ArticleMultiple sclerosis and related disorders2013
Quantification of blood-to-brain transfer rate in multiple sclerosis.
Article in Multiple sclerosis and related disorders, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Automatic detection of arterial input function for brain DCE-MRI in multi-site cohorts.Magnetic resonance in medicine · 2025Article
- Imaging blood-brain barrier disruption in neuroinflammation and Alzheimer's disease.Frontiers in aging neuroscience · 2023Review
- Blood-brain barrier permeability measured using dynamic contrast-enhanced magnetic resonance imaging: a validation study.The Journal of physiology · 2019Article
- Blood-Brain Barrier: From Physiology to Disease and Back.Physiological reviews · 2019Review
- Neurovascular Unit: Basic and Clinical Imaging with Emphasis on Advantages of Ferumoxytol.Neurosurgery · 2018Review
- Article
- Accurate determination of blood-brain barrier permeability using dynamic contrast-enhanced T1-weighted MRI: a simulation and in vivo study on healthy subjects and multiple sclerosis patients.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2014Article
- Quantification of Blood-Brain-Barrier Permeability Dysregulation and Inflammatory Activity in MS Lesions by Dynamic-Contrast Enhanced MR Imaging.Basic and clinical neuroscienceArticle
- Blood-brain barrier permeability in relation to disease severity and timing of multiple sclerosis diagnosis in optic neuritis.Multiple sclerosis journal - experimental, translational and clinicalArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Blood-brain barrier (BBB) disruption visualized in lesions by MRI is a major biomarker of disease activity in multiple sclerosis (MS). However, in MS, destruction occurs to a variable extent in lesions as well as in gray matter (GM) and in the normal appearing white matter (NAWM). A method to quantify the BBB disruption in lesions as well as in non-lesion areas would be useful for assessment of MS progression and treatments. The objective of this study was to quantify the BBB transfer rate (Ki) in WM lesions, in the NAWM, and in the full-brain of MS patients. Thirteen MS patients with active lesions and 10 healthy controls with age and gender matching were recruited for full-brain and WM Ki studies. Dynamic contrast-enhanced MRI (DCEMRI) scans were conducted using T1 mapping with partial inversion recovery (TAPIR), a fast T1 mapping technique, following administration of a quarter-dose of the contrast agent Gadolinium-DTPA (Gd-DTPA). The Patlak modeling technique was used to derive a voxel-based map of Ki. In all patients contrast-enhanced lesions, quantified by Ki maps, were observed. Compared with controls, patients with MS exhibited an increase in mean Ki of the full-brain (P-value<0.05) but no significant difference in mean Ki of NAWM. The identified increase in full-brain Ki of MS patients suggests a global vascular involvement associated with MS disease. The lack of observed significant decrease in Ki in NAWM suggests lower involvement of WM vasculature than full-brain vasculature in MS. Ki maps constructed from time series data acquired by DCEMRI provide additional information about BBB that could be used for evaluation of vascular involvement in MS and monitoring treatment effectiveness.
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Registered trials
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