In Silico Trials of Prosthetic Valves Replicate Methodologies for Evaluating the Fatigue Life of Artificial Leaflets to Expand Beyond In Vitro Tests and Conventional Clinical Trials

生物信息学 临床试验 医学 生物医学工程 生物 病理 生物化学 基因
作者
Pengzhi Mao,Min Jin,Wei Li,Haitao Zhang,Haozheng Li,Shilong Li,Yuting Yang,Minjia Zhu,Yue Shi,Xuehuan Zhang,Duanduan Chen
出处
期刊:Biomedicines [Multidisciplinary Digital Publishing Institute]
卷期号:13 (5): 1135-1135
标识
DOI:10.3390/biomedicines13051135
摘要

Background: Fatigue failure of artificial leaflets significantly limits the durability of prosthetic valves. However, the costs and complexities associated with in vitro testing and conventional clinical trials to investigate the fatigue life of leaflets are progressively escalating. In silico trials offer an alternative solution and validation pathway. This study presents in silico trials of prosthetic valves, along with methodologies incorporating nonlinear behaviors to evaluate the fatigue life of artificial leaflets. Methods: Three virtual patient models were established based on in vitro test and clinical trial data, and virtual surgeries and physiological homeostasis maintenance simulations were performed. These simulations modeled the hemodynamics of three virtual patients following transcatheter valve therapy to predict the service life and crack propagation of leaflets based on the fatigue damage assessment. Results and Conclusions: Compared to traditional trials, in silico trials enable a broader and more rapid investigation into factors related to leaflet damage. The fatigue life of the leaflets in two virtual patients with good implantation morphology exceeded 400 million cycles, meeting the requirements, while the fatigue life of a virtual patient with a shape fold in the leaflet was only 440,000 cycles. The fatigue life of the leaflets varied considerably with different implant morphologies. Postoperative balloon dilation positively enhanced fatigue life. Importantly, in silico trials yielded insights that are difficult or impossible to uncover through conventional experiments, such as the increased susceptibility of leaflets to fatigue damage under compressive loading.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
虚幻采枫发布了新的文献求助10
1秒前
蒋12完成签到,获得积分10
1秒前
15274261620完成签到,获得积分10
2秒前
蒋12发布了新的文献求助10
4秒前
量子星尘发布了新的文献求助10
4秒前
6秒前
oo完成签到,获得积分10
7秒前
8秒前
邵润钰完成签到,获得积分10
9秒前
果小镁发布了新的文献求助10
10秒前
11秒前
李健应助勤劳的乐安采纳,获得10
12秒前
13秒前
qianqina完成签到,获得积分10
14秒前
孔孔孔发布了新的文献求助10
15秒前
桐桐应助everyone_woo采纳,获得10
16秒前
顺利秋灵完成签到,获得积分20
16秒前
16秒前
17秒前
Redshift发布了新的文献求助10
17秒前
qianqina发布了新的文献求助10
17秒前
田様应助everyone_woo采纳,获得10
19秒前
20秒前
20秒前
20秒前
蓝华发布了新的文献求助10
21秒前
ding应助kiteWYL采纳,获得10
22秒前
22秒前
小马甲应助echo采纳,获得30
22秒前
赘婿应助everyone_woo采纳,获得10
22秒前
24秒前
hxq发布了新的文献求助10
25秒前
25秒前
量子星尘发布了新的文献求助10
27秒前
果小镁发布了新的文献求助30
28秒前
29秒前
莫名发布了新的文献求助20
29秒前
CipherSage应助文龙采纳,获得30
30秒前
核桃应助黎明采纳,获得50
30秒前
31秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Local Grammar Approaches to Speech Act Studies 5000
Plutonium Handbook 4000
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 1500
Building Quantum Computers 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 900
Molecular Cloning: A Laboratory Manual (Fourth Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4220943
求助须知:如何正确求助?哪些是违规求助? 3754469
关于积分的说明 11804309
捐赠科研通 3418107
什么是DOI,文献DOI怎么找? 1876047
邀请新用户注册赠送积分活动 929637
科研通“疑难数据库(出版商)”最低求助积分说明 838159