Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves
Transcatheter aortic valve replacement (TAVR) is a minimally invasive interventional solution for treating aortic stenosis. The complex post-TAVR complications are associated with the type of valve implanted and the position of the implantation. The study aimed to establish a rapid numerical researc...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-06-01
|
| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2024.1407215/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832592196302274560 |
|---|---|
| author | Zhuangyuan Meng Haishan Zhang Yunhan Cai Yuan Gao Changbin Liang Jun Wang Xin Chen Liang Guo ShengZhang Wang ShengZhang Wang |
| author_facet | Zhuangyuan Meng Haishan Zhang Yunhan Cai Yuan Gao Changbin Liang Jun Wang Xin Chen Liang Guo ShengZhang Wang ShengZhang Wang |
| author_sort | Zhuangyuan Meng |
| collection | DOAJ |
| description | Transcatheter aortic valve replacement (TAVR) is a minimally invasive interventional solution for treating aortic stenosis. The complex post-TAVR complications are associated with the type of valve implanted and the position of the implantation. The study aimed to establish a rapid numerical research method for TAVR to assess the performance differences of self-expanding valves released at various positions. It also aimed to calculate the risks of postoperative paravalvular leak and atrioventricular conduction block, comparing these risks to clinical outcomes to verify the method’s effectiveness and accuracy. Based on medical images, six cases were established, including the aortic wall, native valve and calcification; one with a bicuspid aortic valve and five with tricuspid aortic valves. The parameters for the stent materials used by the patients were customized. High strain in the contact area between the stent and the valve annulus may lead to atrioventricular conduction block. Postoperatively, the self-expanding valve maintained a circular cross-section, reducing the risk of paravalvular leak and demonstrating favorable hemodynamic characteristics, consistent with clinical observations. The outcomes of the six simulations showed no significant difference in valve frame morphology or paravalvular leak risk compared to clinical results, thereby validating the numerical simulation process proposed for quickly selecting valve models and optimal release positions, aiding in TAVR preoperative planning based on patients’geometric characteristics. |
| format | Article |
| id | doaj-art-20cf00a9aba24f0c8659b8b6d58d94fe |
| institution | Kabale University |
| issn | 1664-042X |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj-art-20cf00a9aba24f0c8659b8b6d58d94fe2025-01-21T12:21:42ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2024-06-011510.3389/fphys.2024.14072151407215Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valvesZhuangyuan Meng0Haishan Zhang1Yunhan Cai2Yuan Gao3Changbin Liang4Jun Wang5Xin Chen6Liang Guo7ShengZhang Wang8ShengZhang Wang9Department of Aeronautics and Astronautics, Institute of Biomechanics, Fudan University, Shanghai, ChinaDepartment of Cardiology, First Hospital of China Medical University, Shenyang, ChinaDepartment of Aeronautics and Astronautics, Institute of Biomechanics, Fudan University, Shanghai, ChinaDepartment of Cardiology, First Hospital of China Medical University, Shenyang, ChinaDepartment of Cardiology, First Hospital of China Medical University, Shenyang, ChinaDepartment of Anesthesia, First Hospital of China Medical University, Shenyang, ChinaDepartment of Cardiovascular Ultrasound, First Hospital of China Medical University, Shenyang, ChinaDepartment of Cardiology, First Hospital of China Medical University, Shenyang, ChinaDepartment of Aeronautics and Astronautics, Institute of Biomechanics, Fudan University, Shanghai, ChinaAcademy for Engineering and Technology, Institute of Biomedical Engineering Technology, Fudan University, Shanghai, ChinaTranscatheter aortic valve replacement (TAVR) is a minimally invasive interventional solution for treating aortic stenosis. The complex post-TAVR complications are associated with the type of valve implanted and the position of the implantation. The study aimed to establish a rapid numerical research method for TAVR to assess the performance differences of self-expanding valves released at various positions. It also aimed to calculate the risks of postoperative paravalvular leak and atrioventricular conduction block, comparing these risks to clinical outcomes to verify the method’s effectiveness and accuracy. Based on medical images, six cases were established, including the aortic wall, native valve and calcification; one with a bicuspid aortic valve and five with tricuspid aortic valves. The parameters for the stent materials used by the patients were customized. High strain in the contact area between the stent and the valve annulus may lead to atrioventricular conduction block. Postoperatively, the self-expanding valve maintained a circular cross-section, reducing the risk of paravalvular leak and demonstrating favorable hemodynamic characteristics, consistent with clinical observations. The outcomes of the six simulations showed no significant difference in valve frame morphology or paravalvular leak risk compared to clinical results, thereby validating the numerical simulation process proposed for quickly selecting valve models and optimal release positions, aiding in TAVR preoperative planning based on patients’geometric characteristics.https://www.frontiersin.org/articles/10.3389/fphys.2024.1407215/fullfinite element analysistranscatheter aortic valve replacementstructural simulationself-expanding valvecomputational fluid dynamics |
| spellingShingle | Zhuangyuan Meng Haishan Zhang Yunhan Cai Yuan Gao Changbin Liang Jun Wang Xin Chen Liang Guo ShengZhang Wang ShengZhang Wang Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves Frontiers in Physiology finite element analysis transcatheter aortic valve replacement structural simulation self-expanding valve computational fluid dynamics |
| title | Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves |
| title_full | Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves |
| title_fullStr | Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves |
| title_full_unstemmed | Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves |
| title_short | Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves |
| title_sort | computational study of transcatheter aortic valve replacement based on patient specific models rapid surgical planning for self expanding valves |
| topic | finite element analysis transcatheter aortic valve replacement structural simulation self-expanding valve computational fluid dynamics |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2024.1407215/full |
| work_keys_str_mv | AT zhuangyuanmeng computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves AT haishanzhang computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves AT yunhancai computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves AT yuangao computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves AT changbinliang computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves AT junwang computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves AT xinchen computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves AT liangguo computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves AT shengzhangwang computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves AT shengzhangwang computationalstudyoftranscatheteraorticvalvereplacementbasedonpatientspecificmodelsrapidsurgicalplanningforselfexpandingvalves |