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Lactate quantification by proton magnetic resonance spectroscopy using a clinical MRI machine: a basic study.

T Isobe1, A Matsumura, I Anno

  • 1School of Allied Health Sciences, Kitasato University, Sagamihara, Kanagawa 228-8555, Japan. tiso@kitasato-u.ac.jp

Australasian Radiology
|July 20, 2007
PubMed
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This study developed a reliable proton magnetic resonance spectroscopy (MRS) method for quantifying lactate concentration using a 1.5-T MRI. The method accurately measured lactate in phantoms and a patient with MELAS.

Area of Science:

  • Biomedical Imaging
  • Metabolic Disorders
  • Spectroscopy

Background:

  • Lactate accumulation is a key indicator of metabolic dysfunction.
  • Accurate quantification of lactate is crucial for diagnosing and monitoring various diseases.
  • Proton magnetic resonance spectroscopy (MRS) offers a non-invasive method for in vivo metabolite quantification.

Purpose of the Study:

  • To establish a reliable quantification method for lactate concentration using proton MRS on a conventional 1.5-T MRI scanner.
  • To validate the method using a lactate phantom with known concentrations.
  • To demonstrate the clinical applicability of the method in a patient with MELAS.

Main Methods:

  • Proton MRS was performed on a 1.5-T MRI system using point resolved spectroscopy.

Related Experiment Videos

  • Lactate phantoms with concentrations ranging from 1 to 14 mmol/L were analyzed.
  • T2 relaxation time was calculated using specific echo times, and tissue water served as an internal standard for quantification.

    • Main Results:

    • A strong correlation (R=0.99) was observed between calculated and known lactate concentrations in phantoms.
    • The established method demonstrated high accuracy with a constant factor of 0.32.
    • In a patient with MELAS, MRS measured a lactate concentration of 6.2 mmol/kg wet weight, consistent with previous findings.

    Conclusions:

    • A reliable method for lactate quantification by proton MRS on a 1.5-T MRI has been successfully established.
    • The method is validated by phantom studies and shows promise for clinical applications.
    • This technique can aid in the diagnosis and management of conditions associated with lactate accumulation, such as MELAS.