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Quantitative J-resolved prostate spectroscopy using two-dimensional prior-knowledge fitting.

Thomas Lange1, Rolf F Schulte, Peter Boesiger

  • 1Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, Switzerland.

Magnetic Resonance in Medicine
|April 23, 2008
PubMed
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Prior-knowledge fitting (ProFit) accurately quantifies prostate metabolites from J-resolved (JPRESS) spectra. This advanced method reliably detects key metabolites, aiding in prostate cancer detection.

Area of Science:

  • Magnetic Resonance Spectroscopy
  • Medical Imaging
  • Biochemistry

Background:

  • Prostate metabolite quantification is crucial for diagnosing and monitoring prostate cancer.
  • Current methods like line fitting and peak integration have limitations in accuracy and reproducibility.
  • J-resolved (JPRESS) spectroscopy offers enhanced spectral information compared to conventional methods.

Purpose of the Study:

  • To adapt and apply two-dimensional (2D) prior-knowledge fitting (ProFit) for quantifying J-resolved (JPRESS) spectra from the human prostate in vivo.
  • To evaluate the performance of ProFit for metabolite quantification, focusing on its independence from sequence and field strength.
  • To assess the reliability of ProFit in detecting key prostate metabolites and their potential as cancer biomarkers.

Main Methods:

Related Experiment Videos

  • Adaptation and application of 2D prior-knowledge fitting (ProFit) algorithm.
  • Acquisition of J-resolved (JPRESS) spectra from the human prostate at 3T.
  • Validation through repetitive measurements on a single subject and a study on healthy volunteers.

Main Results:

  • ProFit provides metabolite concentration ratios independent of sequence and field strength by using a linear combination of 2D basis spectra.
  • ProFit demonstrated improved quantification of coupled metabolites (citrate, spermine, myo-inositol) due to increased information content and reduced baseline distortion in JPRESS spectra.
  • Six prostate metabolites (creatine, total choline, citrate, spermine, myo-inositol, scyllo-inositol) were reliably detected in vivo.
  • Total choline and citrate were identified as particularly useful markers for prostate cancer detection.

Conclusions:

  • 2D ProFit is a robust and reliable method for in vivo prostate metabolite quantification using JPRESS spectra.
  • The ProFit method offers advantages over traditional techniques, providing field-strength-independent metabolite ratios.
  • Detected metabolites, especially total choline and citrate, show promise as non-invasive biomarkers for prostate cancer diagnosis.