Abstrait

The computational modeling of thrombosis in cerebral aneurysms.

James Suzanna*

Thrombosis is a disorder that is intimately linked to cerebral aneurysms, and the major goal of endovascular embolization treatment is to control thrombosis. The processes driving thrombus development and evolution in cerebral aneurysms are still unknown, which makes interventional planning difficult. The development of computer approaches aimed at expediting the interventional planning process for unruptured cerebral aneurysm therapy has received a lot of attention. Computational models of thrombus development after endovascular device installation are included in these strategies. The fundamental issue in constructing computer models for thrombosis in illness instances is that there is a large body of literature that covers various parts of the clotting process, but it isn't always clear what knowledge is relevant to which modelling purpose (e.g., for understanding the effect of endovascular therapies). The goal of this study is to offer the material in such a way that it will be useful to those wanting to model cerebral aneurysm thrombosis for interventional planning purposes in a simple but suitable way. The paper opens by outlining current knowledge of physiological coagulation and highlighting the recognized differences between physiological coagulation and cerebral aneurysm thrombosis. The clinical observations of thrombosis following the implantation of an endovascular device are then presented. The demands placed on computational models designed for interventional planning are then detailed in the following section. Finally, existing thrombosis computational models are described. This final section begins with a description and discussion of physiological computational clotting models, which are extremely useful in learning how to build a general computational clotting model. Then there's a look at computer models of clotting in brain aneurysms in particular. Despite considerable advances toward computational forecasts of thrombosis following device placement in cerebral aneurysms, there are still many gaps. The clinical, experimental, and computational groups will need to work together to answer the key questions.