Novel Diffusion-Weighted MRI for High-Grade Prostate Cancer Detection
Abstract
Accurate detection of aggressive prostate cancer (PCa) using existing clinical prediction tools is a challenge. Prostate MRI is promising technology for PCa detection and characterization. However, its accuracy has been sub-optimal especially in the setting of benign prostate inflammation or hyperplasia. We have developed a more sophisticated computational model of diffusion weighted MRI (FROC-DWI) that produces quantitative information regarding tissue architecture in-vivo. We also acknowledge additional models of water DWI and compute those as comparisons. We hypothesize that the use of FROC-DWI in men with clinical suspicion for PCa will differentiate high grade PCa from indolent PCa and benign prostate pathology and therefore improve biopsy detection of aggressive PCa as compared to existing models and clinical standards.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2019
- Accession Number
- AD1090647
Entities
People
- Andre Kajdacsy-balla
- Brandon Caldwell
- Hari Vigneswaran
- Hong-Cai Zhou
- Meltem Uyanik
- Michael Abern
- Peter H Gann
- Richard Magin
- Virgilia Macias
Organizations
- University of Illinois at Chicago