Applicability assessment for in-silico patient-specific TEVAR procedures

Area of Science:

• Biomedical Engineering
• Computational Mechanics
• Cardiovascular Surgery

Background:

• Thoracic Endovascular Aortic Repair (TEVAR) is a minimally invasive treatment for thoracic aorta pathologies.
• Computational models, such as finite element analysis, can simulate TEVAR procedures.
• Ensuring the reliability and credibility of these models is crucial for clinical applications and in-silico trials.

Purpose of the Study:

• To apply a validated TEVAR computational methodology to a patient-specific case.
• To assess the overall applicability of TEVAR modeling for a patient population.
• To demonstrate the reliability of the numerical model using the ASME V&V40 protocol.

Main Methods:

• Finite element analysis was used to model the TEVAR procedure.
• A previously validated TEVAR methodology was applied to a patient-specific case.
• The ASME V&V40 protocol guided the assessment of model applicability and reliability.

Main Results:

• The TEVAR computational model was successfully applied to a patient-specific case.
• The model's reliability was assessed for a patient population context of use.
• Validation evidence was identified and adopted to demonstrate the numerical procedure's applicability.

Conclusions:

• The study demonstrates the applicability and reliability of computational modeling for TEVAR.
• The validated model can predict deployed stent-graft configurations in the vessel.
• This work supports the use of in-silico trials for evaluating TEVAR outcomes.