{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T13:33:37Z","timestamp":1787664817959,"version":"build-2736575974"},"reference-count":35,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T00:00:00Z","timestamp":1755648000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371911"],"award-info":[{"award-number":["82371911"]}],"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":["82372075"],"award-info":[{"award-number":["82372075"]}],"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":["82402415"],"award-info":[{"award-number":["82402415"]}],"id":[{"id":"10.13039\/501100001809","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":[[2025,12]]},"abstract":"ABSTRACT<\/jats:title>\n \n Background<\/jats:title>\n Bladder cancer (BCa) with variant histology (VH) is aggressive, leading to poor prognosis and resistance to neoadjuvant treatment (NAT). Preoperative identification of VH may be important for informing treatment options.<\/jats:p>\n <\/jats:sec>\n \n Purpose<\/jats:title>\n To develop and validate a multiparametric MRI\u2010based ensemble model to identify VH in BCa and explore its association with disease\u2010free survival (DFS) and NAT response.<\/jats:p>\n <\/jats:sec>\n \n Study Type<\/jats:title>\n Retrospective.<\/jats:p>\n <\/jats:sec>\n \n Subjects<\/jats:title>\n \n Six hundred twenty patients with pathologically confirmed BCa (median age, 65\u2009years [IQR: 56, 73], 145 female) from four centers who underwent preoperative MRI, were divided into a training (\n n<\/jats:italic>\n \u2009=\u2009311), internal validation (\n n<\/jats:italic>\n \u2009=\u200954) from Center 1, and three external validation datasets (\n n<\/jats:italic>\n \u2009=\u200985, 68, and 102, respectively). Two additional cohorts, DFS (\n n<\/jats:italic>\n \u2009=\u200975) and NAT (\n n<\/jats:italic>\n \u2009=\u200969) cohorts, were collected from Center 1 to evaluate prognosis.\n <\/jats:p>\n <\/jats:sec>\n \n Field Strength\/Sequence<\/jats:title>\n 3T, non\u2010fat suppressed T2\u2010weighted imaging using fast spin echo, diffusion\u2010weighted imaging using single\u2010shot echo planar imaging, and T1\u2010weighted dynamic contrast\u2010enhanced sequence using 3D gradient echo sequence.<\/jats:p>\n <\/jats:sec>\n \n Assessment<\/jats:title>\n Habitat, radiomic, clinical, clinical\u2010radiomic based, and the VHRisk Score (VHRiS) models were constructed for evaluating VH. The prognostic value of VHRiS for DFS and pathological complete response (pCR) rate was further evaluated.<\/jats:p>\n <\/jats:sec>\n \n Statistical Tests<\/jats:title>\n \n Mann\u2013Whitney U test,\n t<\/jats:italic>\n \u2010test, ROC analysis (AUC), Kaplan\u2013Meier curves, log\u2010rank test, and SHapley Additive exPlanations (SHAP) analysis.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n The VHRiS model demonstrated favorable accuracy (AUCs: training, 0.971; internal validation, 0.895; external validation, 0.898\u20130.974). Low\u2010risk patients (VHRiS \u2265\u20090.863) exhibited significantly longer DFS than high\u2010risk patients (4.20 months vs. 3.08\u2009months) in the DFS cohort (median follow\u2010up period: 13.19\u2009months [IQR: 6.54, 31.91]). They also showed a higher pCR rate than high\u2010risk patients (64% vs. 33%) in the NAT cohort.<\/jats:p>\n <\/jats:sec>\n \n Data Conclusions<\/jats:title>\n The VHRiS model may be a robust tool for identifying VH, and may offer a potential method for risk stratification and prognosis prediction in patients with BCa.<\/jats:p>\n <\/jats:sec>\n \n Levels of Evidence<\/jats:title>\n 4.<\/jats:p>\n <\/jats:sec>\n \n Technical Efficacy Stage<\/jats:title>\n 2.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jmri.70069","type":"journal-article","created":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T08:30:53Z","timestamp":1755678653000},"page":"1698-1710","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Development and Validation of a Preoperative\n MRI<\/scp>\n Habitat Radiomics Model to Predict Variant Histology in Bladder Cancer"],"prefix":"10.1002","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4945-7127","authenticated-orcid":false,"given":"Lingmin","family":"Kong","sequence":"first","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital, Sun Yat\u2010Sen University Guangzhou Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanjin","family":"Qin","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital, Sun Yat\u2010Sen University Guangzhou Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Pathology The First Affiliated Hospital of Sun Yat\u2010Sen University Guangzhou Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital, Sun Yat\u2010Sen University Guangzhou Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital, Sun Yat\u2010Sen University Guangzhou Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianqiu","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Radiology Affiliated Dongguan People's Hospital, Southern Medical University Dongguan Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianpeng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology Affiliated Dongguan People's Hospital, Southern Medical University Dongguan Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology Sun Yat\u2010Sen Memorial Hospital, Sun Yat\u2010Sen University Guangzhou Guangdong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital, Sun Yat\u2010Sen University Guangzhou Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9089-7736","authenticated-orcid":false,"given":"Huanjun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital, Sun Yat\u2010Sen University Guangzhou Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,8,20]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2022.07.002"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.euf.2019.09.003"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrurol.2017.125"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11912-019-0772-8"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.4081\/aiua.2022.3.291"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/bju.15984"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2019.09.035"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12885-023-11398-w"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.30907"},{"issue":"1","key":"e_1_2_9_11_1","first-page":"32","article-title":"News in the Classification of WHO 2022 Bladder Tumors","volume":"115","author":"Raspollini M. 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