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. 2025 Jun;61(6):2444-2454.
doi: 10.1002/jmri.29666. Epub 2024 Dec 10.

Improving the Detection of Myelin Integrity in Multiple Sclerosis Using Selective Inversion Recovery for MRI With Quantitative Magnetization Transfer

Affiliations

Improving the Detection of Myelin Integrity in Multiple Sclerosis Using Selective Inversion Recovery for MRI With Quantitative Magnetization Transfer

Ahmad A Toubasi et al. J Magn Reson Imaging. 2025 Jun.

Abstract

Background: Selective inversion recovery quantitative magnetization transfer (SIR-qMT)-derived macromolecular to free water pool size ratio (PSR) and diffusion tensor imaging (DTI)-derived radial diffusivity (RD) are potential metrics for assessing myelin integrity in multiple sclerosis (MS). However, establishing their accuracy in identifying tissue injury is essential for clinical translation.

Purpose: To compare the accuracy and Cohen's effect size (ES) of PSR and RD in detecting and quantifying tissue injury in early MS.

Study type: Cross-sectional prospective study.

Subjects: Fourty-three subjects with newly diagnosed MS (mean age 38 ± 11 years, 70% females) and 18 age- and sex-matched healthy controls (HCs; age 38 ± 12 years, 62.5% females).

Field strength/sequence: 3-T MRI using T1-weighted (T1-w) turbo spin echo, T2-w fluid-attenuated inversion recovery (FLAIR), DTI, and SIR-qMT sequences.

Assessment: T2-lesions were identified as hyperintense on T2-w-FLAIR, and chronic black holes (cBHs) by simultaneous T2-w-FLAIR hyperintensity and T1-w hypointensity. Regions of interest (ROIs) in normal-appearing white matter (NAWM) were classified as proximal (p) or distant (d) to lesions, while normal white matter (NWM) was identified in HCs. PSR and RD values of T2-lesions and cBHs were compared to their matched p/dNAWM and NWM in HCs. Comparisons were also made between T2-lesions and cBHs.

Statistical tests: Receiver operating characteristic curves evaluated metric accuracy, and paired t tests compared ES values of PSR and RD, with significance set at P < 0.050.

Results: We identified 823 T2-lesions, 392 cBHs, 426 p-, and 213 d-NAWM ROIs in patients, and 162 NWM ROIs in HCs. PSR differed significantly in all comparisons, while RD was differed in all except cBHs vs. T2-lesions (P = 0.051). PSR had significantly higher accuracy in differentiating T2-lesions from p/dNAWM and NWM, with a larger ES when comparing T2-lesions to p/dNAWM and NWM and cBHs to pNAWM and NWM.

Data conclusion: PSR offers superior accuracy and ES over RD in detecting tissue injury in MS.

Level of evidence: 1 TECHNICAL EFFICACY: Stage 2.

Keywords: diffusion tensor imaging; multiple sclerosis; myelin; selective inversion recovery quantitative magnetization transfer imaging.

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Conflict of interest statement

None of the authors has any competing interest to declare.

Figures

FIGURE 1
FIGURE 1
Anatomical sequences and parametric maps. T2‐weighted (T2‐w) fluid‐attenuated inversion recovery (a) and T1‐w turbo spin echo (b) sequences were used for tissue class identification. Co‐registered macromolecular‐to‐free water pool size ratio (c), relative color‐scaled heat map in (e), and radial diffusivity (d), relative color‐scaled heat map in (f) parametric maps were derived from selective inversion recovery quantitative magnetization transfer and diffusion tensor imaging, respectively, and used to derive quantitative measurements. The white arrow represents T2‐lesions while the black arrows represent chronic black holes.
FIGURE 2
FIGURE 2
Examples of the comparators' pairs. Differences in the macromolecular‐to‐free water pool size ratio (PSR) and radial diffusivity (RD) were computed between the following pairs: T2‐lesions (white arrow) and corresponding proximal (white boxes anterior and posterior to the lesions in a1)/distant (white box contralateral to the lesions in a1) normal appearing white matter (NAWM) and normal white matter (NWM) in healthy controls (white box in a2); chronic black holes (cBHs) (black arrow in b1) and corresponding proximal (black boxes posterior and anterior to the cBH in b1)/distant NAWM (black box contralateral to the cBH in b1) and NWM (black box in b2); cBHs (black arrow in b1) and contralateral T2‐lesion (black arrow in a1)
FIGURE 3
FIGURE 3
Differences in macromolecular‐to‐free water pool size ratio (PSR) between different types of tissues. In (a) we present the PSR values measured in chronic black holes (cBHs) and anatomically matched T2‐lesions, proximal (p) and distant (d) normal‐appearing white matter (NAWM), and normal white matter (NWM) of healthy controls. In (b) we present PSR values measured in a different set of T2‐lesions and anatomically matched pNAMW and dNAWM, and NWM. T2‐lesions, pNAWM, dNAWM, and NWM in (a) indicate the regions of interest matched to cBHs. pNAWM ROIs and dNAWM, and NWM in (b) indicate the ROIs matched to a different subset of T2‐lesions. In the violin plot, the height represents the values of the metric, the width indicates the number of lesions, and the horizontal black line represents the PSR median value.
FIGURE 4
FIGURE 4
Differences in radial diffusivity (RD) between different types of tissues. In (a) we present the RD values measured in chronic black holes (cBHs) and anatomically matched T2‐lesions, proximal (p) and distant (d) normal‐appearing white matter (NAWM), and normal white matter (NWM) of healthy controls. In (b) we present RD values measured in T2‐lesions and anatomically matched pNAWM, dNAWM and NWM. T2‐lesions, pNAWM, dNAWM and NWM in (a) indicate the regions of interest matched to cBHs. pNAWM and dNAWM, and NWM in (b) indicate the ROIs matched to a different subset of T2‐lesions. In the violin plot, the height represents the values of the metric, the width indicates the number of lesions, and the horizontal black line represents the RD median value.
FIGURE 5
FIGURE 5
Receiver operating characteristic (ROC) curves. The following pairs are presented: T2‐lesions and normal white matter (NWM) in healthy controls (HCs, a); chronic black holes (cBHs) and NWM in HCs (b); T2‐lesions and proximal normal appearing white matter (pNAWM) (c); T2‐lesions and distant (d) NAWM (d); cBHs and pNAWM (e); cBHs and dNAWM (f). The inverted RD value (1/RD) is presented to facilitate the visualization and the comparisons between PSR and RD. The blue curve indicates PSR, the grey curve indicates 1/RD and the green line is the reference line (50%).
FIGURE 6
FIGURE 6
Macromolecular to free‐pool size ratio (PSR) and radial diffusivity (RD) effect size (ES). We report the ES of pairs for which PSR performed significantly better than RD. The following pairs are presented: T2‐lesions and normal white matter (NWM) of healthy controls (a); T2‐lesions and distant normal‐appearing white matter (dNAWM, b); T2‐lesions and proximal (p) NAWM (c); chronic black holes (cBHs) and NWM (d); cBHs and pNAWM (e). The blue boxes represent PSR values while the grey boxes represent RD values. In the violin plot, the height represents the values of the metric, the width indicates the number of lesions, and the horizontal black line represents the metric median value.

References

    1. Jakimovski D, Bittner S, Zivadinov R, et al. Multiple sclerosis. Lancet 2024;403:183‐202. - PubMed
    1. Bagnato F, Gauthier SA, Laule C, et al. Imaging mechanisms of disease progression in multiple sclerosis: Beyond brain atrophy. J Neuroimaging 2020;30:251‐266. - PubMed
    1. Aunt WY, Mar S, Benzinger TLS. Diffusion tensor MRI as a biomarker in axonal and myelin damage. Imaging Med 2013;5(5):427‐440. - PMC - PubMed
    1. Wu W, Miller KL. Image formation in diffusion MRI: A review of recent technical developments. J Magn Reson Imaging 2017;46(3):646‐662. - PMC - PubMed
    1. Lakhani DA, Schilling KG, Xu J, Bagnato F. Advanced multicompartment diffusion MRI models and their application in multiple sclerosis. AJNR Am J Neuroradiol 2020;41(5):751‐757. - PMC - PubMed