Ontology highlight
ABSTRACT: Background
Diffusion-weighted imaging (DWI) is commonly used to detect prostate cancer, and a major clinical challenge is differentiating aggressive from indolent disease.Purpose
To compare 14 site-specific parametric fitting implementations applied to the same dataset of whole-mount pathologically validated DWI to test the hypothesis that cancer differentiation varies with different fitting algorithms.Study type
Prospective.Population
Thirty-three patients prospectively imaged prior to prostatectomy.Field strength/sequence
3 T, field-of-view optimized and constrained undistorted single-shot DWI sequence.Assessment
Datasets, including a noise-free digital reference object (DRO), were distributed to the 14 teams, where locally implemented DWI
SUBMITTER: McGarry SD
PROVIDER: S-EPMC9095769 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature