Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines

Massimo Filippi1,2,3, Paolo Preziosa1,3, Brenda L Banwell4

  • 1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Insights

Accurate magnetic resonance imaging (MRI) interpretation is crucial for diagnosing multiple sclerosis (MS). This review guides clinicians in recognizing MS lesions and differentiating them from other conditions using advanced MRI techniques.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Magnetic resonance imaging (MRI) is vital for diagnosing multiple sclerosis (MS), but misinterpretations and outdated criteria lead to misdiagnosis.
  • Conditions like neuromyelitis optica spectrum disorders and Susac syndrome can mimic MS on MRI, complicating diagnosis, especially when biomarkers are inconclusive.
  • Existing MRI criteria for MS may not encompass all characteristic lesion features.

Purpose of the Study:

  • To provide a practical guide for clinicians and researchers to improve the accurate recognition of multiple sclerosis lesions on MRI.
  • To discuss typical and emerging MRI features specific to multiple sclerosis.
  • To highlight red flags for alternative diagnoses that may mimic multiple sclerosis.

Main Methods:

  • Review of current literature and MRI diagnostic criteria for multiple sclerosis.
  • Illustration and definition of characteristic MRI features of multiple sclerosis lesions, including juxtacortical, periventricular, and cortical locations.
  • Discussion of specific pathological features such as the central vein sign, subpial demyelination, and lesional rims.

Main Results:

  • Improvements in MRI technology allow for better characterization of MS lesion locations and involvement.
  • Specific pathological features (central vein sign, subpial demyelination, lesional rims) are increasingly recognized as more specific to MS.
  • Certain conditions can fulfill current MRI criteria for MS, necessitating careful differential diagnosis.

Conclusions:

  • Enhanced understanding and application of MRI features can improve the accuracy of multiple sclerosis diagnosis.
  • Incorporating emerging qualitative MRI findings may refine diagnostic criteria in the future.
  • Distinguishing MS from mimic conditions requires a comprehensive approach, integrating imaging, clinical, and biomarker data.

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