biostudies-literatureUnknown89Feng X<h4>Background</h4>Primary retroperitoneal neoplasms (PRNs) are a diverse group of tumors that pose significant diagnostic challenges. Currently, no multicenter-validated diagnostic model exists for multiple PRN types based on computed tomography (CT) images. This study aimed to develop and validate an end-to-end deep learning model, REMIND (REtroperitoneal neoplasMs artificial-INtelligence Diagnosis), for the accurate diagnosis and segmentation of PRNs using enhanced CT images.<h4>Methods</h4>Patients from 12 Chinese centers between January 2012 and June 2024 were involved in this study. The dataset comprised patients with histologically confirmed PRNs, including seven types of PRNs: dedifferentiated liposarcoma, well-differentiated liposarcoma, leiomyosarcoma, ganglioneuroma, lymphoma, sEClinicalMedicine103498https://www.ebi.ac.uk/biostudies/studies/S-EPMC12508580biostudies-literatureEnd-to-end deep learning model for the diagnosis and segmentation of primary retroperitoneal neoplasm: a multicenter cohort study.PMC12508580Meng THao QWang BGao JDeng LZhao TFeng CZhang QShao CKang FXu BZhuang AWang XChen RSong ZChen QYang LGu YFeng XHe HCui JLi QLiang BYang YLi SZhang ZZhang YYang PYang QfalseEnd-to-end deep learning model for the diagnosis and segmentation of primary retroperitoneal neoplasm: a multicenter cohort study.<h4>Background</h4>Primary retroperitoneal neoplasms (PRNs) are a diverse group of tumors that pose significant diagnostic challenges. Currently, no multicenter-validated diagnostic model exists for multiple PRN types based on computed tomography (CT) images. This study aimed to develop and validate an end-to-end deep learning model, REMIND (REtroperitoneal neoplasMs artificial-INtelligence Diagnosis), for the accurate diagnosis and segmentation of PRNs using enhanced CT images.<h4>Methods</h4>Patients from 12 Chinese centers between January 2012 and June 2024 were involved in this study. The dataset comprised patients with histologically confirmed PRNs, including seven types of PRNs: dedifferentiated liposarcoma, well-differentiated liposarcoma, leiomyosarcoma, ganglioneuroma, lymphoma, s2025-01-01T00:00:00Z2025 Nov2026-06-04T10:12:13.541Z2026-05-08T03:10:27.328ZS-EPMC125085804107903010.1016/j.eclinm.2025.103498