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Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study Научная публикация

Журнал Journal of Personalized Medicine
ISSN: 2075-4426
Вых. Данные Год: 2022, Том: 12, Номер: 4, Номер статьи : 652, Страниц : 25 DOI: 10.3390/jpm12040652
Ключевые слова artery stenosis; cerebral aneurysm; computational fluid dynamics; endothe-lialization; flow diverting device; occlusion; wall shear
Авторы Tikhvinskii Denis 1 , Kuianova Julia 1 , Kislitsin Dmitrii 2 , Orlov Kirill 2 , Gorbatykh Anton 2 , Parshin Daniil 1
Организации
1 Lavrentyev Institute of Hydrodynamics SB RAS
2 Neurosurgery Department of Meshalkin National Medical Research Center

Реферат: 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).
Библиографическая ссылка: Tikhvinskii D. , Kuianova J. , Kislitsin D. , Orlov K. , Gorbatykh A. , Parshin D.
Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study
Journal of Personalized Medicine. 2022. V.12. N4. 652 :1-25. DOI: 10.3390/jpm12040652 WOS Scopus РИНЦ OpenAlex
Идентификаторы БД:
Web of science: WOS:000786242000001
Scopus: 2-s2.0-85129141480
РИНЦ: 48581136
OpenAlex: W4224253620
Цитирование в БД:
БД Цитирований
Scopus 4
OpenAlex 5
РИНЦ 9
Web of science 2
Альметрики: