{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T16:40:01Z","timestamp":1784565601333,"version":"3.55.0"},"reference-count":33,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T00:00:00Z","timestamp":1632182400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004000","name":"Guangzhou Science and Technology Program key projects","doi-asserted-by":"publisher","award":["201904010187"],"award-info":[{"award-number":["201904010187"]}],"id":[{"id":"10.13039\/501100004000","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81701719"],"award-info":[{"award-number":["81701719"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81971630"],"award-info":[{"award-number":["81971630"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Ultrasound Medicine"],"published-print":{"date-parts":[[2022,6]]},"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>To construct a preoperative model for survival prediction in intrahepatic cholangiocarcinoma (ICC) patients using ultrasound (US) based radiographic\u2010radiomics signatures.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Between April 2010 and September 2015, 170 patients with ICC who underwent curative resection were retrospectively recruited. Overall survival (OS)\u2010related radiographic signatures and radiomics signatures based on preoperative US were built and assessed through a time\u2010dependent receiver operating characteristic curve analysis. A nomogram was developed based on the selected predictors from the radiographic\u2010radiomics signatures and clinical and laboratory results of the training cohort (n\u00a0=\u00a0127), validated in an independent testing cohort (n\u00a0=\u00a043) by the concordance index (C\u2010index), and compared with the Tumor Node Metastasis (TNM) cancer staging system as well as the radiographic and radiomics nomograms.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The median areas under the curve of the radiomics signature and radiographic signature were higher than that of the TNM staging system in the testing cohort, although the values were not significantly different (0.76\u20130.82 versus 0.62, <jats:italic>P<\/jats:italic>\u00a0=\u00a0.485 and .264). The preoperative nomogram with CA 19\u20109, sex, ascites, radiomics signature, and radiographic signature had C\u2010indexes of 0.72 and 0.75 in the training and testing cohorts, respectively, and it had significantly higher predictive performance than the 8th TNM staging system in the testing cohort (C\u2010index: 0.75 versus 0.67, <jats:italic>P<\/jats:italic>\u00a0=\u00a0.004) and a higher C\u2010index than the radiomics nomograms (0.75 versus 0.68, <jats:italic>P<\/jats:italic>\u00a0=\u00a0.044).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The preoperative nomogram integrated with the radiographic\u2010radiomics signature demonstrated good predictive performance for OS in ICC and was superior to the 8th TNM staging system.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jum.15833","type":"journal-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T07:02:22Z","timestamp":1632294142000},"page":"1483-1495","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Preoperative Survival Prediction in Intrahepatic Cholangiocarcinoma Using an Ultrasound<scp>\u2010Based Radiographic\u2010Radiomics<\/scp> Signature"],"prefix":"10.1002","volume":"41","author":[{"given":"Ming\u2010De","family":"Li","sequence":"first","affiliation":[{"name":"Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Ultrasomics Artificial Intelligence X\u2010Lab The First Affiliated Hospital of Sun Yat\u2010Sen University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao\u2010Zhou","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Traditional Chinese Medicine 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Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Ultrasomics Artificial Intelligence X\u2010Lab The First Affiliated Hospital of Sun Yat\u2010Sen University  Guangzhou China"},{"name":"Department of Hepatobiliary Surgery The First Affiliated Hospital of Sun Yat\u2010Sen University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9485-583X","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Ultrasomics Artificial Intelligence X\u2010Lab The First Affiliated Hospital of Sun Yat\u2010Sen University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shun\u2010Li","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Hepatobiliary Surgery The First Affiliated Hospital of Sun Yat\u2010Sen University  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