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Brain atrophy assessment in multiple sclerosis: technical– and subject-related barriers for translation to real-world application in individual subjects

  • SUNY Buffalo

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

Introduction: Brain atrophy is a well-established MRI outcome for predicting clinical progression and monitoring treatment response in persons with multiple sclerosis (pwMS) at the group level. Despite the important progress made, the translation of brain atrophy assessment into clinical practice faces several challenges. Areas covered: In this review, the authors discuss technical- and subject-related barriers for implementing brain atrophy assessment as part of the clinical routine at the individual level. Substantial progress has been made to understand and mitigate technical barriers behind MRI acquisition. Numerous research and commercial segmentation techniques for volume estimation are available and technically validated, but their clinical value has not been fully established. A systematic assessment of subject-related barriers, which include genetic, environmental, biological, lifestyle, comorbidity, and aging confounders, is critical for the interpretation of brain atrophy measures at the individual subject level. Educating both medical providers and pwMS will help better clarify the benefits and limitations of assessing brain atrophy for disease monitoring and prognosis. Expert opinion: Integrating brain atrophy assessment into clinical practice for pwMS requires overcoming technical and subject-related challenges. Advances in MRI standardization, artificial intelligence, and clinician education will facilitate this process, improving disease management and potentially reducing long-term healthcare costs.

Original languageEnglish
Pages (from-to)1081-1096
Number of pages16
JournalExpert Review of Neurotherapeutics
Volume24
Issue number11
DOIs
StatePublished - 2024

Keywords

  • Multiple sclerosis
  • biological factors
  • clinical routine
  • measurement
  • methodological pitfalls
  • real-world
  • subject-related barriers
  • technical barriers

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