ArticleJournal of neurology2025
Clinical integration of brain and cord MRI features improves differential diagnosis of multiple sclerosis.
Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Glymphatic system impairment in neurological disorders: potential mechanisms and therapeutic targets.Molecular biomedicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the role of brain and spinal cord MRI features in differentiating patients with suspected central nervous system (CNS) inflammatory diseases. MATERIAL AND
methodsProspective data from 125 patients undergoing diagnostic evaluation, including 1.5 T brain and spinal cord MRI scans from February 2021 and March 2024 were analyzed. The cohort comprised 91 patients with multiple sclerosis (MS), 15 with other inflammatory neurological diseases (OIND), and 19 with non-inflammatory neurological diseases (NIND). Brain and spinal cord lesion topographies and morphological features were evaluated to identify MRI features discriminating MS from OIND and NIND.
resultsRandom forest analysis identified key MRI features supporting MS diagnosis over OIND: absence of longitudinally extensive transverse myelitis (relative importance [RI] = 100%), presence of ≥ 1 Dawson's finger (RI = 55.3%), ≥ 1 cortical lesion (RI = 42.6%), and ≥ 1 brain T2-hyperintense white matter (WM) lesion (RI = 36.4%). After excluding the presence of ≥ 1 brain T2-hyperintense WM lesion, fulfilling ≥ 2 of the 3 selected criteria distinguished MS from OIND patients with a sensitivity of 0.59 and a specificity of 0.80. For distinguishing MS from NIND, relevant MRI features included ≥ 1 T2-hyperintense spinal cord lesion (RI = 100.0%), ≥ 1 Dawson's finger (RI = 84.3%), ≥ 1 cortical lesion (RI = 61.4%), ≥ 1 cerebellar peduncle lesion (RI = 52.2%) and ≥ 3 central vein sign-positive lesions (RI = 27.8%). Fulfilling ≥ 2 of the 5 selected criteria identified MS patients with a sensitivity of 0.64 and a specificity of 0.84.
conclusionIntegrating specific MRI features in the diagnostic work-up of patients with suspected CNS inflammatory disease improves differentiation between MS, OIND, and NIND, reducing the risk of misdiagnosis.
Indexed as
Identifiers
40349257What 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.