Abstract
Purpose
Existing hemodynamic studies on aortic dissection after thoracic endovascular aortic repair (TEVAR) apply geometric simplifications. This study aims to evaluate the necessity of more accurate geometries at the proximal landing zone in computational fluid dynamic (CFD) studies.
Methods
Three patient-specific 3D aortic dissection models with different geometric accuracies at the proximal landing zone were manually fabricated for CFD simulations: (i) model 1 without the stent graft (SG), (ii) model 2 with the metal stent, and (iii) model 3 with the SG. The flow distribution, flow pattern, and wall shear stress (WSS)-related indicators in these three models were compared.
Results
The flow distributions were quite similar for the three models, with a maximum absolute difference of 0.27% at the left suclavian artery (LSA) between models 1 and 3 because of partial coverage. A more chaotic flow pattern was observed at the proximal landing zone in model 3, with significant regional differences in the WSS-related indicator distributions. The upstream and downstream WSS-related indicator distributions were quite similar for the three models.
Conclusions
The flow pattern and hemodynamic parameter distributions were affected by the geometric accuracy only in a small region near the proximal landing zone. The flow split was hardly affected by the LSA partial coverage, indicating that the coverage may have slight effects on short-term blood perfusion. However, this conclusion needs to be verified in future studies with larger sample sizes.
Abbreviations
- TEVAR:
-
Thoracic Endovascular Aortic Repair
- AD:
-
Aortic Dissection
- CFD:
-
Computational Fluid Dynamics
- SG:
-
Stent Graft
- CTA:
-
Computed Tomography Angiography
- WSS:
-
Wall Shear Stress
- OSI:
-
Oscillatory Shear Index
- ECAP:
-
Endothelial Cell Activation Potential
- LSA:
-
Left Subclavian Artery
- LCA:
-
Left Common Carotid Artery
- BCA:
-
Brachiocephalic Artery
- DAo:
-
Descending Aorta
References
Li, D., L. Peng, Y. Wang, J. Zhao, D. Yuan, and T. Zheng. Predictor of false lumen thrombosis after thoracic endovascular aortic repair for type B dissection. J. Thoracic Cardiovasc. Surg. 160(2):360–367, 2020. https://doi.org/10.1016/j.jtcvs.2019.07.091.
Osswald, A., C. Karmonik, J. R. Anderson, F. Rengier, M. Karck, J. Engelke, et al. Elevated wall shear stress in aortic type B dissection may relate to retrograde aortic type A dissection: a computational fuid dynamics pilot study. Eur. J. Vasc. Endovasc. Surg. 54(3):324–330, 2017. https://doi.org/10.1016/j.ejvs.2017.06.012.
Menichini, C., Z. Cheng, R. G. J. Gibbs, and X. Y. Xu. A computational model for false lumen thrombosis in type B aortic dissection following thoracic endovascular repair. J. Biomech. 66:36–43, 2018. https://doi.org/10.1016/j.jbiomech.2017.10.029.
Ong, C., F. Xiong, F. Kabinejadian, G. Kumar, F. Cui, G. Chen, et al. Hemodynamic analysis of a novel stent graft design with slit perforations in thoracic aortic aneurysm. J. Biomech. 85:210–217, 2019. https://doi.org/10.1016/j.jbiomech.2019.01.019.
Bonfanti, M., S. Balabani, J. P. Greenwood, S. Puppala, S. Homer-Vanniasinkam, and V. Díaz-Zuccarini. Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data. J. R. Soc. Interface. 2017. https://doi.org/10.1098/rsif.2017.0632.
Tossas-Betancourt, C., T. van Bakel, D. Coleman, J. Eliason, C. Figueroa, and J. Caridi. Computational analysis of renal artery flow characteristics by modeling aortoplasty and aortic bypass interventions for abdominal aortic coarctation. J. Vasc. Surg. 68:e50–e51, 2018. https://doi.org/10.1016/j.jvs.2018.06.031.
Gao, X., S. Boccalini, P. Kitslaar, R. Budde, S. Tu, B. Lelieveldt, et al. A novel software tool for semi-automatic quantification of thoracic aorta dilatation on baseline and follow-up computed tomography angiography. Int. J. Cardiovasc. Imaging 35(4):711–723, 2019. https://doi.org/10.1007/s10554-018-1488-9.
Krissian, K., J. M. Carreira, J. Esclarin, and M. Maynar. Semi-automatic segmentation and detection of aorta dissection wall in MDCT angiography. Med. Image Anal. 18(1):83–102, 2014. https://doi.org/10.1016/j.media.2013.09.004.
Pirola, S., B. Guo, C. Menichini, S. Saitta, W. Fu, Z. Dong, et al. 4-D flow MRI-based computational analysis of blood flow in patient-specific aortic dissection. IEEE Trans. Biomed. Eng. 66(12):3411–3419, 2019. https://doi.org/10.1109/TBME.2019.2904885.
Xu, H., J. Xiong, X. Han, Y. Mei, Y. Shi, D. Wang, et al. Computed tomography-based hemodynamic index for aortic dissection. J. Thorac. Cardiovasc. Surg. 2020. https://doi.org/10.1016/j.jtcvs.2020.02.034.
Greiner, A., J. Kalder, H. Jalaie, and M. J. Jacobs. Intentional left subclavian artery coverage without revascularization during TEVAR. J. Cardiovasc. Surg. 54(1):91–95, 2013.
Peng, L., Y. Qiu, Z. Yang, D. Yuan, C. Dai, D. Li, et al. Patient-specific computational hemodynamic analysis for interrupted aortic arch in an adult: implications for aortic dissection initiation. Sci Rep. 9(1):8600, 2019. https://doi.org/10.1038/s41598-019-45097-z.
Pirola, S., Z. Cheng, O. A. Jarral, D. P. O’Regan, J. R. Pepper, T. Athanasiou, et al. On the choice of outlet boundary conditions for patient-specific analysis of aortic flow using computational fluid dynamics. J. Biomech. 60:15–21, 2017. https://doi.org/10.1016/j.jbiomech.2017.06.005.
Qiu, Y., Y. Wang, Y. Fan, L. Peng, R. Liu, J. Zhao, et al. Role of intraluminal thrombus in abdominal aortic aneurysm ruptures: a hemodynamic point of view. Med. Phys. 46(9):4263–4275, 2019. https://doi.org/10.1002/mp.13658.
Qiu, Y., D. Yuan, Y. Wang, J. Wen, and T. Zheng. Hemodynamic investigation of a patient-specific abdominal aortic aneurysm with iliac artery tortuosity. Comput. Method Biomech. 21(16):824–833, 2018. https://doi.org/10.1080/10255842.2018.1522531.
Andrzej, P., P.-P. Aleksandra, D. Christoph, N. Josif, H. Ihor, and N. Christoph. Computational fluid dynamic accuracy in mimicking changes in blood hemodynamics in patients with acute type iiib aortic dissection treated with TEVAR. Appl. Sci. Basel. 8(8):1309, 2018. https://doi.org/10.3390/app8081309.
Liu, X., A. Sun, Y. Fan, and X. Deng. Physiological significance of helical flow in the arterial system and its potential clinical applications. Ann. Biomed. Eng. 43(1):3–15, 2015. https://doi.org/10.1007/s10439-014-1097-2.
Avitabile, C. M., M. A. Harris, R. S. Doddasomayajula, S. G. Chopski, M. J. Gillespie, Y. Dori, et al. Accuracy of phase-contrast velocity mapping proximal and distal to stent artifact during cardiac magnetic resonance imaging. Am. J. Cardiol. 121(12):1634–1638, 2018. https://doi.org/10.1016/j.amjcard.2018.02.050.
Chung, J., K. Kasirajan, R. K. Veeraswamy, T. F. Dodson, A. A. Salam, E. L. Chaikof, et al. Left subclavian artery coverage during thoracic endovascular aortic repair and risk of perioperative stroke or death. J. Vasc. Surg. 54(4):979–984, 2011. https://doi.org/10.1016/j.jvs.2011.03.270.
Czerny, M., H. Eggebrecht, G. Sodeck, F. Verzini, P. Cao, G. Maritati, et al. Mechanisms of symptomatic spinal cord ischemia after TEVAR: insights from the European Registry of Endovascular Aortic Repair Complications (EuREC). J. Endovasc. Ther. 19(1):37–43, 2012. https://doi.org/10.1583/11-3578.1.
Klocker, J., A. Koell, M. Erlmeier, G. Goebel, W. Jaschke, and G. Fraedrich. Ischemia and functional status of the left arm and quality of life after left subclavian artery coverage during stent grafting of thoracic aortic diseases. J. Vasc. Surg. 60(1):64–69, 2014. https://doi.org/10.1016/j.jvs.2014.01.060.
Zhu, J., E.-P. Xi, S.-B. Zhu, G.-L. Yin, R.-P. Wang, and Y. Zhang. Management of the vertebral artery during thoracic endovascular aortic repair with coverage of the left subclavian artery. J Thorac Dis. 9(5):1273–1280, 2017. https://doi.org/10.21037/jtd.2017.04.27.
Dolan, J., F. Sim, H. Meng, and J. Kolega. Endothelial cells express a unique transcriptional profile under very high wall shear stress known to induce expansive arterial remodeling. Am. J. Physiol.-Cell Physiol. 302:C1109–C1118, 2011. https://doi.org/10.1152/ajpcell.00369.2011.
Acknowledgments
This work was supported by the Sichuan Province Science and Technology Support plan [Grant Nos. 2019YJ0026 and 2018YYJC]; the National Natural Science Foundation of China [Grant No. 81770471].
Funding
This work was supported by the Sichuan Province Science and Technology Support plan [Grant Nos. 2019YJ0026 and 2018YYJC]; the National Natural Science Foundation of China [Grant No. 81770471].
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Associate Editor Francesco Migliavacca oversaw the review of this article.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Qiu, Y., Dong, S., Liu, Z. et al. Effect of Geometric Accuracy at the Proximal Landing Zone on Simulation Results for Thoracic Endovascular Repair Patients. Cardiovasc Eng Tech 11, 679–688 (2020). https://doi.org/10.1007/s13239-020-00498-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13239-020-00498-4