Applicability assessment for in-silico patient-specific TEVAR procedures

Thoracic Endovascular Aortic Repair (TEVAR) is a minimally invasive technique to treat thoracic aorta pathologies and consists of placing a self-expandable stent-graft into the pathological region to restore the vessel lumen and recreate a more physiological condition. Exhaustive computational models, namely the finite element analysis, can be implemented to reproduce the clinical procedure. In this context, numerical models, if used for clinical applications, must be reliable and the simulation credibility should be proved to predict clinical procedure outcomes or to build in-silico clinical trials. This work aims first at applying a previously validated TEVAR methodology to a patient-specific case. Then, defining the TEVAR procedure performed on a patient population as the context of use, the overall applicability of the TEVAR modeling is assessed to demonstrate the reliability of the model itself following a step-by-step method based on the ASME V&V40 protocol. Validation evidence sources are identified for the specific context of use and adopted to demonstrate the applicability of the numerical procedure, thereby answering a question of interest that evaluates the deployed stent-graft configuration in the vessel.

Automated summary

Thoracic Endovascular Aortic Repair (TEVAR) is a minimally invasive technique for treating thoracic aorta pathologies. Computational models, such as finite element analysis, can be used to predict clinical procedure outcomes or conduct in-silico clinical trials. This study applies a validated TEVAR methodology to a patient-specific case and assesses the overall applicability of the TEVAR modeling using the ASME V&V40 protocol. Validation evidence sources are identified and adopted to demonstrate the reliability and applicability of the numerical procedure.