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Imaging-based prediction of histological clot composition from admission CT imaging.

Uta HanningPeter B SpornsMarios N PsychogiosAstrid JeibmannJens MinnerupMathias GelderblomKarolin SchulteJawed NawabiGabriel BroocksLukas MeyerHermann KrählingAlex BrehmMoritz WildgruberFiehler JensHelge Kniep
Published in: Journal of neurointerventional surgery (2021)
Machine learning based analysis of admission imaging allows for prediction of clot composition. Perspectively, such an approach could allow selection of clot-specific devices and retrieval procedures for personalized thrombectomy strategies.
Keyphrases
  • high resolution
  • machine learning
  • emergency department
  • computed tomography
  • magnetic resonance imaging
  • contrast enhanced
  • positron emission tomography