Suppr超能文献

评估经导管主动脉瓣置换术中主动脉根部解剖异常并发症的生物工程案例研究:结合生物力学建模与CT成像

Bioengineering Case Study to Evaluate Complications of Adverse Anatomy of Aortic Root in Transcatheter Aortic Valve Replacement: Combining Biomechanical Modelling with CT imaging.

作者信息

Spadaccio Cristiano, Mazzocchi Laura, Timofeva Irina, Macron Laurent, De Cecco Carlo Nicola, Morganti Simone, Auricchio Ferdinando, Nappi Francesco

机构信息

Department of Cardiothoracic Surgery, Golden Jubilee National Hospital, Clydebank G81 4DY, UK.

University of Glasgow, Institute of Cardiovascular and Medical Sciences, Glasgow G12 8TA, UK.

出版信息

Bioengineering (Basel). 2020 Oct 1;7(4):121. doi: 10.3390/bioengineering7040121.

Abstract

Gated computed tomography (CT) might not adequately predict occurrence of post-implantation transcatheter aortic valve replacement (TAVR) complications in hostile aortic root as it would require a more complex integration of morphological, functional and hemodynamical parameters. We used a computational framework based on finite element analysis (FEA) to simulate patient-specific implantation. Application of biomechanical modelling using FEA to gated-CT was able to demonstrate the relation of the device with voluminous calcification, its consequent misalignment and a significant stent deformation. Use of FEA and other advanced computed predictive modelling techniques as an adjunct to CT scan could improve our understanding of TAVR, potentially predict complications and fate of the devices after implantation and inform patient-specific treatment.

摘要

门控计算机断层扫描(CT)可能无法充分预测在复杂主动脉根部进行经导管主动脉瓣置换术(TAVR)植入后并发症的发生情况,因为这需要更复杂地整合形态学、功能和血流动力学参数。我们使用基于有限元分析(FEA)的计算框架来模拟特定患者的植入情况。将使用FEA的生物力学建模应用于门控CT能够证明该装置与大量钙化的关系、其随之而来的错位以及显著的支架变形。使用FEA和其他先进的计算机预测建模技术作为CT扫描的辅助手段,可以增进我们对TAVR的理解,潜在地预测植入后装置的并发症和转归,并为特定患者的治疗提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a0e/7712517/540ef23a920c/bioengineering-07-00121-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验