Non-Invasive Prediction of Site-Specific Coronary Atherosclerotic Plaque Progression Using Lipidomics, Blood Flow, and LDL Transport Modeling
Background: coronary computed tomography angiography (CCTA) is a first line non-invasive imaging modality for detection of coronary atherosclerosis. Computational modeling with lipidomics analysis can be used for prediction of coronary atherosclerotic plaque progression. Methods: 187 patients (480 v...
Main Authors: | Antonis I. Sakellarios, Panagiota Tsompou, Vassiliki Kigka, Panagiotis Siogkas, Savvas Kyriakidis, Nikolaos Tachos, Georgia Karanasiou, Arthur Scholte, Alberto Clemente, Danilo Neglia, Oberdan Parodi, Juhani Knuuti, Lampros K. Michalis, Gualtiero Pelosi, Silvia Rocchiccioli, Dimitrios I. Fotiadis |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/5/1976 |
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