ArticleNeuroImage. Clinical2023
Lesion location across diagnostic regions in multiple sclerosis.
Article in NeuroImage. Clinical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
- Management of Lower Urinary Tract Symptoms in Patients With Multiple Sclerosis.Current urology reports · 2026Review
- Deep learning-based neuroanatomical profiling reveals population-specific brain changes in multiple sclerosis: a large-scale Middle Eastern study.BMC medical imaging · 2026Observational
- Autophagy-NLRP3 Inflammasome Crosstalk in Microglia: A Therapeutic Target for Multiple Sclerosis.Inflammation · 2026Review
- Differential dementia detection from multimodal brain images in a real-world dataset.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Spatial mapping of the AA-PGEActa neuropathologica · 2025Article
- 4D marmoset brain map reveals MRI and molecular signatures for onset of multiple sclerosis-like lesions.Science (New York, N.Y.) · 2025Article
- Lesion assessment in multiple sclerosis: a comparison between synthetic and conventional fluid-attenuated inversion recovery imaging.Frontiers in neurology · 2025Article
- A Hypoxia-Inflammation Cycle and Multiple Sclerosis: Mechanisms and Therapeutic Implications.Current treatment options in neurology · 2025Review
- Incorporation of the central vein sign into the McDonald criteria.Multiple sclerosis and related disorders · 2025Article
- System-level hypothesis of dopamine imbalance in early multiple sclerosis.Frontiers in neurology · 2025Article
- Mirror movements in multiple sclerosis -a clinical, electrophysiological, and imaging study.BMC neurology · 2024Article
- LST-AI: a Deep Learning Ensemble for Accurate MS Lesion Segmentation.medRxiv : the preprint server for health sciences · 2024Article
- Regression Analyses and Their Particularities in Observational Studies—Part 32 of a Series on Evaluation of Scientific Publications.Deutsches Arzteblatt international · 2024Review
- Differences in Brain Atrophy Pattern between People with Multiple Sclerosis and Systemic Diseases with Central Nervous System Involvement Based on Two-Dimensional Linear Measures.Journal of clinical medicine · 2024Article
- A 4D transcriptomic map for the evolution of multiple sclerosis-like lesions in the marmoset brain.bioRxiv : the preprint server for biology · 2023Article
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Authors and funding
16 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundLesions in the periventricular, (juxta)cortical, and infratentorial region, as visible on brain MRI, are part of the diagnostic criteria for Multiple sclerosis (MS) whereas lesions in the subcortical region are currently only a marker of disease activity. It is unknown whether MS lesions follow individual spatial patterns or whether they occur in a random manner across diagnostic regions.
aimFirst, to describe cross-sectionally the spatial lesion patterns in patients with MS. Second, to investigate the spatial association of new lesions and lesions at baseline across diagnostic regions.
methodsExperienced neuroradiologists analyzed brain MRI (3D, 3T) in a cohort of 330 early MS patients. Lesions at baseline and new solitary lesions after two years were segmented (manually and by consensus) and classified as periventricular, (juxta)cortical, or infratentorial (diagnostic regions) or subcortical-with or without Gadolinium-enhancement. Gadolinium enhancement of lesions in the different regions was compared by Chi square test. New lesions in the four regions served as dependent variable in four zero-inflated Poisson models each with the six independent variables of lesions in the four regions at baseline, age and gender.
resultsAt baseline, lesions were most often observed in the subcortical region (mean 13.0 lesions/patient), while lesion volume was highest in the periventricular region (mean 2287 µl/patient). Subcortical lesions were less likely to show gadolinium enhancement (3.1 %) than juxtacortical (4.3 %), periventricular (5.3 %) or infratentorial lesions (7.2 %). Age was inversely correlated with new periventricular, juxtacortical and subcortical lesions. New lesions in the periventricular, juxtacortical and infratentorial region showed a significant autocorrelative behavior being positively related to the number of lesions in the respective regions at baseline. New lesions in the subcortical region showed a different behavior with a positive association with baseline periventricular lesions and a negative association with baseline infratentorial lesions.
conclusionAcross regions, new lesions do not occur randomly; instead, new lesions in the periventricular, juxtacortical and infratentorial diagnostic region are associated with that at baseline. Lesions in the subcortical regions are more closely related to periventricular lesions. Moreover, subcortical lesions substantially contribute to lesion burden in MS but are less likely to show gadolinium enhancement (than lesions in the diagnostic regions).
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