Improved Characterization of Diffusion in Normal and Cancerous Prostate Tissue Through Optimization of Multicompartmental Signal Models.

ABSTRACT:

Background

Multicompartmental modeling outperforms conventional diffusion-weighted imaging (DWI) in the assessment of prostate cancer. Optimized multicompartmental models could further improve the detection and characterization of prostate cancer.

Purpose

To optimize multicompartmental signal models and apply them to study diffusion in normal and cancerous prostate tissue in vivo.

Study type

Retrospective.

Subjects

Forty-six patients who underwent MRI examination for suspected prostate cancer; 23 had prostate cancer and 23 had no detectable cancer.

Field strength/sequence

3T multishell diffusion-weighted sequence.

Assessment

Multicompartmental models with 2-5 tissue compartments were fit to DWI data from the prostate to determine optimal compartme

SUBMITTER: Conlin CC 

PROVIDER: S-EPMC8178435 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature