Finite Element Modeling Using Patient-Specific Geometry to Predict Aortic Valve Insufficiency During Percutaneous Pulmonary Valve Implantation

Carly L. Donahue; Varun Aggarwal; Victor H. Barocas

doi:10.1115/DMD2022-1022

Finite Element Modeling Using Patient-Specific Geometry to Predict Aortic Valve Insufficiency During Percutaneous Pulmonary Valve Implantation

Carly L. Donahue, Varun Aggarwal, Victor H. Barocas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Percutaneous pulmonary valve implantation (PPVI) is a non-surgical treatment in which a stented valve is delivered via catheter to replace a stenosed or leaky pulmonary valve. Stent oversizing is used to anchor the valve within the right ventricular outflow tract (RVOT), but overexpansion may interfere with adjoining structures specifically the aortic root and coronary arteries. Potential devastating consequences include distortion of the aortic sinus, causing aortic valve insufficiency, and/or compression of the coronary arteries. Because the outcome of PPVI is determined by the patient's anatomy, we propose a method that uses patient-specific finite-element (FE) models constructed from pre-procedural cross-sectional CT scan images to evaluate these potential risks prior to clinical intervention. In five cases from an ongoing retrospective study, our preliminary results demonstrate our model's ability to accurately identify the risk of aortic valve insufficiency as a consequence of the PPVI procedure.

Original language	English (US)
Title of host publication	Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022
Publisher	American Society of Mechanical Engineers
ISBN (Electronic)	9780791885710
DOIs	https://doi.org/10.1115/DMD2022-1022
State	Published - 2022
Event	2022 Design of Medical Devices Conference, DMD 2022 - Minneapolis, Virtual, United States Duration: Apr 11 2022 → Apr 14 2022

Publication series

Name	Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022

Conference

Conference	2022 Design of Medical Devices Conference, DMD 2022
Country/Territory	United States
City	Minneapolis, Virtual
Period	4/11/22 → 4/14/22

Bibliographical note

Funding Information:
This work was supported by the National Institutes of Health through the Cardiovascular Engineering Training Program at the University of Minnesota (T32-HL139431) and the Andrew David Sit Foundation Innovators Fund (FY21). The authors thank Claire Westman, Brittany Faanes, and Casey Hokanson for their contributions.

Publisher Copyright:
© 2022 by ASME

Keywords

aortic valve insufficiency
cardiac intervention
cardiovascular biomechanics
catheterization lab
finite element analysis
patient-specific modeling
valve replacement

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1115/DMD2022-1022

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Cite this

Donahue, C. L., Aggarwal, V., & Barocas, V. H. (2022). Finite Element Modeling Using Patient-Specific Geometry to Predict Aortic Valve Insufficiency During Percutaneous Pulmonary Valve Implantation. In Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022 Article V001T02A001 (Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022). American Society of Mechanical Engineers. https://doi.org/10.1115/DMD2022-1022

Finite Element Modeling Using Patient-Specific Geometry to Predict Aortic Valve Insufficiency During Percutaneous Pulmonary Valve Implantation. / Donahue, Carly L.; Aggarwal, Varun ; Barocas, Victor H.
Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022. American Society of Mechanical Engineers, 2022. V001T02A001 (Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Donahue, CL, Aggarwal, V & Barocas, VH 2022, Finite Element Modeling Using Patient-Specific Geometry to Predict Aortic Valve Insufficiency During Percutaneous Pulmonary Valve Implantation. in Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022., V001T02A001, Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022, American Society of Mechanical Engineers, 2022 Design of Medical Devices Conference, DMD 2022, Minneapolis, Virtual, United States, 4/11/22. https://doi.org/10.1115/DMD2022-1022

Donahue CL, Aggarwal V , Barocas VH. Finite Element Modeling Using Patient-Specific Geometry to Predict Aortic Valve Insufficiency During Percutaneous Pulmonary Valve Implantation. In Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022. American Society of Mechanical Engineers. 2022. V001T02A001. (Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022). doi: 10.1115/DMD2022-1022

Donahue, Carly L. ; Aggarwal, Varun ; Barocas, Victor H. / Finite Element Modeling Using Patient-Specific Geometry to Predict Aortic Valve Insufficiency During Percutaneous Pulmonary Valve Implantation. Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022. American Society of Mechanical Engineers, 2022. (Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022).

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abstract = "Percutaneous pulmonary valve implantation (PPVI) is a non-surgical treatment in which a stented valve is delivered via catheter to replace a stenosed or leaky pulmonary valve. Stent oversizing is used to anchor the valve within the right ventricular outflow tract (RVOT), but overexpansion may interfere with adjoining structures specifically the aortic root and coronary arteries. Potential devastating consequences include distortion of the aortic sinus, causing aortic valve insufficiency, and/or compression of the coronary arteries. Because the outcome of PPVI is determined by the patient's anatomy, we propose a method that uses patient-specific finite-element (FE) models constructed from pre-procedural cross-sectional CT scan images to evaluate these potential risks prior to clinical intervention. In five cases from an ongoing retrospective study, our preliminary results demonstrate our model's ability to accurately identify the risk of aortic valve insufficiency as a consequence of the PPVI procedure.",

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N2 - Percutaneous pulmonary valve implantation (PPVI) is a non-surgical treatment in which a stented valve is delivered via catheter to replace a stenosed or leaky pulmonary valve. Stent oversizing is used to anchor the valve within the right ventricular outflow tract (RVOT), but overexpansion may interfere with adjoining structures specifically the aortic root and coronary arteries. Potential devastating consequences include distortion of the aortic sinus, causing aortic valve insufficiency, and/or compression of the coronary arteries. Because the outcome of PPVI is determined by the patient's anatomy, we propose a method that uses patient-specific finite-element (FE) models constructed from pre-procedural cross-sectional CT scan images to evaluate these potential risks prior to clinical intervention. In five cases from an ongoing retrospective study, our preliminary results demonstrate our model's ability to accurately identify the risk of aortic valve insufficiency as a consequence of the PPVI procedure.

AB - Percutaneous pulmonary valve implantation (PPVI) is a non-surgical treatment in which a stented valve is delivered via catheter to replace a stenosed or leaky pulmonary valve. Stent oversizing is used to anchor the valve within the right ventricular outflow tract (RVOT), but overexpansion may interfere with adjoining structures specifically the aortic root and coronary arteries. Potential devastating consequences include distortion of the aortic sinus, causing aortic valve insufficiency, and/or compression of the coronary arteries. Because the outcome of PPVI is determined by the patient's anatomy, we propose a method that uses patient-specific finite-element (FE) models constructed from pre-procedural cross-sectional CT scan images to evaluate these potential risks prior to clinical intervention. In five cases from an ongoing retrospective study, our preliminary results demonstrate our model's ability to accurately identify the risk of aortic valve insufficiency as a consequence of the PPVI procedure.

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Finite Element Modeling Using Patient-Specific Geometry to Predict Aortic Valve Insufficiency During Percutaneous Pulmonary Valve Implantation

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Publisher link

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