Patient-specific fluid–structure simulations of anomalous aortic origin of right coronary arteries

JTCVS Techniques(2022)

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摘要
Objectives: Anomalous aortic origin of the right coronary artery (AAORCA) may cause ischemia and sudden death. However, the specific anatomic indications for surgery are unclear, so dobutamine-stress instantaneous wave-free ratio (iFR) is increasingly used. Meanwhile, advances in fluid-structure interaction (FSI) modeling can simulate the pulsatile hemodynamics and tissue deformation. We sought to evaluate the feasibility of simulating the resting and dobutamine-stress iFR in AAORCA using patient-specific FSI models and to visualize the mechanism of ischemia within the intramural geometry and associated lumen narrowing. Methods: We developed 6 patient-specific FSI models of AAORCA using SimVascu-lar software. Three-dimensional geometries were segmented from coronary computed tomography angiography. Vascular outlets were coupled to lumped -parameter networks that included dynamic compression of the coronary microvas-culature and were tuned to each patient's vitals and cardiac output. Results: All cases were interarterial, and 5 of 6 had an intramural course. Measured iFRs ranged from 0.95 to 0.98 at rest and 0.80 to 0.95 under dobutamine stress. After we tuned the distal coronary resistances to achieve a stress flow rate triple that at rest, the simulations adequately matched the measured iFRs (r = 0.85, root-mean-square error = 0.04). The intramural lumen remained narrowed with simulated stress and resulted in lower iFRs without needing external compression from the pulmonary root. Conclusions: Patient-specific FSI modeling of AAORCA is a promising, noninvasive method to assess the iFR reduction caused by intramural geometries and inform surgical intervention. However, the models' sensitivity to distal coronary resistance suggests that quantitative stress-perfusion imaging may augment virtual and inva-sive iFR studies.
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关键词
anomalous coronary artery,cardiac catheterization,coronary computed tomography,coronary flow,computational flow dynamics
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