and the absence of disease symptoms in the early stages of the disease, the majority of patients are diagnosed at an advanced stage (<xref rid="b2-MCO-18-6-02641" ref-type="bibr">2</xref>,<xref rid="b3-MCO-18-6-02641" ref-type="bibr">3</xref>). Central lung cancer refers to tumors that originate in the central part of the lung, including the main bronchus and adjacent structures, and is particularly challenging to treat. Radiotherapy is a standard of care and a curative treatment option for patients with lung cancer. To improve treatment outcomes, dose escalation is routinely used; however, it is frequently associated with the incidence of radiation pneumonitis, a dose-volume-dependent side-effect that is associated with the mean lung dose and the volume of the lung receiving a dose of at least 20 Gy (V<sub>20</sub>) (<xref rid="b4-MCO-18-6-02641" ref-type="bibr">4</xref>,<xref rid="b5-MCO-18-6-02641" ref-type="bibr">5</xref>). In order to address these challenges, it is crucial to carefully evaluate the risks and benefits of radiotherapy for central lung cancer. By optimizing treatment planning and using appropriate dose constraints, clinicians are able to minimize the risk of radiation pneumonitis and improve disease outcomes for patients with lung cancer.</p>
<p>Precision radiotherapy has become a routine standard of care with the purpose of improving patient outcomes, while mitigating the risk of overdose to target and adjacent organs. The accurate delineation of the gross target volume (GTV) is a crucial step in guiding precision radiotherapy. Several non-invasive imaging procedures have been routinely used for delineating the target volumes of lung cancer (<xref rid="b6-MCO-18-6-02641" ref-type="bibr">6</xref>,<xref rid="b7-MCO-18-6-02641" ref-type="bibr">7</xref>), including intensified computed tomography (CT), positron emission tomography (PET) and diffusion-weighted magnetic resonance imaging (DW-MRI) (<xref rid="b8-MCO-18-6-02641" ref-type="bibr">8</xref>).</p>
<p>However, the CT and PET procedures have inherent limitations. The lack of contrast between soft tissues on CT images can obscure the precision of the radiotherapy by making the distinction of the target area from the normal tissue challenging (<xref rid="b9-MCO-18-6-02641" ref-type="bibr">9</xref>,<xref rid="b10-MCO-18-6-02641" ref-type="bibr">10</xref>), particularly for central lung cancer with pulmonary atelectasis or mediastinal nodes metastasis (<xref rid="b11-MCO-18-6-02641" ref-type="bibr">11</xref>). Although PET has been demonstrated to be more suitable than CT in diagnosing the nodal involvement of lung cancer (<xref rid="b7-MCO-18-6-02641" ref-type="bibr">7</xref>,<xref rid="b12-MCO-18-6-02641" ref-type="bibr">12</xref>,<xref rid="b13-MCO-18-6-02641" ref-type="bibr">13</xref>), it has been reported to produce an increased rate of false-positive results (<xref rid="b14-MCO-18-6-02641" ref-type="bibr">14</xref>). The combination of PET/CT can improve sensitivity and accuracy (<xref rid="b7-MCO-18-6-02641" ref-type="bibr">7</xref>,<xref rid="b15-MCO-18-6-02641" ref-type="bibr">15</xref>,<xref rid="b16-MCO-18-6-02641" ref-type="bibr">16</xref>); however, the previously mentioned challenges remain, including low image resolution and the requirement of PET and CT image fusion (<xref rid="b17-MCO-18-6-02641" ref-type="bibr">17</xref>,<xref rid="b18-MCO-18-6-02641" ref-type="bibr">18</xref>).</p>
<p>DW-MRI is another widely used imaging procedure that provides information concerning the Brownian movement of the water molecules in tissues (<xref rid="b19-MCO-18-6-02641 b20-MCO-18-6-02641 b21-MCO-18-6-02641" ref-type="bibr">19-21</xref>). This method can reflect the cellular composition of the tumor and the integrity of the tumor cell membrane (<xref rid="b22-MCO-18-6-02641" ref-type="bibr">22</xref>,<xref rid="b23-MCO-18-6-02641" ref-type="bibr">23</xref>). The differential diffusion of water molecules in tumor tissues enables DW-MRI to detect malignant tumors and differentiate them from benign tissues (<xref rid="b24-MCO-18-6-02641" ref-type="bibr">24</xref>). Previous studies have reported that DW-MRI can provide more accurate delineation for various types of cancer, including prostate cancer, head and neck squamous cell carcinoma, as well as cranial tumors (<xref rid="b25-MCO-18-6-02641 b26-MCO-18-6-02641 b27-MCO-18-6-02641 b28-MCO-18-6-02641" ref-type="bibr">25-28</xref>). The ability of DW-MRI to provide precise and non-invasive imaging render it an attractive option for delineating target volumes in patients with lung cancer. Of note, a previous study by the authors demonstrated that DW-MRI has the potential to reduce exposure doses to organs at risk (OARs), particularly the lungs, and minimizes the risk of radiation pneumonitis (<xref rid="b29-MCO-18-6-02641" ref-type="bibr">29</xref>). These findings suggested that DW-MRI may play a critical role in guiding precision radiotherapy for patients with lung cancer; further research is required to fully investigate its potential for improving patient outcomes.</p>
<p>In three-dimensional conformal radiation treatment (3D-CRT), the accurate delineation of tumor boundaries is challenging, particularly for central lung cancer with atelectasis, when relying solely on intensified CT for target volume delineation. This uncertainty may result in an increased exposure of the surrounding OARs and incidence rates of complications. A previous study by the authors demonstrated that DW-MRI surpassed CT and PET/CT procedures in precise and reproducible delineation of GTVs for lung tumors (<xref rid="b29-MCO-18-6-02641" ref-type="bibr">29</xref>). In the present study, a direct comparison of these three imaging methods is performed in terms of GTV image delineation and the resulting dosages by the lungs, heart, and spinal cord for patients with lung cancer with atelectasis.</p>
</sec>
<sec sec-type="Materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Patient selection</title>
<p>The present study (ethics approval reference no. 2015-06-85) was conducted according to a protocol approved by the Institutional Review Board and the Ethics Committee of Shandong Cancer Hospital and Institute. Written informed consent was obtained from all patients prior to their enrollment in the present study. The critical criterion of patient enrollment is the histological diagnosis of lung cancer accompanied by a varying degree of pulmonary atelectasis. All patients were evaluated for their health condition with a Karnofsky Performance Scale (KPS) score of &#x2265;70 and were deemed eligible for MRI examination with no contraindications. To ensure consistency, all of the images for each patient were collected using the three aforementioned procedures (CT, PET/CT and MRI) within 1 week.</p>
</sec>
<sec>
<title>Patient cohort</title>
<p>The present study recruited 27 patients with central lung cancer who were scheduled to undergo precision radiotherapy between October, 2014 and June, 2015, including 23 male and 4 female patients, with the patient age ranging from 37 to 79 years, with a median of 61 years. The lung cancer types included 12 cases of squamous cell carcinoma, six cases of adenocarcinoma, six cases of small cell carcinoma, two cases of atypical carcinoid, and one case of adenoid cystic carcinoma (rare form of adenocarcinoma). Among the 27 patients with central lung cancer, 8 patients presented with tumors in the upper left lung, 4 patients with tumors in the lower left lung, 5 patients with tumors in the upper right lung, 4 patients with tumors in the middle right lung, and 6 patients with tumors in the lower right lung (<xref rid="tI-MCO-18-6-02641" ref-type="table">Table I</xref>).</p>
</sec>
<sec>
<title>Image acquisition</title>
<p>The images collected using the CT, PET/CT and DW-MRI procedures were acquired and fused according to the methods described in a previous study (<xref rid="b29-MCO-18-6-02641" ref-type="bibr">29</xref>).</p>
</sec>
<sec>
<title>GTV delineation on CT, PET/CT and DW-MRI images</title>
<p>GTV measurements obtained according to CT, PET/CT and DW-MRI images, were named as GTV<sub>CT</sub>, GTV<sub>PET</sub> and GTV<sub>MRI</sub>, respectively. All CT, PET/CT, and DW-MRI images were independently reviewed by 10 radiotherapists, and the contours of the tumors were delineated according to standard procedures in China (<xref rid="b30-MCO-18-6-02641" ref-type="bibr">30</xref>). To account for the rough edges of the nodules and clumps in the CT images of lung tumors, the tumor edges were used as a reference for GTV<sub>CT</sub> delineation. The GTV delineation follows the procedure described in a previous study (<xref rid="b29-MCO-18-6-02641" ref-type="bibr">29</xref>).</p>
</sec>
<sec>
<title>Radiotherapy planning</title>
<p>Planning target volume (PTV) was created by expanding the GTV by 5 mm. For each imaging method, simple 3D-CRT plans were developed, namely Plan<sub>CT</sub>, Plan<sub>PET</sub> and Plan<sub>MRI</sub>. When planning the radiotherapy, the respective center points, the number of shoots, the direction of the field, the frame angle, and the position of the multi-blade grating were set. The dose curve encompassing &#x2264;95&#x0025; of the PTV was set to receive 95&#x0025; of the prescribed dose.</p>
<p>All plans were designed for delivery using six MV X-rays, with conventional radiotherapy-30 fractions of 2 Gy to a total dose of 60 Gy administered over a period of 6 weeks. The planning constraints for OARs were set according to the maximum dose administered to the spinal cord was &#x003C;45 Gy, the mean dose to the lungs was &#x003C;20 Gy, the percentage of the V<sub>20</sub> was &#x003C;30&#x0025;, the percentage of the total lung volume receiving &#x2265;30 Gy was &#x003C;20&#x0025; (V<sub>30</sub>), and the mean dose to the heart was &#x003C;20 Gy. The parameters of the lungs, heart and spinal cord were measured and recorded in three sets of radiotherapy plans.</p>
</sec>
<sec>
<title>Statistical analyses</title>
<p>Statistical analysis was performed using SAS 9.3 software. The differences between the GTVs and the effects on OARs are summarized as the mean &#x00B1; mean standard error (SE). The group means of CT, PET/CT and MRI were compared using one-way ANOVA with the Bonferroni adjustment. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Pairwise comparisons of GTV delineation using the CT, PET/CT and DW-MRI methods</title>
<p>The delineated GTVs for the CT, PET/CT and DW-MRI images were obtained through image fusions. DW-MRI images were advantageous in distinguishing central lung cancers from atelectasis, as compared with the T1 and T2 weighted sequence (<xref rid="f1-MCO-18-6-02641" ref-type="fig">Fig. 1</xref>). In a previous study by the authors (<xref rid="b29-MCO-18-6-02641" ref-type="bibr">29</xref>), examples of images from two individual patients were presented. Notably, the GTV delineated from the DW-MRI images was typically smaller in size with clear edges in comparison to the GTVs obtained from the CT and PET/CT images.</p>
</sec>
<sec>
<title>Effects on OARs</title>
<p>The radiation doses to the lungs, heart, and spinal cord of cancer patients under various imaging conditions according to Plan<sub>CT</sub>, Plan<sub>PET</sub>, and Plan<sub>MRI</sub> were obtained, as described in a previous study (<xref rid="b29-MCO-18-6-02641" ref-type="bibr">29</xref>). As demonstrated in <xref rid="tII-MCO-18-6-02641" ref-type="table">Table II</xref>, the proportion of lungs in Plan<sub>MRI</sub> was similar to that in Plan<sub>PET</sub> for each individual radiation dose, which was significantly reduced as compared with Plan<sub>CT</sub>. Similar results were observed in the dose volume histogram (DVH) of the patients (<xref rid="f2-MCO-18-6-02641" ref-type="fig">Fig. 2</xref>).</p>
<p>Notably, the data for the heart from all three plans exhibited a similar pattern as that of the lungs, with no statistically significant differences between the three plans (<xref rid="tIII-MCO-18-6-02641" ref-type="table">Table III</xref>). The proportion of spinal cord volume received in all three plans was similar at the dose of &#x003E;40 Gy or higher, and the mean and maximum doses on the spinal cord are similar in all three plans (<xref rid="tIV-MCO-18-6-02641" ref-type="table">Table IV</xref>).</p>
<p>In summary, pairwise comparisons of observed values of the lung for all three plans demonstrated that the DW-MRI values were indistinguishable from those of PET/CT and were differed significantly from those of CT. These data suggested that DW-MRI is appropriate for the delineation of GTVs for central lung cancers with atelectasis.</p>
</sec>
</sec>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>Central lung cancer often simultaneously occurs with obstructive pulmonary atelectasis (<xref rid="b31-MCO-18-6-02641" ref-type="bibr">31</xref>), which makes it imperative to distinguish between the central lung cancer and the accompanying atelectasis when assessing the tumor and delineating the target volume for radiotherapy (<xref rid="b19-MCO-18-6-02641" ref-type="bibr">19</xref>). The incorrect delineation of gross tumor volume could lead to lower survival rates and increased radiation dose on surrounding organs, especially normal lung tissue (<xref rid="b32-MCO-18-6-02641" ref-type="bibr">32</xref>,<xref rid="b33-MCO-18-6-02641" ref-type="bibr">33</xref>).</p>
<p>Whereas CT remains the only 3D imaging modality used for dose calculation, there are limitations in accurately differentiating clinical target volume and gross tumor volume due to low contrast and lack of functional imaging information (<xref rid="b34-MCO-18-6-02641" ref-type="bibr">34</xref>). It is challenging to distinguish lung cancer from pulmonary atelectasis due to inflammation and effusion (<xref rid="b35-MCO-18-6-02641" ref-type="bibr">35</xref>,<xref rid="b36-MCO-18-6-02641" ref-type="bibr">36</xref>). The delineated GTV based on the CT scan images was significantly larger than the pathologic GTV (<xref rid="b37-MCO-18-6-02641" ref-type="bibr">37</xref>). As regards CT, the received dosage of normal lung tissue and other adjacent organs is significantly higher than in PET/CT and MRI (<xref rid="b38-MCO-18-6-02641" ref-type="bibr">38</xref>-<xref rid="b39-MCO-18-6-02641" ref-type="bibr">39</xref>).</p>
<p>PET/CT has been proven to significantly enhance the accuracy of conventional imaging in estimating the full spectrum of lung cancer, as it can distinguish central lung cancer from atelectasis. However, PET/CT can also result in higher radiation exposure and cost (<xref rid="b36-MCO-18-6-02641" ref-type="bibr">36</xref>,<xref rid="b38-MCO-18-6-02641" ref-type="bibr">38</xref>). Deniaud-Alexandre <italic>et al</italic> (<xref rid="b40-MCO-18-6-02641" ref-type="bibr">40</xref>) revealed that PET/CT can provide different GTVs from the traditional CT plan in patients with non-small cell lung cancer and can also change the estimated receiving dosage of heart and lungs.</p>
<p>DW-MRI has become an indispensable tool in cancer research, diagnosis and treatment, and it has been suggested that DWI combined with MRI can provide important information in differentiating lung cancer and atelectasis (<xref rid="b41-MCO-18-6-02641" ref-type="bibr">41</xref>).</p>
<p>In the present study, the mean GTV measurements based on DW-MRI were similar to those based on PET/CT, but smaller than GTV based on CT significantly (<xref rid="b29-MCO-18-6-02641" ref-type="bibr">29</xref>). The results of the present study are consistent with those from previous studies (<xref rid="b42-MCO-18-6-02641 b43-MCO-18-6-02641 b44-MCO-18-6-02641 b45-MCO-18-6-02641 b46-MCO-18-6-02641" ref-type="bibr">42-46</xref>). DW-MRI outperforms CT in differentiating the central lung cancer from obstructive pulmonary atelectasis and achieves similar outcomes with PET/CT, while avoiding the PET/CT scan radiation and lowering the treatment costs.</p>
<p>In advanced lung cancer precision radiotherapy, the radiation dose is often limited by the amount of exposure to the OARs at the target area. By minimizing the receiving dosage of the OARs, precision radiotherapy can decrease the occurrence of complications and effectively improve the radiation dose of the target area under the same toxicity reaction (<xref rid="b30-MCO-18-6-02641" ref-type="bibr">30</xref>).</p>
<p>Bradley <italic>et al</italic> (<xref rid="b47-MCO-18-6-02641" ref-type="bibr">47</xref>) reported that GTV was positively associated with the average esophageal dose and lung V<sub>20</sub> in PET/CT delineation of the target area. The results of the present study confirmed that, with the same dose gradient, the exposure volume of the OARs significantly decreased using the DW-MRI-based radiotherapy plan, particularly in lungs. In relation to central lung cancer with atelectasis, with the decrease and disappearance in air content in the lungs, collapsed lung tissues and tumors merge in CT images into a solid mass with a similar density, impeding target delineation in radiotherapy and affecting the receiving dosage of the OARs (<xref rid="b29-MCO-18-6-02641" ref-type="bibr">29</xref>,<xref rid="b48-MCO-18-6-02641" ref-type="bibr">48</xref>). Combined with DW-MRI, the lung atelectasis can be differentiated from the solid lung tumor. The accuracy-boosted delineation of the tumor tissues and the reduced exposure volume of the OARs culminates in lower radiation pneumonitis occurrence rate, a more accomplishable radiotherapy plan, and improved quality of life for patients with lung cancer with atelectasis. Compared to PET/CT, DW-MRI achieved the same effect on the protection of normal lung tissue. The DVH parameters in heart or spinal cord with DW-MRI and PET/CT exhibited a reduced exposure rate in comparison with CT, even though the differences were statistically insignificant.</p>
<p>The limitation of the present study was its small sample size, and further research and larger studies are required for the confirmation of the findings and the evaluation of the benefits of DW-MRI. In conclusion, radiotherapy treatment planning based on DW-MRI plays a crucial role in determining the border of lung cancer with pulmonary atelectasis, precisely delineating GTV, reducing potentially toxic reactions, and improving the quality of life of the patients. Apart from atelectasis, a number of factors have been reported to affect radiotherapy planning. Patients may achieve more accurate tumor delineation using DW-MRI without sacrificing high-dose radiation on the lungs and heart and spinal cord. DW-MRI is highly recommended since it is radiation-free and more cost-effective, which is particularly important in developing countries. With further research and the development of imaging technologies, DWI-MRI technology may play a more critical role in lung cancer precision radiotherapy.</p>
</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 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>XZ, TL, HZ and MZ were involved in the methodology, data analysis and conceptualization of the study. TL performed the formal analyses and reviewed the manuscript. XZ and HZ wrote and drafted the original manuscript. XZ and MZ confirm the authenticity of all the raw data. All authors have read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>All patients provided written informed consent prior to enrollment in the study. The study was approved by the Institutional Review Board and the Ethics Committee of Shandong Cancer Hospital and Institute (reference no. 2015-06-85).</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>All patients provided written informed consent regarding the publication of their data and images.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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<floats-group>
<fig id="f1-MCO-18-6-02641" position="float">
<label>Figure 1</label>
<caption><p>Magnetic resonance imaging sequences of a 61-year-old female patient with a central lung cancer accompanied with atelectasis. (A) Images from T1 sequence. (B) Images from T2 sequence. (C) Images from DWI sequence. DWI can differentiate tumor (red arrow) from atelectasis (white arrow), and tumor in DWI sequence had a clearer margin than those in T1 and T2 sequences. DWI, diffusion weighted imaging.</p></caption>
<graphic xlink:href="mco-18-06-02641-g00.tif" />
</fig>
<fig id="f2-MCO-18-6-02641" position="float">
<label>Figure 2</label>
<caption><p>DVH from the (A) Plan<sub>CT</sub>, (B) Plan<sub>PET</sub> and (C) Plan<sub>MRI</sub> of a 67-year-old female patient with central lung cancer in right-middle lung. Differences in volume are depicted at every dose under the three plans. The yellow line denotes the left lung, while the right lung, total lung, heart, and spinal cord are respectively represented by the green line (for the right lung), pink line (for the total lung), red line (for the heart) and blue line (for the spinal cord). DVH, dose volume histograms; Plan<sub>CT</sub>, 3D conformal plans in CT imaging; Plan<sub>PET</sub>, 3D conformal plans in PET/CT imaging; Plan<sub>MRI</sub>, 3D conformal plans in MRI imaging; CT, computed tomography; PET, positron emission tomography; MRI, magnetic resonance imaging.</p></caption>
<graphic xlink:href="mco-18-06-02641-g01.tif" />
</fig>
<table-wrap id="tI-MCO-18-6-02641" position="float">
<label>Table I</label>
<caption><p>Baseline characteristics of all patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Patient no.</th>
<th align="center" valign="middle">Sex</th>
<th align="center" valign="middle">Age, years</th>
<th align="center" valign="middle">Cancer type</th>
<th align="center" valign="middle">Tumor location in lung</th>
<th align="center" valign="middle">Clinical stage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">62</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Upper right</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">49</td>
<td align="left" valign="middle">Adenoid carcinoma</td>
<td align="left" valign="middle">Lower right</td>
<td align="center" valign="middle">IIIC</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">62</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Upper left</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">69</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Upper right</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">68</td>
<td align="left" valign="middle">Small cell carcinoma</td>
<td align="left" valign="middle">Upper left</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">37</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Lower right</td>
<td align="center" valign="middle">IIIC</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">41</td>
<td align="left" valign="middle">Small cell carcinoma</td>
<td align="left" valign="middle">Upper left</td>
<td align="center" valign="middle">IIIA</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">65</td>
<td align="left" valign="middle">Atypical carcinoid</td>
<td align="left" valign="middle">Upper left</td>
<td align="center" valign="middle">IIIC</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">69</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Lower left</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">52</td>
<td align="left" valign="middle">Adenoid carcinoma</td>
<td align="left" valign="middle">Middle right</td>
<td align="center" valign="middle">IIIA</td>
</tr>
<tr>
<td align="left" valign="middle">11</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">52</td>
<td align="left" valign="middle">Small cell carcinoma</td>
<td align="left" valign="middle">Upper right</td>
<td align="center" valign="middle">IIIC</td>
</tr>
<tr>
<td align="left" valign="middle">12</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">65</td>
<td align="left" valign="middle">Small cell carcinoma</td>
<td align="left" valign="middle">Upper left</td>
<td align="center" valign="middle">IIB</td>
</tr>
<tr>
<td align="left" valign="middle">13</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">62</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Middle right</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">14</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">56</td>
<td align="left" valign="middle">Adenoid carcinoma</td>
<td align="left" valign="middle">Lower right</td>
<td align="center" valign="middle">IIIA</td>
</tr>
<tr>
<td align="left" valign="middle">15</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">49</td>
<td align="left" valign="middle">Small cell carcinoma</td>
<td align="left" valign="middle">Lower right</td>
<td align="center" valign="middle">IIIC</td>
</tr>
<tr>
<td align="left" valign="middle">16</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">79</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Lower right</td>
<td align="center" valign="middle">IIB</td>
</tr>
<tr>
<td align="left" valign="middle">17</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">74</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Lower left</td>
<td align="center" valign="middle">IIIA</td>
</tr>
<tr>
<td align="left" valign="middle">18</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">48</td>
<td align="left" valign="middle">Adenoid carcinoma</td>
<td align="left" valign="middle">Upper left</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">19</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">61</td>
<td align="left" valign="middle">Small cell carcinoma</td>
<td align="left" valign="middle">Upper left</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">20</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">48</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Lower right</td>
<td align="center" valign="middle">IIIC</td>
</tr>
<tr>
<td align="left" valign="middle">21</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">49</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Upper right</td>
<td align="center" valign="middle">IIIC</td>
</tr>
<tr>
<td align="left" valign="middle">22</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">50</td>
<td align="left" valign="middle">Adenoid cystic carcinoma</td>
<td align="left" valign="middle">Lower left</td>
<td align="center" valign="middle">IIIA</td>
</tr>
<tr>
<td align="left" valign="middle">23</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">67</td>
<td align="left" valign="middle">Adenoid carcinoma</td>
<td align="left" valign="middle">Middle right</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">24</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">65</td>
<td align="left" valign="middle">Atypical carcinoid</td>
<td align="left" valign="middle">Middle right</td>
<td align="center" valign="middle">IIIC</td>
</tr>
<tr>
<td align="left" valign="middle">25</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">53</td>
<td align="left" valign="middle">Adenoid carcinoma</td>
<td align="left" valign="middle">Upper left</td>
<td align="center" valign="middle">IIIB</td>
</tr>
<tr>
<td align="left" valign="middle">26</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">49</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Upper right</td>
<td align="center" valign="middle">IIIC</td>
</tr>
<tr>
<td align="left" valign="middle">27</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">67</td>
<td align="left" valign="middle">Squamous cell carcinoma</td>
<td align="left" valign="middle">Lower left</td>
<td align="center" valign="middle">IIIA</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tII-MCO-18-6-02641" position="float">
<label>Table II</label>
<caption><p>Pairwise comparisons of CT, PET/CT and DW-MRI in lung measurements.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="4">&#x00A0;</th>
<th align="center" valign="middle" colspan="3">P-values<sup><xref rid="tfna-MCO-18-6-02641" ref-type="table-fn">a</xref></sup></th>
</tr>
<tr>
<th align="left" valign="middle">Parameters (mean &#x00B1; SE)</th>
<th align="center" valign="middle">Plan<sub>CT</sub></th>
<th align="center" valign="middle">Plan<sub>PET</sub></th>
<th align="center" valign="middle">Plan<sub>MRI</sub></th>
<th align="center" valign="middle">CT vs. PET/CT</th>
<th align="center" valign="middle">CT vs. MRI</th>
<th align="center" valign="middle">PET/CT vs. MRI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">V<sub>5</sub> (&#x0025;)</td>
<td align="center" valign="middle">19.28&#x00B1;2.14</td>
<td align="center" valign="middle">15.29&#x00B1;1.98</td>
<td align="center" valign="middle">15.28&#x00B1;2.29</td>
<td align="center" valign="middle">0.011</td>
<td align="center" valign="middle">0.004</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>10</sub> (&#x0025;)</td>
<td align="center" valign="middle">14.76&#x00B1;1.76</td>
<td align="center" valign="middle">11.50&#x00B1;1.62</td>
<td align="center" valign="middle">11.57&#x00B1;1.89</td>
<td align="center" valign="middle">0.006</td>
<td align="center" valign="middle">0.002</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>15</sub> (&#x0025;)</td>
<td align="center" valign="middle">12.68&#x00B1;1.56</td>
<td align="center" valign="middle">9.52&#x00B1;1.37</td>
<td align="center" valign="middle">9.72&#x00B1;1.59</td>
<td align="center" valign="middle">0.003</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>20</sub> (&#x0025;)</td>
<td align="center" valign="middle">11.19&#x00B1;1.44</td>
<td align="center" valign="middle">8.23&#x00B1;1.21</td>
<td align="center" valign="middle">8.49&#x00B1;1.40</td>
<td align="center" valign="middle">0.002</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>25</sub> (&#x0025;)</td>
<td align="center" valign="middle">9.87&#x00B1;1.39</td>
<td align="center" valign="middle">7.02&#x00B1;1.10</td>
<td align="center" valign="middle">7.32&#x00B1;1.27</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>30</sub> (&#x0025;)</td>
<td align="center" valign="middle">8.26&#x00B1;1.31</td>
<td align="center" valign="middle">5.54&#x00B1;0.93</td>
<td align="center" valign="middle">5.94&#x00B1;1.06</td>
<td align="center" valign="middle">0.003</td>
<td align="center" valign="middle">0.003</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>35</sub> (&#x0025;)</td>
<td align="center" valign="middle">6.85&#x00B1;1.13</td>
<td align="center" valign="middle">4.12&#x00B1;0.68</td>
<td align="center" valign="middle">4.57&#x00B1;0.82</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>40</sub> (&#x0025;)</td>
<td align="center" valign="middle">5.11&#x00B1;0.81</td>
<td align="center" valign="middle">2.74&#x00B1;0.45</td>
<td align="center" valign="middle">3.20&#x00B1;0.57</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">D<sub>mean</sub> (cGy)</td>
<td align="center" valign="middle">6.20&#x00B1;0.73</td>
<td align="center" valign="middle">4.50&#x00B1;0.56</td>
<td align="center" valign="middle">4.70&#x00B1;0.68</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">NS</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfna-MCO-18-6-02641"><p><sup>a</sup>The P-values were obtained from a one-way ANOVA with Bonferroni adjustment. Plan<sub>CT</sub>, 3D conformal plans in CT imaging; Plan<sub>PET</sub>, 3D conformal plans in PET/CT imaging; Plan<sub>MRI</sub>, 3D conformal plans in MRI imaging; CT, computed tomography; PET, positron emission tomography; MRI, magnetic resonance imaging; V<sub>x</sub>, the proportion of lung volume received at least x Gy; D<sub>mean</sub>, the mean dosage; NS, not significant (P&#x003E;0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-MCO-18-6-02641" position="float">
<label>Table III</label>
<caption><p>Pairwise comparisons of CT, PET/CT, and MRI in heart measurements.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="4">&#x00A0;</th>
<th align="center" valign="middle" colspan="3">P-values<sup><xref rid="tfn1-a-MCO-18-6-02641" ref-type="table-fn">a</xref></sup></th>
</tr>
<tr>
<th align="left" valign="middle">Parameters (mean &#x00B1; SE)</th>
<th align="center" valign="middle">Plan<sub>CT</sub></th>
<th align="center" valign="middle">Plan<sub>PET</sub></th>
<th align="center" valign="middle">Plan<sub>MRI</sub></th>
<th align="center" valign="middle">CT vs. PET/CT</th>
<th align="center" valign="middle">CT vs. MRI</th>
<th align="center" valign="middle">PET/CT vs. MRI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">V<sub>30</sub> (&#x0025;)</td>
<td align="center" valign="middle">8.90&#x00B1;3.61</td>
<td align="center" valign="middle">6.78&#x00B1;3.71</td>
<td align="center" valign="middle">6.59&#x00B1;3.82</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">0.040</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>40</sub> (&#x0025;)</td>
<td align="center" valign="middle">2.86&#x00B1;1.09</td>
<td align="center" valign="middle">1.65&#x00B1;0.88</td>
<td align="center" valign="middle">1.87&#x00B1;1.13</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">0.036</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>45</sub> (&#x0025;)</td>
<td align="center" valign="middle">1.64&#x00B1;0.67</td>
<td align="center" valign="middle">0.85&#x00B1;0.47</td>
<td align="center" valign="middle">1.09&#x00B1;0.68</td>
<td align="center" valign="middle">0.017</td>
<td align="center" valign="middle">0.038</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>50</sub> (&#x0025;)</td>
<td align="center" valign="middle">1.14&#x00B1;0.52</td>
<td align="center" valign="middle">0.62&#x00B1;0.36</td>
<td align="center" valign="middle">0.83&#x00B1;0.54</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">V<sub>55</sub> (&#x0025;)</td>
<td align="center" valign="middle">0.87&#x00B1;0.40</td>
<td align="center" valign="middle">0.47&#x00B1;0.28</td>
<td align="center" valign="middle">0.65&#x00B1;0.44</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">D<sub>mean</sub> (cGy)</td>
<td align="center" valign="middle">8.16&#x00B1;2.29</td>
<td align="center" valign="middle">5.39&#x00B1;1.88</td>
<td align="center" valign="middle">5.32&#x00B1;1.93</td>
<td align="center" valign="middle">0.007</td>
<td align="center" valign="middle">0.007</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">D<sub>max</sub> (cGy)</td>
<td align="center" valign="middle">46.60&#x00B1;6.80</td>
<td align="center" valign="middle">38.42&#x00B1;7.57</td>
<td align="center" valign="middle">38.11&#x00B1;7.72</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-a-MCO-18-6-02641"><p><sup>a</sup>The P-values were obtained from a one-way ANOVA of least square means with Bonferroni adjustment. Plan<sub>CT</sub>, 3D conformal plans in CT imaging; Plan<sub>PET</sub>, 3D conformal plans in PET/CT imaging; Plan<sub>MRI</sub>, 3D conformal plans in MRI imaging; CT, computed tomography; PET, positron emission tomography; MRI, magnetic resonance imaging; V<sub>x</sub>, the proportion of heart volume received at least x Gy; D<sub>mean</sub>, the mean dosage; D<sub>max</sub>, the maximum dose; NS, not significant (P&#x003E;0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-MCO-18-6-02641" position="float">
<label>Table IV</label>
<caption><p>Pairwise comparisons of CT, PET/CT, and MRI in spinal cord measurements.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="4">&#x00A0;</th>
<th align="center" valign="middle" colspan="3">P-values<sup><xref rid="tfn2-a-MCO-18-6-02641" ref-type="table-fn">a</xref></sup></th>
</tr>
<tr>
<th align="left" valign="middle">Parameters (mean &#x00B1; SE)</th>
<th align="center" valign="middle">Plan<sub>CT</sub></th>
<th align="center" valign="middle">Plan<sub>PET</sub></th>
<th align="center" valign="middle">Plan<sub>MRI</sub></th>
<th align="center" valign="middle">CT vs. PET/CT</th>
<th align="center" valign="middle">CT vs. MRI</th>
<th align="center" valign="middle">PET/CT vs. MRI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">V<sub>40</sub> (&#x0025;)</td>
<td align="center" valign="middle">1.13&#x00B1;1.13</td>
<td align="center" valign="middle">0.90&#x00B1;0.90</td>
<td align="center" valign="middle">0.56&#x00B1;0.56</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">D<sub>mean</sub> (cGy)</td>
<td align="center" valign="middle">4.91&#x00B1;0.92</td>
<td align="center" valign="middle">4.40&#x00B1;0.86</td>
<td align="center" valign="middle">4.60&#x00B1;0.88</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">D<sub>max</sub> (cGy)</td>
<td align="center" valign="middle">27.00&#x00B1;3.78</td>
<td align="center" valign="middle">27.53&#x00B1;3.90</td>
<td align="center" valign="middle">27.93&#x00B1;3.76</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-a-MCO-18-6-02641"><p><sup>a</sup>The P-values were obtained from a one-way ANOVA with Bonferroni adjustment. Plan<sub>CT</sub>, 3D conformal plans in CT imaging; Plan<sub>PET</sub>, 3D conformal plans in PET/CT imaging; Plan<sub>MRI</sub>, 3D conformal plans in MRI imaging; CT, computed tomography; PET, positron emission tomography; MRI, magnetic resonance imaging; V<sub>40</sub>, the proportion of spine cord volume received at least 40 Gy; D<sub>mean</sub>, the mean dose on spine cord; D<sub>max</sub>, the maximum dose on spine cord; NS, not significant (P&#x003E;0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
