期刊
INTERFACE FOCUS
卷 6, 期 5, 页码 -出版社
ROYAL SOC
DOI: 10.1098/rsfs.2016.0039
关键词
multimodality imaging; glioblastoma; drug delivery; perfusion; computational modelling and simulation
类别
资金
- EPSRC [EP/N014642/1, EP/K032208/1]
- NIH/NCI [U01CA154601, K23CA169021, R01-R01CA129371-01]
- NIH/NIBIB [R01EB014894]
- Engineering and Physical Sciences Research Council [EP/K032208/1, EP/N014642/1] Funding Source: researchfish
- EPSRC [EP/N014642/1, EP/K032208/1] Funding Source: UKRI
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 (BBB). 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 BBB 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.
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