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Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
Brain atrophy assessment in multiple sclerosis: importance and limitations
Antonio Giorgio1, Marco Battaglini, Stephen M Smith
1Neurology and Neurometabolic Unit, Department of Neurological and Behavioural Sciences, University of Siena, Viale Bracci 2, 53100 Siena, Italy.
Neuroimaging Clinics of North America
|December 11, 2008
Summary
Magnetic resonance imaging (MRI) methods for assessing brain volume changes are increasingly used to track neurological disease progression, particularly in multiple sclerosis (MS). This review covers current techniques, clinical relevance, and future directions for brain atrophy measurement in MS.
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- Brain atrophy assessment using MR imaging is crucial for monitoring neurological disorders.
- Multiple Sclerosis (MS) is a key focus for brain volume change analysis.
- Accurate measurement of brain volume is vital for understanding disease progression.
Purpose of the Study:
- To provide an overview of MR imaging-derived methods for assessing brain atrophy in MS.
- To discuss the clinical relevance of recent advancements in brain atrophy measurement.
- To explore the interpretation, limitations, and future of brain atrophy assessment in MS.
Main Methods:
- Review of commonly used MR imaging techniques for brain atrophy quantification.
- Discussion of methods for assessing brain atrophy state and changes.
- Analysis of clinical relevance and interpretation of findings.
Main Results:
- MR imaging provides sensitive and reproducible assessments of brain volume.
- Brain atrophy is a reliable indicator of disease progression in MS.
- Recent developments offer improved insights into pathologic evolution.
Conclusions:
- MR imaging-based brain atrophy measurement is valuable for assessing and monitoring MS.
- Understanding the caveats and future approaches is essential for optimal use.
- This measure holds potential for evaluating treatment efficacy in MS.
