Echo-Planar Imaging-Based, J-Resolved Spectroscopic Imaging for Improved Metabolite Detection in Prostate Cancer

Abstract

Prostate cancer (PCa) is the most common cancer in men in several countries, with the American Cancer Society (ACS) estimating 241,740 new cases of PCato be diagnosed and deaths of 28,170 men of PCa (1). Due to its prevalence in the male population as well as its unpredictable clinical course, early detection and diagnosis have become a priority for many health care professionals. Another method for staging prostate cancer is through imaging techniques including ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI) with or without the help of dynamic contrast enhancement modeling (DCE-MRI), diffusion weighted imaging(DWI), and magnetic resonance spectroscopy (MRS) (2-5). MRS is a powerful tool for exploring the cellular chemistry of human tissues (3,5,6-11). There is a growing body ofevidence that 1H MRS may contribute to the clinical evaluation of prostate cancer andalso for evaluating the metabolic alterations due to therapy. There have been no reportson combining two spectral dimensions with two-dimensional (2D) or three dimensional (3D) spatial encoding applicable to prostate cancer. Acceleration of magnetic resonance spectroscopic imaging (MRSI) has been demonstrated using echo-planar imaging techniques (12-13). Recently, Schulte et al. have successfully developed an algorithm called prior-knowledge fitting (ProFit) to quantify metabolite concentrations using the JPRESS spectra recorded using a Philips 3T MRI scanner (14). It was demonstrated that metabolite quantitation of JPRESS spectra with ProFit was accurate, robust and yielding generally consistent results, both in vivo and in vitro. Their results suggest that the number of quantifiable prostate metabolites can be increased from 3-4 with 1 DPRESS/LC-Model to more than 10 with JPRESS/ProFit (15-16).

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2015
Accession Number
AD1006398

Entities

People

  • Michael A Thomas

Organizations

  • University of California Regents

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Chemistry
  • Compressed Sensing
  • Computational Science
  • Detection
  • Four Dimensional
  • Health Services
  • Imaging Techniques
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Metabolites
  • Neoplasms
  • Prostate Cancer
  • Regression Analysis
  • Spectroscopy
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Medicine
  • Physics

Readers

  • Medical Imaging.
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