CTCA Informed CFD Simulation of Haemodynamic Risk for Improved Detection of High-Risk Plaques—Results from the BioHEART Study - 28/07/24
Doi : 10.1016/j.hlc.2024.06.550
A. Mazier 1, J. Blanchet 1, 3, 5, A. Gholipour 1, S. Fathieh 1, 3, 5, G. Figtree 3, 4, 5, D. Fletcher 6, S. Grieve 1, 2
1 Imaging and Phenotyping Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
2 Lumus Imaging, St George Private Hospital, Kogarah, Sydney, NSW, Australia
3 Cardiovascular Discovery Group, Kolling Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia
4 Department of Cardiology, Royal North Shore Hospital, Sydney, NSW, Australia
5 Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
6 School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, NSW, Australia
545
Il testo completo di questo articolo è disponibile in PDF.Mappa
© 2024
Pubblicato da Elsevier Masson SAS.
Vol 33 - N° S4
P. S380-S381 - agosto 2024 Ritorno al numero
Articolo precedente
- Comparison of Machine Learning and Traditional Methods for Prediction of Adverse Clinical Events After Percutaneous Coronary Intervention
- A. Zaka, J. Gorcilov, D. Mutahar, A. Gupta, J. Kovoor, B. Stretton, N. Mridha, G. Sivagangabalan, A. Thiagalingam, C. Chow, S. Zaman, P. Kovoor, S. Bacchi
- Development of a Digital Patient Management System for Improved Structural Heart Patient Outcomes
- R. Johnston, S. Nanayakkara, E. Gardner, K. Lynch
Benvenuto su EM|consulte, il riferimento dei professionisti della salute.
L'accesso al testo integrale di questo articolo richiede un abbonamento.
Già abbonato a @@106933@@ rivista ?