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Patient-Specific Analysis of Ascending Thoracic Aortic Aneurysm with the Living Heart Human Model

Authors :
Salvatore Cutugno
Valentina Agnese
Giovanni Gentile
Giuseppe M. Raffa
Andrew D. Wisneski
Julius M. Guccione
Michele Pilato
Salvatore Pasta
Source :
Bioengineering, Vol 8, Iss 11, p 175 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

In ascending thoracic aortic aneurysms (ATAAs), aneurysm kinematics are driven by ventricular traction occurring every heartbeat, increasing the stress level of dilated aortic wall. Aortic elongation due to heart motion and aortic length are emerging as potential indicators of adverse events in ATAAs; however, simulation of ATAA that takes into account the cardiac mechanics is technically challenging. The objective of this study was to adapt the realistic Living Heart Human Model (LHHM) to the anatomy and physiology of a patient with ATAA to assess the role of cardiac motion on aortic wall stress distribution. Patient-specific segmentation and material parameter estimation were done using preoperative computed tomography angiography (CTA) and ex vivo biaxial testing of the harvested tissue collected during surgery. The lumped-parameter model of systemic circulation implemented in the LHHM was refined using clinical and echocardiographic data. The results showed that the longitudinal stress was highest in the major curvature of the aneurysm, with specific aortic quadrants having stress levels change from tensile to compressive in a transmural direction. This study revealed the key role of heart motion that stretches the aortic root and increases ATAA wall tension. The ATAA LHHM is a realistic cardiovascular platform where patient-specific information can be easily integrated to assess the aneurysm biomechanics and potentially support the clinical management of patients with ATAAs.

Details

Language :
English
ISSN :
23065354
Volume :
8
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Bioengineering
Publication Type :
Academic Journal
Accession number :
edsdoj.296c278d7b5840da9b434272ed00976b
Document Type :
article
Full Text :
https://doi.org/10.3390/bioengineering8110175