ArticleAJNR. American journal of neuroradiology2020
Sensitivity of the Inhomogeneous Magnetization Transfer Imaging Technique to Spinal Cord Damage in Multiple Sclerosis.
Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Structural Characterization of Cardiac Free-Running Purkinje Fibers Using Inhomogeneous Magnetization Transfer (ihMT): A Proof of Concept MRI-Histology Approach.NMR in biomedicine · 2026Article
- Microstructural Damage and Repair in the Spinal Cord of Patients With Early Multiple Sclerosis and Association With Disability at 5 Years.Neurology(R) neuroimmunology & neuroinflammation · 2025Article
- Inhomogeneous magnetization transfer (ihMT) imaging reveals variable recovery profiles of active MS lesions according to size and localization.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Spinal cord evaluation in multiple sclerosis: clinical and radiological associations, present and future.Brain communications · 2024Review
- Longitudinal multiparametric MRI of traumatic spinal cord injury in animal models.Magnetic resonance imaging · 2023Review
- High-frequency longitudinal white matter diffusion- and myelin-based MRI database: Reliability and variability.Human brain mapping · 2023Article
- Quantitative myelin imaging with MRI and PET: an overview of techniques and their validation status.Brain : a journal of neurology · 2023Review
- Fast-spin-echo versus rapid gradient-echo for 3D magnetization-prepared acquisitions: Application to inhomogeneous magnetization transfer.Magnetic resonance in medicine · 2023Article
- Comparing myelin-sensitive magnetic resonance imaging measures and resulting g-ratios in healthy and multiple sclerosis brains.NeuroImage · 2022Article
- Opportunities for Molecular Imaging in Multiple Sclerosis Management: Linking Probe to Treatment.Radiology · 2022Review
- Advanced spinal cord MRI in multiple sclerosis: Current techniques and future directions.NeuroImage. Clinical · 2022Review
- Spinal cord and brain tissue impairments as long-term effects of rugby practice? An exploratory study based on TNeuroImage. Clinical · 2022Article
- Imaging of the Spinal Cord in Multiple Sclerosis: Past, Present, Future.Brain sciences · 2020Review
- Magnetization Transfer Ratio in the Typically Developing Pediatric Spinal Cord: Normative Data and Age Correlation.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeThe inhomogeneous magnetization transfer technique has demonstrated high specificity for myelin, and has shown sensitivity to multiple sclerosis-related impairment in brain tissue. Our aim was to investigate its sensitivity to spinal cord impairment in MS relative to more established MR imaging techniques (volumetry, magnetization transfer, DTI). MATERIALS AND
methodsAnatomic images covering the cervical spinal cord from the C1 to C6 levels and DTI, magnetization transfer/inhomogeneous magnetization transfer images at the C2/C5 levels were acquired in 19 patients with MS and 19 paired healthy controls. Anatomic images were segmented in spinal cord GM and WM, both manually and using the AMU
resultsAMU
conclusionsWith inhomogeneous magnetization transfer being highly sensitive to spinal cord damage in MS compared with conventional magnetization transfer and DTI, it could generate great clinical interest for longitudinal follow-up and potential remyelinating clinical trials. In line with other advanced myelin techniques with which it could be compared, it opens perspectives for multicentric investigations.
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Registered trials
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.