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 KniepPublished 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.