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Mutlu O, Saribay M, Yavuz MM, Salman HE, Al-Nabti ARDMH, Yalcin HC. Material modeling and recent findings in transcatheter aortic valve implantation simulations. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 255:108314. [PMID: 39024970 DOI: 10.1016/j.cmpb.2024.108314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/12/2024] [Accepted: 06/28/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND AND OBJECTIVE Transcatheter aortic valve implantation (TAVI) has significantly transformed the management of aortic valve (AV) diseases, presenting a minimally invasive option compared to traditional surgical valve replacement. Computational simulations of TAVI become more popular and offer a detailed investigation by employing patient-specific models. On the other hand, employing accurate material modeling procedures and applying basic modeling steps are crucial to determining reliable numerical results. Therefore, this review aims to outline the basic modeling approaches for TAVI, focusing on material modeling and geometry extraction, as well as summarizing the important findings from recent computational studies to guide future research in the field. METHODS This paper explains the basic steps and important points in setting up and running TAVI simulations. The material properties of the leaflets, valves, stents, and tissues utilized in TAVI simulations are provided, along with a comprehensive explanation of the geometric extraction methods employed. The differences between the finite element analysis, computational fluid dynamics, and fluid-structure interaction approaches are pointed out and the important aspects of TAVI modeling are described by elucidating the recent computational studies. RESULTS The results of the recent findings on TAVI simulations are summarized to demonstrate its powerful potential. It is observed that the material properties of aortic tissues and components of implanted valves should be modeled realistically to determine accurate results. For patient-specific AV geometries, incorporating calcific deposits on the leaflets is essential for ensuring the accuracy of computational findings. The results of numerical TAVI simulations indicate the significance of the selection of optimal valves and precise deployment within the appropriate anatomical position. These factors collectively contribute to the effective functionality of the implanted valve. CONCLUSIONS Recent studies in the literature have revealed the critical importance of patient-specific modeling, the selection of accurate material models, and bio-prosthetic valve diameters. Additionally, these studies emphasize the necessity of precise positioning of bio-prosthetic valves to achieve optimal performance in TAVI, characterized by an increased effective orifice area and minimal paravalvular leakage.
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Affiliation(s)
- Onur Mutlu
- Qatar University, Biomedical Research Center, Doha, Qatar
| | - Murat Saribay
- Istanbul Bilgi University, Mechanical Engineering Department, Istanbul, Turkey
| | - Mehmet Metin Yavuz
- Middle East Technical University, Mechanical Engineering Department, Ankara, Turkey
| | - Huseyin Enes Salman
- TOBB University of Economics and Technology, Department of Mechanical Engineering, Ankara, Turkey
| | | | - Huseyin Cagatay Yalcin
- Qatar University, Biomedical Research Center, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
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Cheng M, Xu Y, Liu W, Mu L, Lian X, Gao G, Sun L. Regulatory science promotes the translation of transcatheter tricuspid valve repair/replacement devices. Regen Biomater 2024; 11:rbae084. [PMID: 39220742 PMCID: PMC11364518 DOI: 10.1093/rb/rbae084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/01/2024] [Accepted: 06/08/2024] [Indexed: 09/04/2024] Open
Abstract
For patients with symptomatic and severe tricuspid regurgitation but inoperable with open surgery, transcatheter tricuspid valve intervention (TTVI) is a procedure of great clinical value. TTVI products include repair and replacement devices. TTVI products are one of the hotspots of investigation now, with different innovative biomaterials and structural designs in trials to satisfy divergent indications and reduce complications. With the emerging biomaterials, the technical difficulty of structural design will be greatly reduced, spurring further product innovation and development. The innovativeness and complexity of TTVI products have brought challenges to academia, industry, and regulatory agencies. Regulatory science provides a bridge to address these difficulties and challenges. This perspective article introduces the latest development of the TTVI products. With traditional methods, regulatory agencies face challenges in evaluating the safety and efficacy of TTVr/TTVR devices given the uncertainty of clinical use and the diversity of innovative structural design. This perspective article analyzes the regulatory challenges and discusses regulatory science that can be developed to assess the safety, efficacy, quality and performance of such products: including new approaches for innovative devices, pre-review path, computer modeling and simulation, accelerated wear testing methods for transcatheter heart valves and evidence-based research. This article reveals for the first time how to apply regulatory science systematically to TTVI products, which is of great relevance to their development and translation.
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Affiliation(s)
- Maobo Cheng
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing 100081, China
| | - Yun Xu
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing 100081, China
| | - Wei Liu
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing 100081, China
| | - Lanlan Mu
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing 100081, China
| | - Xiaoqi Lian
- Guangdong-Hong Kong-Macao Greater Bay Area, Center for Medical Device Evaluation and Inspection of NMPA, Shenzhen 518045, China
| | - Guobiao Gao
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing 100081, China
| | - Lei Sun
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing 100081, China
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Fukui M, Cavalcante JL, Bapat VN. Deformation in transcatheter heart valves: Clinical implications and considerations. J Cardiol 2024; 83:351-358. [PMID: 38432474 DOI: 10.1016/j.jjcc.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/19/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
Abstract
Transcatheter aortic valve replacement (TAVR) has emerged as a preferred treatment modality for aortic stenosis, marking a significant advancement in cardiac interventions. Transcatheter heart valves (THVs) have also received approval for treating failed bioprosthetic valves and rings across aortic, mitral, tricuspid, and pulmonic positions. Unlike surgically implanted valves, which are sewn into the annulus, THVs are anchored through relative oversizing. Although THVs are designed to function optimally in a fully expanded state, they exhibit a certain degree of tolerance to underexpansion. However, significant deformation beyond this tolerance can adversely affect the valve's hemodynamics and durability, ultimately impacting patient outcomes. Such post-implantation deviations from the valve's intended three-dimensional design are influenced by a variety of physiological and anatomical factors unique to each patient and procedure, leading to underexpansion, eccentric expansion, and vertical deformation. These deformation patterns increase leaflet stress and strain, potentially causing fatigue and damage. This review article delves into the extent of THV deformation, its impact on leaflet function, hypoattenuating leaflet thickening, and structural valve degeneration. It provides an in-depth analysis of deformation specifics in different procedural contexts, including TAVR in native aortic stenosis, aortic and mitral valve-in-valve procedures, and redo-TAVR. Additionally, the review discusses strategies to mitigate THV deformation during the procedure, offering insights into potential solutions to these challenges.
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Affiliation(s)
- Miho Fukui
- Minneapolis Heart Institute Foundation, Minneapolis, MN, USA.
| | - João L Cavalcante
- Minneapolis Heart Institute Foundation, Minneapolis, MN, USA; Minneapolis Heart Institute at Abbott Northwestern Hospital, Minneapolis, MN, USA
| | - Vinayak N Bapat
- Minneapolis Heart Institute Foundation, Minneapolis, MN, USA; Minneapolis Heart Institute at Abbott Northwestern Hospital, Minneapolis, MN, USA
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Tahir AM, Mutlu O, Bensaali F, Ward R, Ghareeb AN, Helmy SMHA, Othman KT, Al-Hashemi MA, Abujalala S, Chowdhury MEH, Alnabti ARDMH, Yalcin HC. Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes. J Clin Med 2023; 12:4774. [PMID: 37510889 PMCID: PMC10381346 DOI: 10.3390/jcm12144774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/08/2023] [Accepted: 04/10/2023] [Indexed: 07/30/2023] Open
Abstract
Aortic valve defects are among the most prevalent clinical conditions. A severely damaged or non-functioning aortic valve is commonly replaced with a bioprosthetic heart valve (BHV) via the transcatheter aortic valve replacement (TAVR) procedure. Accurate pre-operative planning is crucial for a successful TAVR outcome. Assessment of computational fluid dynamics (CFD), finite element analysis (FEA), and fluid-solid interaction (FSI) analysis offer a solution that has been increasingly utilized to evaluate BHV mechanics and dynamics. However, the high computational costs and the complex operation of computational modeling hinder its application. Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. Herein, we provide a comprehensive review of classical computational modeling approaches, medical imaging, and DL approaches for planning and outcome assessment of TAVR. Particularly, we focus on DL approaches in previous studies, highlighting the utilized datasets, deployed DL models, and achieved results. We emphasize the critical challenges and recommend several future directions for innovative researchers to tackle. Finally, an end-to-end smart DL framework is outlined for real-time assessment and recommendation of the best BHV design for TAVR. Ultimately, deploying such a framework in future studies will support clinicians in minimizing risks during TAVR therapy planning and will help in improving patient care.
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Affiliation(s)
- Anas M Tahir
- Electrical and Computer Engineering Department, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Biomedical Research Center, Qatar University, Doha 2713, Qatar
| | - Onur Mutlu
- Biomedical Research Center, Qatar University, Doha 2713, Qatar
| | - Faycal Bensaali
- Department of Electrical Engineering, Qatar University, Doha 2713, Qatar
| | - Rabab Ward
- Electrical and Computer Engineering Department, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Abdel Naser Ghareeb
- Heart Hospital, Hamad Medical Corporation, Doha 3050, Qatar
- Faculty of Medicine, Al Azhar University, Cairo 11884, Egypt
| | - Sherif M H A Helmy
- Noninvasive Cardiology Section, Cardiology Department, Heart Hospital, Hamad Medical Corporation, Doha 3050, Qatar
| | | | - Mohammed A Al-Hashemi
- Noninvasive Cardiology Section, Cardiology Department, Heart Hospital, Hamad Medical Corporation, Doha 3050, Qatar
| | | | | | | | - Huseyin C Yalcin
- Biomedical Research Center, Qatar University, Doha 2713, Qatar
- Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha 2713, Qatar
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Huang X, Zhang G, Zhou X, Yang X. A review of numerical simulation in transcatheter aortic valve replacement decision optimization. Clin Biomech (Bristol, Avon) 2023; 106:106003. [PMID: 37245279 DOI: 10.1016/j.clinbiomech.2023.106003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/08/2023] [Accepted: 05/15/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND Recent trials indicated a further expansion of clinical indication of transcatheter aortic valve replacement to younger and low-risk patients. Factors related to longer-term complications are becoming more important for use in these patients. Accumulating evidence indicates that numerical simulation plays a significant role in improving the outcome of transcatheter aortic valve replacement. Understanding mechanical features' magnitude, pattern, and duration is a topic of ongoing relevance. METHODS We searched the PubMed database using keywords such as "transcatheter aortic valve replacement" and "numerical simulation" and reviewed and summarized relevant literature. FINDINGS This review integrated recently published evidence into three subtopics: 1) prediction of transcatheter aortic valve replacement outcomes through numerical simulation, 2) implications for surgeons, and 3) trends in transcatheter aortic valve replacement numerical simulation. INTERPRETATIONS Our study offers a comprehensive overview of the utilization of numerical simulation in the context of transcatheter aortic valve replacement, and highlights the advantages, potential challenges from a clinical standpoint. The convergence of medicine and engineering plays a pivotal role in enhancing the outcomes of transcatheter aortic valve replacement. Numerical simulation has provided evidence of potential utility for tailored treatments.
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Affiliation(s)
- Xuan Huang
- Department of Cardiovascular Surgery, West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan, China
| | - Guangming Zhang
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xiaobo Zhou
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xiaoyan Yang
- Department of Cardiovascular Surgery, West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan, China.
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Tian J, Song X, Wang Y, Cheng M, Lu S, Xu W, Gao G, Sun L, Tang Z, Wang M, Zhang X. Regulatory perspectives of combination products. Bioact Mater 2022; 10:492-503. [PMID: 34901562 PMCID: PMC8637005 DOI: 10.1016/j.bioactmat.2021.09.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 09/02/2021] [Accepted: 09/02/2021] [Indexed: 12/22/2022] Open
Abstract
Combination products with a wide range of clinical applications represent a unique class of medical products that are composed of more than a singular medical device or drug/biological product. The product research and development, clinical translation as well as regulatory evaluation of combination products are complex and challenging. This review firstly introduced the origin, definition and designation of combination products. Key areas of systematic regulatory review on the safety and efficacy of device-led/supervised combination products were then presented. Preclinical and clinical evaluation of combination products was discussed. Lastly, the research prospect of regulatory science for combination products was described. New tools of computational modeling and simulation, novel technologies such as artificial intelligence, needs of developing new standards, evidence-based research methods, new approaches including the designation of innovative or breakthrough medical products have been developed and could be used to assess the safety, efficacy, quality and performance of combination products. Taken together, the fast development of combination products with great potentials in healthcare provides new opportunities for the advancement of regulatory review as well as regulatory science.
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Affiliation(s)
- Jiaxin Tian
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing, China
| | - Xu Song
- NMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial & Institute of Regulatory Science for Medical Devices & NMPA Research Base of Regulatory Science for Medical Devices, Sichuan University, Chengdu, China
- National Engineering Research Center for Biomaterials & College of Biomedical Engineering, Sichuan University, Chengdu, China
| | - Yongqing Wang
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing, China
| | - Maobo Cheng
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing, China
| | - Shuang Lu
- Center for Drug Evaluation, National Medical Products Administration, Beijing, China
| | - Wei Xu
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing, China
| | - Guobiao Gao
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing, China
| | - Lei Sun
- Center for Medical Device Evaluation, National Medical Products Administration, Beijing, China
| | - Zhonglan Tang
- NMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial & Institute of Regulatory Science for Medical Devices & NMPA Research Base of Regulatory Science for Medical Devices, Sichuan University, Chengdu, China
- National Engineering Research Center for Biomaterials & College of Biomedical Engineering, Sichuan University, Chengdu, China
| | - Minghui Wang
- NMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial & Institute of Regulatory Science for Medical Devices & NMPA Research Base of Regulatory Science for Medical Devices, Sichuan University, Chengdu, China
- National Engineering Research Center for Biomaterials & College of Biomedical Engineering, Sichuan University, Chengdu, China
| | - Xingdong Zhang
- NMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial & Institute of Regulatory Science for Medical Devices & NMPA Research Base of Regulatory Science for Medical Devices, Sichuan University, Chengdu, China
- National Engineering Research Center for Biomaterials & College of Biomedical Engineering, Sichuan University, Chengdu, China
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