{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T23:17:01Z","timestamp":1784935021117,"version":"3.55.0"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T00:00:00Z","timestamp":1680566400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T00:00:00Z","timestamp":1680566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100002858","name":"Postdoctoral Science Foundation of China","doi-asserted-by":"crossref","award":["2021M701811"],"award-info":[{"award-number":["2021M701811"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"Postdoctoral Science Foundation of China","doi-asserted-by":"crossref","award":["2018M642617"],"award-info":[{"award-number":["2018M642617"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-023-09591-3","type":"journal-article","created":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T10:39:14Z","timestamp":1680604754000},"page":"6608-6618","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Incremental value of radiomics-based heterogeneity to the existing risk criteria in predicting recurrence of hepatocellular carcinoma after liver transplantation"],"prefix":"10.1007","volume":"33","author":[{"given":"Pei","family":"Nie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juntao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjie","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaofeng","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tongyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ju","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinyang","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ran","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ximing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangjie","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Rao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenguang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,4,4]]},"reference":[{"key":"9591_CR1","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1080\/17474124.2020.1791704","volume":"14","author":"M Finotti","year":"2020","unstructured":"Finotti M, Vitale A, Volk M, Cillo U (2020) A 2020 update on liver transplant for hepatocellular carcinoma. Expert Rev Gastroenterol Hepatol 14:885\u2013900","journal-title":"Expert Rev Gastroenterol Hepatol"},{"key":"9591_CR2","doi-asserted-by":"publisher","first-page":"1778","DOI":"10.1097\/TP.0000000000003434","volume":"105","author":"N El-Domiaty","year":"2021","unstructured":"El-Domiaty N, Saliba F, Vibert E et al (2021) Early versus late hepatocellular carcinoma recurrence after transplantation: predictive factors, patterns, and long-term outcome. Transplantation 105:1778\u20131790","journal-title":"Transplantation"},{"key":"9591_CR3","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1080\/17474124.2021.1823213","volume":"15","author":"D Hoffman","year":"2021","unstructured":"Hoffman D, Mehta N (2021) Recurrence of hepatocellular carcinoma following liver transplantation. Expert Rev Gastroenterol Hepatol 15:91\u2013102","journal-title":"Expert Rev Gastroenterol Hepatol"},{"key":"9591_CR4","doi-asserted-by":"publisher","first-page":"1975","DOI":"10.1016\/j.transproceed.2021.05.007","volume":"2021","author":"S Aziz","year":"2021","unstructured":"Aziz S, Sey M, Marotta P et al (2021) Recurrent hepatocellular carcinoma after liver transplantation: validation of a pathologic risk score on explanted livers to predict recurrence. Transplant Proc 2021:1975\u20131979","journal-title":"Transplant Proc"},{"issue":"Suppl 1","key":"9591_CR5","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1111\/liv.14346","volume":"40","author":"B Kim","year":"2020","unstructured":"Kim B, Kahn J, Terrault NA (2020) Liver transplantation as therapy for hepatocellular carcinoma. Liver Int 40(Suppl 1):116\u2013121","journal-title":"Liver Int"},{"key":"9591_CR6","doi-asserted-by":"publisher","first-page":"1124","DOI":"10.1097\/SLA.0000000000003176","volume":"271","author":"M Grat","year":"2020","unstructured":"Grat M, Stypulkowski J, Morawski M et al (2020) Shadows behind using simple risk models in selection of hepatocellular carcinoma patients for liver transplantation. Ann Surg 271:1124\u20131131","journal-title":"Ann Surg"},{"key":"9591_CR7","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.jhep.2019.11.017","volume":"72","author":"E Vibert","year":"2020","unstructured":"Vibert E, Schwartz M, Olthoff KM (2020) Advances in resection and transplantation for hepatocellular carcinoma. J Hepatol 72:262\u2013276","journal-title":"J Hepatol"},{"key":"9591_CR8","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.suronc.2019.10.006","volume":"33","author":"H Degroote","year":"2020","unstructured":"Degroote H, Callebout E, Iesari S et al (2020) Extended criteria for liver transplantation in hepatocellular carcinoma. A retrospective, multicentric validation study in Belgium. Surg Oncol 33:231\u2013238","journal-title":"Surg Oncol"},{"key":"9591_CR9","doi-asserted-by":"publisher","first-page":"838","DOI":"10.1177\/2050640619840221","volume":"7","author":"F Foerster","year":"2019","unstructured":"Foerster F, Hoppe-Lotichius M, Vollmar J et al (2019) Long-term observation of hepatocellular carcinoma recurrence after liver transplantation at a European transplantation centre. United European Gastroenterol J 7:838\u2013849","journal-title":"United European Gastroenterol J"},{"key":"9591_CR10","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1016\/j.hbpd.2020.06.008","volume":"19","author":"MX Wang","year":"2020","unstructured":"Wang MX, Chen D, Zhao YY et al (2020) Role of selected criteria and preventive chemotherapy in tumor recurrence after liver transplantation. Hepatobiliary Pancreat Dis Int 19:378\u2013383","journal-title":"Hepatobiliary Pancreat Dis Int"},{"key":"9591_CR11","doi-asserted-by":"publisher","DOI":"10.21037\/tgh.2020.01.06","author":"JH Bento de Sousa","year":"2021","unstructured":"Bento de Sousa JH, Calil IL, Tustumi F et al (2021) Comparison between Milan and UCSF criteria for liver transplantation in patients with hepatocellular carcinoma: a systematic review and meta-analysis. Transl Gastroenterol Hepatol. https:\/\/doi.org\/10.21037\/tgh.2020.01.06","journal-title":"Transl Gastroenterol Hepatol"},{"key":"9591_CR12","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1007\/s00423-018-1696-8","volume":"403","author":"Z Qu","year":"2018","unstructured":"Qu Z, Ling Q, Gwiasda J et al (2018) Hangzhou criteria are more accurate than Milan criteria in predicting long-term survival after liver transplantation for HCC in Germany. Langenbecks Arch Surg 403:643\u2013654","journal-title":"Langenbecks Arch Surg"},{"key":"9591_CR13","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1053\/j.gastro.2017.09.025","volume":"154","author":"V Mazzaferro","year":"2018","unstructured":"Mazzaferro V, Sposito C, Zhou J et al (2018) Metroticket 2.0 model for analysis of competing risks of death after liver transplantation for hepatocellular carcinoma. Gastroenterology 154:128\u2013139","journal-title":"Gastroenterology"},{"key":"9591_CR14","doi-asserted-by":"publisher","DOI":"10.1111\/ctr.13703","volume":"33","author":"SK Hong","year":"2019","unstructured":"Hong SK, Lee KW, Yoon KC et al (2019) Different prognostic factors and strategies for early and late recurrence after adult living donor liver transplantation for hepatocellular carcinoma. Clin Transplant 33:e13703","journal-title":"Clin Transplant"},{"key":"9591_CR15","doi-asserted-by":"publisher","first-page":"1206","DOI":"10.1111\/ajt.14549","volume":"18","author":"N Mehta","year":"2018","unstructured":"Mehta N, Dodge JL, Roberts JP, Yao FY (2018) Validation of the prognostic power of the RETREAT score for hepatocellular carcinoma recurrence using the UNOS database. Am J Transplant 18:1206\u20131213","journal-title":"Am J Transplant"},{"key":"9591_CR16","doi-asserted-by":"crossref","unstructured":"Sarobe P, Corrales F (2019) Getting insights into hepatocellular carcinoma tumour heterogeneity by multiomics dissection. Gu 68:1913\u20131914.","DOI":"10.1136\/gutjnl-2019-319410"},{"key":"9591_CR17","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1002\/hep.31555","volume":"73","author":"JS Morris","year":"2021","unstructured":"Morris JS, Hassan MM, Zohner YE et al (2021) HepatoScore-14: measures of biological heterogeneity significantly improve prediction of hepatocellular carcinoma risk. Hepatology 73:2278\u20132292","journal-title":"Hepatology"},{"key":"9591_CR18","doi-asserted-by":"crossref","unstructured":"Lewis S, Hectors S, Taouli B (2021) Radiomics of hepatocellular carcinoma. Abdom Radiol (NY) 46:111-123.","DOI":"10.1007\/s00261-019-02378-5"},{"key":"9591_CR19","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1055\/s-0039-1693512","volume":"40","author":"J Rimola","year":"2020","unstructured":"Rimola J (2020) Heterogeneity of hepatocellular carcinoma on imaging. Semin Liver Dis 40:61\u201369","journal-title":"Semin Liver Dis"},{"key":"9591_CR20","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1097\/PPO.0000000000000435","volume":"26","author":"M Bell","year":"2020","unstructured":"Bell M, Turkbey EB, Escorcia FE (2020) Radiomics, radiogenomics, and next-generation molecular imaging to augment diagnosis of hepatocellular carcinoma. Cancer J 26:108\u2013115","journal-title":"Cancer J"},{"key":"9591_CR21","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1016\/j.jhep.2019.02.023","volume":"70","author":"X Xu","year":"2019","unstructured":"Xu X, Zhang HL, Liu QP et al (2019) Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma. J Hepatol 70:1133\u20131144","journal-title":"J Hepatol"},{"key":"9591_CR22","doi-asserted-by":"publisher","first-page":"3595","DOI":"10.1007\/s00330-018-5985-y","volume":"29","author":"X Ma","year":"2019","unstructured":"Ma X, Wei J, Gu D et al (2019) Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT. Eur Radiol 29:3595\u20133605","journal-title":"Eur Radiol"},{"key":"9591_CR23","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1148\/radiol.2018171320","volume":"288","author":"S Mul\u00e9","year":"2018","unstructured":"Mul\u00e9 S, Thiefin G, Costentin C et al (2018) Advanced hepatocellular carcinoma: pretreatment contrast-enhanced CT texture parameters as predictive biomarkers of survival in patients treated with sorafenib. Radiology 288:445\u2013455","journal-title":"Radiology"},{"key":"9591_CR24","doi-asserted-by":"publisher","first-page":"3847","DOI":"10.1158\/1078-0432.CCR-18-2861","volume":"25","author":"S Kim","year":"2019","unstructured":"Kim S, Shin J, Kim DY, Choi GH, Kim MJ, Choi JY (2019) Radiomics on gadoxetic acid-enhanced magnetic resonance imaging for prediction of postoperative early and late recurrence of single hepatocellular carcinoma. Clin Cancer Res 25:3847\u20133855","journal-title":"Clin Cancer Res"},{"key":"9591_CR25","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1007\/s00330-018-5679-5","volume":"29","author":"L Brenet Defour","year":"2019","unstructured":"Brenet Defour L, Mul\u00e9 S, Tenenhaus A et al (2019) Hepatocellular carcinoma: CT texture analysis as a predictor of survival after surgical resection. Eur Radiol 29:1231\u20131239","journal-title":"Eur Radiol"},{"key":"9591_CR26","doi-asserted-by":"publisher","first-page":"976","DOI":"10.1007\/s10620-019-05550-5","volume":"64","author":"TW Reichman","year":"2019","unstructured":"Reichman TW, Bhati CS, Battula NR (2019) Obtaining optimal long-term outcomes from liver transplantation for hepatocellular cancer. Dig Dis Sci 64:976\u2013984","journal-title":"Dig Dis Sci"},{"key":"9591_CR27","doi-asserted-by":"crossref","unstructured":"Xu X, Chen J, Wei Q, et al (2019) Clinical practice guidelines on liver transplantation for hepatocellular carcinoma in China (2018 edition). Hepatobiliary Pancreat Dis Int 18:307\u2013312.","DOI":"10.1016\/j.hbpd.2019.06.010"},{"key":"9591_CR28","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s00259-020-04747-5","volume":"48","author":"P Nie","year":"2021","unstructured":"Nie P, Yang G, Wang N et al (2021) Additional value of metabolic parameters to PET\/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma. Eur J Nucl Med Mol Imaging 48:217\u2013230","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"9591_CR29","doi-asserted-by":"publisher","first-page":"1274","DOI":"10.1007\/s00330-019-06427-x","volume":"30","author":"P Nie","year":"2020","unstructured":"Nie P, Yang G, Wang Z et al (2020) A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma. Eur Radiol 30:1274\u20131284","journal-title":"Eur Radiol"},{"issue":"18","key":"9591_CR30","first-page":"30079","volume":"S0039\u20136060","author":"Q Ling","year":"2018","unstructured":"Ling Q, Liu J, Zhuo J et al (2018) Development of models to predict early post-transplant recurrence of hepatocellular carcinoma that also integrate the quality and characteristics of the liver graft: a national registry study in China. Surgery S0039\u20136060(18):30079\u201330085","journal-title":"Surgery"},{"key":"9591_CR31","doi-asserted-by":"publisher","first-page":"2326","DOI":"10.1111\/liv.14621","volume":"40","author":"B Moeckli","year":"2020","unstructured":"Moeckli B, Ivanics T, Claasen M, Toso C, Sapisochin G (2020) Recent developments and ongoing trials in transplant oncology. Liver Int 40:2326\u20132344","journal-title":"Liver Int"},{"key":"9591_CR32","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1002\/lt.25731","volume":"26","author":"J von Felden","year":"2020","unstructured":"von Felden J, Villanueva A (2020) Role of molecular biomarkers in liver transplantation for hepatocellular carcinoma. Liver Transpl 26:823\u2013831","journal-title":"Liver Transpl"},{"key":"9591_CR33","doi-asserted-by":"publisher","first-page":"367","DOI":"10.3390\/cancers10100367","volume":"10","author":"N Nishida","year":"2018","unstructured":"Nishida N, Nishimura T, Kaido T et al (2018) Molecular scoring of hepatocellular carcinoma for predicting metastatic recurrence and requirements of systemic chemotherapy. Cancers (Basel) 10:367","journal-title":"Cancers (Basel)"},{"key":"9591_CR34","doi-asserted-by":"publisher","first-page":"1368","DOI":"10.1016\/j.jhep.2015.07.025","volume":"63","author":"O Miltiadous","year":"2015","unstructured":"Miltiadous O, Sia D, Hoshida Y et al (2015) Progenitor cell markers predict outcome of patients with hepatocellular carcinoma beyond Milan criteria undergoing liver transplantation. J Hepatol 63:1368\u20131377","journal-title":"J Hepatol"},{"key":"9591_CR35","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1002\/lt.24400","volume":"22","author":"K Morita","year":"2016","unstructured":"Morita K, Shirabe K, Taketomi A et al (2016) Relevance of microRNA-18a and microRNA-199a-5p to hepatocellular carcinoma recurrence after living donor liver transplantation. Liver Transpl 22:665\u2013676","journal-title":"Liver Transpl"},{"key":"9591_CR36","doi-asserted-by":"publisher","first-page":"3089","DOI":"10.1007\/s00261-019-02109-w","volume":"44","author":"YS Xu","year":"2019","unstructured":"Xu YS, Liu HF, Xi DL et al (2019) Whole-lesion histogram analysis metrics of the apparent diffusion coefficient: a correlation study with histological grade of hepatocellular carcinoma. Abdom Radiol (NY) 44:3089\u20133098","journal-title":"Abdom Radiol (NY)"},{"key":"9591_CR37","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aaa609","volume":"63","author":"W Xia","year":"2018","unstructured":"Xia W, Chen Y, Zhang R et al (2018) Radiogenomics of hepatocellular carcinoma: multiregion analysis-based identification of prognostic imaging biomarkers by integrating gene data-a preliminary study. Phys Med Biol 63:035044","journal-title":"Phys Med Biol"},{"key":"9591_CR38","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.ejrad.2019.05.010","volume":"117","author":"D Guo","year":"2019","unstructured":"Guo D, Gu D, Wang H et al (2019) Radiomics analysis enables recurrence prediction for hepatocellular carcinoma after liver transplantation. Eur J Radiol 117:33\u201340","journal-title":"Eur J Radiol"},{"key":"9591_CR39","doi-asserted-by":"publisher","first-page":"2435","DOI":"10.1097\/TP.0000000000003605","volume":"105","author":"T Ivanics","year":"2021","unstructured":"Ivanics T, Salinas-Miranda E, Abreu P et al (2021) A pre-TACE radiomics model to predict HCC progression and recurrence in liver transplantation: a pilot study on a novel biomarker. Transplantation 105:2435\u20132444","journal-title":"Transplantation"},{"key":"9591_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2021.101894","volume":"89","author":"T He","year":"2021","unstructured":"He T, Fong JN, Moore LW et al (2021) An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer. Comput Med Imaging Graph 89:101894","journal-title":"Comput Med Imaging Graph"},{"key":"9591_CR41","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s00330-019-06360-z","volume":"30","author":"JE Park","year":"2020","unstructured":"Park JE, Kim D, Kim HS et al (2020) Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement. Eur Radiol 30:523\u2013536","journal-title":"Eur Radiol"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-023-09591-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-023-09591-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-023-09591-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T15:09:35Z","timestamp":1691680175000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-023-09591-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,4]]},"references-count":41,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2023,9]]}},"alternative-id":["9591"],"URL":"https:\/\/doi.org\/10.1007\/s00330-023-09591-3","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,4]]},"assertion":[{"value":"16 September 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 January 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 February 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 April 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The scientific guarantor of this publication is Zhenguang Wang.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"Juntao Zhang and Shaofeng Duan are employees of GE Healthcare, China. Ran Zhang is an employee of Huiying Medical Technology Co. Ltd, China. They contributed to the statistical analysis of the study. None of their work had relationship to the products or services of their companies, and to the final conclusion and the publication of the article. Other authors declare no conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Three of the authors have significant statistical expertise.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was waived by the Institutional Review Board.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Institutional Review Board approval was obtained.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"\u2022 retrospective\u2022 diagnostic or prognostic study\u2022 multicenter study","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}