Combining and analyzing novel multi-parametric magnetic resonance imaging metrics for predicting Gleason score.

ABSTRACT:

Background

Radiologists currently subjectively examine multi-parametric magnetic resonance imaging (MP-MRI) to determine prostate tumor aggressiveness using the Prostate Imaging Reporting and Data System scoring system (PI-RADS). Recent studies showed that modified signal to clutter ratio (SCR), tumor volume, and eccentricity (elongation or roundness) of prostate tumors correlated with Gleason score (GS). No previous studies have combined the prostate tumor's shape, SCR, tumor volume, in order to predict potential tumor aggressiveness and GS.

Methods

MP-MRI (T1, T2, diffusion, dynamic contrast-enhanced images) were obtained, resized, translated, and stitched to form spatially registered multi-parametric cubes. Multi-parametric signatures that characterize prostate tumors wer

SUBMITTER: Mayer R 

PROVIDER: S-EPMC9246760 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature