A computational investigation of post-operative in-graft thrombus formation in the repaired aorta
In plain English
AI plain-English summaryAfter a surgeon repairs a torn aorta with a fabric graft, blood clots can form inside the graft and block flow—this project uses computer models and 3D-printed arteries to figure out why. The problem is that current graft designs do not perfectly mimic the natural shape and flow of a healthy aorta. Turbulence and stagnant blood inside the graft create conditions where clots form, sometimes weeks after surgery. This is a known risk, but surgeons have no reliable way to predict which patients will develop clots or which graft design will work best for a given anatomy. The research combines computational fluid dynamics with physical bench-top models built from patient CT scans. The team will test different graft shapes and measure how blood flows through them under pulsatile conditions, then use those measurements to optimise the design. If successful, the work could give surgeons a tool to match graft geometry to a patient’s specific aortic shape before surgery, reducing clot risk. It could also improve patient selection—identifying who is likely to benefit from endovascular repair and who might need a different approach. The project is applied engineering, not fundamental science, with a clear pathway to clinical testing through the industrial partner Terumo Aortic.
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