ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2018
Dual-Sensitivity Multiple Sclerosis Lesion and CSF Segmentation for Multichannel 3T Brain MRI.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.
- Volumetric segmentation in the context of posterior fossa-related pathologies: a systematic review.Neurosurgical review · 2024Pooled it
- Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.Academic radiology · 2019Pooled it
- Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic brain imaging.Nature biomedical engineering · 2025Article
- FABP7 is increased in progressive multiple sclerosis and induces a pro-inflammatory phenotype in monocytes through a glycolytic switch.Nature communications · 2025Article
- Gut microbiota and metabolites are linked to disease progression in multiple sclerosis.Cell reports. Medicine · 2025Article
- Increasing Neurofilament and Glial Fibrillary Acidic Protein After Treatment Discontinuation Predicts Multiple Sclerosis Disease Activity.Neurology(R) neuroimmunology & neuroinflammation · 2023Observational
- Multiple sclerosis lesions that impair memory map to a connected memory circuit.Journal of neurology · 2023Article
- Early miR-320b and miR-25-3p miRNA levels correlate with multiple sclerosis severity at 10 years: a cohort study.Journal of neuroinflammation · 2023Article
- Lesion network localization of depression in multiple sclerosis.Nature. Mental health · 2023Article
- Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks.European radiology · 2022Article
- MRI Radiomics Features From Infarction and Cerebrospinal Fluid for Prediction of Cerebral Edema After Acute Ischemic Stroke.Frontiers in aging neuroscience · 2022Article
- Gut Microbiome in Progressive Multiple Sclerosis.Annals of neurology · 2021Article
- Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review.BMJ open · 2021Article
- Regional microglial activation in the substantia nigra is linked with fatigue in MS.Neurology(R) neuroimmunology & neuroinflammation · 2020Article
- Faster RCNN-based detection of cervical spinal cord injury and disc degeneration.Journal of applied clinical medical physics · 2020Article
- TAPAS: A Thresholding Approach for Probability Map Automatic Segmentation in Multiple Sclerosis.NeuroImage. Clinical · 2020Article
- Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2019Article
- Gray matter microglial activation in relapsing vs progressive MS: A [F-18]PBR06-PET study.Neurology(R) neuroimmunology & neuroinflammation · 2019Article
- Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.NeuroImage · 2019Article
- Neurofilament light chain serum levels correlate with 10-year MRI outcomes in multiple sclerosis.Annals of clinical and translational neurology · 2018Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeA pipeline for fully automated segmentation of 3T brain MRI scans in multiple sclerosis (MS) is presented. This 3T morphometry (3TM) pipeline provides indicators of MS disease progression from multichannel datasets with high-resolution 3-dimensional T1-weighted, T2-weighted, and fluid-attenuated inversion-recovery (FLAIR) contrast. 3TM segments white (WM) and gray matter (GM) and cerebrospinal fluid (CSF) to assess atrophy and provides WM lesion (WML) volume.
methodsTo address nonuniform distribution of noise/contrast (eg, posterior fossa in 3D-FLAIR) of 3T magnetic resonance imaging, the method employs dual sensitivity (different sensitivities for lesion detection in predefined regions). We tested this approach by assigning different sensitivities to supratentorial and infratentorial regions, and validated the segmentation for accuracy against manual delineation, and for precision in scan-rescans.
resultsIntraclass correlation coefficients of .95, .91, and .86 were observed for WML and CSF segmentation accuracy and brain parenchymal fraction (BPF). Dual sensitivity significantly reduced infratentorial false-positive WMLs, affording increases in global sensitivity without decreasing specificity. Scan-rescan yielded coefficients of variation (COVs) of 8% and .4% for WMLs and BPF and COVs of .8%, 1%, and 2% for GM, WM, and CSF volumes. WML volume difference/precision was .49 ± .72 mL over a range of 0-24 mL. Correlation between BPF and age was r = .62 (P = .0004), and effect size for detecting brain atrophy was Cohen's d = 1.26 (standardized mean difference vs. healthy controls).
conclusionsThis pipeline produces probability maps for brain lesions and tissue classes, facilitating expert review/correction and may provide high throughput, efficient characterization of MS in large datasets.
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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.