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Cortical Thin Patch Fraction Reflects Disease Burden in MS: The Mosaic Approach.

Marlene TahedlTun WiltgenCui Ci VoonAchim BertheleJan Stefan KirschkeBernhard HemmerMark MühlauClaus ZimmerBenedikt Wiestler
Published in: AJNR. American journal of neuroradiology (2023)
This study demonstrates the validity of the mosaic approach as a neuroradiologic biomarker in MS. The output of the mosaic approach, namely the thin patch fraction, is a candidate biomarker for assessing and localizing cortical GM pathology. The mosaic approach can furthermore enhance the development of a personalized cortical MS biomarker, given that the thin patch fraction provides a feature on which artificial intelligence methods can be trained. Most important, we showed the validity of the mosaic approach when referencing data with respect to external control MR imaging repositories.
Keyphrases
  • artificial intelligence
  • mass spectrometry
  • multiple sclerosis
  • machine learning
  • big data
  • ms ms
  • deep learning
  • electronic health record
  • risk factors
  • body composition
  • high intensity