{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T21:36:43Z","timestamp":1793482603010,"version":"4.5.0"},"reference-count":33,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T00:00:00Z","timestamp":1739318400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Medical Scientific Research Program of Jiangsu Commission of Health","award":["No.M2021014"],"award-info":[{"award-number":["No.M2021014"]}]},{"name":"Xuzhou Leading Talent Training Project","award":["NO.XWRCHT20210030"],"award-info":[{"award-number":["NO.XWRCHT20210030"]}]},{"name":"Clinical Research Special Fund Project of Wu Jieping Medical Foundation","award":["No.3206750.2023-11-24"],"award-info":[{"award-number":["No.3206750.2023-11-24"]}]},{"name":"Clinical Research Project of Zhongshan Hospital, Fudan University","award":["No. 2020ZSLC61"],"award-info":[{"award-number":["No. 2020ZSLC61"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Intrahepatic cholangiocarcinoma (ICC) is an aggressive liver malignancy, and Ki67 is associated with prognosis in patients with ICC and is an attractive therapeutic target.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To predict Ki67 expression based on multiparametric magnetic resonance imaging (MRI) radiomics multiscale tumor region in patients with ICC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>\n                      A total of 191 patients (training cohort, n\u2009=\u2009133; validation cohort, n\u2009=\u200958) with pathologically confirmed ICC were enrolled in this retrospective study. All patients underwent baseline abdominal MR scans in our institution. Univariate logistic analysis was conducted of the correlation between clinical and MRI characteristics and Ki67 expression. Radiomics features were extracted from the image of six MRI sequences (T1-weighted imaging, fat-suppression T2-weighted imaging, diffusion-weighted imaging, and 3-phases contrast-enhanced T1-weighted imaging sequences). Using the least absolute shrinkage and selection operator (LASSO) to select Ki67-related radiomics features in four different tumor volumes (VOI\n                      <jats:sup>tumor<\/jats:sup>\n                      , VOI\n                      <jats:sup>+8mm<\/jats:sup>\n                      , VOI\n                      <jats:sup>+10mm<\/jats:sup>\n                      , VOI\n                      <jats:sup>+12mm<\/jats:sup>\n                      ). The Rad-score was calculated with logistic regression, and models for prediction of Ki67 expression were constructed. The receiver operating curve was used to analyze the predictive performance of each model.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Clinical and regular MRI characteristics were independent of Ki67 expression. Four Rad-scores all showed favorable prediction efficiency in both the training and validation cohorts (AUC = 0.849\u20130.912 vs. 0.789\u20130.838). DeLong\u2019s test showed that there was no significant difference between the AUC of the radiomics scores, while the Rad-score (VOI\n                      <jats:sup>+10mm<\/jats:sup>\n                      ) performed the most stable predictive efficiency with \u25b3\n                      <jats:sub>AUC<\/jats:sub>\n                      0.033.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Multiparametric MRI radiomics based on multiscale tumor regions can help predict the expression status of Ki67 in ICC patients.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02841851241310394","type":"journal-article","created":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T05:18:32Z","timestamp":1739337512000},"page":"368-378","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Multiparametric magnetic resonance imaging-derived radiomics for the prediction of Ki67 expression in intrahepatic cholangiocarcinoma"],"prefix":"10.1177","volume":"66","author":[{"given":"Qing","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Radiology, Xuzhou Central Hospital, Xuzhou, Jiangsu, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3331-815X","authenticated-orcid":false,"given":"Chen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Xuzhou Central Hospital, Xuzhou, Jiangsu, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianling","family":"Qian","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, PR China"},{"name":"Shanghai Institute of Medical Imaging, Shanghai, PR China"},{"name":"Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoxin","family":"Qian","sequence":"additional","affiliation":[{"name":"Huiying Medical Technology, Huiying Medical Technology Co., Ltd, Beijing City, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xijuan","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Radiology, Xuzhou Central Hospital, Xuzhou, Jiangsu, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chun","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, PR China"},{"name":"Shanghai Institute of Medical Imaging, Shanghai, PR China"},{"name":"Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4954-313X","authenticated-orcid":false,"given":"Yibing","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Xuzhou Central Hospital, Xuzhou, Jiangsu, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,2,12]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.suc.2020.02.013"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejso.2021.08.009"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamasurg.2013.5137"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.soc.2019.06.002"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-017-4421-3"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1159\/000448945"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.3390\/ijms19092548"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aohep.2020.07.010"},{"key":"e_1_3_3_10_2","first-page":"38","article-title":"Correlation among maximum standardized (18)F-FDG uptake and pathological differentiation, tumor size, and Ki67 in patients with moderately and poorly differentiated intrahepatic cholangiocarcinoma","volume":"25","author":"Zhang Y","year":"2022","unstructured":"Zhang Y, Li B, He Y, et al. 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