Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging.

ABSTRACT:

Purpose

To 1) describe textural features from diffusion-weighted images (DWI) and apparent diffusion coefficient (ADC) maps that can distinguish low-grade bladder cancer from high-grade, and 2) propose a radiomics-based strategy for cancer grading using texture features.

Materials and methods

In all, 61 patients with bladder cancer (29 in high- and 32 in low-grade groups) were enrolled in this retrospective study. Histogram- and gray-level co-occurrence matrix (GLCM)-based radiomics features were extracted from cancerous volumes of interest (VOIs) on DWI and corresponding ADC maps of each patient acquired from 3.0T magnetic resonance imaging (MRI). A Mann-Whitney U-test was applied to select features with significant differences between low- and high-grade groups (P < 0.05).

SUBMITTER: Zhang X 

PROVIDER: S-EPMC5557707 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature