Novel Diffusion-Weighted MRI for High-Grade Prostate Cancer Detection

Abstract

Our initial findings illustrate the potential of the stretched exponential model parameters to better characterize high-grade prostate cancer. Additional work is underway to establish the correspondence between the DDC and a-maps with histological sections of the entire prostate gland. Given the technical difficulty with comparison of radical prostatectomy histology with imaging, we have also introduced a method to evaluate the accuracy of our novel diffusion imaging with biopsy histology.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2017
Accession Number
AD1048462

Entities

People

  • Andre Kajdacsy-balla
  • Brandon Caldwell
  • Hong-Cai Zhou
  • Michael Abern
  • Peter H Gann
  • Richard Magin
  • Virgilia Macias

Organizations

  • University of Illinois at Chicago

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Biomedical Research
  • Department Of Defense
  • Detection
  • Diffusion
  • Diffusion Coefficient
  • Epidemiology
  • Histological Techniques
  • Histology
  • Magnetic Resonance
  • Medical Personnel
  • Neoplasms
  • Prostate
  • Prostate Cancer
  • Prostate Gland
  • Statistical Analysis
  • United States

Readers

  • Computational Modeling and Simulation
  • Medical Imaging.
  • Oncology (Cancer Research).