Noninvasive in Vivo MRI Assessment of Prostate Cancer Using Hyperpolarized 15N Choline

Abstract

This study involved the use of hyperpolarized 15N choline as potential magnetic resonance imaging (MRI) metabolic agent for prostate cancer diagnostics. The main goal of this study was to monitor the anticipated high uptake of choline in tumors and the subsequent overproduction of phosphocholine due to overexpression of choline kinase. Using dissolution dynamic nuclear polarization (DNP) method, the MRI signal of 15N-enriched choline was amplified to about 48,000-fold measured in a 9.4 T magnet at 298 K. The 15N spin-lattice relaxation time of hyperpolarized choline in the liquid-state was found to be 240 s or 4 minutes. Hyperpolarized 15N choline was tested in vitro in PC-3 prostate cancer cells. We have found that choline metabolism is relatively slow in which it could take several hours to have substantial production of phosphocholinea time scale which is outside the 8-10 minute observation window of hyperpolarized 15N MRI. The scientific efforts in this project have resulted in a number of research papers regarding optimization of hyperpolarized MRI signals and improvement of protocols for metabolic cell studies using hyperpolarization.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2017
Accession Number
AD1039702

Entities

People

  • Lloyd L Lumata

Organizations

  • University of Texas at Dallas

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biomedical Research
  • Blood
  • Cell Physiological Processes
  • Chemical Synthesis
  • Chemistry
  • Culture Techniques
  • Electronic Mail
  • Enzyme Kinetics
  • Magnetic Fields
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Metabolic Diseases
  • Metabolism
  • Neoplasms
  • Specific Heat
  • Two Dimensional

Fields of Study

  • Medicine

Readers

  • Neuroscience
  • Oncology (Cancer Research).
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.