Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA)

Hacer Duzman; Reza Daryani; Emre Cenk Ersan; Mustafa Serdar Celebi

doi:10.1007/978-3-031-62520-6_64

Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA)

Hacer Duzman^*, Reza Daryani, Emre Cenk Ersan, Mustafa Serdar Celebi

^*Corresponding author for this work

Informatics Institute

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Anomalous aortic origin of the coronary artery (AAOCA) can lead to ischemia and abrupt mortality. This study investigates the hemodynamic effects of AAOCA with various take-off angles and ostium shapes using computational fluid dynamics (CFD) simulations. The research utilizes patient-specific coronary artery geometry reconstructed from a computed tomography coronary angiogram (CTCA), focusing on the left coronary artery (LCA). The results indicate that as the take-off angle of the LCA narrows, the ostium shape becomes more horizontally elliptical, leading to increased wall shear stress (WSS) and WSS-based indices such as time-averaged wall shear stress (TAWSS) and transverse wall shear stress (transWSS). Furthermore, the analysis of fractional flow reserve (FFR) provides valuable insights into the physiological significance. These findings highlight the potential risk factors associated with AAOCA and emphasize the importance of understanding how hemodynamic changes may contribute to coronary artery disease and clinical management.

Original language	English
Title of host publication	Advances in Digital Health and Medical Bioengineering - Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023 - Volume 2
Subtitle of host publication	Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics
Editors	Hariton-Nicolae Costin, Ratko Magjarević, Gladiola Gabriela Petroiu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	574-582
Number of pages	9
ISBN (Print)	9783031625190
DOIs	https://doi.org/10.1007/978-3-031-62520-6_64
Publication status	Published - 2024
Event	11th International Conference on E-Health and Bioengineering, EHB 2023 - Bucharest, Romania Duration: 9 Nov 2023 → 10 Nov 2023

Publication series

Name	IFMBE Proceedings
Volume	110
ISSN (Print)	1680-0737
ISSN (Electronic)	1433-9277

Conference

Conference	11th International Conference on E-Health and Bioengineering, EHB 2023
Country/Territory	Romania
City	Bucharest
Period	9/11/23 → 10/11/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

AAOCA
Hemodynamics
Ostium
Take-off angle

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-62520-6_64

Cite this

Duzman, H., Daryani, R., Ersan, E. C., & Celebi, M. S. (2024). Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA). In H.-N. Costin, R. Magjarević, & G. G. Petroiu (Eds.), Advances in Digital Health and Medical Bioengineering - Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023 - Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics (pp. 574-582). (IFMBE Proceedings; Vol. 110). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-62520-6_64

Duzman, Hacer ; Daryani, Reza ; Ersan, Emre Cenk et al. / Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA). Advances in Digital Health and Medical Bioengineering - Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023 - Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics. editor / Hariton-Nicolae Costin ; Ratko Magjarević ; Gladiola Gabriela Petroiu. Springer Science and Business Media Deutschland GmbH, 2024. pp. 574-582 (IFMBE Proceedings).

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title = "Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA)",

abstract = "Anomalous aortic origin of the coronary artery (AAOCA) can lead to ischemia and abrupt mortality. This study investigates the hemodynamic effects of AAOCA with various take-off angles and ostium shapes using computational fluid dynamics (CFD) simulations. The research utilizes patient-specific coronary artery geometry reconstructed from a computed tomography coronary angiogram (CTCA), focusing on the left coronary artery (LCA). The results indicate that as the take-off angle of the LCA narrows, the ostium shape becomes more horizontally elliptical, leading to increased wall shear stress (WSS) and WSS-based indices such as time-averaged wall shear stress (TAWSS) and transverse wall shear stress (transWSS). Furthermore, the analysis of fractional flow reserve (FFR) provides valuable insights into the physiological significance. These findings highlight the potential risk factors associated with AAOCA and emphasize the importance of understanding how hemodynamic changes may contribute to coronary artery disease and clinical management.",

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Duzman, H, Daryani, R, Ersan, EC & Celebi, MS 2024, Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA). in H-N Costin, R Magjarević & GG Petroiu (eds), Advances in Digital Health and Medical Bioengineering - Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023 - Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics. IFMBE Proceedings, vol. 110, Springer Science and Business Media Deutschland GmbH, pp. 574-582, 11th International Conference on E-Health and Bioengineering, EHB 2023, Bucharest, Romania, 9/11/23. https://doi.org/10.1007/978-3-031-62520-6_64

Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA). / Duzman, Hacer; Daryani, Reza; Ersan, Emre Cenk et al.
Advances in Digital Health and Medical Bioengineering - Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023 - Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics. ed. / Hariton-Nicolae Costin; Ratko Magjarević; Gladiola Gabriela Petroiu. Springer Science and Business Media Deutschland GmbH, 2024. p. 574-582 (IFMBE Proceedings; Vol. 110).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Duzman, Hacer

AU - Daryani, Reza

AU - Ersan, Emre Cenk

AU - Celebi, Mustafa Serdar

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Anomalous aortic origin of the coronary artery (AAOCA) can lead to ischemia and abrupt mortality. This study investigates the hemodynamic effects of AAOCA with various take-off angles and ostium shapes using computational fluid dynamics (CFD) simulations. The research utilizes patient-specific coronary artery geometry reconstructed from a computed tomography coronary angiogram (CTCA), focusing on the left coronary artery (LCA). The results indicate that as the take-off angle of the LCA narrows, the ostium shape becomes more horizontally elliptical, leading to increased wall shear stress (WSS) and WSS-based indices such as time-averaged wall shear stress (TAWSS) and transverse wall shear stress (transWSS). Furthermore, the analysis of fractional flow reserve (FFR) provides valuable insights into the physiological significance. These findings highlight the potential risk factors associated with AAOCA and emphasize the importance of understanding how hemodynamic changes may contribute to coronary artery disease and clinical management.

AB - Anomalous aortic origin of the coronary artery (AAOCA) can lead to ischemia and abrupt mortality. This study investigates the hemodynamic effects of AAOCA with various take-off angles and ostium shapes using computational fluid dynamics (CFD) simulations. The research utilizes patient-specific coronary artery geometry reconstructed from a computed tomography coronary angiogram (CTCA), focusing on the left coronary artery (LCA). The results indicate that as the take-off angle of the LCA narrows, the ostium shape becomes more horizontally elliptical, leading to increased wall shear stress (WSS) and WSS-based indices such as time-averaged wall shear stress (TAWSS) and transverse wall shear stress (transWSS). Furthermore, the analysis of fractional flow reserve (FFR) provides valuable insights into the physiological significance. These findings highlight the potential risk factors associated with AAOCA and emphasize the importance of understanding how hemodynamic changes may contribute to coronary artery disease and clinical management.

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Duzman H, Daryani R, Ersan EC , Celebi MS. Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA). In Costin HN, Magjarević R, Petroiu GG, editors, Advances in Digital Health and Medical Bioengineering - Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023 - Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics. Springer Science and Business Media Deutschland GmbH. 2024. p. 574-582. (IFMBE Proceedings). doi: 10.1007/978-3-031-62520-6_64

Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA)

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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