A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors.

ABSTRACT:

Background

Preoperative prediction of bladder cancer (BCa) recurrence risk is critical for individualized clinical management of BCa patients.

Purpose

To develop and validate a nomogram based on radiomics and clinical predictors for personalized prediction of the first 2 years (TFTY) recurrence risk.

Study type

Retrospective.

Population

Preoperative MRI datasets of 71 BCa patients (34 recurrent) were collected, and divided into training (n = 50) and validation cohorts (n = 21).

Field strength/sequence

3.0T MRI/T₂ -weighted (T₂ W), multi-b-value diffusion-weighted (DW), and dynamic contrast-enhanced (DCE) sequences.

Assessment

Radiomics features were extracted from the T₂ W, DW, apparent diffusion coefficient, and D

SUBMITTER: Xu X 

PROVIDER: S-EPMC6790276 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature