TY - JOUR
T1 - Multimodality imaging and mathematical modelling of drug delivery to glioblastomas
AU - Boujelben, Ahmed
AU - Watson, Michael
AU - McDougall, Steven
AU - Yen, Yi-Fen
AU - Gerstner, Elizabeth
AU - Catana, Ciprian
AU - Deisboeck, Thomas
AU - Batchelor, Tracy
AU - Boas, David
AU - Rosen, Bruce
AU - Kalpathy-Cramer, Jayashree
AU - Chaplain, Mark Andrew Joseph
N1 - MAJC would like to thank the Isaac Newton Institute for Mathematical Sciences for its hospitality during the programme “Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation” supported by EPSRC Grant Number EP/K032208/1.
PY - 2016/10/6
Y1 - 2016/10/6
N2 - Patients diagnosed with glioblastoma, an aggressive brain tumour, have a poor prognosis, with a median overall survival of less than 15 months. Vasculature within these tumours is typically abnormal, with increased tortuosity, dilation and disorganization and they typically exhibit a disrupted blood brain barrier. Although it has been hypothesized that the “normalization” of the vasculature resulting from anti-angiogenic therapies could improve drug delivery through improved blood flow, there is also evidence that suggests that the restoration of blood brain barrier integrity might limit the delivery of therapeutic agents and hence their effectiveness. In this paper we apply mathematical models of blood flow, vascular permeability and diffusion within the tumour microenvironment to investigate the effect of these competing factors on drug delivery. Preliminary results from the modelling indicate that all three physiological parameters investigated – flow rate, vessel permeability, and tissue diffusion coefficient – interact nonlinearly to produce the observed average drug concentration in the microenvironment.
AB - Patients diagnosed with glioblastoma, an aggressive brain tumour, have a poor prognosis, with a median overall survival of less than 15 months. Vasculature within these tumours is typically abnormal, with increased tortuosity, dilation and disorganization and they typically exhibit a disrupted blood brain barrier. Although it has been hypothesized that the “normalization” of the vasculature resulting from anti-angiogenic therapies could improve drug delivery through improved blood flow, there is also evidence that suggests that the restoration of blood brain barrier integrity might limit the delivery of therapeutic agents and hence their effectiveness. In this paper we apply mathematical models of blood flow, vascular permeability and diffusion within the tumour microenvironment to investigate the effect of these competing factors on drug delivery. Preliminary results from the modelling indicate that all three physiological parameters investigated – flow rate, vessel permeability, and tissue diffusion coefficient – interact nonlinearly to produce the observed average drug concentration in the microenvironment.
KW - Multimodality imaging
KW - Glioblastoma
KW - Drug delivery
KW - Perfusion
KW - Computational modelling and simulation
U2 - 10.1098/rsfs.2016.0039
DO - 10.1098/rsfs.2016.0039
M3 - Article
SN - 2042-8898
VL - 6
JO - Interface Focus
JF - Interface Focus
IS - 5
M1 - 20160039
ER -