Cargando…

A Finite Element Analysis Study from 3D CT to Predict Transcatheter Heart Valve Thrombosis

Background: Transcatheter aortic valve replacement has proved its safety and effectiveness in intermediate- to high-risk and inoperable patients with severe aortic stenosis. However, despite current guideline recommendations, the use of transcatheter aortic valve replacement (TAVR) to treat severe a...

Descripción completa

Detalles Bibliográficos
Autores principales: Nappi, Francesco, Mazzocchi, Laura, Timofeva, Irina, Macron, Laurent, Morganti, Simone, Avtaar Singh, Sanjeet Singh, Attias, David, Congedo, Antonio, Auricchio, Ferdinando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235717/
https://www.ncbi.nlm.nih.gov/pubmed/32225097
http://dx.doi.org/10.3390/diagnostics10040183
_version_ 1783536019299106816
author Nappi, Francesco
Mazzocchi, Laura
Timofeva, Irina
Macron, Laurent
Morganti, Simone
Avtaar Singh, Sanjeet Singh
Attias, David
Congedo, Antonio
Auricchio, Ferdinando
author_facet Nappi, Francesco
Mazzocchi, Laura
Timofeva, Irina
Macron, Laurent
Morganti, Simone
Avtaar Singh, Sanjeet Singh
Attias, David
Congedo, Antonio
Auricchio, Ferdinando
author_sort Nappi, Francesco
collection PubMed
description Background: Transcatheter aortic valve replacement has proved its safety and effectiveness in intermediate- to high-risk and inoperable patients with severe aortic stenosis. However, despite current guideline recommendations, the use of transcatheter aortic valve replacement (TAVR) to treat severe aortic valve stenosis caused by degenerative leaflet thickening and calcification has not been widely adopted in low-risk patients. This reluctance among both cardiac surgeons and cardiologists could be due to concerns regarding clinical and subclinical valve thrombosis. Stent performance alongside increased aortic root and leaflet stresses in surgical bioprostheses has been correlated with complications such as thrombosis, migration and structural valve degeneration. Materials and Methods: Self-expandable catheter-based aortic valve replacement (Medtronic, Minneapolis, MN, USA), which was received by patients who developed transcatheter heart valve thrombosis, was investigated using high-resolution biomodelling from computed tomography scanning. Calcific blocks were extracted from a 250 CT multi-slice image for precise three-dimensional geometry image reconstruction of the root and leaflets. Results: Distortion of the stent was observed with incomplete cranial and caudal expansion of the device. The incomplete deployment of the stent was evident in the presence of uncrushed refractory bulky calcifications. This resulted in incomplete alignment of the device within the aortic root and potential dislodgment. Conclusion: A Finite Element Analysis (FEA) investigation can anticipate the presence of calcified refractory blocks, the deformation of the prosthetic stent and the development of paravalvular orifice, and it may prevent subclinical and clinical TAVR thrombosis. Here we clearly demonstrate that using exact geometry from high-resolution CT scans in association with FEA allows detection of persistent bulky calcifications that may contribute to thrombus formation after TAVR procedure.
format Online
Article
Text
id pubmed-7235717
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-72357172020-05-22 A Finite Element Analysis Study from 3D CT to Predict Transcatheter Heart Valve Thrombosis Nappi, Francesco Mazzocchi, Laura Timofeva, Irina Macron, Laurent Morganti, Simone Avtaar Singh, Sanjeet Singh Attias, David Congedo, Antonio Auricchio, Ferdinando Diagnostics (Basel) Article Background: Transcatheter aortic valve replacement has proved its safety and effectiveness in intermediate- to high-risk and inoperable patients with severe aortic stenosis. However, despite current guideline recommendations, the use of transcatheter aortic valve replacement (TAVR) to treat severe aortic valve stenosis caused by degenerative leaflet thickening and calcification has not been widely adopted in low-risk patients. This reluctance among both cardiac surgeons and cardiologists could be due to concerns regarding clinical and subclinical valve thrombosis. Stent performance alongside increased aortic root and leaflet stresses in surgical bioprostheses has been correlated with complications such as thrombosis, migration and structural valve degeneration. Materials and Methods: Self-expandable catheter-based aortic valve replacement (Medtronic, Minneapolis, MN, USA), which was received by patients who developed transcatheter heart valve thrombosis, was investigated using high-resolution biomodelling from computed tomography scanning. Calcific blocks were extracted from a 250 CT multi-slice image for precise three-dimensional geometry image reconstruction of the root and leaflets. Results: Distortion of the stent was observed with incomplete cranial and caudal expansion of the device. The incomplete deployment of the stent was evident in the presence of uncrushed refractory bulky calcifications. This resulted in incomplete alignment of the device within the aortic root and potential dislodgment. Conclusion: A Finite Element Analysis (FEA) investigation can anticipate the presence of calcified refractory blocks, the deformation of the prosthetic stent and the development of paravalvular orifice, and it may prevent subclinical and clinical TAVR thrombosis. Here we clearly demonstrate that using exact geometry from high-resolution CT scans in association with FEA allows detection of persistent bulky calcifications that may contribute to thrombus formation after TAVR procedure. MDPI 2020-03-26 /pmc/articles/PMC7235717/ /pubmed/32225097 http://dx.doi.org/10.3390/diagnostics10040183 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nappi, Francesco
Mazzocchi, Laura
Timofeva, Irina
Macron, Laurent
Morganti, Simone
Avtaar Singh, Sanjeet Singh
Attias, David
Congedo, Antonio
Auricchio, Ferdinando
A Finite Element Analysis Study from 3D CT to Predict Transcatheter Heart Valve Thrombosis
title A Finite Element Analysis Study from 3D CT to Predict Transcatheter Heart Valve Thrombosis
title_full A Finite Element Analysis Study from 3D CT to Predict Transcatheter Heart Valve Thrombosis
title_fullStr A Finite Element Analysis Study from 3D CT to Predict Transcatheter Heart Valve Thrombosis
title_full_unstemmed A Finite Element Analysis Study from 3D CT to Predict Transcatheter Heart Valve Thrombosis
title_short A Finite Element Analysis Study from 3D CT to Predict Transcatheter Heart Valve Thrombosis
title_sort finite element analysis study from 3d ct to predict transcatheter heart valve thrombosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235717/
https://www.ncbi.nlm.nih.gov/pubmed/32225097
http://dx.doi.org/10.3390/diagnostics10040183
work_keys_str_mv AT nappifrancesco afiniteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT mazzocchilaura afiniteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT timofevairina afiniteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT macronlaurent afiniteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT morgantisimone afiniteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT avtaarsinghsanjeetsingh afiniteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT attiasdavid afiniteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT congedoantonio afiniteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT auricchioferdinando afiniteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT nappifrancesco finiteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT mazzocchilaura finiteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT timofevairina finiteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT macronlaurent finiteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT morgantisimone finiteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT avtaarsinghsanjeetsingh finiteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT attiasdavid finiteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT congedoantonio finiteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis
AT auricchioferdinando finiteelementanalysisstudyfrom3dcttopredicttranscatheterheartvalvethrombosis