AI Article Synopsis

  • H-MRS (hydrogen magnetic resonance spectroscopy) is a technique that detects 2-hydroxyglutarate (2-HG), a substance that accumulates in gliomas with IDH gene mutations, which are common in brain tumors.
  • A study with 38 patients compared two software tools for accurately quantifying 2-HG levels, focusing on how different baseline correction methods affect the results.
  • Both methods yielded similar average concentrations of 2-HG, but variations in baseline correction influenced readings, highlighting the need for standardized procedures to ensure reliable clinical use as a biomarker.

Article Abstract

H-MRS enables non-invasive detection of 2-hydroxyglutarate (2-HG), an oncometabolite accumulating in gliomas carrying mutations in the isocitrate dehydrogenase (IDH) genes. Reliable 2-HG quantitation requires reproducible post-processing, deployment of fitting algorithms and quantitation methods. We prospectively enrolled 38 patients with suspected or recently diagnosed gliomas (IDH mutated n = 26). The MRI protocol included a H single voxel PRESS sequence with volumes of usually 8 mL or more (20 × 20 × 20 mm ) at T  = 97 ms and 180° pulse spacing. Our aim was to evaluate the reliability of 2-HG quantitation comparing two frequently used software tools and their respective options of baseline correction (jMRUI with the time domain methods AQSES and QUEST, and LCModel, which analyzes the frequency domain data). For AQSES, degrees of freedom for baseline correction constrains were varied. For LCModel, baseline correction was obtained with and without correction of the unknown background term (predefined macromolecules, lipids). Tissue concentrations were calculated based on the phantom replacement method. Quantitation of 2-HG levels showed similar mean 2-HG tissue concentrations for IDH mutated tumors (2.65mM, range 3.06-2.20) for all methods. Bland-Altman plots (difference plots) did not reveal a systematic bias (fixed bias) for any of the algorithms tested, and we were able to show a significant correlation regarding 2-HG concentration at the same echo time with few statistical outliers (parametric correlation). However, evaluation of outliers suggested that in vivo quantitation of 2-HG is affected not only by the fitting domain (time or frequency), but also by the baseline correction, which is a major contributing factor to the result of 2-HG fitting. Clinical application of 2-HG quantitation as a prognostic or predictive biomarker, particularly in multicenter trials, requires standardized use of fitting methods and baseline correction procedures.

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Source
http://dx.doi.org/10.1002/nbm.4027DOI Listing

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