ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging
Quantification of global cerebral atrophy in multiple sclerosis from 3T MRI using SPM: the role of misclassification errors.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Correlation between the clinical disability and T1 hypointense lesions' volume in cerebral magnetic resonance imaging of multiple sclerosis patients: A systematic review and meta-analysis.CNS neuroscience & therapeutics · 2021Pooled it
- Pooled it
- Neuroimaging Biomarkers of Disease Progression and Cognitive Change in Patients With Retinal Vasculopathy With Cerebral Leukoencephalopathy.Neurology · 2026Article
- Longitudinal association of retinal morphology and white matter progression in retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations.Frontiers in neurology · 2025Article
- Observational
- Article
- Brain MRI Predicts Worsening Multiple Sclerosis Disability over 5 Years in the SUMMIT Study.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020Article
- Hepatic fat is superior to BMI, visceral and pancreatic fat as a potential risk biomarker for neurodegenerative disease.European radiology · 2019Article
- T1-MPRAGE and T2-FLAIR segmentation of cortical and subcortical brain regions-an MRI evaluation study.Neuroradiology · 2019Article
- Whole-brain atrophy assessed by proportional- versus registration-based pipelines from 3T MRI in multiple sclerosis.Brain and behavior · 2018Article
- Dual-Sensitivity Multiple Sclerosis Lesion and CSF Segmentation for Multichannel 3T Brain MRI.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018Article
- Effects of Systolic Blood Pressure on Brain Integrity in Multiple Sclerosis.Frontiers in neurology · 2018Article
- Article
- The Effect of Dimethyl Fumarate on Cerebral Gray Matter Atrophy in Multiple Sclerosis.Neurology and therapy · 2016Article
- Serum lipid antibodies are associated with cerebral tissue damage in multiple sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2016Article
- The Contribution of Cortical Lesions to a Composite MRI Scale of Disease Severity in Multiple Sclerosis.Frontiers in neurology · 2016Article
- Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect models.NeuroImage. Clinical · 2015Article
- Cerebral small vessel disease and Alzheimer's disease.Clinical interventions in aging · 2015Review
- Whole Brain Volume Measured from 1.5T versus 3T MRI in Healthy Subjects and Patients with Multiple Sclerosis.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe tested the validity of a freely available segmentation pipeline to measure compartmental brain volumes from 3T MRI in patients with multiple sclerosis (MS). Our primary focus was methodological to explore the effect of segmentation corrections on the clinical relevance of the output metrics.
methodsThree-dimensional T1-weighted images were acquired to compare 61 MS patients to 30 age- and gender-matched normal controls (NC). We also tested the within patient MRI relationship to disability (eg, expanded disability status scale [EDSS] score) and cognition. Statistical parametric mapping v. 8 (SPM8)-derived gray matter (GMF), white matter (WMF), and total brain parenchyma fractions (BPF) were derived before and after correcting errors from T1 hypointense MS lesions and/or ineffective deep GM contouring.
resultsMS patients had lower GMF and BPF as compared to NC (P<.05). Cognitively impaired patients had lower BPF than cognitively preserved patients (P<.05). BPF was related to EDSS; BPF and GMF were related to disease duration (all P<.05). Errors caused bias in GMFs and WMFs but had no discernable influence on BPFs or any MRI-clinical associations.
conclusionsWe report the validity of a segmentation pipeline for the detection of MS-related brain atrophy with 3T MRI. Longitudinal studies are warranted to extend these results.
Indexed as
Identifiers
What OpenQuestion holds
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.