Computer modeling for the prediction of thoracic aortic stent graft collapse

作者: Salvatore Pasta , Jae-Sung Cho , Onur Dur , Kerem Pekkan , David A. Vorp

DOI: 10.1016/J.JVS.2012.09.063

关键词:

摘要: Objective To assess the biomechanical implications of excessive stent protrusion into aortic arch in relation to thoracic graft (TASG) collapse by simulating structural load and quantifying fluid dynamics on TASG wall extended a model arch. Methods One-way coupled fluid-solid interaction analyses were performed investigate flow-induced hemodynamic loads exerted proximal reconstructed from patient who underwent traumatic injury repair. Mechanical properties Gore TAG endoprosthesis (W. L. Assoc, Flagstaff, Ariz) assessed via experimental radial compression testing incorporated computational modeling. The geometry was characterized extension (PE) angle (θ) between lesser curvature aorta. effect θ explored with following four models PE fixed at 1.1 cm: θ = 10 degrees, 20 30 40 degrees. evaluated degrees: PE = cm, 1.4 1.7 cm 2.0 cm. Results presence resulted formation swirling, complex flow regions luminal surface endograft. High values (PE = cm) led markedly reduced left subclavian rate (0.27 L/min), low systolic perfusion pressure (98 mm Hg), peak diameter reduction (2 mm). transmural across maximum for highest θ, 15.2 Hg 11.6 Conclusions findings this study suggest that increased imparts an apparent risk distal end-organ malperfusion hypertension both lead wall, would portend collapse. Patient-specific modeling may allow identification patients high guide preventive intervention.

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