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The patients were divided into three groups according to Ki-67 cut-offs: Ki-67\u2009\u2265\u200920% (<jats:italic>n<\/jats:italic>\u2009=\u200986) vs. Ki-67\u2009&lt;\u200920% (<jats:italic>n<\/jats:italic>\u2009=\u200935); Ki-67\u2009\u2265\u200930% (<jats:italic>n<\/jats:italic>\u2009=\u200973) vs. Ki-67\u2009&lt;\u200930% (<jats:italic>n<\/jats:italic>\u2009=\u200948); Ki-67\u2009\u2265\u200950% (<jats:italic>n<\/jats:italic>\u2009=\u200945) vs. Ki-67\u2009&lt;\u200950% (<jats:italic>n<\/jats:italic>\u2009=\u200976). MRI features were analyzed to be associated with high Ki-67 expression using logistic regression to construct multivariable models. The performance characteristic of the models for the prediction of high Ki-67 expression was assessed using receiver operating characteristic curves.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The presence of mosaic architecture (<jats:italic>p<\/jats:italic>\u2009=\u20090.045), the presence of infiltrative appearance (<jats:italic>p<\/jats:italic>\u2009=\u20090.039), and the absence of targetoid hepatobiliary phase (HBP,\u00a0<jats:italic>p<\/jats:italic>\u2009=\u20090.035) were independent differential factors for the prediction of high Ki-67 status (\u2265\u200950% vs.\u2009&lt;\u200950%) in HCC patients, while no features could predict high Ki-67 status with thresholds of 20% (\u2265\u200920% vs.\u2009&lt;\u200920%) and 30% (\u2265\u200930% vs.\u2009&lt;\u200930%) (<jats:italic>p<\/jats:italic>\u2009&gt;\u20090.05). Four models were constructed including model A (mosaic architecture and infiltrated appearance), model B (mosaic architecture and targetoid HBP), model C (infiltrated appearance and targetoid HBP), and model D (mosaic architecture, infiltrated appearance and targetoid HBP). The model D yielded better diagnostic performance than the model C (0.776 vs. 0.669, <jats:italic>p<\/jats:italic>\u2009=\u20090.002), but a comparable AUC than model A (0.776 vs. 0.781, <jats:italic>p<\/jats:italic>\u2009=\u20090.855) and model B (0.776 vs. 0.746, <jats:italic>p<\/jats:italic>\u2009=\u20090.076).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Mosaic architecture, infiltrated appearance and targetoid HBP were sensitive imaging features for predicting Ki-67 index\u2009\u2265\u200950% and EOB-MRI model based on LI-RADS v2018 features may be an effective imaging approach for the risk stratification of patients with HCC before surgery.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-024-01204-9","type":"journal-article","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T13:02:27Z","timestamp":1706187747000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma"],"prefix":"10.1186","volume":"24","author":[{"given":"Yingying","family":"Liang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiuju","family":"Mou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihua","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuyin","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingwen","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nianru","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongzhen","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,25]]},"reference":[{"key":"1204_CR1","doi-asserted-by":"publisher","first-page":"394","DOI":"10.3322\/caac.21492","volume":"68","author":"F Bray","year":"2018","unstructured":"Bray F, Ferlay J, Soerjomataram I, et al. 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