@article {1635504,
	title = {Modelling glioma progression, mass effect and intracranial pressure in patient anatomy},
	journal = {J. R. Soc. Interface},
	volume = {19},
	number = {188},
	year = {2022},
	abstract = {Increased intracranial pressure is the source of most critical symptoms in patients with glioma, and often the main cause of death. Clinical interventions could benefit from non-invasive estimates of the pressure distribution in the patient{\textquoteright}s parenchyma provided by computational models. However, existing glioma models do not simulate the pressure distribution and they rely on a large number of model parameters, which complicates their calibration from available patient data. Here we present a novel model for glioma growth, pressure distribution and corresponding brain deformation. The distinct feature of our approach is that the pressure is directly derived from tumour dynamics and patient-specific anatomy, providing non-invasive insights into the patient{\textquoteright}s state. The model predictions allow estimation of critical conditions such as intracranial hypertension, brain midline shift or neurological and cognitive impairments. A diffuse-domain formalism is employed to allow for efficient numerical implementation of the model in the patient-specific brain anatomy. The model is tested on synthetic and clinical cases. To facilitate clinical deployment, a high-performance computing implementation of the model has been publicly released.},
	url = {https://doi.org/10.1098/rsif.2021.0922},
	author = {Jana Lipkova and Bjoern Menze and Benedikt Wiestler and Koumoutsakos, Petros and John Lowengrub}
}
