Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis

OBJECTIVES: To evaluate the added value of deep learning (DL) analysis of the left ventricular myocardium (LVM) in resting coronary CT angiography (CCTA) over determination of coronary degree of stenosis (DS), for identification of patients with functionally significant coronary artery stenosis. MET...

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Detalles Bibliográficos
Autores principales: van Hamersvelt, Robbert W., Zreik, Majd, Voskuil, Michiel, Viergever, Max A., Išgum, Ivana, Leiner, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Cardiac
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443613/
https://www.ncbi.nlm.nih.gov/pubmed/30421020
http://dx.doi.org/10.1007/s00330-018-5822-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443613/
https://www.ncbi.nlm.nih.gov/pubmed/30421020
http://dx.doi.org/10.1007/s00330-018-5822-3

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