Simulation of decompressive craniectomy for ischaemic stroke: a conceptual modelling study

Aina Najwa, Nadzri and Payne, Stephen J. and Mohd Jamil, Mohamed Mokhtarudin and Wan Naimah, Wan Ab Naim and Payne, Stephen J. (2021) Simulation of decompressive craniectomy for ischaemic stroke: a conceptual modelling study. In: 7th IEEE-EMBS Conference on Biomedical Engineering And Sciences (IECBES 2020) , 1 - 3 Mar. 2021 , Langkawi (Online). pp. 1-6.. ISBN 978-1-7281-4246-3

	Pdf 42. Simulation of decompressive craniectomy for ischaemic stroke- a conceptual modelling study.pdf Restricted to Repository staff only Download (820kB) | Request a copy
Preview	Pdf 42.1 Simulation of decompressive craniectomy for ischaemic stroke- a conceptual modelling study.pdf Download (134kB) | Preview

Abstract

Decompressive craniectomy is a treatment in which part of the skull is removed so as to reduce the intracranial pressure in the skull, especially during brain tissue swelling. Computational modelling studies may be used to understand the efficiency of this treatment in ishaemic stroke for advance clinical decision making. Thus, we performed a simulation using a mathematical model based on poroelastic theory and capillary filtration to see the effects of craniectomy in treating brain tissue swelling using 3D brain geometry. The results show that performing craniectomy can reduce intracranial pressure and reduce the effect of herniation. However, part of the brain is bulging out from the surgical hole and exert a small amount of stress on the tissue by the surgical edge. This mathematical modelling framework can be used for further investigation of finding the suitable parameters for a decompressive craniectomy

Item Type:	Conference or Workshop Item (Lecture)
Uncontrolled Keywords:	Decompressive craniectomy; Brain swelling; Poroelastic model; Ischaemic stroke; Capillary filtration
Subjects:	R Medicine > R Medicine (General) R Medicine > RD Surgery
Faculty/Division:	College of Engineering Faculty of Mechanical and Automotive Engineering Technology
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	23 Apr 2021 07:05
Last Modified:	23 Apr 2021 07:05
URI:	http://umpir.ump.edu.my/id/eprint/30933
Download Statistic:	View Download Statistics

Actions (login required)

View Item