A multiomics analysis-assisted machine learning model identifies renal hamartoma without visible fat and homogeneous clear cell renal cell carcinoma: A retrospective cohort study.

ABSTRACT: Preoperative differentiation between benign renal hamartoma without visible fat (RH-WVF) and malignant homogeneous clear cell renal cell carcinoma (hm-ccRCC) is radiologically challenging, often requiring biopsy or surgery. This study aimed to develop a noninvasive preoperative diagnostic model for distinguishing the two lesions. A retrospective analysis included 371 patients with RH-WVF or hm-ccRCC (confirmed by surgical specimens) from two Jingzhou hospitals (Jan 2015-Feb 2024). Patients were randomly divided into training (70%) and validation (30%) cohorts by tumor stage. Radiomics features were extracted from CT corticomedullary and parenchymal phases; urinary proteomic markers were also included. LASSO regression screened predictive features, and nomogram/decision tree models were bui

SUBMITTER: Wu Y 

PROVIDER: S-EPMC12747021 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature