Assessment of MRI criteria for a diagnosis of MS
Abstract
To test the reliability of four previously proposed MRI criteria for the diagnosis of MS, we reviewed 1,500 consecutive brain scans for the presence, number, size, and location of areas of increased signal (AIS) on proton-density and T2-weighted images, unaware of the patients' clinical presentations and ages. This series included 134 subjects with a clinical diagnosis of MS. Relying exclusively on the presence of at least three or four AIS for a positive diagnosis of MS resulted in high sensitivity (90% for three AIS and 87% for four) but inadequate specificity (71% for three AIS and 74% for four) and positive predictive value (23% for three AIS and 25% for four). If one of these lesions was required to border the lateral ventricles, specificity was 92% and positive predictive value was 50% at a sensitivity of 87%. Using the Fazekas criteria (at least three AIS and two of the following features: abutting body of lateral ventricles, infratentorial lesion location, and size > 5 mm) led to a further highly significant improvement of specificity (96%; p = 0.0000) and increase of the positive predictive value (65%) at the expense of a less significant decrease in sensitivity (81%; p < 0.01).
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When a patient presents with symptoms or signs that could indicate MS, an MRI is essential as an abnormal brain MRI is seen in virtually all patients with established MS and over 80% of CIS patients who develop MS.
“When a patient presents with symptoms or signs that could indicate MS, an MRI is essential as an abnormal brain MRI is seen in virtually all patients with established MS 7 and over 80% of CIS patients who develop MS. 8”
From Diagnosis of multiple sclerosis: progress and challenges (2017) · cites this paper as [7]
Establishing a diagnosis of MS can be more difficult in older adults because white matter lesions due to small-vessel cerebrovascular disease are frequently found on brain MRI.
“Establishing a diagnosis of MS can be more difficult in older adults because white matter lesions due to small-vessel cerebrovascular disease are frequently found on brain MRI.7,37”
From Diagnosis of multiple sclerosis: progress and challenges (2017) · cites this paper as [7]
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Diagnosis of multiple sclerosis: progress and challenges
Brownlee, W. J., Hardy, T. A., Fazekas, F., & Miller, D. H. (2017) · The Lancet · doi:10.1016/s0140-6736(16)30959-x · Cited by 701 · see citing works
Self-citationMRI criteria for MS in patients with clinically isolated syndromes
Montalban, X., Tintoré, M., Swanton, J., Barkhof, F., Fazekas, F., Filippi, M., Frederiksen, J., Kappos, L., Palace, J., Polman, C., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181cec45c · Cited by 252 · see citing works
Self-citation
- Authors
- Offenbacher, H., Fazekas, F., Schmidt, R., Freidl, W., Flooh, E., Payer, F., & Lechner, H.
- Affiliations
- University of Graz (AT)
- Venue
- Neurology
- Published
- 1993-05
- Volume
- 43
- Issue
- 5
- Pages
- 905-905
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2001061071
- Cited by
- 133
- References
- 0
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 3 · 2015: 2 · 2014: 4 · 2013: 2 · 2012: 1
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Health Sciences › Medicine › Oncology › Polyomavirus and related diseases
- Keywords
- multiple sclerosis, MRI diagnostic criteria, brain lesions, sensitivity and specificity, positive predictive value, proton density-weighted imaging, T2-weighted imaging
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis, Predictive Value of Tests, Sensitivity and Specificity
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