{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T12:45:39Z","timestamp":1782996339120,"version":"3.54.5"},"reference-count":36,"publisher":"Walter de Gruyter GmbH","issue":"2","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Limited research has applied habitat imaging to evaluate the association between T2-weighted magnetic resonance imaging (T2WI-MRI) features and Ki-67 expression in hepatocellular carcinoma HCC). This study aimed to link T2WI habitat-derived parameters to Ki-67 status and aggressiveness in HCC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Patients and methods<\/jats:title>\n                    <jats:p>This dual-center retrospective study, enrolled patients with pathologically confirmed HCC undergoing preoperative MRI (2020\u20132024). Using Ki-67 index cutoff (20%). Tumor habitat partitioning was performed using k-means clustering (k = 5), followed by extraction of both habitat-specific radiomic features and conventional whole-tumor features. Feature selection was conducted using least absolute shrinkage and selection operator (LASSO) regression with 10-fold cross-validation. Three predictive models were constructed with the ExtraTrees algorithm: a habitat model, a radiomics model, and a clinical model. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), DeLong test, and decision curve analysis (DCA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>T2WI-based habitat imaging enables a noninvasive assessment of intratumoral heterogeneity, significantly improving the prediction of Ki-67 expression status in HCC. This approach may provide a promising imaging biomarker for molecular subtyping and support personalized preoperative treatment strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>T2WI habitat imaging enables improved Ki-67 prediction, supporting informed therapeutic decisions in HCC.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2478\/raon-2026-0032","type":"journal-article","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T10:08:34Z","timestamp":1782468514000},"page":"217-226","source":"Crossref","is-referenced-by-count":0,"title":["Prediction of Ki-67 expression in hepatocellular carcinoma: a dual-center study based on T2-weighted imaging habitat analysis"],"prefix":"10.2478","volume":"60","author":[{"given":"Xiaojun","family":"Zheng","sequence":"first","affiliation":[{"name":"Graduate School, Youjiang Medical University for Nationalities , Baise , China"},{"name":"Department of Radiology, The Affiliated Hospital of Youjiang Medical University for Nationalities , Baise , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lihong","family":"Huang","sequence":"additional","affiliation":[{"name":"Graduate School, Youjiang Medical University for Nationalities , Baise , China"},{"name":"Department of Radiology, The Affiliated Hospital of Youjiang Medical University for Nationalities , Baise , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengjie","family":"Huang","sequence":"additional","affiliation":[{"name":"Graduate School, Youjiang Medical University for Nationalities , Baise , China"},{"name":"Department of Radiology, The Affiliated Hospital of Youjiang Medical University for Nationalities , Baise , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Yu","sequence":"additional","affiliation":[{"name":"Graduate School, Youjiang Medical University for Nationalities , Baise , China"},{"name":"Department of Radiology, The Affiliated Hospital of Youjiang Medical University for Nationalities , Baise , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiji","family":"Qin","sequence":"additional","affiliation":[{"name":"Graduate School, Youjiang Medical University for Nationalities , Baise , China"},{"name":"Department of Radiology, The Affiliated Hospital of Youjiang Medical University for Nationalities , Baise , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deyou","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Radiology, The Affiliated Hospital of Youjiang Medical University for Nationalities , Baise , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,6,26]]},"reference":[{"key":"2026070211564130001_j_raon-2026-0032_ref_001","doi-asserted-by":"crossref","unstructured":"Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. 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