Trial reportMultiple sclerosis and related disorders2015
Regional gray matter atrophy in relapsing remitting multiple sclerosis: baseline analysis of multi-center data.
Trial report in Multiple sclerosis and related disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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
19 citing papers in PubMed.
- The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis.Annals of clinical and translational neurology · 2026Article
- Functional Disability and Brain MRI Volumetry Results among Multiple Sclerosis Patients during 5-Year Follow-Up.Medicina (Kaunas, Lithuania) · 2023Article
- Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability.European radiology · 2023Article
- Rapid quantification of global brain volumetry and relaxometry in patients with multiple sclerosis using synthetic magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2022Article
- Deep gray matter changes in relapsing-remitting multiple sclerosis detected by multi-parametric, high-resolution magnetic resonance imaging (MRI).European radiology · 2021Article
- The Effect of Body Mass Index on Brain Volume and Cognitive Function in Relapsing-Remitting Multiple sclerosis: A CombiRx Secondary Analysis.Journal of central nervous system disease · 2021Article
- Axonal damage in spinal cord is associated with gray matter atrophy in sensorimotor cortex in experimental autoimmune encephalomyelitis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2020Article
- Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI.Radiology · 2020Article
- Cortical and Subcortical Morphometric and Iron Changes in Relapsing-Remitting Multiple Sclerosis and Their Association with White Matter T2 Lesion Load : A 3-Tesla Magnetic Resonance Imaging Study.Clinical neuroradiology · 2019Article
- Thalamic Atrophy Without Whole Brain Atrophy Is Associated With Absence of 2-Year NEDA in Multiple Sclerosis.Frontiers in neurology · 2019Article
- Impaired Self-Other Distinction and Subcortical Gray-Matter Alterations Characterize Socio-Cognitive Disturbances in Multiple Sclerosis.Frontiers in neurology · 2019Article
- Structural abnormalities and altered regional brain activity in multiple sclerosis with simple spinal cord involvement.The British journal of radiology · 2018Article
- MRI-Based Brain Volumetry at a Single Time Point Complements Clinical Evaluation of Patients With Multiple Sclerosis in an Outpatient Setting.Frontiers in neurology · 2018Article
- The Neurocognitive and MRI Outcomes of West Nile Virus Infection: Preliminary Analysis Using an External Control Group.Frontiers in neurology · 2018Article
- MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.Therapeutic advances in neurological disorders · 2017Review
- Global and regional annual brain volume loss rates in physiological aging.Journal of neurology · 2017Article
- Measurement of Cortical Thickness and Volume of Subcortical Structures in Multiple Sclerosis: Agreement between 2D Spin-Echo and 3D MPRAGE T1-Weighted Images.AJNR. American journal of neuroradiology · 2017Article
- Detection and quantification of regional cortical gray matter damage in multiple sclerosis utilizing gradient echo MRI.NeuroImage. Clinical · 2015Article
- Brain MRI Volumetric Assessment of Patients With Multiple Sclerosis: The Volume of Basal Ganglia, Thalamus, and Posterior Fossa.Basic and clinical neuroscienceArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Regional gray matter (GM) atrophy in multiple sclerosis (MS) at disease onset and its temporal variation can provide objective information regarding disease evolution. An automated pipeline for estimating atrophy of various GM structures was developed using tensor based morphometry (TBM) and implemented on a multi-center sub-cohort of 1008 relapsing remitting MS (RRMS) patients enrolled in a Phase 3 clinical trial. Four hundred age and gender matched healthy controls were used for comparison. Using the analysis of covariance, atrophy differences between MS patients and healthy controls were assessed on a voxel-by-voxel analysis. Regional GM atrophy was observed in a number of deep GM structures that included thalamus, caudate nucleus, putamen, and cortical GM regions. General linear regression analysis was performed to analyze the effects of age, gender, and scanner field strength, and imaging sequence on the regional atrophy. Correlations between regional GM volumes and expanded disability status scale (EDSS) scores, disease duration (DD), T2 lesion load (T2 LL), T1 lesion load (T1 LL), and normalized cerebrospinal fluid (nCSF) were analyzed using Pearson׳s correlation coefficient. Thalamic atrophy observed in MS patients compared to healthy controls remained consistent within subgroups based on gender and scanner field strength. Weak correlations between thalamic volume and EDSS (r=-0.133; p<0.001) and DD (r=-0.098; p=0.003) were observed. Of all the structures, thalamic volume moderately correlated with T2 LL (r=-0.492; P-value<0.001), T1 LL (r=-0.473; P-value<0.001) and nCSF (r=-0.367; P-value<0.001).
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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.