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A versatile look-up algorithm for mapping pH values and magnesium ion content using 31P MRSI.

Vanessa L Franke1, Johannes Breitling1, Philip S Boyd1

  • 1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

NMR in Biomedicine
|February 5, 2024
PubMed
Summary

This study introduces a new method for accurately measuring pH and magnesium (Mg) in tissues using 31P MRSI. The approach works independently of physiological conditions, offering better insights into diseased states.

Keywords:
31P MRS31P MRSImagnesiummagnesium ion concentrationpHpH imaging

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Area of Science:

  • Biophysics
  • Biochemistry
  • Medical Imaging

Background:

  • Phosphorus-31 Magnetic Resonance Spectroscopic Imaging (31P MRSI) non-invasively maps pH and magnesium (Mg) using chemical shifts of inorganic phosphate and adenosine-5'-triphosphate (ATP).
  • Conventional calibration equations for 31P MRSI are often limited to physiological conditions, posing challenges for analyzing diseased tissues with altered biochemical environments.

Purpose of the Study:

  • To develop and validate a condition-independent multi-parametric look-up algorithm for determining pH and Mg using 31P MRSI.
  • To improve the accuracy and applicability of 31P MRSI in diverse biochemical conditions, including disease states.

Main Methods:

  • A multi-parametric look-up algorithm was developed utilizing multiple quantifiable 31P spectral properties simultaneously.
  • A look-up table was generated using measurements from 114 model solutions at 9.4 T, with entries expanded via interpolation using a Hill equation-based function.
  • pH and Mg determination incorporated probability distributions accounting for measurement uncertainties, estimating the most plausible values.

Main Results:

  • The algorithm was successfully applied to in vivo 3D 31P MRSI data from healthy volunteers' leg muscles and glioblastoma patients' brains at 7 T.
  • Generated volumetric maps of pH and Mg showed plausible values and highlighted differences compared to conventional calibration methods.
  • The proof-of-concept demonstrated the algorithm's capability in real-world clinical and research scenarios.

Conclusions:

  • The proposed multi-parametric look-up algorithm enables condition-independent determination of pH and Mg using 31P MRSI.
  • This novel approach enhances the reliability of 31P MRSI for studying biochemical parameters in both healthy and diseased tissues.
  • The findings suggest improved diagnostic potential for 31P MRSI in conditions with altered biochemical environments.