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Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study
Numerical modeling is an effective tool for preoperative planning. The present work is devoted to a retrospective analysis of neurosurgical treatments for the occlusion of cerebral aneurysms using flow-diverters and hemodynamic factors affecting stent endothelization. Several different geometric app...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025183/ https://www.ncbi.nlm.nih.gov/pubmed/35455768 http://dx.doi.org/10.3390/jpm12040652 |
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author | Tikhvinskii, Denis Kuianova, Julia Kislitsin, Dmitrii Orlov, Kirill Gorbatykh, Anton Parshin, Daniil |
author_facet | Tikhvinskii, Denis Kuianova, Julia Kislitsin, Dmitrii Orlov, Kirill Gorbatykh, Anton Parshin, Daniil |
author_sort | Tikhvinskii, Denis |
collection | PubMed |
description | Numerical modeling is an effective tool for preoperative planning. The present work is devoted to a retrospective analysis of neurosurgical treatments for the occlusion of cerebral aneurysms using flow-diverters and hemodynamic factors affecting stent endothelization. Several different geometric approaches have been considered for virtual flow-diverters deployment. A comparative analysis of hemodynamic parameters as a result of computational modeling has been carried out basing on the four clinical cases: one successful treatment, one with no occlusion and two with in stent stenosis. For the first time, a quantitative assessment of both: the limiting magnitude of shear stresses that are necessary for the occurrence of in stent stenosis (MaxWSS > 1.23) and for conditions in which endothelialization is insufficiently active and occlusion of the cervical part of the aneurysm does not occur (MaxWSS < 1.68)—has been statistacally proven (p < 0.01). |
format | Online Article Text |
id | pubmed-9025183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90251832022-04-23 Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study Tikhvinskii, Denis Kuianova, Julia Kislitsin, Dmitrii Orlov, Kirill Gorbatykh, Anton Parshin, Daniil J Pers Med Article Numerical modeling is an effective tool for preoperative planning. The present work is devoted to a retrospective analysis of neurosurgical treatments for the occlusion of cerebral aneurysms using flow-diverters and hemodynamic factors affecting stent endothelization. Several different geometric approaches have been considered for virtual flow-diverters deployment. A comparative analysis of hemodynamic parameters as a result of computational modeling has been carried out basing on the four clinical cases: one successful treatment, one with no occlusion and two with in stent stenosis. For the first time, a quantitative assessment of both: the limiting magnitude of shear stresses that are necessary for the occurrence of in stent stenosis (MaxWSS > 1.23) and for conditions in which endothelialization is insufficiently active and occlusion of the cervical part of the aneurysm does not occur (MaxWSS < 1.68)—has been statistacally proven (p < 0.01). MDPI 2022-04-18 /pmc/articles/PMC9025183/ /pubmed/35455768 http://dx.doi.org/10.3390/jpm12040652 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tikhvinskii, Denis Kuianova, Julia Kislitsin, Dmitrii Orlov, Kirill Gorbatykh, Anton Parshin, Daniil Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study |
title | Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study |
title_full | Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study |
title_fullStr | Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study |
title_full_unstemmed | Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study |
title_short | Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study |
title_sort | numerical assessment of the risk of abnormal endothelialization for diverter devices: clinical data driven numerical study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025183/ https://www.ncbi.nlm.nih.gov/pubmed/35455768 http://dx.doi.org/10.3390/jpm12040652 |
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