Prosthetic grafts used for lower extremity revascularization and dialysis access fail due to hyperplastic stenosis and thrombosis. Graft surveillance is advocated to monitor function, however, graft failure can occur between episodic examinations. An innovative self-monitoring graft system allows automated surveillance with assessment of graft function using a cloud-based algorithm. We performed proof of concept experiments with in vitro and in vivo models to assess the feasibility such a real-time graft surveillance system. Initial in-vitro and in-vivo experiments demonstrate the ability for a self-monitoring graft system to remotely monitor hemodynamic parameters reflecting graft function using wireless data transmission. This automated system shows promise to deliver real-time data that can be analyzed by cloud-based algorithms alerting the clinician of a change in graft function or development of stenosis for further diagnostic study or intervention prior to graft failure.

Date Published: 27 September 2016
PDF: 10 pages
Proc. SPIE 9930, Biosensing and Nanomedicine IX, 99300S (27 September 2016);

Published in SPIE Proceedings Vol. 9930:
Biosensing and Nanomedicine IX
Hooman Mohseni; Massoud H. Agahi; Manijeh Razeghi, Editor(s)