Patient specific numerical hemodynamics for postoperative risk assessment: series case study of EC-IC cerebral bypass

Patient specific numerical hemodynamics for postoperative risk assessment: series case study of EC-IC cerebral bypass Научная публикация

Журнал

Russian Journal of Numerical Analysis and Mathematical Modelling
ISSN: 0927-6467

Вых. Данные

Год: 2024, Том: 39, Номер: 5, Страницы: 301-310 Страниц : 10 DOI: 10.1515/rnam-2024-0026

Ключевые слова

Cerebral shunt; risk criterion; cerebral aneurysm; bypass patency; fluid-structure interaction problem; patient specific domain

Авторы

Kuianova Iuliia ¹ , Bervitskiy Anatoliy ^2,3 , Dubovoy Andrei ² , Parshin Daniil ¹

Организации

1	Lavrentyev Institute of Hydrodynamics , Novosibirsk , Russia
2	Federal Neurosurgical Center , Novosibirsk ; Russia
3	Novosibirsk State Medical University , Novosibirsk , Russia

The study is devoted to the hemodynamics during cerebral vascular bypass surgery for the treatment of cerebral aneurysms in two patients. The location, morphological characteristics and treatment approaches of the patients were similar, but different outcomes were observed as a result of the performed microsurgical procedures . Computational approach was used to analyze the hemodynamic differences of aneurysms, treated via extra-intra cranial (EC-IC) cerebral bypass shunt. The paper presents a new criterion based on the energy parameters of healthy compartment of cerebral circulation. The applied approach demonstrates a new effective method of preoperative risk modelling for medical decision-making.

Kuianova I. , Bervitskiy A. , Dubovoy A. , Parshin D.
Patient specific numerical hemodynamics for postoperative risk assessment: series case study of EC-IC cerebral bypass
Russian Journal of Numerical Analysis and Mathematical Modelling. 2024. V.39. N5. P.301-310. DOI: 10.1515/rnam-2024-0026 WOS Scopus РИНЦ OpenAlex

Поступила в редакцию:	22 мая 2024 г.
Принята к публикации:	29 авг. 2024 г.
Опубликована online:	31 окт. 2024 г.
Опубликована в печати:	26 нояб. 2024 г.

Web of science:	WOS:001345173600006
Scopus:	2-s2.0-85209597402
РИНЦ:	74489562
OpenAlex:	W4403955023

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