An MRI-Based Study of Intelligent Pathological Subtyping and Grading of Renal Tumors

This retrospective + prospective, non-interventional study aims to develop and evaluate artificial intelligence methods for the detection, pathological subtyping, and histological grading of renal tumors using magnetic resonance imaging (MRI). Approximately 900 adult patients with available preoperative renal MRI examinations and postoperative pathological results will be included. The pathological findings will be used as the reference standard for model development and evaluation. In addition to MRI data, selected demographic, clinical, and laboratory information may be incorporated to improve model performance. The study will not change participants' diagnosis, treatment, or follow-up, and no additional examinations or interventions will be required. All study data will be de-identified before analysis. The ultimate goal is to develop an MRI-based intelligent diagnostic approach that may assist clinicians in the preoperative assessment and individualized management of patients with renal tumors.

NCT Number	NCT07743749
Lead Sponsor	Cancer Institute and Hospital, Chinese Academy of Medical Sciences Collaborators: Peking University People's Hospital, Shanxi Province Cancer Hospital, Chinese PLA General Hospital, RenJi Hospital, Cancer Hospital Chinese Academy of Medical Science, Shenzhen Center
Conditions	Renal Tumor, Kidney Neoplasm
Enrollment	900 participants
Start Date	2021-01-01
Primary Completion	2026-12-31 (estimated)
Study Completion	2026-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-08-04