MRI-Derived Cellularity Index as a Potential Noninvasive Imaging Biomarker of Prostate Cancer

Abstract

Standard magnetic resonance imaging (MRI) of the prostate lacks sensitivity in the diagnosis and staging of prostate cancer (PCa). To improve the operating characteristics of prostate MRI in the detection and characterization of PCa, we developed a novel, enhanced MRI diffusion technique using restriction spectrum imaging (RSI-MRI). This technique leads to greater tumor conspicuity and also more accurate localization due to spatial distortion correction techniques. As of this annual report, we show that these techniques increase our ability to detect extraprostatic extension, improve accuracy of targeted biopsies and we show that our quantitative imaging signal (RSI z-score) correlates with Gleason grade on final histopathology.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2016
Accession Number
AD1039094

Entities

People

  • David S. Karow

Organizations

  • University of California, San Diego

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Cancer
  • Carcinoma
  • Cell Membrane
  • Cellular Structures
  • Detection
  • Health Services
  • Imaging Techniques
  • Information Science
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Neoplasms
  • Neuroimaging
  • Oncology
  • Prostate Cancer
  • Regression Analysis

Fields of Study

  • Physics

Readers

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