{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T19:09:34Z","timestamp":1792782574619,"version":"4.5.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:00:00Z","timestamp":1791590400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:00:00Z","timestamp":1791590400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Clinical Medical Research Center Project of Jiangxi Province","award":["Grant No. 20223BCG74001"],"award-info":[{"award-number":["Grant No. 20223BCG74001"]}]},{"name":"the Project of Jiangxi Provincial Health Commission","award":["Grant No. 202610023"],"award-info":[{"award-number":["Grant No. 202610023"]}],"id":[{"id":"https:\/\/ror.org\/03vc7fb96","id-type":"ROR","asserted-by":"crossref"}]},{"name":"the Key Laboratory of Precision Pathology and Intelligent Diagnosis of Jiangxi Province","award":["Grant No. 2024SSY06281"],"award-info":[{"award-number":["Grant No. 2024SSY06281"]}]},{"name":"the Science and Technology Research Project of the Education Department of Jiangxi Province","award":["Grant No. GJJ2200110"],"award-info":[{"award-number":["Grant No. GJJ2200110"]}],"id":[{"id":"https:\/\/ror.org\/04d8xwh61","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Abdom Radiol"],"DOI":"10.1007\/s00261-026-05788-4","type":"journal-article","created":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T21:44:11Z","timestamp":1791668651000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CT radiomics and topology-based intratumoral heterogeneity for preoperative prediction of nuclear \u03b2-catenin expression in hepatocellular carcinoma"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7867-3246","authenticated-orcid":false,"given":"Yongming","family":"Tan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siya","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8537-7924","authenticated-orcid":false,"given":"Weiwei","family":"Liao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ru","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minghui","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weijia","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianwei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,10,10]]},"reference":[{"issue":"3","key":"5788_CR1","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3322\/caac.21834","volume":"74","author":"F Bray","year":"2024","unstructured":"Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229-63. https:\/\/doi.org\/10.3322\/caac.21834.","journal-title":"CA Cancer J Clin."},{"issue":"1","key":"5788_CR2","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1038\/s41572-020-00240-3","volume":"7","author":"JM Llovet","year":"2021","unstructured":"Llovet JM, Kelley RK, Villanueva A, Singal AG, Pikarsky E, Roayaie S, et al. Hepatocellular carcinoma. Nat Rev Dis Primers. 2021;7(1):6. https:\/\/doi.org\/10.1038\/s41572-020-00240-3.","journal-title":"Hepatocellular carcinoma. Nat Rev Dis Primers."},{"issue":"15","key":"5788_CR3","doi-asserted-by":"publisher","first-page":"1450","DOI":"10.1056\/NEJMra1713263","volume":"380","author":"A Villanueva","year":"2019","unstructured":"Villanueva A. Hepatocellular Carcinoma. N Engl J Med. 2019;380(15):1450-62. https:\/\/doi.org\/10.1056\/NEJMra1713263.","journal-title":"N Engl J Med."},{"issue":"7","key":"5788_CR4","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1016\/j.cell.2017.05.046","volume":"169","author":"Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma","year":"2017","unstructured":"Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma. Cell. 2017;169(7):1327-41.e23. https:\/\/doi.org\/10.1016\/j.cell.2017.05.046.","journal-title":"Cell."},{"issue":"2","key":"5788_CR5","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.jhep.2019.08.017","volume":"72","author":"S Rebouissou","year":"2020","unstructured":"Rebouissou S, Nault JC. Advances in molecular classification and precision oncology in hepatocellular carcinoma. J Hepatol. 2020;72(2):215-29. https:\/\/doi.org\/10.1016\/j.jhep.2019.08.017.","journal-title":"J Hepatol."},{"key":"5788_CR6","doi-asserted-by":"publisher","unstructured":"Xu C, Xu Z, Zhang Y, Evert M, Calvisi DF, Chen X. \u03b2-Catenin signaling in hepatocellular carcinoma. J Clin Invest. 2022;132(4). https:\/\/doi.org\/10.1172\/jci154515.","DOI":"10.1172\/jci154515"},{"issue":"6","key":"5788_CR7","doi-asserted-by":"publisher","first-page":"2047","DOI":"10.1002\/hep.28638","volume":"64","author":"S Rebouissou","year":"2016","unstructured":"Rebouissou S, Franconi A, Calderaro J, Letouz\u00e9 E, Imbeaud S, Pilati C, et al. Genotype-phenotype correlation of CTNNB1 mutations reveals different \u00df-catenin activity associated with liver tumor progression. Hepatology. 2016;64(6):2047-61. https:\/\/doi.org\/10.1002\/hep.28638.","journal-title":"Hepatology."},{"issue":"18","key":"5788_CR8","doi-asserted-by":"publisher","first-page":"4997","DOI":"10.1158\/1078-0432.Ccr-11-2322","volume":"18","author":"A Lachenmayer","year":"2012","unstructured":"Lachenmayer A, Alsinet C, Savic R, Cabellos L, Toffanin S, Hoshida Y, et al. Wnt-pathway activation in two molecular classes of hepatocellular carcinoma and experimental modulation by sorafenib. Clin Cancer Res. 2012;18(18):4997-5007. https:\/\/doi.org\/10.1158\/1078-0432.Ccr-11-2322.","journal-title":"Clin Cancer Res."},{"key":"5788_CR9","doi-asserted-by":"publisher","unstructured":"Ruiz de Galarreta M, Bresnahan E, Molina-S\u00e1nchez P, Lindblad KE, Maier B, Sia D, et al. \u03b2-Catenin Activation Promotes Immune Escape and Resistance to Anti-PD-1 Therapy in Hepatocellular Carcinoma. Cancer Discov. 2019;9(8):1124\u201341. https:\/\/doi.org\/10.1158\/2159-8290.Cd-19-0074.","DOI":"10.1158\/2159-8290.Cd-19-0074"},{"issue":"10","key":"5788_CR10","doi-asserted-by":"publisher","first-page":"3074","DOI":"10.1158\/1078-0432.Ccr-18-1942","volume":"25","author":"JJ Luke","year":"2019","unstructured":"Luke JJ, Bao R, Sweis RF, Spranger S, Gajewski TF. WNT\/\u03b2-catenin Pathway Activation Correlates with Immune Exclusion across Human Cancers. Clin Cancer Res. 2019;25(10):3074-83. https:\/\/doi.org\/10.1158\/1078-0432.Ccr-18-1942.","journal-title":"Clin Cancer Res."},{"issue":"7","key":"5788_CR11","doi-asserted-by":"publisher","first-page":"2116","DOI":"10.1158\/1078-0432.Ccr-18-2293","volume":"25","author":"JJ Harding","year":"2019","unstructured":"Harding JJ, Nandakumar S, Armenia J, Khalil DN, Albano M, Ly M, et al. Prospective Genotyping of Hepatocellular Carcinoma: Clinical Implications of Next-Generation Sequencing for Matching Patients to Targeted and Immune Therapies. Clin Cancer Res. 2019;25(7):2116-26. https:\/\/doi.org\/10.1158\/1078-0432.Ccr-18-2293.","journal-title":"Clin Cancer Res."},{"issue":"7","key":"5788_CR12","doi-asserted-by":"publisher","first-page":"2021","DOI":"10.1158\/1078-0432.Ccr-18-3778","volume":"25","author":"R Pinyol","year":"2019","unstructured":"Pinyol R, Sia D, Llovet JM. Immune Exclusion-Wnt\/CTNNB1 Class Predicts Resistance to Immunotherapies in HCC. Clin Cancer Res. 2019;25(7):2021-3. https:\/\/doi.org\/10.1158\/1078-0432.Ccr-18-3778.","journal-title":"Clin Cancer Res."},{"issue":"3","key":"5788_CR13","doi-asserted-by":"publisher","first-page":"708","DOI":"10.1148\/radiol.14141315","volume":"275","author":"A Kitao","year":"2015","unstructured":"Kitao A, Matsui O, Yoneda N, Kozaka K, Kobayashi S, Sanada J, et al. Hepatocellular Carcinoma with \u03b2-Catenin Mutation: Imaging and Pathologic Characteristics. Radiology. 2015;275(3):708-17. https:\/\/doi.org\/10.1148\/radiol.14141315.","journal-title":"Radiology."},{"key":"5788_CR14","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2022.916126","volume":"12","author":"F Zeng","year":"2022","unstructured":"Zeng F, Dai H, Li X, Guo L, Jia N, Yang J, et al. Preoperative radiomics model using gadobenate dimeglumine-enhanced magnetic resonance imaging for predicting \u03b2-catenin mutation in patients with hepatocellular carcinoma: A retrospective study. Front Oncol. 2022;12:916126. https:\/\/doi.org\/10.3389\/fonc.2022.916126.","journal-title":"Front Oncol."},{"issue":"7","key":"5788_CR15","doi-asserted-by":"publisher","first-page":"2220","DOI":"10.1007\/s00261-024-04344-2","volume":"49","author":"D Arefan","year":"2024","unstructured":"Arefan D, D'Ardenne NM, Iranpour N, Catania R, Yousef J, Chupetlovska K, et al. Quantitative radiomics and qualitative LI-RADS imaging descriptors for non-invasive assessment of \u03b2-catenin mutation status in hepatocellular carcinoma. Abdom Radiol (NY). 2024;49(7):2220-30. https:\/\/doi.org\/10.1007\/s00261-024-04344-2.","journal-title":"Abdom Radiol (NY)."},{"issue":"6","key":"5788_CR16","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1038\/nbt1306","volume":"25","author":"E Segal","year":"2007","unstructured":"Segal E, Sirlin CB, Ooi C, Adler AS, Gollub J, Chen X, et al. Decoding global gene expression programs in liver cancer by noninvasive imaging. Nat Biotechnol. 2007;25(6):675-80. https:\/\/doi.org\/10.1038\/nbt1306.","journal-title":"Nat Biotechnol."},{"issue":"12","key":"5788_CR17","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","volume":"14","author":"P Lambin","year":"2017","unstructured":"Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14(12):749-62. https:\/\/doi.org\/10.1038\/nrclinonc.2017.141.","journal-title":"Nat Rev Clin Oncol."},{"issue":"2","key":"5788_CR18","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1148\/radiol.2015151169","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology. 2016;278(2):563-77. https:\/\/doi.org\/10.1148\/radiol.2015151169.","journal-title":"They Are Data. Radiology."},{"issue":"3","key":"5788_CR19","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.232047","volume":"309","author":"X Zhang","year":"2023","unstructured":"Zhang X, Su GH, Chen Y, Gu YJ, You C. Decoding Intratumoral Heterogeneity: Clinical Potential of Habitat Imaging based on Radiomics. Radiology. 2023;309(3):e232047. https:\/\/doi.org\/10.1148\/radiol.232047.","journal-title":"Radiology."},{"issue":"2","key":"5788_CR20","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.230118","volume":"6","author":"O Prior","year":"2024","unstructured":"Prior O, Macarro C, Navarro V, Monreal C, Ligero M, Garcia-Ruiz A, et al. Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer. Radiol Artif Intell. 2024;6(2):e230118. https:\/\/doi.org\/10.1148\/ryai.230118.","journal-title":"Radiol Artif Intell."},{"issue":"21","key":"5788_CR21","doi-asserted-by":"publisher","first-page":"e104","DOI":"10.1158\/0008-5472.Can-17-0339","volume":"77","author":"JJM van Griethuysen","year":"2017","unstructured":"van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, et al. Computational Radiomics System to Decode the Radiographic Phenotype. Cancer Res. 2017;77(21):e104-e7. https:\/\/doi.org\/10.1158\/0008-5472.Can-17-0339.","journal-title":"Cancer Res."},{"issue":"2","key":"5788_CR22","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1148\/radiol.2020191145","volume":"295","author":"A Zwanenburg","year":"2020","unstructured":"Zwanenburg A, Valli\u00e8res M, Abdalah MA, Aerts H, Andrearczyk V, Apte A, et al. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology. 2020;295(2):328-38. https:\/\/doi.org\/10.1148\/radiol.2020191145.","journal-title":"Radiology."},{"key":"5788_CR23","doi-asserted-by":"publisher","unstructured":"Lambin P, Woodruff HC, Mali SA, Zhong X, Kuang S, Lavrova E, et al. Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine. Nat Rev Clin Oncol. 2025;22(11):831\u201346. https:\/\/doi.org\/10.1038\/s41571-025-01067-1.","DOI":"10.1038\/s41571-025-01067-1"},{"issue":"4","key":"5788_CR24","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1016\/j.jhep.2017.05.014","volume":"67","author":"J Calderaro","year":"2017","unstructured":"Calderaro J, Couchy G, Imbeaud S, Amaddeo G, Letouz\u00e9 E, Blanc JF, et al. Histological subtypes of hepatocellular carcinoma are related to gene mutations and molecular tumour classification. J Hepatol. 2017;67(4):727-38. https:\/\/doi.org\/10.1016\/j.jhep.2017.05.014.","journal-title":"J Hepatol."},{"issue":"12","key":"5788_CR25","doi-asserted-by":"publisher","first-page":"1871","DOI":"10.1038\/s41416-024-02849-7","volume":"131","author":"C Dantzer","year":"2024","unstructured":"Dantzer C, Dif L, Vach\u00e9 J, Basbous S, Billottet C, Moreau V. Specific features of \u00df-catenin-mutated hepatocellular carcinomas. Br J Cancer. 2024;131(12):1871-80. https:\/\/doi.org\/10.1038\/s41416-024-02849-7.","journal-title":"Br J Cancer."},{"issue":"12","key":"5788_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhepr.2024.101186","volume":"6","author":"BM Lehrich","year":"2024","unstructured":"Lehrich BM, Tao J, Liu S, Hirsch TZ, Yasaka TM, Cao C, et al. Development of mutated \u03b2-catenin gene signature to identify CTNNB1 mutations from whole and spatial transcriptomic data in patients with HCC. JHEP Rep. 2024;6(12):101186. https:\/\/doi.org\/10.1016\/j.jhepr.2024.101186.","journal-title":"JHEP Rep."},{"key":"5788_CR27","doi-asserted-by":"publisher","unstructured":"Sia D, Jiao Y, Martinez-Quetglas I, Kuchuk O, Villacorta-Martin C, Castro de Moura M, et al. Identification of an Immune-specific Class of Hepatocellular Carcinoma, Based on Molecular Features. Gastroenterology. 2017;153(3):812\u201326. https:\/\/doi.org\/10.1053\/j.gastro.2017.06.007.","DOI":"10.1053\/j.gastro.2017.06.007"},{"issue":"3","key":"5788_CR28","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1002\/hep.29904","volume":"68","author":"Y Kurebayashi","year":"2018","unstructured":"Kurebayashi Y, Ojima H, Tsujikawa H, Kubota N, Maehara J, Abe Y, et al. Landscape of immune microenvironment in hepatocellular carcinoma and its additional impact on histological and molecular classification. Hepatology. 2018;68(3):1025-41. https:\/\/doi.org\/10.1002\/hep.29904.","journal-title":"Hepatology."},{"issue":"1","key":"5788_CR29","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1136\/gutjnl-2021-325918","volume":"72","author":"C Montironi","year":"2023","unstructured":"Montironi C, Castet F, Haber PK, Pinyol R, Torres-Martin M, Torrens L, et al. Inflamed and non-inflamed classes of HCC: a revised immunogenomic classification. Gut. 2023;72(1):129-40. https:\/\/doi.org\/10.1136\/gutjnl-2021-325918.","journal-title":"Gut."},{"issue":"8","key":"5788_CR30","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1038\/s41591-022-01868-2","volume":"28","author":"AX Zhu","year":"2022","unstructured":"Zhu AX, Abbas AR, de Galarreta MR, Guan Y, Lu S, Koeppen H, et al. Molecular correlates of clinical response and resistance to atezolizumab in combination with bevacizumab in advanced hepatocellular carcinoma. Nat Med. 2022;28(8):1599-611. https:\/\/doi.org\/10.1038\/s41591-022-01868-2.","journal-title":"Nat Med."},{"issue":"4","key":"5788_CR31","doi-asserted-by":"publisher","first-page":"807","DOI":"10.3350\/cmh.2024.0333","volume":"30","author":"SY Yim","year":"2024","unstructured":"Yim SY, Lee SH, Baek SW, Sohn B, Jeong YS, Kang SH, et al. Genomic biomarkers to predict response to atezolizumab plus bevacizumab immunotherapy in hepatocellular carcinoma: Insights from the IMbrave150 trial. Clin Mol Hepatol. 2024;30(4):807-23. https:\/\/doi.org\/10.3350\/cmh.2024.0333.","journal-title":"Clin Mol Hepatol."},{"issue":"8","key":"5788_CR32","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1038\/s41575-021-00438-0","volume":"18","author":"B Sangro","year":"2021","unstructured":"Sangro B, Sarobe P, Herv\u00e1s-Stubbs S, Melero I. Advances in immunotherapy for hepatocellular carcinoma. Nat Rev Gastroenterol Hepatol. 2021;18(8):525-43. https:\/\/doi.org\/10.1038\/s41575-021-00438-0.","journal-title":"Nat Rev Gastroenterol Hepatol."},{"issue":"5","key":"5788_CR33","doi-asserted-by":"publisher","first-page":"1773","DOI":"10.1002\/hep.32740","volume":"77","author":"R Donne","year":"2023","unstructured":"Donne R, Lujambio A. The liver cancer immune microenvironment: Therapeutic implications for hepatocellular carcinoma. Hepatology. 2023;77(5):1773-96. https:\/\/doi.org\/10.1002\/hep.32740.","journal-title":"Hepatology."},{"key":"5788_CR34","doi-asserted-by":"publisher","first-page":"4006","DOI":"10.1038\/ncomms5006","volume":"5","author":"HJ Aerts","year":"2014","unstructured":"Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006. https:\/\/doi.org\/10.1038\/ncomms5006.","journal-title":"Nat Commun."},{"issue":"1","key":"5788_CR35","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1186\/s12916-019-1466-7","volume":"17","author":"B Van Calster","year":"2019","unstructured":"Van Calster B, McLernon DJ, van Smeden M, Wynants L, Steyerberg EW. Calibration: the Achilles heel of predictive analytics. BMC Med. 2019;17(1):230. https:\/\/doi.org\/10.1186\/s12916-019-1466-7.","journal-title":"BMC Med."},{"key":"5788_CR36","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1186\/1471-2288-14-40","volume":"14","author":"GS Collins","year":"2014","unstructured":"Collins GS, de Groot JA, Dutton S, Omar O, Shanyinde M, Tajar A, et al. External validation of multivariable prediction models: a systematic review of methodological conduct and reporting. BMC Med Res Methodol. 2014;14:40. https:\/\/doi.org\/10.1186\/1471-2288-14-40.","journal-title":"BMC Med Res Methodol."},{"issue":"6","key":"5788_CR37","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1016\/j.eururo.2018.08.038","volume":"74","author":"B Van Calster","year":"2018","unstructured":"Van Calster B, Wynants L, Verbeek JFM, Verbakel JY, Christodoulou E, Vickers AJ, et al. Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators. Eur Urol. 2018;74(6):796-804. https:\/\/doi.org\/10.1016\/j.eururo.2018.08.038.","journal-title":"Eur Urol."},{"issue":"6","key":"5788_CR38","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1177\/0272989x06295361","volume":"26","author":"AJ Vickers","year":"2006","unstructured":"Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006;26(6):565-74. https:\/\/doi.org\/10.1177\/0272989x06295361.","journal-title":"Med Decis Making."},{"issue":"1","key":"5788_CR39","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1038\/s41467-019-14050-z","volume":"11","author":"B Losic","year":"2020","unstructured":"Losic B, Craig AJ, Villacorta-Martin C, Martins-Filho SN, Akers N, Chen X, et al. Intratumoral heterogeneity and clonal evolution in liver cancer. Nat Commun. 2020;11(1):291. https:\/\/doi.org\/10.1038\/s41467-019-14050-z.","journal-title":"Nat Commun."},{"issue":"4","key":"5788_CR40","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1016\/j.ccell.2020.03.007","volume":"37","author":"A Marusyk","year":"2020","unstructured":"Marusyk A, Janiszewska M, Polyak K. Intratumor Heterogeneity: The Rosetta Stone of Therapy Resistance. Cancer Cell. 2020;37(4):471-84. https:\/\/doi.org\/10.1016\/j.ccell.2020.03.007.","journal-title":"Cancer Cell."},{"issue":"12","key":"5788_CR41","doi-asserted-by":"publisher","first-page":"1982","DOI":"10.1038\/s41590-023-01678-9","volume":"24","author":"LA Walsh","year":"2023","unstructured":"Walsh LA, Quail DF. Decoding the tumor microenvironment with spatial technologies. Nat Immunol. 2023;24(12):1982-93. https:\/\/doi.org\/10.1038\/s41590-023-01678-9.","journal-title":"Nat Immunol."},{"issue":"9","key":"5788_CR42","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1038\/s41592-021-01203-6","volume":"18","author":"SM Lewis","year":"2021","unstructured":"Lewis SM, Asselin-Labat ML, Nguyen Q, Berthelet J, Tan X, Wimmer VC, et al. Spatial omics and multiplexed imaging to explore cancer biology. Nat Methods. 2021;18(9):997-1012. https:\/\/doi.org\/10.1038\/s41592-021-01203-6.","journal-title":"Nat Methods."},{"issue":"2","key":"5788_CR43","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1158\/1078-0432.Ccr-14-0990","volume":"21","author":"JP O'Connor","year":"2015","unstructured":"O'Connor JP, Rose CJ, Waterton JC, Carano RA, Parker GJ, Jackson A. Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome. Clin Cancer Res. 2015;21(2):249-57. https:\/\/doi.org\/10.1158\/1078-0432.Ccr-14-0990.","journal-title":"Clin Cancer Res."},{"key":"5788_CR44","doi-asserted-by":"publisher","DOI":"10.1136\/bmj-2023-078378","volume":"385","author":"GS Collins","year":"2024","unstructured":"Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B, et al. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. Bmj. 2024;385:e078378. https:\/\/doi.org\/10.1136\/bmj-2023-078378.","journal-title":"Bmj."},{"issue":"4","key":"5788_CR45","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.240300","volume":"6","author":"AS Tejani","year":"2024","unstructured":"Tejani AS, Klontzas ME, Gatti AA, Mongan JT, Moy L, Park SH, et al. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiol Artif Intell. 2024;6(4):e240300. https:\/\/doi.org\/10.1148\/ryai.240300.","journal-title":"Radiol Artif Intell."},{"issue":"1","key":"5788_CR46","doi-asserted-by":"publisher","first-page":"12688","DOI":"10.1038\/s41598-020-69534-6","volume":"10","author":"C Haarburger","year":"2020","unstructured":"Haarburger C, M\u00fcller-Franzes G, Weninger L, Kuhl C, Truhn D, Merhof D. Radiomics feature reproducibility under inter-rater variability in segmentations of CT images. Sci Rep. 2020;10(1):12688. https:\/\/doi.org\/10.1038\/s41598-020-69534-6.","journal-title":"Sci Rep."},{"issue":"10","key":"5788_CR47","doi-asserted-by":"publisher","first-page":"4431","DOI":"10.21037\/qims-21-86","volume":"11","author":"C Xue","year":"2021","unstructured":"Xue C, Yuan J, Lo GG, Chang ATY, Poon DMC, Wong OL, et al. Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review. Quant Imaging Med Surg. 2021;11(10):4431-60. https:\/\/doi.org\/10.21037\/qims-21-86.","journal-title":"Quant Imaging Med Surg."}],"container-title":["Abdominal Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-026-05788-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00261-026-05788-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-026-05788-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T21:44:13Z","timestamp":1791668653000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00261-026-05788-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,10]]},"references-count":47,"alternative-id":["5788"],"URL":"https:\/\/doi.org\/10.1007\/s00261-026-05788-4","relation":{},"ISSN":["2366-0058"],"issn-type":[{"value":"2366-0058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,10]]},"assertion":[{"value":"16 July 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 October 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This multicenter retrospective study was approved by the Institutional Review Boards (IRBs) of all participating institutions: the Ethics Committee of The First Affiliated Hospital of Nanchang University, the Ethics Committee of Ganzhou People's Hospital, and the Ethics Committee of Xinyu People's Hospital (Approval No. IIT-2025-806). The requirement for informed consent was waived due to the retrospective nature of the study and the use of de-identified clinical and imaging data. All procedures performed in this study were in accordance with the ethical standards of the institutional research committees and with the 1964 Helsinki Declaration and its later amendments.","order":2,"name":"Ethics","label":"Ethical approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}}]}}