ArticleJournal of magnetic resonance imaging : JMRI2024
Multiparametric Quantitative MRI of Peripheral Nerves in the Leg: A Reliability Study.
Article in Journal of magnetic resonance imaging : JMRI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Multiparametric Quantitative MRI of Peripheral Nerves to Differentiate Demyelinating From Axonal Polyneuropathies.Journal of magnetic resonance imaging : JMRI · 2026Article
- Neuronal plasticity during motor rehabilitation training after spinal cord injury.Communications biology · 2026Article
- Modeling Postoperative Nerve Regeneration Using Diffusion MRI: A Preclinical Study of a Novel Mathematical Approach.Muscle & nerve · 2026Article
- Multiparametric Quantitative MRI of Peripheral Nerves to Differentiate Demyelinating from Axonal Polyneuropathies.medRxiv : the preprint server for health sciences · 2025Article
- Quantitative Ultrashort Echo Time MRI for Evaluation of Sciatic Nerve Degeneration and Regeneration in Rat Models.Radiology · 2025Article
- Magnetic Resonance Imaging of the Peripheral Nerves and Fascicles of the Knee Using Double Echo Steady State Sequence at 7 Tesla.Korean journal of radiology · 2025Article
- Temporal dynamics of white and gray matter plasticity during motor skill acquisition: a comparative diffusion tensor imaging and multiparametric mapping analysis.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- AI driven analysis of MRI to measure health and disease progression in FSHD.Scientific reports · 2024Article
- Response to "Validity of Quantitative, Multi-Parametric MRI in the Diagnosis of Polyneuropathies".Journal of magnetic resonance imaging : JMRI · 2024Article
- Magnetic resonance imaging and ultrasound elastography in the context of preclinical pharmacological research: significance for the 3R principles.Frontiers in pharmacology · 2023Review
- High-Field Diffusion Tensor Imaging of Median, Tibial, and Sural Nerves in Type 2 Diabetes With Morphometric Analysis.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundPatients with polyneuropathies typically have demyelination and/or axonal degeneration in peripheral nerves. Currently, there is a lack of imaging biomarkers to track the changes in these pathologies. PURPOSE: To develop and evaluate the reliability of a multiparametric quantitative magnetic resonance imaging (qMRI) method of peripheral nerves in the leg. STUDY TYPE: Prospective. SUBJECTS: Seventeen healthy volunteers (36.2 ± 13.8 years old, 9 males) with 10 of them scanned twice for test-retest. FIELD STRENGTH/SEQUENCE: 3 T, three-dimensional gradient echo and diffusion tensor imaging. ASSESSMENT: A qMRI protocol and processing pipeline was established for quantifying the following nerve parameters that are sensitive to myelin and axonal pathologies: magnetization transfer (MT) ratio (MTR), MT saturation index (MTsat), T STATISTICAL TESTS: The intersession reproducibility and inter-rater reliability of each qMRI parameter were assessed by Bland-Altman analysis and intraclass correlation coefficient (ICC). Pairwise Pearson correlation analyses were performed to investigate the intrinsic association between qMRI parameters. Distal-to-proximal variations were evaluated by paired t-tests with Bonferroni-Holm multiple comparison corrections. P < 0.05 was considered statistically significant.
resultsThe MTR, MTsat, T DATA
conclusionThe proposed multiparametric qMRI method of the peripheral nerves is highly reproducible and provided healthy control data which will be used in developing monitoring biomarkers in patients with polyneuropathies. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 2.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.