Development and validation of a radiomics-based nomogram for predicting pathological grade of upper urinary tract urothelial carcinoma.

ABSTRACT:

Background

Upper urinary tract urothelial carcinoma (UTUC) is a rare and highly aggressive malignancy characterized by poor prognosis, making the accurate identification of high-grade (HG) UTUC essential for subsequent treatment strategies. This study aims to develop and validate a nomogram model using computed tomography urography (CTU) images to predict HG UTUC.

Methods

A retrospective cohort study was conducted to include patients with UTUC who underwent radical nephroureterectomy and received a CTU examination prior to surgery. In the CTU images, tumor lesions located in the renal calyces, renal pelvis and ureter were segmented, and radiomics features from the unenhanced, medullary, and excretory phases were extracted. The maximum relevance minimum redundancy algorithm,

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC11657141 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature