An MRI-based radiomics nomogram in predicting histologic grade of non-muscle-invasive bladder cancer.

ABSTRACT:

Background

Non-muscle-invasive bladder cancer (NMIBC) is categorized into high and low grades with different clinical treatments and prognoses. Thus, accurate preoperative evaluation of the histologic NMIBC grade through imaging techniques is essential.

Objectives

To develop and validate an MRI-based radiomics nomogram for individualized prediction of NMIBC grading.

Methods

The study included 169 consecutive patients with NMIBC (training cohort: n = 118, validation cohort: n = 51). A total of 3148 radiomic features were extracted, and one-way analysis of variance and least absolute shrinkage and selection operator were used to select features for building the radiomics score(Rad-score). Three models to predict NMIBC grading were developed using logistic regression ana

SUBMITTER: Li L 

PROVIDER: S-EPMC10060523 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature