ArticleJournal of magnetic resonance imaging : JMRI2026
Multiparametric Quantitative MRI of Peripheral Nerves to Differentiate Demyelinating From Axonal Polyneuropathies.
Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundDifferentiating demyelinating from axonal polyneuropathies helps for accurate diagnosis and treatment. However, the current clinical tools lack sensitivity to confirm demyelination in peripheral nerves, particularly for proximal nerves. HYPOTHESIS: Multiparametric quantitative MRI (qMRI) of peripheral nerves can differentiate demyelination from axonal loss. STUDY TYPE: Retrospective. SUBJECTS: Twenty patients with Charcot-Marie-Tooth type-1 (CMT1, demyelinating, females = 12), 12 patients with CMT2 (axonal, females = 6), 25 patients with hereditary neuropathy with liability to pressure palsies (HNPP, a cohort who often has intermediate changes between the two classifications, females = 17), and 25 healthy controls (HC, females = 14). FIELD-STRENGTH/SEQUENCES: 3 T; 3D gradient-echo and spin-echo echo-planar-imaging-based diffusion tensor imaging. ASSESSMENT: Multiparametric qMRI maps were computed for magnetization transfer ratio (MTR), MT saturation index (MTsat), T STATISTICAL TESTS: Descriptive statistics were performed for group comparisons for each qMRI parameter. Receiver operating characteristic (ROC) analysis with logistic regression was performed to stratify patients. A composite qMRI score, as the CMT Imaging Score (CMTIS), was developed to reflect disease severity using the CMT Neuropathy Score version-2 (CMTNSv2) as a clinical reference. The statistical significance level was set at p < 0.05.
resultsCMT1 showed significantly increased fVol versus HCs (3733.7 ± 1426.9 mm DATA
conclusionsMultiparametric qMRI identified distinct imaging signatures of inherited demyelinating (CMT1) versus axonal (CMT2) polyneuropathies. The CMTIS showed strong potential as a monitoring biomarker in patients with inherited polyneuropathy. EVIDENCE LEVEL: 3. STAGE OF TECHNOLOGY EFFICACY: 3.
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