Daniel M Harrison1, Jiwon Oh2, Snehashis Roy3, Emily T Wood4, Anna Whetstone2, Michaela A Seigo2, Craig K Jones5, Dzung Pham3, Peter van Zijl6, Daniel S Reich7, Peter A Calabresi2. 1. Department of Neurology, Johns Hopkins University School of Medicine, Johns Hopkins School of Medicine, USA dharri90@jhmi.edu. 2. Department of Neurology, Johns Hopkins University School of Medicine, Johns Hopkins School of Medicine, USA. 3. Center for Neuroscience and Regenerative Medicine, Henry Jackson Foundation, Uniformed Services University of the Health Sciences, USA. 4. Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), USA/Department of Neuroscience, Johns Hopkins School of Medicine, USA. 5. F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, USA/Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, USA. 6. F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, USA/Department of Neuroscience, Johns Hopkins School of Medicine, USA/Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, USA. 7. Department of Neurology, Johns Hopkins University School of Medicine, Johns Hopkins School of Medicine, USA/Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), USA/Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, USA.
Abstract
OBJECTIVE: Pathology in both cortex and deep gray matter contribute to disability in multiple sclerosis (MS). We used the increased signal-to-noise ratio of 7-tesla (7T) MRI to visualize small lesions within the thalamus and to relate this to clinical information and cortical lesions. METHODS: We obtained 7T MRI scans on 34 MS cases and 15 healthy volunteers. Thalamic lesion number and volume were related to demographic data, clinical disability measures, and lesions in cortical gray matter. RESULTS: Thalamic lesions were found in 24/34 of MS cases. Two lesion subtypes were noted: discrete, ovoid lesions, and more diffuse lesional areas lining the periventricular surface. The number of thalamic lesions was greater in progressive MS compared to relapsing-remitting (mean ±SD, 10.7 ±0.7 vs. 3.0 ±0.7, respectively, p < 0.001). Thalamic lesion burden (count and volume) correlated with EDSS score and measures of cortical lesion burden, but not with white matter lesion burden or white matter volume. CONCLUSIONS: Using 7T MRI allows identification of thalamic lesions in MS, which are associated with disability, progressive disease, and cortical lesions. Thalamic lesion analysis may be a simpler, more rapid estimate of overall gray matter lesion burden in MS.
OBJECTIVE: Pathology in both cortex and deep gray matter contribute to disability in multiple sclerosis (MS). We used the increased signal-to-noise ratio of 7-tesla (7T) MRI to visualize small lesions within the thalamus and to relate this to clinical information and cortical lesions. METHODS: We obtained 7T MRI scans on 34 MS cases and 15 healthy volunteers. Thalamic lesion number and volume were related to demographic data, clinical disability measures, and lesions in cortical gray matter. RESULTS:Thalamic lesions were found in 24/34 of MS cases. Two lesion subtypes were noted: discrete, ovoid lesions, and more diffuse lesional areas lining the periventricular surface. The number of thalamic lesions was greater in progressive MS compared to relapsing-remitting (mean ±SD, 10.7 ±0.7 vs. 3.0 ±0.7, respectively, p < 0.001). Thalamic lesion burden (count and volume) correlated with EDSS score and measures of cortical lesion burden, but not with white matter lesion burden or white matter volume. CONCLUSIONS: Using 7T MRI allows identification of thalamic lesions in MS, which are associated with disability, progressive disease, and cortical lesions. Thalamic lesion analysis may be a simpler, more rapid estimate of overall gray matter lesion burden in MS.
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