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. Development of a non-invasive quantitative imaging biomarker for high grade PCa will be useful for improving biopsy yield and grade accuracy, accurately identifying men appropriate for surveillance versus curative therapy, and reduce biopsies needed.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2018
Accession Number
AD1095816

Entities

People

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

Organizations

  • University of Illinois at Chicago

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Data Analysis
  • Department Of Defense
  • Detection
  • Diffusion
  • Epidemiology
  • Health Services
  • Histological Techniques
  • Histology
  • Image Processing
  • Image Registration
  • Magnetic Resonance
  • Medical Personnel
  • Neoplasms
  • Prostate
  • Prostate Cancer
  • Tissues

Fields of Study

  • Medicine

Readers

  • Medical Imaging.
  • Oncology and Biomarker-Based Cancer Detection.