{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T09:23:45Z","timestamp":1787045025356,"version":"build-2736575974"},"reference-count":30,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T00:00:00Z","timestamp":1712880000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100017950","name":"Shanghai Municipal Health Commission","doi-asserted-by":"publisher","award":["shslczdzk03202"],"award-info":[{"award-number":["shslczdzk03202"]}],"id":[{"id":"10.13039\/100017950","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["22Y11910900"],"award-info":[{"award-number":["22Y11910900"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2024,12]]},"abstract":"\n Background<\/jats:title>\n Lymph node metastasis (LNM) in patients with intrahepatic cholangiocarcinoma (iCCA) affects treatment strategies and prognosis. However, preoperative imaging is not reliable enough for identifying LNM.<\/jats:p>\n <\/jats:sec>\n \n Purpose<\/jats:title>\n To develop and validate a radiomics nomogram based on dynamic contrast enhanced (DCE)\u2010MR images for identifying LNM and prognosis in iCCA.<\/jats:p>\n <\/jats:sec>\n \n Study Type<\/jats:title>\n Retrospective.<\/jats:p>\n <\/jats:sec>\n \n Subjects<\/jats:title>\n Two hundred four patients with pathologically proven iCCA who underwent curative\u2010intent resection and lymphadenectomy (training cohort: N\u2009=\u2009107, internal test cohort: N\u2009=\u200946, and external test cohort: N\u2009=\u200951).<\/jats:p>\n <\/jats:sec>\n \n Field Strength\/Sequence<\/jats:title>\n T1\u2010 and T2\u2010weighted imaging, diffusion\u2010weighted imaging and DCE imaging at 1.5\u2009T or 3.0\u2009T.<\/jats:p>\n <\/jats:sec>\n \n Assessment<\/jats:title>\n Radiomics features were extracted from intra\u2010 and peri\u2010tumoral regions on preoperative DCE\u2010MR images. Imaging features were evaluated by three radiologists, and significant variables in univariable and multivariable regression analysis were included in clinical model. The best\u2010performing radiomics signature and clinical characteristics (intrahepatic duct dilatation, MRI\u2010reported LNM) were combined to build a nomogram. Patients were divided into high\u2010risk and low\u2010risk groups based on their nomogram scores (cutoff\u2009=\u20090.341). Patients were followed up for 1\u2013102\u2009months (median 12) after surgery, the overall survival (OS) and recurrence\u2010free survival (RFS) were calculated.<\/jats:p>\n <\/jats:sec>\n \n Statistical Tests<\/jats:title>\n \n Receiver operating characteristic (ROC) curve, calibration, decision curve, Delong test, Kaplan\u2013Meier curves, log rank test. Two tailed\n P<\/jats:italic>\n \u2009<\u20090.05 was considered statistically significant.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n The nomogram incorporating intra\u2010 and peri\u2010tumoral radiomics features, intrahepatic duct dilatation and MRI\u2010reported LNM obtained the best discrimination for LNM, with areas under the ROC curves of 0.946, 0.913, and 0.859 in the training, internal, and external test cohorts. In the entire cohort, high\u2010risk patients had significantly lower RFS and OS than low\u2010risk patients. High\u2010risk of LNM was an independent factor of unfavorable OS and RFS.<\/jats:p>\n <\/jats:sec>\n \n Data Conclusion<\/jats:title>\n The nomogram integrating intra\u2010 and peri\u2010tumoral radiomics signatures has potential to identify LNM and prognosis in iCCA.<\/jats:p>\n <\/jats:sec>\n \n Evidence Level<\/jats:title>\n 3<\/jats:p>\n <\/jats:sec>\n \n Technical Efficacy<\/jats:title>\n Stage 2<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jmri.29390","type":"journal-article","created":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T20:30:10Z","timestamp":1712953810000},"page":"2669-2680","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Intra\u2010 and Peri\u2010tumoral Radiomics Based on Dynamic Contrast Enhanced\n \u2010MRI<\/scp>\n to Identify Lymph Node Metastasis and Prognosis in Intrahepatic Cholangiocarcinoma"],"prefix":"10.1002","volume":"60","author":[{"given":"Yi\u2010Jun","family":"Pan","sequence":"first","affiliation":[{"name":"Department of Radiology, Zhongshan Hospital Fudan University Shanghai China"},{"name":"Shanghai Institute of Medical Imaging Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sun\u2010jie","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Research Center Shanghai United Imaging Intelligence Co., Ltd. Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zi\u2010Rui","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Research Center Shanghai United Imaging Intelligence Co., Ltd. Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Shan","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zhongshan Hospital Fudan University Shanghai China"},{"name":"Shanghai Institute of Medical Imaging Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiang","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zhongshan Hospital Fudan University Shanghai China"},{"name":"Shanghai Institute of Medical Imaging Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0832-083X","authenticated-orcid":false,"given":"Peng\u2010Ju","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zhongshan Hospital Fudan University Shanghai China"},{"name":"Shanghai Institute of Medical Imaging Shanghai 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