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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...

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Autores principales: Tikhvinskii, Denis, Kuianova, Julia, Kislitsin, Dmitrii, Orlov, Kirill, Gorbatykh, Anton, Parshin, Daniil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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).
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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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