Home LiteratureArticle Details
PMID: 39278964 Published · epublish English Journal Article

Intracranial bypass for giant aneurysms treatment assessed by computational fluid dynamics (CFD) analysis.

Scientific reports ·Vol. 14 ·No. 1 ·2024-00-16 ·页码 21548

Wiśniewski K, Reorowicz P, Tyfa Z, Price B, Jian A, Fahlström A, Obidowski D, Jaskólski DJ, Jóźwik K, Drummond K, Wessels L, Vajkoczy P, Adamides AA

Abstract

Unruptured giant intracranial aneurysms (GIA) are those with diameters of 25 mm or greater. As aneurysm size is correlated with rupture risk, GIA natural history is poor. Parent artery occlusion or trapping plus bypass revascularization should be considered to encourage intra-aneurysmal thrombosis when other treatment options are contraindicated. The mechanistic background of these methods is poorly studied. Thus, we assessed the potential of computational fluid dynamics (CFD) and fluid-structure interaction (FSI) analyses for clinical use in the preoperative stage. A CFD investigation in three patient-specific flexible models of whole arterial brain circulation was performed. A C6 ICA segment GIA model was created based on CT angiography. Two models were then constructed that simulated a virtual bypass in combination with proximal GIA occlusion, but with differing middle cerebral artery (MCA) recipient vessels for the anastomosis. FSI and CFD investigations were performed in three models to assess changes in flow pattern and haemodynamic parameters alternations (wall shear stress (WSS), oscillatory shear index (OSI), maximal time averaged WSS (TAWSS), and pressure). General flow splitting across the entire domain was affected by virtual bypass procedures, and any deficiency was partially compensated by a specific configuration of the circle of Willis. Following the implementation of bypass procedures, a reduction in haemodynamic parameters was observed within the aneurysm in both cases under analysis. In the case of the temporal MCA branch bypass, the decreases in the studied parameters were slightly greater than in the frontal MCA branch bypass. The reduction in the magnitude of the chosen area-averaged parameters (averaged over the aneurysm wall surface) was as follows: WSS 35.7%, OSI 19.0%, TAWSS 94.7%, and pressure 24.2%. FSI CFD investigation based on patient-specific anatomy models with subsequent stimulation of virtual proximal aneurysm occlusion in conjunction with bypass showed that this method creates a pro-thrombotic favourable environment whilst reducing intra-aneurysmal pressure leading to shrinking. MCA branch recipient selection for optimum haemodynamic conditions should be evaluated individually in the preoperative stage.

Keywords
Cerebral blood flow hemodynamics Computational fluid dynamics Giant aneurysms Intracranial bypass Thrombosis
MeSH 主题词
Intracranial Aneurysm/surgery,physiopathology,diagnostic imaging Humans Hydrodynamics Hemodynamics Computer Simulation Middle Cerebral Artery/surgery,physiopathology,diagnostic imaging Cerebrovascular Circulation/physiology Male Models, Cardiovascular Middle Aged Cerebral Angiography Computed Tomography Angiography Cerebral Revascularization/methods
作者与单位
共 13 位作者,点击展开单位 / ORCID
Wiśniewski Karol
Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia. [email protected]. | Department of Neurosurgery and Neurooncology, Medical University of Łódź, Kopcińskiego 22, 90-153, Lodz, Poland. [email protected]. | Institute of Turbomachinery, Lodz University of Technology, 219/223 Wolczanska Str, 90-924, Lodz, Poland. [email protected].
Reorowicz Piotr
Institute of Turbomachinery, Lodz University of Technology, 219/223 Wolczanska Str, 90-924, Lodz, Poland.
Tyfa Zbigniew
Institute of Turbomachinery, Lodz University of Technology, 219/223 Wolczanska Str, 90-924, Lodz, Poland.
Price Benjamin
Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia.
Jian Anne
Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia.
Fahlström Andreas
Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia. | Department of Medical Sciences, Section of Neurosurgery, Uppsala University, 75185, Uppsala, Sweden.
Obidowski Damian
Institute of Turbomachinery, Lodz University of Technology, 219/223 Wolczanska Str, 90-924, Lodz, Poland. [email protected].
Jaskólski Dariusz J
Department of Neurosurgery and Neurooncology, Medical University of Łódź, Kopcińskiego 22, 90-153, Lodz, Poland.
Jóźwik Krzysztof
Institute of Turbomachinery, Lodz University of Technology, 219/223 Wolczanska Str, 90-924, Lodz, Poland.
Drummond Katharine
Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia. | Department of Surgery, University of Melbourne, 300 Grattan St, Parkville, 3050, Australia.
Wessels Lars
Department of Neurosurgery and Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Berlin, Germany.
Vajkoczy Peter
Department of Neurosurgery and Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Berlin, Germany.
Adamides Alexios A
Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia. | Department of Surgery, University of Melbourne, 300 Grattan St, Parkville, 3050, Australia.
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Published
2024-00-16
电子出版
2024-00-16
页码
21548
Language
English
Country/Region
England
NLM ID
101563288
基金资助
Narodowe Centrum Badań i Rozwoju · LIDER/12/0056/L-10/18/NCBR/2019
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]