Establishment of normal ranges for N-acetyl aspartate, choline, creatine, myo-inositol, and lipids/lactate in healthy brain tissue using proton magnetic resonance spectroscopy (1H-MRS)

Introduction: This study aims to establish normal ranges for the metabolites N-acetyl aspartate (NAA), choline (Cho), creatine (Cr), myo-inositol (mI), and lipids/lactate (Lip/Lac) in healthy brain tissue using proton magnetic resonance spectroscopy ( 1 H-MRS) with 1.5T MRI equipment. Objective: Determine the normal ranges of NAA, Cho, Cr, mI, and Lip/Lac in healthy brain parenchyma. These normal ranges are necessary for the training of Artificial intelligence or the implementation of machine learning approaches. Without these ranges, automatic classification based on NAA, Cho, and Cr is not feasible. Methodology: The analysis included 60 patients (24 females and 36 males) with a total of 150 spectra (some patients contributed more than one spectrum). All spectra were acquired from structurally normal brain regions with no signal abnormalities in any MRI sequence. Normal ranges were established for each metabolite concentration, and linear regressions were performed to assess age-related changes. ROC curves were constructed to evaluate diagnostic accuracy. Results: The normal ranges established were: [Cho]n: 42.8 ± 1.66, [Cr]n: 42.3 ± 1.22, [NAA]n: 78.9 ± 1.04, [Lip/Lac]n: 28.7 ± 3.16, [mI]n: 10.8 ± 0.80. No significant differences were observed in the metabolites in terms of gender or echo time (TE). Normalized concentrations of Cho, Lip/Lac, and mI increased linearly with age, whereas NAA decreased significantly with age, indicating a loss of neurons related to ageing. Based on the results, we propose the following equation to calculate the normal range of metabolite concentrations according to age: [M]a = β coefficient× age + [M]x, where [M]a represents the age-adjusted normalized concentration of the metabolite, and [M]x is the average concentration of the metabolite. Conclusions: 1 H-MRS is a non-invasive diagnostic technique that allows the establishment of normal ranges for cerebral metabolites in healthy brain parenchyma. These reference points aid in the clinical interpretation of spectroscopy studies in patients with brain pathologies.

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Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.364
Primary Topic
Advanced MRI Techniques and Applications
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article
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article

Establishment of normal ranges for N-acetyl aspartate, choline, creatine, myo-inositol, and lipids/lactate in healthy brain tissue using proton magnetic resonance spectroscopy (1H-MRS)

Wilhelm Daniel Scherz, Ralf Seepold, Carlos F. Arias, J. Martı́nez et al.
Procedia Computer Science
Advanced MRI Techniques and Applications
article

Establishment of normal ranges for N-acetyl aspartate, choline, creatine, myo-inositol, and lipids/lactate in healthy brain tissue using proton magnetic resonance spectroscopy (1H-MRS)

Wilhelm Daniel Scherz, Ralf Seepold, Carlos F. Arias, J. Martı́nez, Yesid Cardozo Vélez
article en

Abstract

Introduction: This study aims to establish normal ranges for the metabolites N-acetyl aspartate (NAA), choline (Cho), creatine (Cr), myo-inositol (mI), and lipids/lactate (Lip/Lac) in healthy brain tissue using proton magnetic resonance spectroscopy ( 1 H-MRS) with 1.5T MRI equipment. Objective: Determine the normal ranges of NAA, Cho, Cr, mI, and Lip/Lac in healthy brain parenchyma. These normal ranges are necessary for the training of Artificial intelligence or the implementation of machine learning approaches. Without these ranges, automatic classification based on NAA, Cho, and Cr is not feasible. Methodology: The analysis included 60 patients (24 females and 36 males) with a total of 150 spectra (some patients contributed more than one spectrum). All spectra were acquired from structurally normal brain regions with no signal abnormalities in any MRI sequence. Normal ranges were established for each metabolite concentration, and linear regressions were performed to assess age-related changes. ROC curves were constructed to evaluate diagnostic accuracy. Results: The normal ranges established were: [Cho]n: 42.8 ± 1.66, [Cr]n: 42.3 ± 1.22, [NAA]n: 78.9 ± 1.04, [Lip/Lac]n: 28.7 ± 3.16, [mI]n: 10.8 ± 0.80. No significant differences were observed in the metabolites in terms of gender or echo time (TE). Normalized concentrations of Cho, Lip/Lac, and mI increased linearly with age, whereas NAA decreased significantly with age, indicating a loss of neurons related to ageing. Based on the results, we propose the following equation to calculate the normal range of metabolite concentrations according to age: [M]a = β coefficient× age + [M]x, where [M]a represents the age-adjusted normalized concentration of the metabolite, and [M]x is the average concentration of the metabolite. Conclusions: 1 H-MRS is a non-invasive diagnostic technique that allows the establishment of normal ranges for cerebral metabolites in healthy brain parenchyma. These reference points aid in the clinical interpretation of spectroscopy studies in patients with brain pathologies.

Procedia Computer ScienceVol. 270
University of Konstanz (DE), Technological University of Pereira (CO), Instituto de Recursos Naturales y Agrobiología de Sevilla (ES), Universidad de Sevilla (ES), HTWG Hochschule Konstanz - Technik, Wirtschaft und Gestaltung (DE)
Openalex Percentile: Top 52%
Advanced MRI Techniques and Applications
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