ReviewAJNR. American journal of neuroradiology2020
Advanced Multicompartment Diffusion MRI Models and Their Application in Multiple Sclerosis.
Review 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 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- TAnnals of clinical and translational neurology · 2026Article
- Improving the Detection of Myelin Integrity in Multiple Sclerosis Using Selective Inversion Recovery for MRI With Quantitative Magnetization Transfer.Journal of magnetic resonance imaging : JMRI · 2025Article
- Microstructural abnormalities of the dentato-rubro-thalamo-cortical tract in tremor dominant Parkinson's disease and essential tremor plus syndrome.Neuroradiology · 2025Article
- Review
- The ageing central nervous system in multiple sclerosis: the imaging perspective.Brain : a journal of neurology · 2024Review
- Cognitive Impairment in Cerebral Small Vessel Disease Is Associated with Corpus Callosum Microstructure Changes Based on Diffusion MRI.Diagnostics (Basel, Switzerland) · 2024Article
- Influence of preprocessing, distortion correction and cardiac triggering on the quality of diffusion MR images of spinal cord.Magnetic resonance imaging · 2024Article
- Diffusion MRI with Machine Learning.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- The contribution of preclinical magnetic resonance imaging and spectroscopy to Huntington's disease.Frontiers in aging neuroscience · 2024Review
- Spinal cord evaluation in multiple sclerosis: clinical and radiological associations, present and future.Brain communications · 2024Review
- Emotional Regulation and Adolescent Concussion: Overview and Role of Neuroimaging.International journal of environmental research and public health · 2023Review
- Microstructural changes precede depression in patients with relapsing-remitting Multiple Sclerosis.Communications medicine · 2023Article
- The Value of Various Post-Processing Modalities of Diffusion Weighted Imaging in the Detection of Multiple Sclerosis.Brain sciences · 2023Review
- In-vivo characterization of macro- and microstructural injury of the subventricular zone in relapsing-remitting and progressive multiple sclerosis.Frontiers in neuroscience · 2023Article
- Central vein sign and diffusion MRI differentiate microstructural features within white matter lesions of multiple sclerosis patients with comorbidities.Frontiers in neurology · 2023Article
- Automated motion artifact detection in early pediatric diffusion MRI using a convolutional neural network.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Beyond Diffusion Tensor MRI Methods for Improved Characterization of the Brain after Ischemic Stroke: A Review.AJNR. American journal of neuroradiology · 2022Review
- Advanced Diffusion MR Imaging for Multiple Sclerosis in the Brain and Spinal Cord.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Review
- Microstructure-Weighted Connectomics in Multiple Sclerosis.Brain connectivity · 2022Review
- White matter tracts that overlap with the thalamus and the putamen are protected against multiple sclerosis pathology.Multiple sclerosis and related disorders · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Conventional MR imaging techniques are sensitive to pathologic changes of the brain and spinal cord seen in MS, but they lack specificity for underlying axonal and myelin integrity. By isolating the signal contribution from different tissue compartments, newly developed advanced multicompartment diffusion MR imaging models have the potential to detect specific tissue subtypes and associated injuries with increased pathologic specificity. These models include neurite orientation dispersion and density imaging, diffusion basis spectrum imaging, multicompartment microscopic diffusion MR imaging with the spherical mean technique, and models enabled through high-gradient diffusion MR imaging. In this review, we provide an appraisal of the current literature on the physics principles, histopathologic validation, and clinical applications of each of these techniques in both brains and spinal cords of patients with MS. We discuss limitations of each of the methods and directions that future research could take to provide additional validation of their roles as biomarkers of axonal and myelin injury in MS.
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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.