Machine learning assisted reflectance spectral characterisation of coronary thrombi correlates with microvascular injury in patients with ST-segment elevation acute coronary syndrome

AIMS: We set out to further develop reflectance spectroscopy for the characterisation and quantification of coronary thrombi. Additionally, we explore the potential of our approach for use as a risk stratification tool by exploring the relation of reflectance spectra to indices of coronary microvasc...

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Detalles Bibliográficos
Autores principales: Kotronias, Rafail A., Fielding, Kirsty, Greenhalgh, Charlotte, Lee, Regent, Alkhalil, Mohammad, Marin, Federico, Emfietzoglou, Maria, Banning, Adrian P., Vallance, Claire, Channon, Keith M., De Maria, Giovanni Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530633/
https://www.ncbi.nlm.nih.gov/pubmed/36204570
http://dx.doi.org/10.3389/fcvm.2022.930015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530633/
https://www.ncbi.nlm.nih.gov/pubmed/36204570
http://dx.doi.org/10.3389/fcvm.2022.930015

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