Voxel‐level Classification of Prostate Cancer on Magnetic Resonance Imaging: Improving Accuracy Using Four‐Compartment Restriction Spectrum Imaging
Abstract
Diffusion magnetic resonance imaging (MRI) is integral to detection of prostate cancer (PCa), but conventional apparent diffusion coefficient (ADC) cannot capture the complexity of prostate tissues and tends to yield noisy images that do not distinctly highlight cancer. A four‐compartment restriction spectrum imaging (RSI4) model was recently found to optimally characterize pelvic diffusion signals, and the model coefficient for the slowest diffusion compartment, RSI4‐C1, yielded greatest tumor conspicuity.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 31, 2021
- Source ID
- 10.1002/jmri.27623
Entities
People
- Aaron Simon
- Ana E Rodriguez-Soto
- Anders M. Dale
- Christine H Feng
- Christopher C Conlin
- Joshua Kuperman
- Kanha Batra
- Michael E Hahn
- Rebecca Rakow‐penner
- Roshan Karunamuni
- Tyler M Seibert
Organizations
- Foundation for the National Institutes of Health
- Prostate Cancer Foundation
- United States Department of Defense
- University of California, San Diego