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Modeling of the optimal scenario of arteriovenous malformation embolization Full article

Conference Математические проблемы механики сплошных сред: Всероссийская конференция и школа для молодых ученых, посвященные 100-летию академика Л.В. Овсянникова
13-17 May 2019 , Новосибирск
Journal Journal of Physics: Conference Series
ISSN: 1742-6588
Output data Year: 2019, Volume: 1268, Article number : 012017, Pages count : 7 DOI: 10.1088/1742-6596/1268/1/012017
Authors Cherevko A A 1 , Gologush T S 1 , Petrenko I A 2 , Ostapenko V V 1
Affiliations
1 Lavrentyev Institute of Hydrodynamics SB RAS, Novosibirsk, Russia
2 Vladimir State University, Vladimir, Russia

Funding (1)

1 Министерство науки и высшего образования Российской Федерации 14.W03.31.0002

Abstract: Cerebral arteriovenous malformation is a congenital developmental pathology of cerebral vessels, in which the arterial and venous blood vessels are connected directly by randomly interlaced degenerate vessels. This is a dangerous disease affecting the functioning of the brain, at which the risk of intracerebral hemorrhage is high. One of the methods of treatment of arteriovenous malformation is embolization - endovascular filling of arteriovenous malformation vessels with a special medical embolizing composition for blocking blood flow through them. This method is widely used, but still in some cases accompanied by intraoperative rupture of arteriovenous malformation. In this paper, on the basis of a one-dimensional model of joint two-phase filtration of blood and an embolizing composition, the optimal scenario of embolization is studied from the point of view of safety and efficiency. The methods of admissible and optimal embolization, which reduce the risk of rupture of arteriovenous malformation vessels, are considered.
Cite: Cherevko A.A. , Gologush T.S. , Petrenko I.A. , Ostapenko V.V.
Modeling of the optimal scenario of arteriovenous malformation embolization
Journal of Physics: Conference Series. 2019. V.1268. 012017 :1-7. DOI: 10.1088/1742-6596/1268/1/012017 Scopus РИНЦ OpenAlex
Identifiers:
Scopus: 2-s2.0-85073901190
Elibrary: 41809279
OpenAlex: W2959957650
Citing: Пока нет цитирований
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