Kirill Orlov

Kirill Orlov


Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in Russian Journal of Numerical Analysis and Mathematical Modelling
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Journal Article
Closed access
AYArseny A. Yanchenko
Arseny A. Yanchenko
ACAlexander A. Cherevko
Alexander A. Cherevko
ACAlexander P. Chupakhin
Alexander P. Chupakhin
AKAlexey Krivoshapkin
Alexey Krivoshapkin
KOKirill Orlov
Kirill Orlov
Computer simulation is carried out for unsteady hemodynamics in a cerebral aneurysm of a blood vessel. Using the data of a real patient obtained in medical examination and during surgery, we reconstruct the 3D geometry of the anomaly, calculate hydrodynamic parameters of blood flow (flow velocity, streamline distribution, pressure, shear stress on walls, energy flux) and the deformation and stresses of the vessel walls. The calculations were performed for the following three cases: in the presence of an aneurysm, immediately after stent deployment changing the geometry of the vessel, and one year after the surgery. It is shown what changes of hydrodynamic and mechanical quantities characterize a successful surgery.

1 January 2013 in Russian Journal of Numerical Analysis and Mathematical Modelling
Verified
Journal Article
Closed access
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NVN. A. Vorobtsova
N. A. Vorobtsova
AYA. A. Yanchenko
A. A. Yanchenko
ACA. A. Cherevko
A. A. Cherevko
ACA. P. Chupakhin
A. P. Chupakhin
AKAlexey Krivoshapkin
Alexey Krivoshapkin
VBV. I. Baranov
V. I. Baranov

20 February 2023 in Polymers
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Journal Article
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IKIuliia Kuianova
Iuliia Kuianova
ACAlexander Chupakhin
Alexander Chupakhin
ABAlexey Sergeevich Besov
Alexey Sergeevich Besov
AGAnton Gorbatykh
Anton Gorbatykh
DKDmitry Kislitsin
Dmitry Kislitsin
DPDaniil Parshin
Daniil Parshin
The study of polymers’ rheological properties is of paramount importance both for the problems of their industrial production as well as for their practical application. Two polymers used for embolization of arteriovenous malformations (AVMs) are studied in this work: Onyx-18® and Squid-12®. Viscosity curve tests and computational fluid dynamics (CFD) were used to uncover viscosity law as a function of shear rate as well as behavior of the polymers in catheter or pathological tissue models. The property of thermal activation of viscosity was demonstrated, namely, the law of dependence of viscosity on temperature in the range from 20 °C to 37 °C was established. A zone of viscosity nonmonotonicity was identified, and a physical interpretation of the dependence of the embolic polymers’ viscosity on the shear rate was given on the basis of Cisco’s model. The obtained empirical constants will be useful for researchers based on the CFD of AVMs. A description of the process of temperature activation of the embolic polymers’ viscosity is important for understanding the mechanics of the embolization process by practicing surgeons as well as for producing new prospective embolic agents.

Verified
Journal Article
Open access
PDF file
DTDenis Tikhvinskii
Denis Tikhvinskii
IKIuliia Kuianova
Iuliia Kuianova
DKDmitry Kislitsin
Dmitry Kislitsin
KOKirill Orlov
Kirill Orlov
AGAnton Gorbatykh
Anton Gorbatykh
DPDaniil Parshin
Daniil Parshin
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).

1 February 2015 in Interventional Neuroradiology
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Journal Article
Closed access
KOKirill Orlov
Kirill Orlov
VPVyacheslav Panarin
Vyacheslav Panarin
AKAlexey Krivoshapkin
Alexey Krivoshapkin
DKDmitry Kislitsin
Dmitry Kislitsin
VBVadim Berestov
Vadim Berestov
AGAnton Gorbatykh
Anton Gorbatykh
Endovascular embolization is an important modality in the treatment of brain AVMs. Nowadays staged embolization is the method of choice for the prevention of perioperative hemorrhagic complications. Current theory suggests that simultaneous occlusion of more than 60% of AVM volume induces significant redistribution local blood flow. That, in turn, may lead to hemorrhage due to AVM rupture. Aside from angiographic findings, there is still no method that predicts the degree of safe partial embolization. Intraluminal measurement of flow velocity and pressure in the vicinity of the AVM nidus might allow detecting the changes in local hemodynamics. That can provide a valuable data and shed the light on the origin of vascular catastrophes. Ten patients underwent 12 embolization sessions with intraluminal flow velocity and pressure monitoring. The measurements were performed by dual-sensor guidewire. The “Combomap” (Volcano) system with Combowire microguidewires was chosen for measurements, as there is a documented experience of safe use of said guidewires in the cerebral vasculature. The findings observed during the study matched empirical data as well as the current physiological hypothesis of AVM hemorrhage. In conjunction with DSA runs, intraluminal flow velocity and pressure monitoring has the potential to become a valuable tool in AVM treatment.

1 February 2015 in Interventional Neuroradiology
Verified
Journal Article
Closed access
KOKirill Orlov
Kirill Orlov
VPVyacheslav Panarin
Vyacheslav Panarin
AKAlexey Krivoshapkin
Alexey Krivoshapkin
DKDmitry Kislitsin
Dmitry Kislitsin
VBVadim Berestov
Vadim Berestov
AGAnton Gorbatykh
Anton Gorbatykh