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Exploring individual multiple sclerosis lesion volume change over time: Development of an algorithm for the analyses

Caroline Köhler1, Hannes Wahl1, Tjalf Ziemssen2

  • 1Dept. of Neuroradiology, University Hospital Carl Gustav Carus', Technische Universität Dresden, Dresden, SN, Germany.

Neuroimage. Clinical
|December 15, 2018
PubMed
Abstract

Insights

A new algorithm, Automatic Follow-up of Individual Lesions (AFIL), quantifies individual lesion changes in multiple sclerosis (MS) patients. This tool tracks lesion volume over time, aiding in personalized disease progression assessment.

Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Neurology

Background:

  • Magnetic resonance imaging (MRI) is crucial for monitoring multiple sclerosis (MS) progression and treatment efficacy.
  • Current methods lack automated techniques for quantifying individual MS lesion changes over time.

Purpose of the Study:

  • Develop a secondary post-processing algorithm to quantify individual MS lesion volume changes.
  • Enable automated tracking of lesion evolution for improved disease management.

Main Methods:

  • An Automatic Follow-up of Individual Lesions (AFIL) algorithm was created to process time-series lesion masks.
  • The algorithm consistently labels lesions, allowing for individual volume evaluation.
  • Algorithm accuracy was validated by experienced readers in early MS patients.

Main Results:

  • AFIL identified 328 individual MS lesions with a 0.9% error rate.
  • 121 new lesions were detected during the observation period.
  • Analysis revealed varying volume changes in persistent lesions: 69.1% varied, 16.9% were stable, 3.4% increased, and 0.5% decreased.

Conclusions:

  • The AFIL algorithm automatically generates individual lesion growth profiles for MS patients.
  • This approach facilitates patient characterization based on individual lesion progression patterns.
Keywords:
Lesion trackingMedical image analysisMultiple sclerosisQuantitative magnetic resonance imagingTherapy monitoringVolumetric assessment

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