Patient specific numerical hemodynamics for postoperative risk assessment: series case study of EC-IC cerebral bypass
Abstract
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.
Funding statement: The study was supported by the Russian Science Foundation grant No. 20-71-10034.
- Abbreviations
- AComA
anterior communicating artery
- COW
circle of Willis
- CT
computed tomography
- EC-IC bypass
extracranial–intracranial bypass
- FSI
fluid–solid interface
- IA
intracranial aneurysms
- ICA
internal carotid artery
- M1
segment of middle cerebral artery
- MCA
middle cerebral artery
- MCAP
middle cerebral artery pressure
- TA
temporal artery
- VA
vertebral artery
- WSS
wall shear stress
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© 2024 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
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- Junction conditions for one-dimensional network hemodynamic model for total cavopulmonary connection using physically informed deep learning technique
- Multi-physics approach to model the lymph transport in the murine immune system
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- Patient specific numerical hemodynamics for postoperative risk assessment: series case study of EC-IC cerebral bypass
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Artikel in diesem Heft
- Frontmatter
- Towards realistic blood cell biomechanics in microvascular thrombosis simulations
- Temporally and spatially segregated discretization for a coupled electromechanical myocardium model
- Junction conditions for one-dimensional network hemodynamic model for total cavopulmonary connection using physically informed deep learning technique
- Multi-physics approach to model the lymph transport in the murine immune system
- Computation and analysis of optimal disturbances of periodic solution of the hepatitis B dynamics model
- Patient specific numerical hemodynamics for postoperative risk assessment: series case study of EC-IC cerebral bypass
- Refining uniform approximation algorithm for low-rank Chebyshev embeddings