Computed tomography-based nomogram for estimating progression-free survival probability in bladder cancer patients undergoing partial cystectomy.

ABSTRACT:

Purpose

To establish a prognostic model to estimate progression-free survival (PFS) probability in bladder cancer (BCa) patients undergoing partial cystectomy.

Material and methods

Consecutive patients who underwent partial cystectomy between August 2012 and April 2021 were enrolled. The primary endpoint was PFS during the follow-up. The following features were assessed: tumor location, amount, size, tortuous blood vessels around or within the lesions, perivesical fat stranding, stalk, computed tomography (CT) enhancement, calcification, cystic degeneration, CT reported lymph nodes status, and presence of hydronephrosis. Univariate Cox regression and LASSO regression, followed by backward stepwise multivariable Cox, were used to construct the nomogram.

Results

A total

SUBMITTER: Cao T 

PROVIDER: S-EPMC12267374 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature