{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T13:57:20Z","timestamp":1787061440617,"version":"build-2736575974"},"reference-count":27,"publisher":"Wiley","issue":"15","license":[{"start":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T00:00:00Z","timestamp":1754352000000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To establish a model based on intratumoral and peritumoral radiomics for preoperatively differentiating solitary intrahepatic mass\u2010forming cholangiocarcinoma (IMCC) lesions from colorectal cancer liver metastases (CRLM).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Preoperative MRI scans from IMCC patients were retrospectively obtained from three academic medical centers. Radiomics features were extracted from the intratumoral and multiple peritumoral regions. After feature selection, the optimal peritumoral range was determined. The radiomics model was developed by integrating both single\u2010sequence and multisequence models through probabilistic ensemble learning. Significant variables from clinical imaging features, radiomics, were integrated into a combined model, and its performance was evaluated using the area under the receiver operating characteristic curve (AUC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 170 patients (93 IMCC, 77 CRLM) comprised the training cohort, and 42 (23 IMCC, 19 CRLM) formed the external validation cohort. The Combined model achieved superior AUCs in training (0.978 [95% CI: 0.971\u20130.985]) and validation (0.940 [0.899\u20130.968]), outperforming radiomics (training: 0.947 [(95% CI: 0.932\u20130.961]); validation: 0.908 [(95% CI: 0.861\u20130.943)]) and Clin\u2010Imag models (training: 0.858 [95% CI: 0.831\u20130.880]; validation: 0.842 [95% CI: 0.786\u20130.889]) (DeLong test,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.001). SHAP analysis identified DWI\u2010based 5\u2010mm peritumoral features and clinical\u2010imaging variables (e.g., lesion location and bile duct dilation) as key discriminators.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The combined model integrating clinical\u2010imaging variables and multiparametric MRI\u2010derived intratumoral and 5\u2010mm peritumoral radiomics features provides a non\u2010invasive tool for distinguishing solitary IMCC from CRLM, offering potential clinical utility for guiding personalized treatment strategies and avoiding unnecessary invasive interventions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cam4.71120","type":"journal-article","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T11:59:17Z","timestamp":1754395157000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multiparametric MRI\u2010Based Intratumoral and Peritumoral Radiomics for Distinguishing Solitary Intrahepatic Mass\u2010Forming Cholangiocarcinoma From Colorectal Liver Metastases"],"prefix":"10.1002","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4895-9432","authenticated-orcid":false,"given":"Liyong","family":"Zhuo","sequence":"first","affiliation":[{"name":"Department of Radiology Affiliated Hospital of Hebei University  Baoding People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaomeng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology Affiliated Hospital of Hebei University  Baoding People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuo","family":"Dai","sequence":"additional","affiliation":[{"name":"Department of Mathematical Sciences Liaocheng University  Liaocheng Shandong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lihong","family":"Xing","sequence":"additional","affiliation":[{"name":"Department of Radiology Affiliated Hospital of Hebei University  Baoding People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zijun","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Critical Care Medicine Baoding First Central Hospital  Baoding People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueyan","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Mathematical Sciences Liaocheng University  Liaocheng Shandong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6939-5029","authenticated-orcid":false,"given":"Jianing","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology Affiliated Hospital of Hebei University  Baoding People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caiying","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging The Second Hospital of Hebei Medical University  Shijiazhuang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6408-9335","authenticated-orcid":false,"given":"Xiaoping","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Radiology Affiliated Hospital of Hebei University  Baoding People's Republic of 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