Aortic Hemodynamics After Thoracic Endovascular Aortic Repair, With Particular Attention to the Bird-Beak Configuration

Guido H. W. van Bogerijen, Ferdinando Auricchio, Michele Conti, Adrien Lefieux, Alessandro Reali, Alessandro Veneziani, Jip L. Tolenaar, Frans L. Moll, Vincenzo Rampoldi, Santi Trimarchi
2014 Journal of Endovascular Therapy  
P urpose: To quantitatively evaluate the impact of thoracic endovascular aortic repair (TEVAR) on aortic hemodynamics, focusing on the implications of a bird-beak configuration. Methods: Pre-and postoperative CTA images from a patient treated with TEVAR for postdissecting thoracic aortic aneurysm were used to evaluate the anatomical changes induced by the stent-graft and to generate the computational network essential for computational fluid dynamics (CFD) analysis. These analyses focused on
more » ... bird-beak configuration, flow distribution into the supra-aortic branches, and narrowing of the distal descending thoracic aorta. Three different CFD analyses (A: preoperative lumen, B: postoperative lumen, and C: postoperative lumen computed without stenosis) were compared at 3 time points during the cardiac cycle (maximum acceleration of blood flow, systolic peak, and maximum deceleration of blood flow). Results: Postoperatively, disturbance of flow was reduced at the bird-beak location due to boundary conditions and change of geometry after TEVAR. Stent-graft protrusion with partial coverage of the origin of the left subclavian artery produced a disturbance of flow in this vessel. Strong velocity increase and flow disturbance were found at the aortic narrowing in the descending thoracic aorta when comparing B and C, while no effect was seen on aortic arch hemodynamics. Conclusion: CFD may help physicians to understand aortic hemodynamic changes after TEVAR, including the change in aortic arch geometry, the effects of a bird-beak configuration, the supra-aortic flow distribution, and the aortic true lumen dynamics. This study is the first step in establishing a computational framework that, when completed with patient-specific data, will allow us to study thoracic aortic pathologies and their endovascular management. J Endovasc Ther. 2014;21:791-802 This work was partially funded by Cariplo Foundation (project no. 2009.2822) and Regione Lombardia and CINECA Consortium through a LISA (Laboratory for Interdisciplinary Advanced Simulation) Initiative 2013 grant for computational facilities.
doi:10.1583/14-4778mr.1 pmid:25453880 fatcat:6wnnkol5tjb3jgngmjsn4donsq