Value Proposition:
· Customizes vascular grafts for each patient’s anatomy and hemodynamically optimizes them.
· Combines advanced computational methods with surgeons’ clinical expertise.
· Enables physicians to iteratively prototype, evaluate, and optimize graft designs through a user-friendly process, significantly reducing surgical planning times.
Technology Description
· Researchers at Johns Hopkins have developed a multifunctional system for planning cardiac surgery to accelerate and improve the design of patient-specific vascular grafts. Patient anatomy and computational fluid dynamics are used to design personalized and hemodynamically optimized vascular grafts. These designs can then be iterated on by the surgeon to incorporate their knowledge and intuition. The available data demonstrates this system can significantly reduce planning time and improve graft design.
Unmet Need
· Patients receiving vascular grafts during cardiac surgery stand to benefit from a personalized and optimized approach. However, planning patient-specific surgeries remains challenging and time-intensive due to limited visualizations of cardiac imaging, the variety of patient-specific anatomies, confined surgical planning space, and the need to simultaneously consider multiple design criteria for graft optimization. Designing personalized vascular grafts is complex and requires technical skills such as using computer-aided design and computational fluid dynamics simulations, which can be a significant challenge for physicians. Therefore, there is a strong need for an efficient user-friendly system for planning personalized cardiac surgeries to be developed to address the need to integrate computational optimization with surgeons’ clinical expertise.
Stage of Development
· Computational proof of concept validation on 2 patient models and a pilot software usability study with clinicians have been completed.
Data Availability
· Data available upon request.
Publications
n/a
