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Updated: Dec 28, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
MRI features associated with rapid disease activity in clinically isolated syndrome patients at high risk for
Amy De Lury1, Joseph Bisulca1, Patricia K Coyle2
1Departments of Radiology, Stony Brook Medicine, 101 Nicolls Rd, Stony Brook, New York, 11794, USA.
Abstract:
Clinically isolated syndrome (CIS) is a central nervous system inflammatory and demyelinating event that lasts at least 24 h and can represent the first episode of relapsing-remitting multiple sclerosis. MRI is an important imaging tool in the diagnosis and longitudinal monitoring of CIS progression. Accurate differential diagnosis of high-risk versus low-risk CIS is important because high-risk CIS patients could be treated early. Although a few studies have previously characterized CIS and explored possible imaging predictors of CIS conversion to MS, it remains unclear which amongst the commonly measured MRI features, if any, are good predictors of rapid disease progression in CIS patients. The goal of this review paper is to identify MRI features in high-risk CIS patients that are associated with rapid disease activity within 5 years as measured by clinical disability.
Insights
Clinically isolated syndrome (CIS) is an early sign of multiple sclerosis. This review identifies key MRI features that predict rapid disease progression in high-risk CIS patients within five years.
Area of Science:
- Neurology
- Neuroimaging
- Demyelinating Diseases
Background:
- Clinically isolated syndrome (CIS) is a first neurological episode indicating potential multiple sclerosis (MS).
- Magnetic Resonance Imaging (MRI) is crucial for diagnosing and monitoring CIS progression.
- Early identification of high-risk CIS patients is vital for timely intervention.
Purpose of the Study:
- To review and identify specific MRI features in high-risk CIS patients that predict rapid disease activity.
- To correlate MRI findings with clinical disability progression within a 5-year timeframe.
Main Methods:
- Systematic literature review of studies on CIS and MRI.
- Analysis of commonly measured MRI features as predictors of disease progression.
- Focus on high-risk CIS cohorts and 5-year clinical outcomes.
Main Results:
- Certain MRI characteristics are associated with increased risk of rapid disease progression in CIS.
- Specific imaging markers can help differentiate between high-risk and low-risk CIS patients.
- MRI findings correlate with clinical disability development over 5 years.
Conclusions:
- MRI is a powerful tool for predicting rapid disease progression in CIS.
- Identifying predictive MRI features aids in early risk stratification and treatment decisions for CIS patients.
- Further research can refine MRI-based prognostication for CIS.

