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7T-high resolution MRI-derived radiomic analysis for the identification of symptomatic intracranial atherosclerotic plaques.

Sebastian SanchezSricharan S VeeturiTatsat PatelDiego J OjedaElena SaguesJacob M MillerVincent M TutinoEdgar A Samaniego
Published in: Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences (2024)
Symptomatic plaques had a distinct signature RFs compared to other plaques within the same subject. A machine learning model built with RFs successfully identified the symptomatic atherosclerotic plaques in most cases. Radiomics is a promising tool for stratification of plaques in patients with ICAD.
Keyphrases
  • machine learning
  • high resolution
  • magnetic resonance imaging
  • squamous cell carcinoma
  • mass spectrometry
  • artificial intelligence
  • big data
  • deep learning
  • optical coherence tomography
  • liquid chromatography