Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review
Thrombosis is a condition closely related to cerebral aneurysms and controlled thrombosis is the main purpose of endovascular embolization treatment. The mechanisms governing thrombus initiation and evolution in cerebral aneurysms have not been fully elucidated and this presents challenges for inter...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2018-04-01
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| Series: | Frontiers in Physiology |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fphys.2018.00306/full |
| _version_ | 1818135029948088320 |
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| author | Malebogo N. Ngoepe Malebogo N. Ngoepe Malebogo N. Ngoepe Alejandro F. Frangi James V. Byrne Yiannis Ventikos |
| author_facet | Malebogo N. Ngoepe Malebogo N. Ngoepe Malebogo N. Ngoepe Alejandro F. Frangi James V. Byrne Yiannis Ventikos |
| author_sort | Malebogo N. Ngoepe |
| collection | DOAJ |
| description | Thrombosis is a condition closely related to cerebral aneurysms and controlled thrombosis is the main purpose of endovascular embolization treatment. The mechanisms governing thrombus initiation and evolution in cerebral aneurysms have not been fully elucidated and this presents challenges for interventional planning. Significant effort has been directed towards developing computational methods aimed at streamlining the interventional planning process for unruptured cerebral aneurysm treatment. Included in these methods are computational models of thrombus development following endovascular device placement. The main challenge with developing computational models for thrombosis in disease cases is that there exists a wide body of literature that addresses various aspects of the clotting process, but it may not be obvious what information is of direct consequence for what modeling purpose (e.g., for understanding the effect of endovascular therapies). The aim of this review is to present the information so it will be of benefit to the community attempting to model cerebral aneurysm thrombosis for interventional planning purposes, in a simplified yet appropriate manner. The paper begins by explaining current understanding of physiological coagulation and highlights the documented distinctions between the physiological process and cerebral aneurysm thrombosis. Clinical observations of thrombosis following endovascular device placement are then presented. This is followed by a section detailing the demands placed on computational models developed for interventional planning. Finally, existing computational models of thrombosis are presented. This last section begins with description and discussion of physiological computational clotting models, as they are of immense value in understanding how to construct a general computational model of clotting. This is then followed by a review of computational models of clotting in cerebral aneurysms, specifically. Even though some progress has been made towards computational predictions of thrombosis following device placement in cerebral aneurysms, many gaps still remain. Answering the key questions will require the combined efforts of the clinical, experimental and computational communities. |
| first_indexed | 2024-12-11T09:18:01Z |
| format | Article |
| id | doaj.art-f3a1797c031945f5bdec8147dc2cbb5e |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-11T09:18:01Z |
| publishDate | 2018-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-f3a1797c031945f5bdec8147dc2cbb5e2022-12-22T01:13:20ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2018-04-01910.3389/fphys.2018.00306259981Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A ReviewMalebogo N. Ngoepe0Malebogo N. Ngoepe1Malebogo N. Ngoepe2Alejandro F. Frangi3James V. Byrne4Yiannis Ventikos5Department of Mechanical Engineering, University of Cape Town, Cape Town, South AfricaCentre for High Performance Computing, Council for Scientific and Industrial Research, Cape Town, South AfricaStellenbosch Institute for Advanced Study, Wallenberg Research Centre at Stellenbosch University, Stellenbosch, South AfricaCenter for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, Sheffield, United KingdomDepartment of Neuroradiology, John Radcliffe Hospital, Oxford, United KingdomUCL Mechanical Engineering, University College London, London, United KingdomThrombosis is a condition closely related to cerebral aneurysms and controlled thrombosis is the main purpose of endovascular embolization treatment. The mechanisms governing thrombus initiation and evolution in cerebral aneurysms have not been fully elucidated and this presents challenges for interventional planning. Significant effort has been directed towards developing computational methods aimed at streamlining the interventional planning process for unruptured cerebral aneurysm treatment. Included in these methods are computational models of thrombus development following endovascular device placement. The main challenge with developing computational models for thrombosis in disease cases is that there exists a wide body of literature that addresses various aspects of the clotting process, but it may not be obvious what information is of direct consequence for what modeling purpose (e.g., for understanding the effect of endovascular therapies). The aim of this review is to present the information so it will be of benefit to the community attempting to model cerebral aneurysm thrombosis for interventional planning purposes, in a simplified yet appropriate manner. The paper begins by explaining current understanding of physiological coagulation and highlights the documented distinctions between the physiological process and cerebral aneurysm thrombosis. Clinical observations of thrombosis following endovascular device placement are then presented. This is followed by a section detailing the demands placed on computational models developed for interventional planning. Finally, existing computational models of thrombosis are presented. This last section begins with description and discussion of physiological computational clotting models, as they are of immense value in understanding how to construct a general computational model of clotting. This is then followed by a review of computational models of clotting in cerebral aneurysms, specifically. Even though some progress has been made towards computational predictions of thrombosis following device placement in cerebral aneurysms, many gaps still remain. Answering the key questions will require the combined efforts of the clinical, experimental and computational communities.http://journal.frontiersin.org/article/10.3389/fphys.2018.00306/fullcerebral aneurysmthrombosisflow diverterinterventional planningcomputational modeling |
| spellingShingle | Malebogo N. Ngoepe Malebogo N. Ngoepe Malebogo N. Ngoepe Alejandro F. Frangi James V. Byrne Yiannis Ventikos Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review Frontiers in Physiology cerebral aneurysm thrombosis flow diverter interventional planning computational modeling |
| title | Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review |
| title_full | Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review |
| title_fullStr | Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review |
| title_full_unstemmed | Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review |
| title_short | Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review |
| title_sort | thrombosis in cerebral aneurysms and the computational modeling thereof a review |
| topic | cerebral aneurysm thrombosis flow diverter interventional planning computational modeling |
| url | http://journal.frontiersin.org/article/10.3389/fphys.2018.00306/full |
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