Predictive Tissue-Device Interaction of Large Endovascular Devices on the Aortic Wall
- Dr. Steven Day Rochester Institute of Technology
- Dr. Thomas Gaborski Rochester Institute of Technology
- Dr. Daniel Phillips Rochester Institute of Technology
The use of devices, such as stent grafts and valves, in the endovascular treatment of aortic valve and aortic arch pathology has increased significantly. Estimated numbers show there are >300,000 procedures each year. Due to this increase in procedures, new, unexpected device-induced aortic dissections and tears have occurred in 10-15% of patients. This has resulted in morbidity, and even death. The causes of these aortic dissections and tears are unknown, but are proposed to be due to several factors associated with aortic wall stress and interaction between the aortic arch and devices. This project represents a novel, cross-disciplinary, patient-specific outcome approach to predict effects of large endovascular devices on the stress distribution in the aortic arch. It aims to explore the cause of many new dissections and aortic tears occurring after device implantation, due to device-induced hemodynamic and conformational changes.
This project involves the development of patient-specific 3D models of varying aortic arch conformations, through the use of CT angiographic data. The models are used to simulate the distribution of hemodynamic forces and their effects over a cardiac cycle, using different aortic arch shapes.
The project also aims to model the aortic wall stress and tension resulting from the implantation of devices at differing points between the aortic root and descending thoracic aorta, relative to pre-implantation. Tests will result in the compilation of data on the stiffness, radial forces, and bending forces of aortic arch devices in varying anatomic comfigurations.« back to all projects