Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis
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Updated: Jun 9, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
Maria A Rocca1,2,3, Paolo Preziosa1,2,3, Frederik Barkhof4,5
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Abstract:
In the majority of cases, multiple sclerosis (MS) is characterized by reversible episodes of neurological dysfunction, often followed by irreversible clinical disability. Accurate diagnostic criteria and prognostic markers are critical to enable early diagnosis and correctly identify patients with MS at increased risk of disease progression. The 2017 McDonald diagnostic criteria, which include magnetic resonance imaging (MRI) as a fundamental paraclinical tool, show high sensitivity and accuracy for the diagnosis of MS allowing early diagnosis and treatment. However, their inappropriate application, especially in the context of atypical clinical presentations, may increase the risk of misdiagnosis. To further improve the diagnostic process, novel imaging markers are emerging, but rigorous validation and standardization is still needed before they can be incorporated into clinical practice. This Series article discusses the current role of MRI in the diagnosis and prognosis of MS, while examining promising MRI markers, which could serve as reliable predictors of subsequent disease progression, helping to optimize the management of individual patients with MS. We also explore the potential of new technologies, such as artificial intelligence and automated quantification tools, to support clinicians in the management of patients. Yet, to ensure consistency and improvement in the use of MRI in MS diagnosis and patient follow-up, it is essential that standardized brain and spinal cord MRI protocols are applied, and that interpretation of results is performed by qualified (neuro)radiologists in all countries.
Insights
Accurate diagnosis of multiple sclerosis (MS) relies on magnetic resonance imaging (MRI) criteria. Novel MRI markers and AI tools show promise for predicting MS progression and improving patient management.
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- Multiple sclerosis (MS) presents with reversible neurological episodes and irreversible disability.
- Early diagnosis and accurate prognosis are crucial for managing MS.
- Current diagnostic criteria, like the 2017 McDonald criteria, utilize MRI but can be misapplied in atypical cases.
Purpose of the Study:
- To review the current role of MRI in diagnosing and predicting prognosis in MS.
- To explore emerging MRI markers for predicting disease progression.
- To discuss the potential of AI and automated tools in MS management.
Main Methods:
- Review of current literature on MRI in MS diagnosis and prognosis.
- Examination of novel imaging markers and their validation status.
- Discussion of artificial intelligence and automated quantification tools.
Main Results:
- The 2017 McDonald criteria enhance MS diagnosis accuracy with MRI.
- Novel imaging markers show potential for predicting MS progression.
- AI and automated tools may aid in clinical decision-making for MS patients.
Conclusions:
- Standardized MRI protocols and expert interpretation are vital for consistent MS diagnosis and follow-up.
- Further validation of new MRI markers is needed for clinical integration.
- Emerging technologies offer future improvements in MS patient management.
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