MRI Differentiates MOGAD from MS with High Accuracy
MRI Biomarkers Crucial in Differentiating MOGAD from Multiple Sclerosis
Table of Contents
New research highlights key imaging differences that can aid clinicians in distinguishing between MOG antibody-associated disease (MOGAD) and multiple sclerosis (MS), especially when diagnostic uncertainty arises.
Unraveling Diagnostic Challenges
Distinguishing between MOGAD and MS can be a complex clinical challenge, as both conditions can present with overlapping neurological symptoms and exhibit similar patterns on magnetic resonance imaging (MRI). However, a recent study published in the Journal of Neurology, Neurosurgery & Psychiatry offers valuable insights into specific MRI biomarkers that can help differentiate these two demyelinating diseases. The research, led by Syc-Mazurek et al., utilized paired attack and remission MRI scans too identify distinct imaging signatures.
Key MRI Findings Differentiating MOGAD and MS
The study revealed important differences in MRI findings between patients with MOGAD and MS, both during active disease flares and in remission.
Remission MRI Assessments: A Clearer Picture
A striking finding was the significantly higher likelihood of normal brain and spine MRI assessments in patients with MOGAD compared to those with MS at follow-up.
Normal Brain MRIs: Normal brain MRIs were observed in 14 out of 44 patients with MOGAD, whereas none of the 60 patients with MS showed normal brain MRIs (P < .001). Normal Spine MRIs: Similarly, normal spine MRIs were seen in 21 out of 27 MOGAD cases, compared to only 7 out of 36 MS cases (P <.001).
Lesion Characteristics During Attacks and Remission
Additional analysis of lesion characteristics further illuminated the distinctions:
T1-hypointense lesions, ovoid periventricular T2 lesions, and contrast-enhancing lesions were more frequently observed in MS than in MOGAD, both during attacks and at remission. In the spine, longitudinally extensive T2 lesions were reported in 8 out of 27 patients with MOGAD during attacks.
Predictive MRI Biomarkers for MOGAD Diagnosis
The researchers identified specific MRI features that serve as strong predictors for MOGAD diagnosis:
Resolution of a single T2 lesion at follow-up was identified as a strong predictor of MOGAD.
The resolution of two T2 lesions entirely separates MOGAD from MS.
These findings underscore the utility of paired MRI scans in resolving diagnostic uncertainty, providing clinicians with concrete imaging evidence to support their diagnoses.
Study Limitations and Future Directions
The authors acknowledged several limitations in their study, which are important considerations for interpreting the results:
variability in MRI parameters: Differences in MRI timing, scanners, and field strengths across participants could influence findings.
Cohort differences: The MS group was drawn from a community-based epidemiological study, while the MOGAD group originated from a tertiary care center and included a higher proportion of pediatric and severe cases.This may affect the generalizability of the findings.
Selection bias and lack of multiple comparison correction: The exploratory nature of the analysis meant that selection bias was a potential factor, and corrections for multiple comparisons were not applied.
Despite these limitations, the study provides crucial evidence for the role of MRI in differentiating MOGAD from MS. The identified biomarkers offer a valuable tool for clinicians, perhaps leading to earlier and more accurate diagnoses, and ultimately, improved patient management.
References:*
- Syc-mazurek SB, Cacciaguerra L, Tajfirouz DA, Redenbaugh V, Krecke KN, Thakolwiboon S, Dinoto A, Madhavan A, Tillema JM, Lopez-Chiriboga AS, Valencia-Sanchez C, sechi E, chen JJ, Pittock SJ, Flanagan EP. MRI characteristics during attack and remission distinguish patients with MOG antibody-associated disease from multiple sclerosis. J Neurol Neurosurg Psychiatry*. 2025 Jul 20:jnnp-2025-336684. doi: 10.1136/jnnp-2025-336684. Epub ahead of print.PMID: 40685157.
- Mayr WT, Pittock SJ, mcclelland