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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2022.876668</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Splenic Volume, an Easy-To-Use Predictor of HCC Late Recurrence for HCC Patients After Hepatectomy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Fang</surname>
<given-names>Tongdi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1231651"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Long</surname>
<given-names>Guo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mi</surname>
<given-names>Xingyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1386430"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Su</surname>
<given-names>Wenxin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1387120"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mo</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhou</surname>
<given-names>Ledu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/941168"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of General Surgery, The Xiangya Hospital of Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Qi Liu, Fudan University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Alessandro Vitale, University Hospital of Padua, Italy; Kristin Sheffield, Eli Lilly, United States; Matteo Donadon, Humanitas University, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ledu Zhou, <email xlink:href="mailto:zhould@csu.edu.cn">zhould@csu.edu.cn</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>876668</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Fang, Long, Mi, Su, Mo and Zhou</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Fang, Long, Mi, Su, Mo and Zhou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Purpose</title>
<p>The high recurrence rate of hepatocellular carcinoma (HCC) has a poor impact on the quality of life and survival time of patients. Especially for late recurrence, poor data are available in analysis. We aim to evaluate whether the splenic volume (SV) measured from preoperative CT images could predict late recurrence in HCC patients after hepatectomy.</p>
</sec>
<sec>
<title>Patients and Methods</title>
<p>A cohort of 300 HCC patients hospitalized at Xiangya Hospital of Central South University between January 2015 and June 2018 was retrospectively analyzed. The SV was calculated by using automated volumetry software from preoperative CT images. A total of 300 HCC patients were separated into the early recurrence cohort (n=167), the late recurrence cohort (n=39), and the no recurrence cohort (n=94) according to whether there is a recurrence and the recurrence time. Univariate and multivariate Cox analyses were performed to identify the independent risk factors of both early and late recurrence.</p>
</sec>
<sec>
<title>Results</title>
<p>AFP, Microvascular invasion (MVI), satellitosis, and BCLC staging were independent risk factors of HCC early recurrence. Splenic volume (HR=1.003, 95%CI:1.001-1.005, P&lt;0.001) was the only predictor of HCC late recurrence. Based on X-tile software, 133 non-early recurrence patients were divided into two groups according to SV: low SV (&lt;165ml, n=45) and high SV (&#x2265;165ml, n= 88). The low SV group had a significantly better RFS compared with the high SV group (P=0.015). Nomogram was built on the base of SV to get the probability of 3-year RFS, 4-year RFS, and 5-year RFS.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In our study, we drew a conclusion that splenic volume was the only predictor of HCC late recurrence because of its association with portal hypertension and liver cirrhosis. High splenic volume often indicated a worse recurrence.</p>
</sec>
</abstract>
<kwd-group>
<kwd>splenic volume (SV)</kwd>
<kwd>hepatocellular carcinoma</kwd>
<kwd>recurrence</kwd>
<kwd>nomogram</kwd>
<kwd>liver cirrhosis</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="45"/>
<page-count count="11"/>
<word-count count="5569"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>In the past few decades, hepatocellular carcinoma (HCC) has risen to become the sixth most aggressive malignancy and the fourth-leading cause of cancer-related deaths worldwide (<xref ref-type="bibr" rid="B1">1</xref>). Among the various therapeutic approaches, hepatic resection (HR) is presently considered one of the most curative modalities for HCC patients (<xref ref-type="bibr" rid="B2">2</xref>). With the continuous improvement of perioperative management and operation techniques over the past few years, although the overall survival time of the patient has been prolonged, the recurrence of HCC after hepatectomy remains high (<xref ref-type="bibr" rid="B3">3</xref>). As reported by the literature, the cumulative 5-year recurrence rate for HCC patients after hepatic resection was approximately 80% in most centers (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>The potential mechanism of postoperative recurrence could be an intrahepatic relapse of the primary tumor (considered as early recurrence) or the emergence of <italic>de novo</italic> multicentric tumor (stated as late recurrence). Therefore, according to the time to postoperative recurrence, we artificially divided the recurrence of liver cancer into early recurrence (recurrence within 24 months) and late recurrence (recurrence over 24 months) (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Numerous recent studies have shown that early recurrence is related to biological characteristics of tumors such as tumor size, tumor numbers, tumor differentiation, microscopic vascular invasion (MVI), and satellitosis (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). There is a lack of data to predict late recurrence. Scholars tend to accept the view that late recurrence is commonly associated with the intrinsic liver condition, like liver cirrhosis (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Liver cirrhosis is closely related to portal hypertension (PH) and PH could influence the natural history of the underlying liver condition in return (<xref ref-type="bibr" rid="B15">15</xref>). We couldn&#x2019;t accurately assess PH clinically without some invasive methods. The spleen is a sensitive organ to PH alteration and responds promptly in the form of splenomegaly. Moreover, splenomegaly can contribute to the progression of PH by increasing splenic blood flow (<xref ref-type="bibr" rid="B16">16</xref>). However, the relationship between splenomegaly and liver cirrhosis or PH is controversial. This is partly because the spleen is irregular in shape and the spleen size is measured by longitudinal spleen axis on ultrasound or CT images, which makes it not as accurate as three-dimensional measurement.</p>
<p>Recently, liver computed tomography (CT) volumetry has been used to help assess liver volume in clinical practice (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Especially, when considering the future liver remnant (FLR) volume, we can use three-dimensional CT reconstruction to accurately represent the remaining liver volume (<xref ref-type="bibr" rid="B19">19</xref>). Similarly, with the same use of three-dimensional CT volumetry software, the splenic volume could be feasible to obtain. Some studies have shown that spleen volume measured by CT is a dependable indicator for liver fibrosis, cirrhosis, and portal hypertension (<xref ref-type="bibr" rid="B20">20</xref>). As far as we know, the role of splenic volume as a predictor of HCC late recurrence has never been explored. Therefore, this study aimed to assess whether the SV measured by 3D reconstruction could predict HCC late recurrence after hepatectomy.</p>
</sec>
<sec id="s2">
<title>Patients and Methods</title>
<sec id="s2_1">
<title>Patients</title>
<p>A total of 320 patients meeting the inclusion criteria had undergone curative liver resection between January 2015 and June 2018 at XiangYa Hospital. Considering the exclusion criteria, we excluded 11 patients due to recurrent tumors and nine patients were excluded because of receiving anticancer treatments prior to hepatectomy. None of the patients had splenomegaly due to other causes such as hematological diseases. At last, our study included 300 HCC patients who underwent curative liver resection between January 2015 and June 2018 at XiangYa Hospital, Central South University.</p>
<p>Before hepatectomy, the splenic volume was measured using three-dimensional CT reconstruction for each patient. The study was under the permission of the Ethics Committee of the Xiangya Hospital and complied with the Declaration of Helsinki. Because of the retrospective nature of the study, the ethics committee did not require patient consent to review their medical data. The selection of HCC patients for hepatectomy in our study was based on Barcelona Clinic Liver Cancer (BCLC) criteria.</p>
<p>The inclusion criteria included: 1) diagnosis of HCC; 2) no simultaneous malignancies; 3) R0 resection confirmed by the postoperative pathological examination; 4) patients underwent a CT examination before surgery; 5) aged above 18 years old.</p>
<p>The exclusion criteria included: 1) patients were considered to have recurrent tumors; 2) patient received radiofrequency ablation (RA), transarterial chemoembolization (TACE), or other anticancer treatments before hepatectomy; 3) splenomegaly from other causes, like hematological diseases.</p>
</sec>
<sec id="s2_2">
<title>Follow-up and Endpoints</title>
<p>Routine examinations were required for all patients every 2 to 3 months after surgery in the first 2 years, including liver function tests, tumor markers, and liver ultrasound. A confirmatory computed tomography (CT) and/or magnetic resonance imaging (MRI) scan were performed if necessary. After 2 years of follow-up, we reduced the frequency of follow-up visits to every 3 to 6 months. The endpoint of the study was recurrence-free survival (RFS), which was measured as the time from the end of surgery to recurrence or metastasis (including death due to recurrence or metastasis), or the last follow-up date. The patients with a recurrence or metastasis within 24 months after hepatectomy were allocated into the early recurrence cohort, and those with a relapse or metastasis over 24 months were put into the late recurrence cohort. The patients without relapse or metastasis until the last follow-up date were allocated into the no recurrence cohort. Patients followed up for 2 years at least or having recurrence after surgery were collected. The follow-up endpoint was July 1, 2020.</p>
</sec>
<sec id="s2_3">
<title>Splenic Volume Calculation</title>
<p>All patients received an abdominal CT scan before surgery. By using a medical image analysis procedure (Myrian<sup>&#xae;</sup>; Intrasense S.A.S., Montpellier, France), a three-dimensional reconstruction of the spleen was performed for automated volumetry, and the results were modified by manual tracking of splenic margin following automated reconstruction by two experienced observers. The final SV was calculated after volumetry of the spleen (example shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Three-dimensional reconstruction of the spleen was performed for automated volumetry by using medical image analysis software. The splenic volume was calculated after volumetry of the spleen. Red color, spleen; Purple color, tumor; Orange color, liver; Green color, hepatic vein; Blue color, portal vein.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-876668-g001.tif"/>
</fig>
</sec>
<sec id="s2_4">
<title>Clinicopathologic Variables</title>
<p>The following factors were analyzed: age (time of surgery), gender, preoperative serum examination including routine blood, liver function, coagulation function, serum alpha-fetoprotein (AFP), hepatitis B surface antigen (HBsAg), spenic volume, and postoperative clinicopathological data including tumor size, tumor number, tumor differentiation, satellitosis, liver cirrhosis, microvascular invasion (MVI), and tumor stage (BCLC staging).</p>
</sec>
<sec id="s2_5">
<title>Statistical Analysis</title>
<p>We collected patients who were followed up for 2 years to identify the independent factors associated with early recurrence. Then, those without relapse within 2 years were reanalyzed to recognize the independent variables related to late recurrence.</p>
<p>Continuous variables were expressed as mean &#xb1; standard deviation and analyzed using t-tests. Categorical variables were shown as frequency (percentage) and chi-square test was performed for comparison. Univariable and multivariate Cox analyses were performed for identifying the associated factors of RFS. In order to verify the significance of our findings and their potential application in clinical practice, we built a prediction model (nomogram) based on the independent late recurrence predictors by using the <italic>R</italic> (version 4.0.3). According to optimal cutoff values determined by X-tile software, the included patients were divided into two sub-groups. Recurrence-free survival (RFS) analyses were assessed by using the Kaplan-Meier (K-M) curve and a log-rank test. Statistical analysis was performed using SPSS 26.0 for windows (SPSS, Chicago, IL, USA) and R 4.1.1 software (Institute for Statistics and Mathematics). P&lt; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Result</title>
<sec id="s3_1">
<title>Clinicopathologic Characteristics</title>
<p>A total of 300 patients who met the inclusion and exclusion criteria were included. They were followed up for at least 2 years from the surgery date until the last follow-up date or until having HCC recurrence. Clinicopathologic characteristics of the three groups are comparatively shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Of 300 included patients, 167 out of 300 (55.7%) patients had an early recurrence, 39 out of 300 (13.0%) patients developed a late recurrence, and 94 (31.3%) patients didn&#x2019;t have recurrence (shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographics and clinical data of study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Whole cohort (N=300)</th>
<th valign="top" align="center">Early recurrence (N=167)</th>
<th valign="top" align="center">Late recurrence (N=39)</th>
<th valign="top" align="center">No recurrence (N=94)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, yr (mean &#xb1; SD)</td>
<td valign="top" align="char" char="&#xb1;">50.38 &#xb1; 11.02</td>
<td valign="top" align="char" char="&#xb1;">48.96 &#xb1; 11.54</td>
<td valign="top" align="char" char="&#xb1;">52.40 &#xb1; 8.84</td>
<td valign="top" align="char" char="&#xb1;">52.14 &#xb1; 10.58</td>
</tr>
<tr>
<td valign="top" align="left">Male, n (%)</td>
<td valign="top" align="center">261 (87)</td>
<td valign="top" align="center">146 (87.4)</td>
<td valign="top" align="center">36 (92.3)</td>
<td valign="top" align="center">79 (84)</td>
</tr>
<tr>
<td valign="top" align="left">Female, n (%)</td>
<td valign="top" align="center">39 (13)</td>
<td valign="top" align="center">21 (12.6)</td>
<td valign="top" align="center">3 (7.7)</td>
<td valign="top" align="center">15 (16)</td>
</tr>
<tr>
<td valign="top" align="left">HBsAg  (+), n (%)</td>
<td valign="top" align="center">255 (85)</td>
<td valign="top" align="center">149 (89.2)</td>
<td valign="top" align="center">32 (82.1)</td>
<td valign="top" align="center">74 (78.7)</td>
</tr>
<tr>
<td valign="top" align="left">Cirrhosis, n  (%)</td>
<td valign="top" align="center">227 (75.7)</td>
<td valign="top" align="center">133 (79.6)</td>
<td valign="top" align="center">31 (79.5)</td>
<td valign="top" align="center">63 (67)</td>
</tr>
<tr>
<td valign="top" align="left">Neutrophil, 10<sup>9</sup>L<break/> (mean &#xb1; SD)</td>
<td valign="top" align="char" char="&#xb1;">3.47 &#xb1; 1.34</td>
<td valign="top" align="char" char="&#xb1;">3.53 &#xb1; 1.40</td>
<td valign="top" align="char" char="&#xb1;">3.12 &#xb1; 1.37</td>
<td valign="top" align="char" char="&#xb1;">3.48 &#xb1; 1.21</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte,10<sup>9</sup>L (mean &#xb1; SD)</td>
<td valign="top" align="char" char="&#xb1;">1.52 &#xb1; 0.67</td>
<td valign="top" align="char" char="&#xb1;">1.52 &#xb1; 0.79</td>
<td valign="top" align="char" char="&#xb1;">1.39 &#xb1; 0.41</td>
<td valign="top" align="char" char="&#xb1;">1.58 &#xb1; 0.49</td>
</tr>
<tr>
<td valign="top" align="left">Platelet,10<sup>3</sup>L<break/>(mean&#xb1;SD)</td>
<td valign="top" align="char" char="&#xb1;">167.00 &#xb1; 70.94</td>
<td valign="top" align="char" char="&#xb1;">172.50 &#xb1; 78.52</td>
<td valign="top" align="char" char="&#xb1;">140.53 &#xb1; 67.27</td>
<td valign="top" align="char" char="&#xb1;">168.10 &#xb1; 54.16</td>
</tr>
<tr>
<td valign="top" align="left">TBil, &#x3bc;mol/L<break/>(mean &#xb1;SD)</td>
<td valign="top" align="char" char="&#xb1;">13.13 &#xb1; 6.02</td>
<td valign="top" align="char" char="&#xb1;">13.58 &#xb1; 7.05</td>
<td valign="top" align="char" char="&#xb1;">12.27 &#xb1; 4.21</td>
<td valign="top" align="char" char="&#xb1;">12.62 &#xb1; 4.46</td>
</tr>
<tr>
<td valign="top" align="left">Alb, g/L<break/>(mean &#xb1;SD)</td>
<td valign="top" align="char" char="&#xb1;">41.26 &#xb1; 4.59</td>
<td valign="top" align="char" char="&#xb1;">40.79 &#xb1; 4.86</td>
<td valign="top" align="char" char="&#xb1;">41.93 &#xb1; 4.72</td>
<td valign="top" align="char" char="&#xb1;">41.75 &#xb1; 3.99</td>
</tr>
<tr>
<td valign="top" align="left">ALT, U/L<break/>(mean &#xb1;SD)</td>
<td valign="top" align="char" char="&#xb1;">39.91 &#xb1; 26.09</td>
<td valign="top" align="char" char="&#xb1;">41.50 &#xb1; 26.58</td>
<td valign="top" align="char" char="&#xb1;">41.27 &#xb1; 18.95</td>
<td valign="top" align="char" char="&#xb1;">36.40 &#xb1; 27.56</td>
</tr>
<tr>
<td valign="top" align="left">AST, U/L<break/>(mean &#xb1;SD)</td>
<td valign="top" align="char" char="&#xb1;">47.44 &#xb1; 34.47</td>
<td valign="top" align="char" char="&#xb1;">52.78 &#xb1; 38.36</td>
<td valign="top" align="char" char="&#xb1;">41.90 &#xb1; 20.35</td>
<td valign="top" align="char" char="&#xb1;">40.09 &#xb1; 30.07</td>
</tr>
<tr>
<td valign="top" align="left">PT, s (mean &#xb1;SD)</td>
<td valign="top" align="char" char="&#xb1;">13.55 &#xb1; 1.10</td>
<td valign="top" align="char" char="&#xb1;">13.57 &#xb1; 1.13</td>
<td valign="top" align="char" char="&#xb1;">13.68 &#xb1; 0.97</td>
<td valign="top" align="char" char="&#xb1;">13.46 &#xb1; 1.10</td>
</tr>
<tr>
<td valign="top" align="left">Tumor size, cm<break/>(mean &#xb1;SD)</td>
<td valign="top" align="char" char="&#xb1;">6.38 &#xb1; 3.97</td>
<td valign="top" align="char" char="&#xb1;">7.42 &#xb1; 4.11</td>
<td valign="top" align="char" char="&#xb1;">5.29 &#xb1; 3.14</td>
<td valign="top" align="char" char="&#xb1;">4.97 &#xb1; 3.47</td>
</tr>
<tr>
<td valign="top" align="left">AFP, ng/ml, n (%)<break/>&#x2003;&#x2264;400<break/>&#x2003;&gt;400</td>
<td valign="top" align="center">191 (63.7)<break/>109 (36.3)</td>
<td valign="top" align="center">91 (54.5)<break/>76 (45.5)</td>
<td valign="top" align="center">30 (76.9)<break/>9 (23.1)</td>
<td valign="top" align="center">70 (74.5)<break/>24 (25.5)</td>
</tr>
<tr>
<td valign="top" align="left">Tumor number, n (%)<break/>&#x2003;1<break/>&#x2003;&gt;2</td>
<td valign="top" align="center">198 (66.0)<break/>102 (34.0)</td>
<td valign="top" align="center">89 (53.3)<break/>78 (46.7)</td>
<td valign="top" align="center">30 (76.9)<break/>9 (23.1)</td>
<td valign="top" align="center">79 (84)<break/>15 (16)</td>
</tr>
<tr>
<td valign="top" align="left">MVI, n (%)<break/>&#x2003;No<break/>&#x2003;Yes</td>
<td valign="top" align="center">169 (56.3)<break/>131 (43.7)</td>
<td valign="top" align="center">77 (46.1)<break/>90 (53.9)</td>
<td valign="top" align="center">27 (69.2)<break/>12 (30.8)</td>
<td valign="top" align="center">65 (69.1)<break/>29 (30.9)</td>
</tr>
<tr>
<td valign="top" align="left">Satellitosis, n (%)</td>
<td valign="top" align="center">65 (21.7)</td>
<td valign="top" align="center">55 (32.9)</td>
<td valign="top" align="center">4 (10.3)</td>
<td valign="top" align="center">6 (6.4)</td>
</tr>
<tr>
<td valign="top" align="left">Splenic volume, mL<break/>(mean &#xb1;SD)</td>
<td valign="top" align="char" char="&#xb1;">260.22 &#xb1; 160.89</td>
<td valign="top" align="char" char="&#xb1;">272.47 &#xb1; 174.92</td>
<td valign="top" align="char" char="&#xb1;">304.50 &#xb1; 178.83</td>
<td valign="top" align="char" char="&#xb1;">219.19 &#xb1; 111.36</td>
</tr>
<tr>
<td valign="top" align="left">BCLC staging, n (%)<break/>&#x2003;A<break/>&#x2003;B<break/>&#x2003;C</td>
<td valign="top" align="center">187 (62.3)<break/>67 (22.3)<break/>46 (15.3)</td>
<td valign="top" align="center">76 (45.5)<break/>51 (30.5)<break/>40 (24)</td>
<td valign="top" align="center">29 (74.4)<break/>7 (17.9)<break/>3 (7.7)</td>
<td valign="top" align="center">82. (87.2)<break/>9 (9.6)<break/>3 (3.2)</td>
</tr>
<tr>
<td valign="top" align="left">Differentiation, n (%)<break/>&#x2003;Well<break/>&#x2003;Moderate<break/>&#x2003;Poor</td>
<td valign="top" align="center">13 (4.3)<break/>226 (75.3)<break/>61 (20.3)</td>
<td valign="top" align="center">3 (1.8)<break/>123 (73.7)<break/>41 (24.6)</td>
<td valign="top" align="center">1 (2.6)<break/>34 (87.2)<break/>4 (10.3)</td>
<td valign="top" align="center">9 (9.6)<break/>69 (73.4)<break/>16 (17)</td>
</tr>
<tr>
<td valign="top" align="left">Recurrence, n (%)</td>
<td valign="top" align="center">206 (68.7)</td>
<td valign="top" align="center">167 (55.7)</td>
<td valign="top" align="center">39 (13.0)</td>
<td valign="top" align="center">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AFP, alpha-fetoprotein; ALB, albumin; ALT, alanine transaminase; TBIL, total bilirubin; AST, aspartate transaminase; MVI, microvascular invasion; PT, prothrombin time; BCLC, Barcelona Clinic Liver Cancer; HBsAg, hepatitis be antigen.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Flowchart of this study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-876668-g002.tif"/>
</fig>
<p>In the whole cohort, the average age at diagnosis was 50.4 &#xb1; 11.0 years old. The majority of patients (87%) were male and 85% of patients were infected with HBV, and cirrhosis was observed in 227 (75.7%) patients. The mean size of the tumor was (6.38 &#xb1; 3.97) cm and 102 (34.0%) patients had multiple tumors. The mean splenic volume was (260.22 &#xb1; 160.89) ml. Between three sub-group cohorts, the early recurrence cohort had a larger tumor size (7.42 &#xb1; 4.11) cm and a higher proportion of MVI (53.9%), satellitosis (32,9%), multiple tumors (46.7%), and poor tumor differentiation (24.6%). The late recurrence cohort had a larger splenic volume (304.50 &#xb1; 178.83) ml than others.</p>
<p>As for short-term complications, 75 Complications occurred in 50 patients among 300 HCC patients. Among them, liver failure was observed in 30 (10%) patients, with pleural effusion in 15 (5%) patients, biliary fistula in 11 (3.6%) patients, pulmonary infection in 10 (3.3%) patients, abdominal bleeding in six (2%) patients, and upper gastrointestinal bleeding in three (1%)patients.</p>
</sec>
<sec id="s3_2">
<title>Analyses of Risk Factors for HCC Recurrence</title>
<sec id="s3_2_1">
<title>Early Recurrence (&lt;2 Years)</title>
<p>Total clinicopathologic factors of 300 patients were taken into univariate and multivariate Cox analyses to identify independent risk factors. The univariate Cox analysis revealed that age, HBsAg, platelet, TBil, AST, AFP, tumor size, tumor number, MVI, satellitosis, BCLC staging, and tumor differentiation were potential risk factors of HCC early recurrence. Then, all the above factors were taken into multivariate Cox analysis. It suggested that AFP, MVI, satellitosis, and BCLC staging were independent risk factors of HCC early recurrence (shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The curve of RFS is shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Univariable and multivariable analyses for independent variables associated with HCC early recurrence.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" colspan="2" align="center">Univariable cox regression</th>
<th valign="top" colspan="2" align="center">Multivariable cox regression</th>
</tr>
<tr>
<th valign="top" align="left">N=300</th>
<th valign="top" align="center">HR (95%CI)</th>
<th valign="top" align="center">P value</th>
<th valign="top" align="center">HR (95%CI)</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">0.979 (0.965-0.993)</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.995 (0.979-1.011)</td>
<td valign="top" align="center">0.311</td>
</tr>
<tr>
<td valign="top" align="left">Gender, (Female vs Male)</td>
<td valign="top" align="center">0.987 (0.625-1.559)</td>
<td valign="top" align="center">0.955</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">HBsAg, (Yes vs No)</td>
<td valign="top" align="center">1.656 (1.015-2.702)</td>
<td valign="top" align="center">0.043</td>
<td valign="top" align="center">1.425 (0.849-2.393)</td>
<td valign="top" align="center">0.144</td>
</tr>
<tr>
<td valign="top" align="left">Cirrhosis, (Yes vs No)</td>
<td valign="top" align="center">1.380 (0.947-2.012)</td>
<td valign="top" align="center">0.094</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Neutrophil, 10<sup>9</sup>/L</td>
<td valign="top" align="center">1.068 (0.957-1.191)</td>
<td valign="top" align="center">0.241</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte, 10<sup>9</sup>/L</td>
<td valign="top" align="center">0.976 (0.765-1.244)</td>
<td valign="top" align="center">0.842</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Platelet, 10<sup>9</sup>/L</td>
<td valign="top" align="center">1.003 (1.001-1.005)</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">1.002 (1.000-1.005)</td>
<td valign="top" align="center">0.127</td>
</tr>
<tr>
<td valign="top" align="left">TBil, &#x3bc;mol/L</td>
<td valign="top" align="center">1.027 (1.003-1.052)</td>
<td valign="top" align="center">0.029</td>
<td valign="top" align="center">1.018 (0.995-1.041)</td>
<td valign="top" align="center">0.196</td>
</tr>
<tr>
<td valign="top" align="left">Alb, g/L</td>
<td valign="top" align="center">0.967 (0.934-1.001)</td>
<td valign="top" align="center">0.057</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ALT, U/L</td>
<td valign="top" align="center">1.003 (0.998-1.008)</td>
<td valign="top" align="center">0.292</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">AST, U/L</td>
<td valign="top" align="center">1.006 (1.003-1.010)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.999 (0.993-1.004)</td>
<td valign="top" align="center">0.915</td>
</tr>
<tr>
<td valign="top" align="left">PT, s</td>
<td valign="top" align="center">1.031 (0.893-1.189)</td>
<td valign="top" align="center">0.679</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">AFP, (&gt;400 vs &#x2264; 400ng/ml)</td>
<td valign="top" align="center">2.143 (1.578-2.910)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">1.758 (1.286-2.404)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Tumor size, cm</td>
<td valign="top" align="center">1.094 (1.061-1.128)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.998 (0.950-1.049)</td>
<td valign="top" align="center">0.811</td>
</tr>
<tr>
<td valign="top" align="left">Tumor number, (&#x2265;2 vs 1)</td>
<td valign="top" align="center">2.452 (1.805-3.332)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">1.332 (0.714-2.482)</td>
<td valign="top" align="center">0.566</td>
</tr>
<tr>
<td valign="top" align="left">MVI, (Yes vs No)</td>
<td valign="top" align="center">2.138 (1.576-2.902)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">1.423 (1.020-1.985)</td>
<td valign="top" align="center">
<bold>0.038</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Satellitosis</td>
<td valign="top" align="center">2.795 (2.017-3.875)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">1.551 (1.031-2.333)</td>
<td valign="top" align="center">
<bold>0.035</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Splenic volume (mL)</td>
<td valign="top" align="center">1.000 (1.000-1.001)</td>
<td valign="top" align="center">0.280</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BCLC staging</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;A</td>
<td valign="top" align="center">reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;B</td>
<td valign="top" align="center">2.795 (1.954-3.998)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.920 (1.229-2.999)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;C</td>
<td valign="top" align="center">4.512 (3.058-6.659)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.114 (2.007-4.833)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.244</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;well</td>
<td valign="top" align="center">reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;moderate</td>
<td valign="top" align="center">3.127 (0.994-9.832)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2.134 (0.673-6.771)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;poor</td>
<td valign="top" align="center">4.793 (1.483-15.489)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2.457 (0.741-8.149)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AFP, alpha-fetoprotein; HBsAg, hepatitis be antigen; ALB, albumin; ALT, alanine transaminase; TBIL, total bilirubin; AST, aspartate transaminase; PT, prothrombin time; MVI, microvascular invasion; BCLC, Barcelona Clinic Liver Cancer; HR, Hazard Ratio. &#x2018;P &lt; 0.05&#x2019; was highlighted in bold.</p>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Kaplan-Meier curve for recurrence-free survival of 300 patients. HCC, hepatocellular carcinoma.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-876668-g003.tif"/>
</fig>
</sec>
<sec id="s3_2_2">
<title>Late Recurrence (&gt;2 Years)</title>
<p>The same clinicopathologic factors of 133 patients were taken into univariate and multivariate Cox analyses to identify independent risk factors. The univariate analysis suggested that platelet (P=0.038) and splenic volume (P=0.001) were potential risk factors of HCC late recurrence. For further multivariate analysis, only splenic volume (HR=1.003, 95%CI:1.001-1.005, P=0.001) was an independent risk factor of HCC late recurrence (shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). (HR=1.003 means: for every 1 mL increase in splenic volume, a 0.3% increase in risk of late recurrence (0.3% as 1.003-1 = 0.003)). With the help of X-tile software, we figured splenic volume = 165 ml as an optimal cut-off value. Based on this cut-off value, the 133 patients were divided into two groups: low SV (&lt;165ml, n=45), and high SV (&#x2265;165ml, n= 88) (shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Subsequently, the survival analysis of RFS was performed by Kaplan&#x2013;Meier method between two groups (shown in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Among patients who survived without a recurrence within 24 months (time origin from 24 months), the median RFS was 816 days (95% CI: 544&#x2013;1087 days) in the high SV group and it didn&#x2019;t reach the median RFS in the low SV group. The low SV group had a significantly better RFS compared with the high SV group (P=0.015). Especially, 3- and 5-year RFS rates were 70% and 36% in the high SV group, while they were up to 89% and 71% in the low group.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariable and multivariable analyses for independent variables associated with HCC late recurrence.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" colspan="2" align="center">Univariable cox regression</th>
<th valign="top" colspan="2" align="center">Multivariable cox regression</th>
</tr>
<tr>
<th valign="top" align="left">N=133</th>
<th valign="top" align="center">HR(95%CI)</th>
<th valign="top" align="center">P value</th>
<th valign="top" align="center">HR(95%CI)</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">1.005 (0.972-1.040)</td>
<td valign="top" align="center">0.761</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Gender, (Female vs Male)</td>
<td valign="top" align="center">0.472 (0.145-1.536)</td>
<td valign="top" align="center">0.212</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">HBsAg, (Yes vs No)</td>
<td valign="top" align="center">0.914 (0.401-2.081)</td>
<td valign="top" align="center">0.830</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Cirrhosis, (Yes vs No)</td>
<td valign="top" align="center">1.818 (0.834-3.961)</td>
<td valign="top" align="center">0.132</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Neutrophil, 10<sup>9</sup>/L</td>
<td valign="top" align="center">0.857 (0.658-1.116)</td>
<td valign="top" align="center">0.251</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte, 10<sup>9</sup>/L</td>
<td valign="top" align="center">0.574 (0.287-1.147)</td>
<td valign="top" align="center">0.116</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Platelet, 10<sup>9</sup>/L</td>
<td valign="top" align="center">0.994 (0.988-1.000)</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">0.999 (0.992-1.006)</td>
<td valign="top" align="center">0.760</td>
</tr>
<tr>
<td valign="top" align="left">TBil, &#x3bc;mol/L</td>
<td valign="top" align="center">1.017 (0.946-1.093)</td>
<td valign="top" align="center">0.655</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Alb, g/L</td>
<td valign="top" align="center">1.004 (0.933-1.081)</td>
<td valign="top" align="center">0.914</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ALT, U/L</td>
<td valign="top" align="center">1.004 (0.994-1.013)</td>
<td valign="top" align="center">0.456</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">AST, U/L</td>
<td valign="top" align="center">0.999 (0.990 1.009)</td>
<td valign="top" align="center">0.859</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">PT, s</td>
<td valign="top" align="center">1.098 (0.858-1.404)</td>
<td valign="top" align="center">0.458</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">AFP, (&gt;400 vs &#x2264; 400ng/ml)</td>
<td valign="top" align="center">0.936 (0.444-1.976)</td>
<td valign="top" align="center">0.863</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Tumor size, cm</td>
<td valign="top" align="center">1.016 (0.930-1.110)</td>
<td valign="top" align="center">0.723</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Tumor number, (&#x2265;2 vs 1)</td>
<td valign="top" align="center">1.575 (0.744-3.335)</td>
<td valign="top" align="center">0.235</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">MVI, (Yes vs No)</td>
<td valign="top" align="center">0.889 (0.450-1.757)</td>
<td valign="top" align="center">0.734</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Satellitosis</td>
<td valign="top" align="center">2.093 (0.733-5.976)</td>
<td valign="top" align="center">0.168</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Splenic volume (mL)</td>
<td valign="top" align="center">1.003 (1.001-1.005)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.003 (1.001-1.005)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">BCLC staging</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.168</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;A</td>
<td valign="top" align="center">reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;B</td>
<td valign="top" align="center">1.980 (0.862-4.551)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;C</td>
<td valign="top" align="center">2.116 (0.634-7.059)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.237</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;well</td>
<td valign="top" align="center">reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;moderate</td>
<td valign="top" align="center">4.200 (0.574-30.734)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;poor</td>
<td valign="top" align="center">2.454 (0.273-22.039)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AFP, alpha fetoprotein; HBsAg, hepatitis be antigen; ALB, albumin; TBIL, total bilirubin; ALT, alanine transaminase; AST, aspartate transaminase; PT, prothrombin time; MVI, microvascular invasion; BCLC, Barcelona Clinic Liver Cancer. &#x2018;P &lt; 0.05&#x2019; was highlighted in bold.</p>
</table-wrap-foot>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The cut-off values were calculated by using X-tile based on the SV. The cut-off values were 167 for RFS. SV, splenic volume; RFS, recurrence-free survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-876668-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Comparison of RFS in late recurrence patients between two groups (SV&lt;165ml, SV&#x2265;165ml). RFS, recurrence-free survival; SV, splenic volume.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-876668-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s3_3">
<title>Comparison Between Two Groups</title>
<p>Clinicopathological factors are compared according to two groups (shown in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Patients with low SV had a higher platelet count than those with high SV (189.49 &#xb1; 55.92 vs 145.06 &#xb1; 56.05, P&lt;0.001). Also, the proportion of cirrhosis is lower in the low SV group (55.6%vs78.4%, P=0.006). However, there was no significant difference between the two groups in tumor-related factors, such as tumor size (P=0.071), AFP (P=0.436), MVI (P=0.729), BCLC staging (P=0.073), and tumor differentiation (P=0.084). Of 133 included patients, 33 out of 88 (37.5%) patients developed a recurrence in the high SV group, and six out of 45 (13.3%) patients developed a recurrence in the low SV group (P=0.004). Therefore, we can get the conclusion that after excluding tumor-related factors (related to early recurrence), splenic volume is the only predictive factor for late HCC recurrence.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Comparison of clinicopathological factors between high splenic volume and low splenic volume group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">High splenic volume (N=88)</th>
<th valign="top" align="center">Low splenic volume (N=45)</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">HBsAg (+), n (%)</td>
<td valign="top" rowspan="2" align="center">71 (80.7)<break/>69 (78.4)</td>
<td valign="top" rowspan="2" align="center">35 (77.8)<break/>25 (55.6)</td>
<td valign="top" rowspan="2" align="center">0.694<break/>0.006</td>
</tr>
<tr>
<td valign="top" align="left">Cirrhosis, n (%)</td>
</tr>
<tr>
<td valign="top" align="left">Platelet,10<sup>3</sup>L<break/>(mean &#xb1; SD)</td>
<td valign="top" align="char" char="&#xb1;">145.06 &#xb1; 56.05</td>
<td valign="top" align="char" char="&#xb1;">189.49 &#xb1; 55.92</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Tumor size, cm<break/>(mean &#xb1; SD)</td>
<td valign="top" align="char" char="&#xb1;">5.40 &#xb1; 3.78</td>
<td valign="top" align="char" char="&#xb1;">4.43 &#xb1; 2.30</td>
<td valign="top" align="center">0.071</td>
</tr>
<tr>
<td valign="top" align="left">AFP, ng/ml, n (%)<break/>&#x2003;&#x2264;400<break/>&#x2003;&gt;400</td>
<td valign="top" align="center">68 (77.3)<break/>20 (22.7)</td>
<td valign="top" align="center">32 (71.1)<break/>13 (28.9)</td>
<td valign="top" align="center">0.436</td>
</tr>
<tr>
<td valign="top" align="left">Tumor number, n (%)<break/>&#x2003;1<break/>&#x2003;&gt;2</td>
<td valign="top" align="center">71 (80.7)<break/>17 (19.3)</td>
<td valign="top" align="center">38 (84.4)<break/>7 (15.6)</td>
<td valign="top" align="center">0.593</td>
</tr>
<tr>
<td valign="top" align="left">MVI, n (%)<break/>&#x2003;No<break/>&#x2003;Yes</td>
<td valign="top" align="center">60 (68.2)<break/>28 (31.8)</td>
<td valign="top" align="center">32 (71.1)<break/>13 (28.9)</td>
<td valign="top" align="center">0.729</td>
</tr>
<tr>
<td valign="top" align="left">Satellitosis, n (%)</td>
<td valign="top" align="center">10 (11.4)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.045</td>
</tr>
<tr>
<td valign="top" align="left">BCLC staging, n (%)<break/>&#x2003;A<break/>&#x2003;B<break/>&#x2003;C</td>
<td valign="top" align="center">71 (80.7)<break/>11 (12.5)<break/>6 (6.8)</td>
<td valign="top" align="center">40 (88.9)<break/>5 (11.1)<break/>0</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<td valign="top" align="left">Differentiation, n (%)<break/>&#x2003;Well<break/>&#x2003;Moderate<break/>&#x2003;Poor</td>
<td valign="top" align="center">6 (6.8)<break/>73 (83.0)<break/>9 (10.2)</td>
<td valign="top" align="center">4 (8.9)<break/>30 (66.7)<break/>11 (24.4)</td>
<td valign="top" align="center">0.084</td>
</tr>
<tr>
<td valign="top" align="left">Recurrence, n (%)</td>
<td valign="top" align="center">33 (37.5)</td>
<td valign="top" align="center">6 (13.3)</td>
<td valign="top" align="center">0.004</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are expressed as mean &#xb1; SD or n (%).</p>
</fn>
<fn>
<p>AFP, &#x3b1;-fetoprotein level; HBsAg, hepatitis be antigen; MVI, microvascular invasion; BCLC, Barcelona Clinic Liver Cancer.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Nomogram for Late Recurrence Based on SV</title>
<p>Nomograms are novel prediction models widely used for cancer prognoses such as recurrence or death (<xref ref-type="bibr" rid="B21">21</xref>). A late recurrence prediction model of HCC patients was conducted based on splenic volume. By calculating the preoperative SV of patients, we could simply get the probability of 3-year RFS, 4-year RFS, and 5-year RFS (shown in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The nomogram was developed based on SV. An individual SV value is drawn upward to determine points. Because there is only one variable, the points are the total points, and a line is drawn downward to the likelihood of 3-year RFS, 4-year RFS, and 5-year RFS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-876668-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Although surgical resection is beneficial to HCC patients, the high recurrence rate of HCC patients after hepatectomy remains the most serious challenge for both clinical surgeons and patients (<xref ref-type="bibr" rid="B9">9</xref>). Therefore, to better improve the management of these patients, identifying predictors of recurrence after hepatectomy is indispensable.</p>
<p>The determination of cut-off time between the early and the late recurrence has always been a focus of debate because of their distinct physiopathologic mechanism and strategies of surveillance, prevention, and management of HCC recurrence. Although a few studies (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>) suggested that less than 1 year from resection to recurrence has a worse prognosis, the cut-off of 2 years after hepatectomy has been widely accepted by researchers (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Our study that there are completely different independent factors between early and late recurrence may indirectly support this point of view.</p>
<p>The risk factors for early HCC recurrence are mainly tumor-related, which is consistent with our study. In our study, we found that AFP (&gt;400ng/ml), MVI, satellitosis, and BCLC staging were independent risk factors of HCC early recurrence through the multivariable Cox regression analysis. AFP serves as a surrogate marker for tumor differentiation as well as vascular invasion and high-level AFP was reported to be linked to HCC recurrence (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Microvascular invasion (MVI) is defined as the presence of tumor cell clusters in the branch of the portal or hepatic vein under microscopy (<xref ref-type="bibr" rid="B26">26</xref>). Obviously, the presence of MVI signifies the invasion of tumor cells into the vessel. Roayaie et&#xa0;al. suggested that MVI is an extremely important factor that can accurately predict the risk of recurrence (<xref ref-type="bibr" rid="B27">27</xref>). As for satellitosis, it refers to small metastases around the main tumor. In general, satellitosis originated from MVI, indicating that tumor metastasis has entered a late pathological stage (<xref ref-type="bibr" rid="B28">28</xref>). Several articles (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>) revealed that HCC patients with satellitosis had a worse overall survival than those without satellitosis. Our study further confirmed that satellitosis is a risk factor for early recurrence. Among many liver cancer staging systems, The Barcelona Clinic Liver Cancer (BCLC) system is currently the most widely applied system around the world. The unique advantage of BCLC staging is that the patient&#x2019;s performance status, tumor burden, and liver function are considered comprehensively (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Advanced-stage HCC (BCLC-C HCC) patients have tumors that have spread beyond the liver, as well as vascular invasion. Similarly, BCLC staging has been widely validated and associated with the prognosis of HCC patients by several multicenter studies (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Subsequently, patients without early recurrence were accepted into our further analysis for late recurrence. After multivariate analysis, splenic volume was the only predictor of HCC late recurrence. The curves for late HCC recurrence-free survival showed a statistically significant difference: patients with SV &#x2265;165 ml had a higher recurrence rate. And for patients with SV &lt;165 ml, fewer than half of them relapsed during the study period. Through comparison between the low SV and the high SV groups, we found that most tumor-related variables (tumor size, AFP, MVI, BCLC staging, and tumor differentiation) didn&#x2019;t add a contribution to late recurrence. So according to the cut-off of 165 ml, we could preoperatively classify patients as high or low late recurrence of the crowd based on actual splenic volume (after excluding early recurrence-related factors). To obtain the late recurrence rate more accurately, we developed the nomogram based on SV. Depending on the specific value of SV, we could get the likelihood of the 3-year RFS, 4-year RFS, and 5-year RFS, which greatly facilitates individualized clinical surveillance and prevention of HCC recurrence.</p>
<p>There is no doubt that the risk factors for early HCC recurrence are biological characteristics of the tumor (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Whereas, there are poor data for predicting late recurrence (<xref ref-type="bibr" rid="B35">35</xref>). It is widely acknowledged that the severity of chronic liver conditions (like liver cirrhosis) plays a significant role to some degree (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). It is proven that the severity of portal hypertension accelerates the natural process of chronic liver disease, including HCC occurrence (<xref ref-type="bibr" rid="B36">36</xref>). Admittedly, the recurrence of HCC after 2 years of surgery was considered as a result of the development of <italic>de novo</italic> tumors or new malignant clones (<xref ref-type="bibr" rid="B9">9</xref>), which additionally confirms that late recurrence is correlated to the underlying liver condition. Therefore, we could assess the degree of liver cirrhosis by calculating the level of portal hypertension. In clinical, the Hepatic Venous Pressure Gradient (HVPG) is viewed as the gold standard for diagnosing PH. Due to its invasion, many scholars were devoted to searching for a non-invasive and simple method to evaluate HVPG. Both spleen size and platelet count were reported to serve as surrogate markers in assessing HVPG (<xref ref-type="bibr" rid="B37">37</xref>). In our univariate analysis for late recurrence, splenic volume (P=0.001) and platelet count (P=0.038) are risk factors, which supported previous theoretical research. It is well known that thrombocytopenia is caused by hypersplenism secondary to splenomegaly and is also one of the complications of portal hypertension. In our further multivariate analysis, however, the splenic volume (P=0.001) may play a more dominant role than platelet count (P=0.760).</p>
<p>HCC patients are often accompanied by congestive splenomegaly due to the background of cirrhosis. It is often seen in the increase of splenic vein pressure caused by the increase of portal vein pressure, which makes it difficult for the blood of the spleen to return, and then causes the blood stasis of the spleen, resulting in splenomegaly (<xref ref-type="bibr" rid="B38">38</xref>). In other words, Splenomegaly is regarded as an important symbol of cirrhosis and portal hypertension. Takeishi et&#xa0;al. showed that splenic volume could help predict HCC prognosis after hepatectomy, and combined splenectomy with hepatectomy can reduce tumor recurrence in patients with splenomegaly (<xref ref-type="bibr" rid="B39">39</xref>). Some studies (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>) have also found that HCC patients with splenomegaly tend to have a poor liver function. And for those patients, the incidence of tumor-related complications was significantly increased after surgeries, leading to a poor prognosis. It has also been discovered that the spleen plays an essential role in immunity. In Hashimoto&#x2019;s article (<xref ref-type="bibr" rid="B42">42</xref>), patients with splenomegaly have a higher number of CD4+ regulatory T cells, PD-L1, and PD-L2 expression cells than those without splenomegaly, implying that patients with splenomegaly have poor tumor immunity. The inhibitory influence of CD4+ Treg cells on immune function is mainly reflected in the inhibition of activation and proliferation of helper T cells and cytotoxic T cells, and it has been found that CD4+ Treg cells are involved in the formation of tumor immune tolerance and the inhibition of anti-tumor immune response (<xref ref-type="bibr" rid="B43">43</xref>). Similarly, cells expressing both PD-L1 and PD-L2 are crucial in the mechanism of tumor immune escape of the tumor microenvironment. In conclusion, decreased tumor immunity caused by splenomegaly may be one of the reasons for liver cancer recurrence.</p>
<p>For patients with large SV, liver transplantation has incomparable advantages compared with other treatment methods. It is the only method that can completely cure cirrhosis, HCC, and portal hypertension. However, because liver transplantation has high requirements for doctors, hospital equipment and conditions, as well as patient economy, not all patients have conditions to accept liver transplantation first. For those patients who cannot accept liver transplantation, the treatment of hepatocellular carcinoma should be given priority (re-resection). Therefore, for those patients with large SV, if they cannot accept primary liver transplantation (PLT), we&#x2019;ll consider hepatectomy first. Salvage liver transplantation (SLT) could be performed after several times of HCC recurrence or liver failure. It was shown that overall survival and disease-free survival were the same after PLT or SLT (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>Our study makes use of splenic volume to predict HCC late recurrence. Patients only need a preoperative CT scan, and SV is automatically obtained by using three-dimensional CT volumetry software. Another advantage of using SV as a predictor is that in comparison to liver volume, splenic volume in adults is not affected by age, BMI, or other factors (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>However, the current study has several limitations. Firstly, the possibility of selection bias certainly exists because of its retrospective nature. All data come from a single center and the late recurrence group had a small number of patients, which might make our results less convincing. Secondly, for developing the nomogram, the perfect design is to set up a training cohort and use other data to set up a validation cohort. This is really the shortcoming of our experiment. In fact, building a nomogram is not the main point of our article. Our team did not spend a lot of words describing the nomogram. Also, three-dimensional reconstruction of the spleen is not common in other hospitals. We have difficulty getting patient data from other hospitals as a validation cohort. Thirdly, we ignored the effect of anti-tumor therapy, such as antiviral drugs and neo/adjuvant systemic therapy, on the recurrence of liver cancer after surgery because we couldn&#x2019;t control the duration time and dose of therapy used by patients. A future multicenter prospective study is necessary.</p>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>In conclusion, our study verified that tumor-related factors are predictors of HCC early recurrence and splenic volume was related to HCC late recurrence because of its association with cirrhosis and PH. With the increase of SV, the probability of late recurrence also increases. This finding could assist us in guiding the clinical surveillance and prevention of HCC recurrence.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The study was approved by the ethics committee of Xiangya Hospital of Central South University.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>TF and LZ contributed to conception and design of the study. TF and LM organized the database. TF and GL performed the statistical analysis. TF wrote the first draft of the manuscript. TF wrote sections of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the grants National Nature Science Foundation of China (NO. 81771932).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Dong Wang, from the Affiliated Hospital of Qingdao University, for providing us with some useful suggestions for this manuscript.</p>
</ack>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2022.876668/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.876668/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.jpeg" id="SM1" mimetype="image/jpeg"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bray</surname> <given-names>F</given-names>
</name>
<name>
<surname>Ferlay</surname> <given-names>J</given-names>
</name>
<name>
<surname>Soerjomataram</surname> <given-names>I</given-names>
</name>
<name>
<surname>Siegel</surname> <given-names>RL</given-names>
</name>
<name>
<surname>Torre</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Jemal</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries</article-title>. <source>CA Cancer J Clin</source> (<year>2018</year>) <volume>68</volume>(<issue>6</issue>):<fpage>394</fpage>&#x2013;<lpage>424</lpage>. doi: <pub-id pub-id-type="doi">10.3322/caac.21492</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kulik</surname> <given-names>L</given-names>
</name>
<name>
<surname>Heimbach</surname> <given-names>JK</given-names>
</name>
<name>
<surname>Zaiem</surname> <given-names>F</given-names>
</name>
<name>
<surname>Almasri</surname> <given-names>J</given-names>
</name>
<name>
<surname>Prokop</surname> <given-names>LJ</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z</given-names>
</name>
<etal/>
</person-group>. <article-title>Therapies for Patients With Hepatocellular Carcinoma Awaiting Liver Transplantation: A Systematic Review and Meta-Analysis</article-title>. <source>Hepatology</source> (<year>2018</year>) <volume>67</volume>(<issue>1</issue>):<fpage>381</fpage>&#x2013;<lpage>400</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hep.29485</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>JD</given-names>
</name>
<name>
<surname>Hainaut</surname> <given-names>P</given-names>
</name>
<name>
<surname>Gores</surname> <given-names>GJ</given-names>
</name>
<name>
<surname>Amadou</surname> <given-names>A</given-names>
</name>
<name>
<surname>Plymoth</surname> <given-names>A</given-names>
</name>
<name>
<surname>Roberts</surname> <given-names>LR</given-names>
</name>
</person-group>. <article-title>A Global View of Hepatocellular Carcinoma: Trends, Risk, Prevention and Management</article-title>. <source>Nat Rev Gastroenterol Hepatol</source> (<year>2019</year>) <volume>16</volume>(<issue>10</issue>):<fpage>589</fpage>&#x2013;<lpage>604</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41575-019-0186-y</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Taura</surname> <given-names>K</given-names>
</name>
<name>
<surname>Ikai</surname> <given-names>I</given-names>
</name>
<name>
<surname>Hatano</surname> <given-names>E</given-names>
</name>
<name>
<surname>Fujii</surname> <given-names>H</given-names>
</name>
<name>
<surname>Uyama</surname> <given-names>N</given-names>
</name>
<name>
<surname>Shimahara</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Implication of Frequent Local Ablation Therapy for Intrahepatic Recurrence in Prolonged Survival of Patients With Hepatocellular Carcinoma Undergoing Hepatic Resection: An Analysis of 610 Patients Over 16 Years Old</article-title>. <source>Ann Surg</source> (<year>2006</year>) <volume>244</volume>(<issue>2</issue>):<page-range>265&#x2013;73</page-range>. doi: <pub-id pub-id-type="doi">10.1097/01.sla.0000217921.28563.55</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hanazaki</surname> <given-names>K</given-names>
</name>
<name>
<surname>Kajikawa</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shimozawa</surname> <given-names>N</given-names>
</name>
<name>
<surname>Mihara</surname> <given-names>M</given-names>
</name>
<name>
<surname>Shimada</surname> <given-names>K</given-names>
</name>
<name>
<surname>Hiraguri</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Survival and Recurrence After Hepatic Resection of 386 Consecutive Patients With Hepatocellular Carcinoma</article-title>. <source>J Am Coll Surg</source> (<year>2000</year>) <volume>191</volume>(<issue>4</issue>):<page-range>381&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1016/S1072-7515(00)00700-6</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cha</surname> <given-names>C</given-names>
</name>
<name>
<surname>Fong</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Jarnagin</surname> <given-names>WR</given-names>
</name>
<name>
<surname>Blumgart</surname> <given-names>LH</given-names>
</name>
<name>
<surname>DeMatteo</surname> <given-names>RP</given-names>
</name>
</person-group>. <article-title>Predictors and Patterns of Recurrence After Resection of Hepatocellular Carcinoma</article-title>. <source>J Am Coll Surg</source> (<year>2003</year>) <volume>197</volume>(<issue>5</issue>):<page-range>753&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.jamcollsurg.2003.07.003</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Marasco</surname> <given-names>G</given-names>
</name>
<name>
<surname>Colecchia</surname> <given-names>A</given-names>
</name>
<name>
<surname>Colli</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ravaioli</surname> <given-names>F</given-names>
</name>
<name>
<surname>Casazza</surname> <given-names>G</given-names>
</name>
<name>
<surname>Bacchi Reggiani</surname> <given-names>ML</given-names>
</name>
<etal/>
</person-group>. <article-title>Role of Liver and Spleen Stiffness in Predicting the Recurrence of Hepatocellular Carcinoma After Resection</article-title>. <source>J Hepatol</source> (<year>2019</year>) <volume>70</volume>(<issue>3</issue>):<page-range>440&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.jhep.2018.10.022</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Imamura</surname> <given-names>H</given-names>
</name>
<name>
<surname>Matsuyama</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tanaka</surname> <given-names>E</given-names>
</name>
<name>
<surname>Ohkubo</surname> <given-names>T</given-names>
</name>
<name>
<surname>Hasegawa</surname> <given-names>K</given-names>
</name>
<name>
<surname>Miyagawa</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Risk Factors Contributing to Early and Late Phase Intrahepatic Recurrence of Hepatocellular Carcinoma After Hepatectomy</article-title>. <source>J Hepatol</source> (<year>2003</year>) <volume>38</volume>(<issue>2</issue>):<page-range>200&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1016/S0168-8278(02)00360-4</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Portolani</surname> <given-names>N</given-names>
</name>
<name>
<surname>Coniglio</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ghidoni</surname> <given-names>S</given-names>
</name>
<name>
<surname>Giovanelli</surname> <given-names>M</given-names>
</name>
<name>
<surname>Benetti</surname> <given-names>A</given-names>
</name>
<name>
<surname>Tiberio</surname> <given-names>GA</given-names>
</name>
<etal/>
</person-group>. <article-title>Early and Late Recurrence After Liver Resection for Hepatocellular Carcinoma: Prognostic and Therapeutic Implications</article-title>. <source>Ann Surg</source> (<year>2006</year>) <volume>243</volume>(<issue>2</issue>):<page-range>229&#x2013;35</page-range>. doi: <pub-id pub-id-type="doi">10.1097/01.sla.0000197706.21803.a1</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname> <given-names>YM</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Li</surname> <given-names>B</given-names>
</name>
<name>
<surname>Yin</surname> <given-names>ZF</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>F</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>B</given-names>
</name>
<etal/>
</person-group>. <article-title>Risk Factors for Early Recurrence of Small Hepatocellular Carcinoma After Curative Resection</article-title>. <source>Hepatobil Pancreat Dis Int</source> (<year>2010</year>) <volume>9</volume>(<issue>1</issue>):<page-range>33&#x2013;7</page-range>.</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shimoda</surname> <given-names>M</given-names>
</name>
<name>
<surname>Tago</surname> <given-names>K</given-names>
</name>
<name>
<surname>Shiraki</surname> <given-names>T</given-names>
</name>
<name>
<surname>Mori</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kato</surname> <given-names>M</given-names>
</name>
<name>
<surname>Aoki</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Risk Factors for Early Recurrence of Single Lesion Hepatocellular Carcinoma After Curative Resection</article-title>. <source>World J Surg</source> (<year>2016</year>) <volume>40</volume>(<issue>10</issue>):<page-range>2466&#x2013;71</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s00268-016-3529-7</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Poon</surname> <given-names>RT</given-names>
</name>
<name>
<surname>Fan</surname> <given-names>ST</given-names>
</name>
<name>
<surname>Ng</surname> <given-names>IO</given-names>
</name>
<name>
<surname>Lo</surname> <given-names>CM</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>CL</given-names>
</name>
<name>
<surname>Wong</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Different Risk Factors and Prognosis for Early and Late Intrahepatic Recurrence After Resection of Hepatocellular Carcinoma</article-title>. <source>Cancer</source> (<year>2000</year>) <volume>89</volume>(<issue>3</issue>):<page-range>500&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1002/1097-0142(20000801)89:3&lt;500::AID-CNCR4&gt;3.0.CO;2-O</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Poon</surname> <given-names>RT</given-names>
</name>
</person-group>. <article-title>Differentiating Early and Late Recurrences After Resection of HCC in Cirrhotic Patients: Implications on Surveillance, Prevention, and Treatment Strategies</article-title>. <source>Ann Surg Oncol</source> (<year>2009</year>) <volume>16</volume>(<issue>4</issue>):<page-range>792&#x2013;4</page-range>. doi: <pub-id pub-id-type="doi">10.1245/s10434-009-0330-y</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>XF</given-names>
</name>
<name>
<surname>Xing</surname> <given-names>H</given-names>
</name>
<name>
<surname>Han</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>ZL</given-names>
</name>
<name>
<surname>Lau</surname> <given-names>WY</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>YH</given-names>
</name>
<etal/>
</person-group>. <article-title>Risk Factors, Patterns, and Outcomes of Late Recurrence After Liver Resection for Hepatocellular Carcinoma: A Multicenter Study From China</article-title>. <source>JAMA Surg</source> (<year>2019</year>) <volume>154</volume>(<issue>3</issue>):<page-range>209&#x2013;17</page-range>. doi: <pub-id pub-id-type="doi">10.1001/jamasurg.2018.4334</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gatta</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bolognesi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Merkel</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Vasoactive Factors and Hemodynamic Mechanisms in the Pathophysiology of Portal Hypertension in Cirrhosis</article-title>. <source>Mol Aspects Med</source> (<year>2008</year>) <volume>29</volume>(<issue>1-2</issue>):<page-range>119&#x2013;29</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.mam.2007.09.006</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Berzigotti</surname> <given-names>A</given-names>
</name>
<name>
<surname>Zappoli</surname> <given-names>P</given-names>
</name>
<name>
<surname>Magalotti</surname> <given-names>D</given-names>
</name>
<name>
<surname>Tiani</surname> <given-names>C</given-names>
</name>
<name>
<surname>Rossi</surname> <given-names>V</given-names>
</name>
<name>
<surname>Zoli</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Spleen Enlargement on Follow-Up Evaluation: A Noninvasive Predictor of Complications of Portal Hypertension in Cirrhosis</article-title>. <source>Clin Gastroenterol Hepatol</source> (<year>2008</year>) <volume>6</volume>(<issue>10</issue>):<page-range>1129&#x2013;34</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.cgh.2008.05.004</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lim</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kow</surname> <given-names>AW</given-names>
</name>
</person-group>. <article-title>CT Volumetry of the Liver: Where Does it Stand in Clinical Practice</article-title>? <source>Clin Radiol</source> (<year>2014</year>) <volume>69</volume>(<issue>9</issue>):<page-range>887&#x2013;95</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.crad.2013.12.021</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zou</surname> <given-names>H</given-names>
</name>
<name>
<surname>Tao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>ZM</given-names>
</name>
</person-group>. <article-title>Integration of Child-Pugh Score With Future Liver Remnant Yields Improved Prediction of Liver Dysfunction Risk for HBV-related Hepatocellular Carcinoma Following Hepatic Resection</article-title>. <source>Oncol Lett</source> (<year>2017</year>) <volume>13</volume>(<issue>5</issue>):<page-range>3631&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.3892/ol.2017.5919</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wigmore</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Redhead</surname> <given-names>DN</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>XJ</given-names>
</name>
<name>
<surname>Casey</surname> <given-names>J</given-names>
</name>
<name>
<surname>Madhavan</surname> <given-names>K</given-names>
</name>
<name>
<surname>Dejong</surname> <given-names>CH</given-names>
</name>
<etal/>
</person-group>. <article-title>Virtual Hepatic Resection Using Three-Dimensional Reconstruction of Helical Computed Tomography Angioportograms</article-title>. <source>Ann Surg</source> (<year>2001</year>) <volume>233</volume>(<issue>2</issue>):<page-range>221&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.1097/00000658-200102000-00011</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>WX</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>XT</given-names>
</name>
<name>
<surname>Chai</surname> <given-names>WM</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>NY</given-names>
</name>
<name>
<surname>Du</surname> <given-names>LJ</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Hepatitis B Virus-Induced Liver Fibrosis and Cirrhosis: The Value of Liver and Spleen Volumetry With Multi-Detector Spiral Computed Tomography</article-title>. <source>J Dig Dis</source> (<year>2010</year>) <volume>11</volume>(<issue>4</issue>):<page-range>215&#x2013;23</page-range>. doi: <pub-id pub-id-type="doi">10.1111/j.1751-2980.2010.00441.x</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Iasonos</surname> <given-names>A</given-names>
</name>
<name>
<surname>Schrag</surname> <given-names>D</given-names>
</name>
<name>
<surname>Raj</surname> <given-names>GV</given-names>
</name>
<name>
<surname>Panageas</surname> <given-names>KS</given-names>
</name>
</person-group>. <article-title>How to Build and Interpret a Nomogram for Cancer Prognosis</article-title>. <source>J Clin Oncol</source> (<year>2008</year>) <volume>26</volume>(<issue>8</issue>):<page-range>1364&#x2013;70</page-range>. doi: <pub-id pub-id-type="doi">10.1200/JCO.2007.12.9791</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname> <given-names>W</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>B</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Qiu</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Nomogram to Predict Survival of Patients With Recurrence of Hepatocellular Carcinoma After Surgery</article-title>. <source>Clin Gastroenterol Hepatol</source> (<year>2018</year>) <volume>16</volume>(<issue>5</issue>):<fpage>756</fpage>&#x2013;<lpage>64 e10</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cgh.2017.12.002</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tabrizian</surname> <given-names>P</given-names>
</name>
<name>
<surname>Jibara</surname> <given-names>G</given-names>
</name>
<name>
<surname>Shrager</surname> <given-names>B</given-names>
</name>
<name>
<surname>Schwartz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Roayaie</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Recurrence of Hepatocellular Cancer After Resection: Patterns, Treatments, and Prognosis</article-title>. <source>Ann Surg</source> (<year>2015</year>) <volume>261</volume>(<issue>5</issue>):<page-range>947&#x2013;55</page-range>. doi: <pub-id pub-id-type="doi">10.1097/SLA.0000000000000710</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hameed</surname> <given-names>B</given-names>
</name>
<name>
<surname>Mehta</surname> <given-names>N</given-names>
</name>
<name>
<surname>Sapisochin</surname> <given-names>G</given-names>
</name>
<name>
<surname>Roberts</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Yao</surname> <given-names>FY</given-names>
</name>
</person-group>. <article-title>Alpha-Fetoprotein Level &gt; 1000 Ng/Ml as an Exclusion Criterion for Liver Transplantation in Patients With Hepatocellular Carcinoma Meeting the Milan Criteria</article-title>. <source>Liver Transpl</source> (<year>2014</year>) <volume>20</volume>(<issue>8</issue>):<page-range>945&#x2013;51</page-range>. doi: <pub-id pub-id-type="doi">10.1002/lt.23904</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ding</surname> <given-names>HF</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>XF</given-names>
</name>
<name>
<surname>Bagante</surname> <given-names>F</given-names>
</name>
<name>
<surname>Ratti</surname> <given-names>F</given-names>
</name>
<name>
<surname>Marques</surname> <given-names>HP</given-names>
</name>
<name>
<surname>Soubrane</surname> <given-names>O</given-names>
</name>
<etal/>
</person-group>. <article-title>Prediction of Tumor Recurrence by Alpha-Fetoprotein Model After Curative Resection for Hepatocellular Carcinoma</article-title>. <source>Eur J Surg Oncol</source> (<year>2021</year>) <volume>47</volume>(<issue>3 Pt B</issue>):<page-range>660&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.ejso.2020.10.017</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jonas</surname> <given-names>S</given-names>
</name>
<name>
<surname>Bechstein</surname> <given-names>WO</given-names>
</name>
<name>
<surname>Steinmuller</surname> <given-names>T</given-names>
</name>
<name>
<surname>Herrmann</surname> <given-names>M</given-names>
</name>
<name>
<surname>Radke</surname> <given-names>C</given-names>
</name>
<name>
<surname>Berg</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Vascular Invasion and Histopathologic Grading Determine Outcome After Liver Transplantation for Hepatocellular Carcinoma in Cirrhosis</article-title>. <source>Hepatology</source> (<year>2001</year>) <volume>33</volume>(<issue>5</issue>):<page-range>1080&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.1053/jhep.2001.23561</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Roayaie</surname> <given-names>S</given-names>
</name>
<name>
<surname>Blume</surname> <given-names>IN</given-names>
</name>
<name>
<surname>Thung</surname> <given-names>SN</given-names>
</name>
<name>
<surname>Guido</surname> <given-names>M</given-names>
</name>
<name>
<surname>Fiel</surname> <given-names>MI</given-names>
</name>
<name>
<surname>Hiotis</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>A System of Classifying Microvascular Invasion to Predict Outcome After Resection in Patients With Hepatocellular Carcinoma</article-title>. <source>Gastroenterology</source> (<year>2009</year>) <volume>137</volume>(<issue>3</issue>):<page-range>850&#x2013;5</page-range>. doi: <pub-id pub-id-type="doi">10.1053/j.gastro.2009.06.003</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Okusaka</surname> <given-names>T</given-names>
</name>
<name>
<surname>Okada</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ueno</surname> <given-names>H</given-names>
</name>
<name>
<surname>Ikeda</surname> <given-names>M</given-names>
</name>
<name>
<surname>Shimada</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yamamoto</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Satellite Lesions in Patients With Small Hepatocellular Carcinoma With Reference to Clinicopathologic Features</article-title>. <source>Cancer</source> (<year>2002</year>) <volume>95</volume>(<issue>9</issue>):<page-range>1931&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1002/cncr.10892</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lim</surname> <given-names>C</given-names>
</name>
<name>
<surname>Mise</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sakamoto</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yamamoto</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shindoh</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ishizawa</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Above 5&#xa0;Cm, Size Does Not Matter Anymore in Patients With Hepatocellular Carcinoma</article-title>. <source>World J Surg</source> (<year>2014</year>) <volume>38</volume>(<issue>11</issue>):<page-range>2910&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s00268-014-2704-y</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meniconi</surname> <given-names>RL</given-names>
</name>
<name>
<surname>Komatsu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Perdigao</surname> <given-names>F</given-names>
</name>
<name>
<surname>Boelle</surname> <given-names>PY</given-names>
</name>
<name>
<surname>Soubrane</surname> <given-names>O</given-names>
</name>
<name>
<surname>Scatton</surname> <given-names>O</given-names>
</name>
</person-group>. <article-title>Recurrent Hepatocellular Carcinoma: A Western Strategy That Emphasizes the Impact of Pathologic Profile of the First Resection</article-title>. <source>Surgery</source> (<year>2015</year>) <volume>157</volume>(<issue>3</issue>):<page-range>454&#x2013;62</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.surg.2014.10.011</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Llovet</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Bru</surname> <given-names>C</given-names>
</name>
<name>
<surname>Bruix</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Prognosis of Hepatocellular Carcinoma: The BCLC Staging Classification</article-title>. <source>Semin Liver Dis</source> (<year>1999</year>) <volume>19</volume>(<issue>3</issue>):<page-range>329&#x2013;38</page-range>. doi: <pub-id pub-id-type="doi">10.1055/s-2007-1007122</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Llovet</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Zucman-Rossi</surname> <given-names>J</given-names>
</name>
<name>
<surname>Pikarsky</surname> <given-names>E</given-names>
</name>
<name>
<surname>Sangro</surname> <given-names>B</given-names>
</name>
<name>
<surname>Schwartz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sherman</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Hepatocellular Carcinoma</article-title>. <source>Nat Rev Dis Primers</source> (<year>2016</year>) <volume>2</volume>:<fpage>16018</fpage>. doi: <pub-id pub-id-type="doi">10.1038/nrdp.2016.18</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhong</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Ke</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Gong</surname> <given-names>WF</given-names>
</name>
<name>
<surname>Xiang</surname> <given-names>BD</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>L</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>XP</given-names>
</name>
<etal/>
</person-group>. <article-title>Hepatic Resection Associated With Good Survival for Selected Patients With Intermediate and Advanced-Stage Hepatocellular Carcinoma</article-title>. <source>Ann Surg</source> (<year>2014</year>) <volume>260</volume>(<issue>2</issue>):<page-range>329&#x2013;40</page-range>. doi: <pub-id pub-id-type="doi">10.1097/SLA.0000000000000236</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tsilimigras</surname> <given-names>DI</given-names>
</name>
<name>
<surname>Bagante</surname> <given-names>F</given-names>
</name>
<name>
<surname>Sahara</surname> <given-names>K</given-names>
</name>
<name>
<surname>Moris</surname> <given-names>D</given-names>
</name>
<name>
<surname>Hyer</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Prognosis After Resection of Barcelona Clinic Liver Cancer (Bclc) Stage 0, A, and B Hepatocellular Carcinoma: A Comprehensive Assessment of the Current Bclc Classification</article-title>. <source>Ann Surg Oncol</source> (<year>2019</year>) <volume>26</volume>(<issue>11</issue>):<page-range>3693&#x2013;700</page-range>. doi: <pub-id pub-id-type="doi">10.1245/s10434-019-07580-9</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname> <given-names>KS</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>SU</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>GH</given-names>
</name>
<name>
<surname>Park</surname> <given-names>JY</given-names>
</name>
<name>
<surname>Park</surname> <given-names>YN</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>DY</given-names>
</name>
<etal/>
</person-group>. <article-title>Prediction of Recurrence After Curative Resection of Hepatocellular Carcinoma Using Liver Stiffness Measurement (Fibroscan(R))</article-title>. <source>Ann Surg Oncol</source> (<year>2012</year>) <volume>19</volume>(<issue>13</issue>):<page-range>4278&#x2013;86</page-range>. doi: <pub-id pub-id-type="doi">10.1245/s10434-012-2422-3</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ripoll</surname> <given-names>C</given-names>
</name>
<name>
<surname>Groszmann</surname> <given-names>RJ</given-names>
</name>
<name>
<surname>Garcia-Tsao</surname> <given-names>G</given-names>
</name>
<name>
<surname>Bosch</surname> <given-names>J</given-names>
</name>
<name>
<surname>Grace</surname> <given-names>N</given-names>
</name>
<name>
<surname>Burroughs</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Hepatic Venous Pressure Gradient Predicts Development of Hepatocellular Carcinoma Independently of Severity of Cirrhosis</article-title>. <source>J Hepatol</source> (<year>2009</year>) <volume>50</volume>(<issue>5</issue>):<page-range>923&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.jhep.2009.01.014</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Berzigotti</surname> <given-names>A</given-names>
</name>
<name>
<surname>Seijo</surname> <given-names>S</given-names>
</name>
<name>
<surname>Arena</surname> <given-names>U</given-names>
</name>
<name>
<surname>Abraldes</surname> <given-names>JG</given-names>
</name>
<name>
<surname>Vizzutti</surname> <given-names>F</given-names>
</name>
<name>
<surname>Garcia-Pagan</surname> <given-names>JC</given-names>
</name>
<etal/>
</person-group>. <article-title>Elastography, Spleen Size, and Platelet Count Identify Portal Hypertension in Patients With Compensated Cirrhosis</article-title>. <source>Gastroenterology</source> (<year>2013</year>) <volume>144</volume>(<issue>1</issue>):<fpage>102</fpage>&#x2013;<lpage>11 e1</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.gastro.2012.10.001</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pozo</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Godfrey</surname> <given-names>EM</given-names>
</name>
<name>
<surname>Bowles</surname> <given-names>KM</given-names>
</name>
</person-group>. <article-title>Splenomegaly: Investigation, Diagnosis and Management</article-title>. <source>Blood Rev</source> (<year>2009</year>) <volume>23</volume>(<issue>3</issue>):<page-range>105&#x2013;11</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.blre.2008.10.001</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Takeishi</surname> <given-names>K</given-names>
</name>
<name>
<surname>Kawanaka</surname> <given-names>H</given-names>
</name>
<name>
<surname>Itoh</surname> <given-names>S</given-names>
</name>
<name>
<surname>Harimoto</surname> <given-names>N</given-names>
</name>
<name>
<surname>Ikegami</surname> <given-names>T</given-names>
</name>
<name>
<surname>Yoshizumi</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Impact of Splenic Volume and Splenectomy on Prognosis of Hepatocellular Carcinoma Within Milan Criteria After Curative Hepatectomy</article-title>. <source>World J Surg</source> (<year>2018</year>) <volume>42</volume>(<issue>4</issue>):<page-range>1120&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s00268-017-4232-z</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bae</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>DH</given-names>
</name>
<name>
<surname>Yoo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yi</surname> <given-names>NJ</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>KW</given-names>
</name>
<name>
<surname>Suh</surname> <given-names>KS</given-names>
</name>
<etal/>
</person-group>. <article-title>Association Between Spleen Volume and the Post-Hepatectomy Liver Failure and Overall Survival of Patients With Hepatocellular Carcinoma After Resection</article-title>. <source>Eur Radiol</source> (<year>2021</year>) <volume>31</volume>(<issue>4</issue>):<page-range>2461&#x2013;71</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s00330-020-07313-7</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Peng</surname> <given-names>W</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>XY</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wen</surname> <given-names>TF</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>LN</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>JY</given-names>
</name>
</person-group>. <article-title>Spleen Stiffness and Volume Help to Predict Posthepatectomy Liver Failure in Patients With Hepatocellular Carcinoma</article-title>. <source>Med (Baltimore)</source> (<year>2019</year>) <volume>98</volume>(<issue>18</issue>):<fpage>e15458</fpage>. doi: <pub-id pub-id-type="doi">10.1097/MD.0000000000015458</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hashimoto</surname> <given-names>N</given-names>
</name>
<name>
<surname>Shimoda</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kawanaka</surname> <given-names>H</given-names>
</name>
<name>
<surname>Tsuneyama</surname> <given-names>K</given-names>
</name>
<name>
<surname>Uehara</surname> <given-names>H</given-names>
</name>
<name>
<surname>Akahoshi</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Modulation of CD4(+) T Cell Responses Following Splenectomy in Hepatitis C Virus-Related Liver Cirrhosis</article-title>. <source>Clin Exp Immunol</source> (<year>2011</year>) <volume>165</volume>(<issue>2</issue>):<page-range>243&#x2013;50</page-range>. doi: <pub-id pub-id-type="doi">10.1111/j.1365-2249.2011.04393.x</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruter</surname> <given-names>J</given-names>
</name>
<name>
<surname>Barnett</surname> <given-names>BG</given-names>
</name>
<name>
<surname>Kryczek</surname> <given-names>I</given-names>
</name>
<name>
<surname>Brumlik</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Daniel</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Coukos</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Altering Regulatory T Cell Function in Cancer Immunotherapy: A Novel Means to Boost the Efficacy of Cancer Vaccines</article-title>. <source>Front Biosci (Landmark Ed)</source> (<year>2009</year>) <volume>14</volume>:<page-range>1761&#x2013;70</page-range>. doi: <pub-id pub-id-type="doi">10.2741/3338</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Majno</surname> <given-names>PE</given-names>
</name>
<name>
<surname>Sarasin</surname> <given-names>FP</given-names>
</name>
<name>
<surname>Mentha</surname> <given-names>G</given-names>
</name>
<name>
<surname>Hadengue</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Primary Liver Resection and Salvage Transplantation or Primary Liver Transplantation in Patients With Single, Small Hepatocellular Carcinoma and Preserved Liver Function: An Outcome-Oriented Decision Analysis</article-title>. <source>Hepatology</source> (<year>2000</year>) <volume>31</volume>(<issue>4</issue>):<fpage>899</fpage>&#x2013;<lpage>906</lpage>. doi: <pub-id pub-id-type="doi">10.1053/he.2000.5763</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Prassopoulos</surname> <given-names>P</given-names>
</name>
<name>
<surname>Daskalogiannaki</surname> <given-names>M</given-names>
</name>
<name>
<surname>Raissaki</surname> <given-names>M</given-names>
</name>
<name>
<surname>Hatjidakis</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gourtsoyiannis</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Determination of Normal Splenic Volume on Computed Tomography in Relation to Age, Gender and Body Habitus</article-title>. <source>Eur Radiol</source> (<year>1997</year>) <volume>7</volume>(<issue>2</issue>):<page-range>246&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s003300050145</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>