A clinically practical model for the preoperative prediction of lymph node metastasis in bladder cancer: a multicohort study.

ABSTRACT:

Background

The aim of this study was to construct a clinically practical model to precisely predict lymph node (LN) metastasis in bladder cancer patients.

Methods

Four independent cohorts were included. The least absolute shrinkage and selection operator regression with multivariate logistic regression were applied. The diagnostic efficacy of LN score and CT/MRI was compared by accuracy, sensitivity, specificity, and area under curve (AUC).

Results

A total of 606 patients were included to develop a basic prediction model. After multistep gene selection, the LN metastasis prediction model was constructed with 5 genes. The model can accurately predict LN metastasis with an AUC of 0.781. For clinically practical use, we transformed the model into a Fast LN Scoring System

SUBMITTER: Lu J 

PROVIDER: S-EPMC10539530 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature