{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T21:13:07Z","timestamp":1792098787316,"version":"4.4.0"},"reference-count":22,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T00:00:00Z","timestamp":1704672000000},"content-version":"vor","delay-in-days":7,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>The study aimed to establish radiomics models based on magnetic resonance imaging (MRI) multiparameter images to predict the survival and prognosis of patients with extrahepatic cholangiocarcinoma (ECC).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Seventy\u2010eight patients with ECC confirmed by pathology were collected retrospectively. The radiomics model_a\/b\/c were constructed based on the 1\/2\/3\u2010year survival of patients with ECC. The best texture features were selected according to postoperative survival time and ECC patient status to calculate the radiomics score (Rad\u2010score). A cutoff value was selected, and patients were divided into high\u2010risk and low\u2010risk groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Model_a, model_b, and model_c were used to predict 1\u2010, 2\u2010, and 3\u2010year postoperative survival rates, respectively. The area under the curve values in the training and test groups were 1.000 and 0.933 for model_a, 0.909 and 0.907 for model_b, 1.000 and 0.975 for model_c, respectively. The survival prediction model based on the Rad\u2010score showed that the postoperative mortality risk differed significantly between risk groups (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.0001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The MRI radiomics model could be used to predict the survival and prognosis of patients with ECC.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.6832","type":"journal-article","created":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T08:39:15Z","timestamp":1704703155000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The value of an <scp>MRI<\/scp>\u2010based radiomics model in predicting the survival and prognosis of patients with extrahepatic cholangiocarcinoma"],"prefix":"10.1002","volume":"13","author":[{"given":"Limin","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Radiology The Affiliated Hospital of Southwest Medical University  Luzhou Sichuan China"},{"name":"Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province  Luzhou Sichuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Radiology The Affiliated Hospital of Southwest Medical University  Luzhou Sichuan China"},{"name":"Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province  Luzhou Sichuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanyan","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Radiology The Affiliated Hospital of Southwest Medical University  Luzhou Sichuan China"},{"name":"Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province  Luzhou Sichuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7386-7217","authenticated-orcid":false,"given":"Jian","family":"Shu","sequence":"additional","affiliation":[{"name":"Department of Radiology The Affiliated Hospital of Southwest Medical University  Luzhou Sichuan China"},{"name":"Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province  Luzhou Sichuan 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