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<article xmlns:ali="http://www.niso.org/schemas/ali/1.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties open_access?><front><journal-meta><journal-id journal-id-type="nlm-ta">Korean J Intern Med</journal-id><journal-id journal-id-type="iso-abbrev">Korean J. Intern. Med</journal-id><journal-id journal-id-type="publisher-id">KJIM</journal-id><journal-title-group><journal-title>The Korean Journal of Internal Medicine</journal-title></journal-title-group><issn pub-type="ppub">1226-3303</issn><issn pub-type="epub">2005-6648</issn><publisher><publisher-name>The Korean Association of Internal Medicine</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">25995661</article-id><article-id pub-id-type="pmc">4438285</article-id><article-id pub-id-type="doi">10.3904/kjim.2015.30.3.308</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject><subj-group subj-group-type="heading"><subject>Gastroenterology</subject></subj-group></subj-group></article-categories><title-group><article-title>Use of <sup>18</sup>F-FDG PET to predict tumor progression and survival in patients with intermediate hepatocellular carcinoma treated by transarterial chemoembolization</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Kim</surname><given-names>Min Jin</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Kim</surname><given-names>Young Seok</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Cho</surname><given-names>Youn Hee</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Jang</surname><given-names>Hee Yoon</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Song</surname><given-names>Jeong-Yeop</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Sae Hwan</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Jeong</surname><given-names>Soung Won</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Kim</surname><given-names>Sang Gyune</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Jang</surname><given-names>Jae Young</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Kim</surname><given-names>Hong Su</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Kim</surname><given-names>Boo Sung</given-names></name><xref ref-type="aff" rid="A1-kjim-30-308">1</xref></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Won Hyung</given-names></name><xref ref-type="aff" rid="A2-kjim-30-308">2</xref></contrib><contrib contrib-type="author"><name><surname>Park</surname><given-names>Jung Mi</given-names></name><xref ref-type="aff" rid="A2-kjim-30-308">2</xref></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Jae Myung</given-names></name><xref ref-type="aff" rid="A3-kjim-30-308">3</xref></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Min Hee</given-names></name><xref ref-type="aff" rid="A3-kjim-30-308">3</xref></contrib><contrib contrib-type="author"><name><surname>Choi</surname><given-names>Deuk Lin</given-names></name><xref ref-type="aff" rid="A4-kjim-30-308">4</xref></contrib></contrib-group><aff id="A1-kjim-30-308"><label>1</label>Digestive Disease Center and Research Institute, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.</aff><aff id="A2-kjim-30-308"><label>2</label>Department of Nuclear Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.</aff><aff id="A3-kjim-30-308"><label>3</label>Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.</aff><aff id="A4-kjim-30-308"><label>4</label>Department of Radiology, Soonchunhyang University Hospital, Seoul, Korea.</aff><author-notes><corresp>
Correspondence to Young Seok Kim, M.D. Digestive Disease Center and Research Institute, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Wonmi-gu, Bucheon 420-767, Korea. Tel: +82-32-621-6546, Fax: +82-32-621-5080, <email>liverkys@schmc.ac.kr</email></corresp></author-notes><pub-date pub-type="ppub"><month>5</month><year>2015</year></pub-date><pub-date pub-type="epub"><day>29</day><month>4</month><year>2015</year></pub-date><volume>30</volume><issue>3</issue><fpage>308</fpage><lpage>315</lpage><history><date date-type="received"><day>25</day><month>5</month><year>2014</year></date><date date-type="rev-recd"><day>27</day><month>6</month><year>2014</year></date><date date-type="accepted"><day>25</day><month>8</month><year>2014</year></date></history><permissions><copyright-statement>Copyright &#xA9; 2015 The Korean Association of Internal Medicine</copyright-statement><copyright-year>2015</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><sec><title>Background/Aims</title><p><sup>18</sup>F-Fluorodeoxyglucose positron-emission tomography (<sup>18</sup>F-FDG PET) has been used to assess the biological behavior of hepatocellular carcinoma (HCC). In this study, we investigated the usefulness of <sup>18</sup>F-FDG PET for predicting tumor progression and survival in patients with intermediate Barcelona Clinic Liver Cancer (BCLC) intermediate-stage HCC treated by transarterial chemoembolization (TACE).</p></sec><sec><title>Methods</title><p>From February 2006 to March 2013, 210 patients treated with TACE, including 77 patients with BCLC intermediate-stage HCC, underwent examination by <sup>18</sup>F-FDG PET. <sup>18</sup>F-FDG uptake was calculated based on the tumor maximum (Tmax) standardized uptake value (SUV), the liver mean (Lmean) SUV, and the ratio of the Tmax SUV to the Lmean SUV (Tmax/Lmean).</p></sec><sec><title>Results</title><p>The mean follow-up period for the 77 patients (52 males, 25 females; average age, 63.3 years) was 22.2 months. The median time to progression of HCC in patients with a low Tmax/Lmean (&lt; 1.83) and high Tmax/Lmean (&#x2265; 1.83) was 17 and 6 months, respectively (<italic>p</italic> &lt; 0.001). The median overall survival time of patients with a low and high Tmax/Lmean was 44 and 14 months, respectively (<italic>p</italic> = 0.003). Multivariate analysis revealed that the Tmax/Lmean was an independent predictor of overall survival (hazard ratio [HR], 1.96; 95% confidence interval [CI], 1.210 to 3.156; <italic>p</italic> = 0.006) and tumor progression (HR, 2.05; 95% CI, 1.264 to 3.308; <italic>p</italic> = 0.004).</p></sec><sec><title>Conclusions</title><p><sup>18</sup>F-FDG uptake calculated by the Tmax/Lmean using PET predicted tumor progression and survival in patients with BCLC intermediate-stage HCC treated by TACE.</p></sec></abstract><kwd-group><kwd>Carcinoma, hepatocellular</kwd><kwd>Fluorodeoxyglucose F18</kwd><kwd>Positron-emission tomography</kwd><kwd>Tomography, X-ray computed</kwd></kwd-group><funding-group><award-group><funding-source country="KR">Soonchunhyang University</funding-source></award-group></funding-group></article-meta></front><body><sec sec-type="intro"><title>INTRODUCTION</title><p><sup>18</sup>F-Fluorodeoxyglucose positron-emission tomography (<sup>18</sup>F-FDG PET) is well established as a valuable imaging tool for detecting various types of malignancy, such as head and neck, pancreas, brain, lung, colon, and metastatic liver tumors [<xref rid="B1-kjim-30-308" ref-type="bibr">1</xref>,<xref rid="B2-kjim-30-308" ref-type="bibr">2</xref>]. However, the diagnostic accuracy of <sup>18</sup>F-FDG PET for the evaluation of primary hepatocellular carcinoma (HCC) is unsatisfactory due to various features of <sup>18</sup>F-FDG uptake in HCC. The sensitivity of <sup>18</sup>F-FDG-PET for detecting HCC is approximately 50% to 70% [<xref rid="B3-kjim-30-308" ref-type="bibr">3</xref>,<xref rid="B4-kjim-30-308" ref-type="bibr">4</xref>,<xref rid="B5-kjim-30-308" ref-type="bibr">5</xref>], and <sup>18</sup>F-FDG uptake by HCC varies according to the size and histological grade of the tumor [<xref rid="B6-kjim-30-308" ref-type="bibr">6</xref>,<xref rid="B7-kjim-30-308" ref-type="bibr">7</xref>]. Furthermore, several studies have reported that the degree of <sup>18</sup>F-FDG uptake is an independent prognostic factor in patients with HCC who undergo sorafenib treatment [<xref rid="B8-kjim-30-308" ref-type="bibr">8</xref>]. Monitoring of <sup>18</sup>F-FDG uptake using PET may be useful for assessing the biological behavior of HCC [<xref rid="B9-kjim-30-308" ref-type="bibr">9</xref>,<xref rid="B10-kjim-30-308" ref-type="bibr">10</xref>]. Patients with Barcelona Clinic Liver Cancer (BCLC) intermediate-stage HCC represent a heterogeneous population characterized by various degrees of liver dysfunction, tumor burdens, and disease etiologies [<xref rid="B11-kjim-30-308" ref-type="bibr">11</xref>]. According to the BCLC staging system, transarterial chemoembolization (TACE) is the standard treatment for intermediate-stage HCC. However, the long-term survival of patients treated with TACE is not satisfactory [<xref rid="B12-kjim-30-308" ref-type="bibr">12</xref>]; thus, evaluation and monitoring of the treatment response in patients with intermediate-stage HCC is important. Several studies have evaluated the association between the monitoring system used and mortality in patients with HCC treated by TACE [<xref rid="B13-kjim-30-308" ref-type="bibr">13</xref>,<xref rid="B14-kjim-30-308" ref-type="bibr">14</xref>]; however, several limitations of these studies were evident. In the present study, we assessed the usefulness of <sup>18</sup>F-FDG PET for evaluating tumor progression and survival in patients with intermediate-stage HCC treated by TACE.</p></sec><sec sec-type="methods"><title>METHODS</title><p>We retrospectively analyzed patients with HCC who underwent PET/computed tomography (CT) from February 2006 to March 2013 at Soonchunhyang University Bucheon Hospital and Seoul Hospital. In total, 210 patients were enrolled. For HCC staging, all patients underwent triple-phase CT or contrast-enhanced magnetic resonance imaging (MRI) of the abdomen, chest X-ray, and/or chest CT; a whole-body bone scan; and PET/CT. Diagnosis of HCC was based on pathological confirmation or the typical appearance of HCC on either two dynamic imaging tests (CT and MRI) or on one dynamic imaging test with an elevated serum &#x3B1;-fetoprotein (AFP) level of &gt; 200 ng/mL [<xref rid="B15-kjim-30-308" ref-type="bibr">15</xref>]. The modified International Union Against Cancer tumor node metastasis (TNM) staging system was used to define the tumor stage [<xref rid="B16-kjim-30-308" ref-type="bibr">16</xref>]. The BCLC algorithm was developed using performance status (PS) and liver function to classify tumors into early, intermediate, and advanced. In particular, intermediate-stage tumors were defined as multinodular (&gt; 3) tumors without extrahepatic spread in patients with a PS of 0 and Child-Pugh (CP) class of A or B [<xref rid="B17-kjim-30-308" ref-type="bibr">17</xref>]. In total, 77 patients with intermediate-stage HCC were treated with TACE. Data were collected to examine the patients' characteristics including sex, age, etiology of liver disease, CP classification, AFP level, primary tumor size, model for end-stage liver disease (MELD) score, TNM tumor stage, portal vein tumor thrombosis, Eastern Cooperative Oncology Group PS, presence of ascites, survival time since initial diagnosis, and progression time.</p><sec><title>Transarterial chemoembolization</title><p>TACE was performed once every 4 to 6 weeks using selective catheterization of the hepatic segmental arteries feeding the tumors. Patients were treated with a mixture of intra-arterial adriamycin (50 mg/m<sup>2</sup>) and lipiodol (5 to 10 mL) with gelfoam embolization. After embolization, angiography was performed to confirm blood flow to other arterial vessels and determine the extent of vascular occlusion. CT and laboratory findings, including the AFP level, were used to assess the treatment response according to the modified Response Evaluation Criteria in Solid Tumors 4 weeks after TACE [<xref rid="B18-kjim-30-308" ref-type="bibr">18</xref>].</p></sec><sec><title>PET imaging</title><p>All patients fasted for &gt; 8 hours. When the plasma glucose level reached &lt; 180 mg/dL, an <sup>18</sup>F-FDG PET scan was performed. Scanning was initiated approximately 1 hour after intravenous administration of 0.7 MBq/kg <sup>18</sup>F-FDG. A low-dose noncontrast CT scan using a PET/CT camera (Siemens Biograph 2, Siemens, Knoxville, TN, USA) was obtained for attenuation correction. Whole-body images were obtained, and data were acquired in three-dimensional (3D) mode after intravenous administration of <sup>18</sup>F-FDG. The obtained PET images were interpreted by two experienced nuclear medicine physicians, and decisions regarding the findings were reached by consensus.</p><p>The <sup>18</sup>F-FDG uptake was calculated based on the tumor maximum (Tmax) standardized uptake value (SUV), the liver mean (Lmean) SUV, and the ratio of the Tmax SUV to the Lmean SUV (Tmax/Lmean). The Tmax SUV was measured based on the maximal radioactivity concentration in the tumor per injection dose using the following equation: Tmax SUV = concentration (kBq/mL) / dose (kBq) / body weight (kg).</p><p>The Lmean was measured using the average SUVs at three points in nontumor tissues. Three-pointed regions of interest (ROIs) were defined on the target lesions on transaxial tomograms of the PET images. The ROIs were established using 3D analysis and drawn on the normal liver (each 100 mm<sup>3</sup>) (<xref ref-type="fig" rid="F1-kjim-30-308">Fig. 1</xref>).</p></sec><sec><title>Statistical analysis</title><p>All statistical analyses were performed using PASW Statistics version 18.0 (SPSS Inc., Chicago, IL, USA). All values are expressed as the means &#xB1; standard deviation. The cumulative progression-free survival rate and cumulative overall survival rate were analyzed with a Kaplan-Meier model. The difference was compared using the log-rank test. The statistical significance of the prognostic factors was analyzed using Cox regression in a multivariate model. Variables with a <italic>p</italic> &lt; 0.05 were considered for the analysis, and 95% confidence intervals (CIs) were calculated.</p></sec></sec><sec sec-type="results"><title>RESULTS</title><sec><title>Baseline characteristics</title><p>Seventy-seven patients (52 males, 25 females) with a mean age of 63.3 &#xB1; 11.0 years were included in this study. The etiology of liver disease included hepatitis B virus (n = 51, 66.2%), hepatitis C virus (n = 9, 11.6%), alcoholic liver disease (n = 8, 10.4%), autoimmune hepatitis (n = 3, 3.9%), and unknown (n = 6, 7.8%). The CP classification was A in 56 patients (72.7%) and B in 21 patients (27.3%). Seventy-four patients (96.1%) were cirrhotic with an average MELD score of 10.4 &#xB1; 3.3, and 16 patients (20.8%) had serum AFP level of &gt; 200 ng/mL. The mean size and number of tumors were 5.6 cm and 3.3, respectively. The patients' baseline characteristics are presented in <xref ref-type="table" rid="T1-kjim-30-308">Table 1</xref>.</p></sec><sec><title>Factors associated with tumor progression</title><p>Forty-five of the 77 patients (58.4%) exhibited tumor progression during the follow-up period. Thirty-two patients with a measured Tmax/Lmean were enrolled. Based on our data, the median Tmax/Lmean (1.83) was used as the cutoff value by which to differentiate the low Tmax/Lmean and high Tmax/Lmean groups. The cumulative incidence of progression according to a low and high Tmax/Lmean is shown in <xref ref-type="fig" rid="F2-kjim-30-308">Fig. 2A</xref>. The median tumor progression time of patients with a low Tmax/Lmean (&lt; 1.83) and high Tmax/Lmean (&#x2265; 1.83) was 17 and 6 months, respectively (<italic>p</italic> &lt; 0.001). The statistically significant predictive factors associated with progression-free survival of patients with intermediate-stage HCC using the univariate Cox regression model were the alanine transaminase (ALT) level, number of tumors, mean number of TACE sessions, and Tmax/Lmean. The Tmax/Lmean was an independent risk factor for progression-free survival after adjusting for the mean number of TACE sessions, ALT level, and number of tumors (hazard ratio [HR], 2.05; 95% CI, 1.264 to 3.308; <italic>p</italic> = 0.004) (<xref ref-type="table" rid="T2-kjim-30-308">Table 2</xref>).</p></sec><sec><title>Factors associated with overall survival</title><p>During the follow-up period, 30 of the 77 patients (38.9%) died. Thirty-two patients with a measured Tmax/Lmean were analyzed using the Kaplan-Meier curve. The Kaplan-Meier curve of overall survival according to a low and high Tmax/Lmean is shown in <xref ref-type="fig" rid="F2-kjim-30-308">Fig. 2B</xref>. The median overall survival time of patients with a low Tmax/Lmean (&lt; 1.83) was longer than that in patients with a high Tmax/Lmean (&#x2265; 1.83) (44 and 14 months, respectively; <italic>p</italic> = 0.003). The clinical factors significantly associated with overall survival of patients with intermediate-stage HCC using the univariate Cox regression model were the number of tumors and the Tmax/Lmean. In the multivariate analysis, Tmax/Lmean was the only significant predictive factor (HR, 1.96; 95% CI, 1.210 to 3.156; <italic>p</italic> = 0.006) (<xref ref-type="table" rid="T3-kjim-30-308">Table 3</xref>).</p></sec></sec><sec sec-type="discussion"><title>DISCUSSION</title><p>Approximately 20% of all patients with HCC are classified as having intermediate BCLC-stage cancer, a noncurative disease in a heterogeneous population of patients with varying tumor burdens, degrees of liver dysfunction, and disease etiologies [<xref rid="B11-kjim-30-308" ref-type="bibr">11</xref>,<xref rid="B12-kjim-30-308" ref-type="bibr">12</xref>,<xref rid="B19-kjim-30-308" ref-type="bibr">19</xref>], Surgical resection and radiofrequency ablation are not considered to be primary treatment modalities for intermediate-stage HCC. Nevertheless, approximately only 50% of patients with intermediate-stage HCC are treated with TACE in Korea, similar to other countries [<xref rid="B20-kjim-30-308" ref-type="bibr">20</xref>]. Thus, follow-up and monitoring after TACE in patients with intermediate-stage HCC is important.</p><p>PET has recently been used for the diagnosis of HCC. Unlike most diagnostic modalities, PET provides information regarding tumor metabolism. Because of differences in the activity of enzymes such as glucose-6-phosphatase, different accumulations of <sup>18</sup>F-FDG can be observed in a malignant tumor. The activity of glucose-6-phosphatase reportedly varies widely in patients with HCC; thus, <sup>18</sup>F-FDG uptake varies similarly [<xref rid="B21-kjim-30-308" ref-type="bibr">21</xref>,<xref rid="B22-kjim-30-308" ref-type="bibr">22</xref>]. According to previous studies, the detection sensitivity of <sup>18</sup>F-FDG PET for HCC is approximately 50% to 70% [<xref rid="B3-kjim-30-308" ref-type="bibr">3</xref>,<xref rid="B4-kjim-30-308" ref-type="bibr">4</xref>,<xref rid="B5-kjim-30-308" ref-type="bibr">5</xref>]. Because of the low <sup>18</sup>F-FDG uptake sensitivity in individual HCCs, we selected the HCC ROIs using CT for accurate measurement of Tmax [<xref rid="B23-kjim-30-308" ref-type="bibr">23</xref>].</p><p><sup>18</sup>F-FDG PET has been used to predict outcomes in patients with HCC. Lee et al. [<xref rid="B8-kjim-30-308" ref-type="bibr">8</xref>] reported that the degree of <sup>18</sup>F-FDG uptake is an independent prognostic factor in patients with HCC who undergo sorafenib treatment. Another study reported that HCCs with high uptake of <sup>18</sup>F-FDG are associated with a more aggressive outcome and that uptake is related to gene expression [<xref rid="B9-kjim-30-308" ref-type="bibr">9</xref>].</p><p>In the present study, <sup>18</sup>F-FDG uptake was calculated based on the Tmax SUV, Lmean SUV, and Tmax/Lmean. Specifically, the Lmean SUV was measured as the average SUV from three points in nontumor tissues determined by 3D analysis and drawn on the normal liver (each 100 mm<sup>3</sup>), unlike other studies [<xref rid="B24-kjim-30-308" ref-type="bibr">24</xref>,<xref rid="B25-kjim-30-308" ref-type="bibr">25</xref>,<xref rid="B26-kjim-30-308" ref-type="bibr">26</xref>]. Other studies have calculated the Lmean SUV by drawing two circular ROIs of both lobes. Because <sup>18</sup>F-FDG PET is affected by underlying liver conditions such as liver cirrhosis, the tumor to nontumor SUV ratio is more useful than other parameters used in previous studies [<xref rid="B24-kjim-30-308" ref-type="bibr">24</xref>,<xref rid="B27-kjim-30-308" ref-type="bibr">27</xref>]. Additionally, the Tmax/Lmean was a significant independent factor associated with progression (HR, 2.05; 95% CI, 1.264 to 3.308; <italic>p</italic> = 0.004) and an independent factor of overall survival (HR, 1.96; 95% CI, 1.210 to 3.156; <italic>p</italic> = 0.006).</p><p>The limitations of this study were the small number of participants and retrospective design. Therefore, selection bias may have affected the results. Various factors-such as the PS after TACE and the time interval between TACE sessions-could have affected the results. However, because TACE was performed using the same protocol at a single institution, this study had relatively little variation. Additionally, this study could not predict the correlation between the degree of treatment response and PET. Nevertheless, we determined that <sup>18</sup>F-FDG uptake is likely associated with overall survival and tumor progression. Additional prospective studies with larger cohorts are necessary to confirm these results.</p><p>In conclusion, PET can predict tumor progression and survival in patients with intermediate-stage HCC who undergo TACE. Tmax/Lmean was the only significant independent factor for both progression-free survival and overall survival. Thus, <sup>18</sup>F-FDG PET is a good outcome predictor for patients with intermediate-stage HCC treated with TACE.</p></sec><sec><title>KEY MESSAGE</title><boxed-text position="float" orientation="portrait"><p>
<list list-type="order"><list-item><p>Evaluation and monitoring of the treatment response in patients with intermediate-stage hepatocellular carcinoma (HCC) is important.</p></list-item><list-item><p>The ratio of the tumor maximum standardized uptake value (SUV) to the liver mean SUV was the only significant independent factor for both progression-free survival and overall survival.</p></list-item><list-item><p><sup>18</sup>F-Fluorodeoxyglucose positron-emission tomography for evaluating tumor progression and survival in patients with intermediate-stage HCC treated by transarterial chemoembolization is usefulness.</p></list-item></list>
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(A) Cumulative incidence of progression according to tumor maximum/liver mean (Tmax/Lmean). (B) Kaplan-Meier curve of overall survival according to Tmax/Lmean. Tmax/Lmean = ratio of Tmax standardized uptake value (SUV) to Lmean SUV.</title></caption><graphic xlink:href="kjim-30-308-g002"/></fig><table-wrap id="T1-kjim-30-308" orientation="portrait" position="float"><label>Table 1</label><caption><title>Baseline characteristics of enrolled patients with intermediate hepatocellular carcinoma (n = 77)</title></caption><graphic xlink:href="kjim-30-308-i001"/><table-wrap-foot><fn><p>Values are presented as mean &#xB1; SD.</p><p>CHB, chronic hepatitis B; CHC, chronic hepatitis C; PT, prothrombin time; INR, international normalized ratio; MELD, model for end-stage liver disease; Tmax SUV, tumor maximum standardized uptake value; Lmean SUV, liver mean standardized uptake value; Tmax/Lmean, ratio of Tmax SUV to Lmean SUV; TACE, transarterial chemoembolization.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2-kjim-30-308" orientation="portrait" position="float"><label>Table 2</label><caption><title>Univariate and multivariate analysis for progression of intermediate hepatocellular carcinoma after transarterial chemoembolization treatment (Cox regression model)</title></caption><graphic xlink:href="kjim-30-308-i002"/><table-wrap-foot><fn><p>HR, hazard ratio; CI, confidence interval; TACE, transarterial chemoembolization; Tmax/Lmean, ratio of maximal tumor standardized uptake value to mean liver standardized uptake value.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3-kjim-30-308" orientation="portrait" position="float"><label>Table 3</label><caption><title>Univariate and multivariate analysis for mortality in patients with intermediate hepatocellular carcinoma after transarterial chemoembolization treatment (Cox regression model)</title></caption><graphic xlink:href="kjim-30-308-i003"/><table-wrap-foot><fn><p>HR, hazard ratio; CI, confidence interval; TACE, transarterial chemoembolization; Tmax/Lmean, ratio of maximal tumor standardized uptake value to mean liver standardized uptake value.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
