ArticleScientific reports2020
Decompressive craniectomy of post-traumatic brain injury: an in silico modelling approach for intracranial hypertension management.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A Case of Spontaneous Atraumatic Subdural Hematoma Without Known Precipitating Factors.Cureus · 2024Article
- Why Intracranial Compliance Is Not Utilized as a Common Practical Tool in Clinical Practice.Biomedicines · 2023Review
- Optimized high-definition tDCS in patients with skull defects and skull plates.Frontiers in human neuroscience · 2023Article
- Convection-Enhanced DeliveryFrontiers in bioengineering and biotechnology · 2022Article
- Simulating Expansion of the Intracranial Space to Accommodate Brain Swelling after Decompressive Craniectomy: Volumetric Quantification in a 3D CAD Skull Model with Contour Elevation.Brain sciences · 2021Article
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5 authors.
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Abstract
Traumatic brain injury (TBI) causes brain edema that induces increased intracranial pressure and decreased cerebral perfusion. Decompressive craniectomy has been recommended as a surgical procedure for the management of swollen brain and intracranial hypertension. Proper location and size of a decompressive craniectomy, however, remain controversial and no clinical guidelines are available. Mathematical and computational (in silico) models can predict the optimum geometric conditions and provide insights for the brain mechanical response following a decompressive craniectomy. In this work, we present a finite element model of post-traumatic brain injury and decompressive craniectomy that incorporates a biphasic, nonlinear biomechanical model of the brain. A homogenous pressure is applied in the brain to represent the intracranial pressure loading caused by the tissue swelling and the models calculate the deformations and stresses in the brain as well as the herniated volume of the brain tissue that exits the skull following craniectomy. Simulations for different craniectomy geometries (unilateral, bifrontal and bifrontal with midline bar) and sizes are employed to identify optimal clinical conditions of decompressive craniectomy. The reported results for the herniated volume of the brain tissue as a function of the intracranial pressure loading under a specific geometry and size of craniectomy are exceptionally relevant for decompressive craniectomy planning.
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