| Literature DB >> 33723704 |
Keshav Kohli1, Zhenglun Alan Wei1,2, Vahid Sadri1, Tiffany Netto1, John C Lisko3, Adam B Greenbaum3, Vasilis Babaliaros3, John N Oshinski1,4, Ajit P Yoganathan5.
Abstract
In silico modeling has been proposed as a tool to simulate left ventricular (LV) outflow tract (LVOT) obstruction in patients undergoing transcatheter mitral valve replacement (TMVR). This study validated a simplified approach to simulate LV outflow hemodynamics in the setting of TMVR with anterior leaflet laceration, a clinical technique used to mitigate the risk of LVOT obstruction. Personalized, 3-dimensional computational fluid dynamics models were developed from computed tomography images of six patients who underwent TMVR with anterior leaflet laceration. LV outflow hemodynamics were simulated using the patient-specific anatomy and the peak systolic flow rate as boundary conditions. The peak outflow velocity, a clinically relevant hemodynamic metric, was extracted from each simulation (vsim-peak) and compared with the clinical measurement from Doppler echocardiography (vclin-peak) for validation. In silico models were successfully developed and implemented for all patients. The pre-processing time was 2 h per model and the simulation could be completed within 3 h. In three patients, the lacerated anterior leaflet exposed open cells of the transcatheter valve to flow. Good agreement was obtained between vsim-peak and vclin-peak (r = 0.97, p < 0.01) with average discrepancies of 5 ± 2% and 14 ± 1% for patients with exposed and unexposed cells of the transcatheter valve, respectively. The proposed in silico modeling paradigm therefore simulated LV outflow hemodynamics in a time-efficient manner and demonstrated good agreement with clinical measurements. Future studies should investigate the ability of this paradigm to support clinical applications.Entities:
Keywords: Computational fluid dynamics; LAMPOON; LVOT obstruction; Neo-LVOT; Patient-specific modeling; Transcatheter mitral valve replacement
Year: 2021 PMID: 33723704 DOI: 10.1007/s10439-021-02740-z
Source DB: PubMed Journal: Ann Biomed Eng ISSN: 0090-6964 Impact factor: 3.934