Multimodality imaging and mathematical modelling of drug delivery to glioblastomas

Ahmed Boujelben, Michael Watson, Steven McDougall, Yi Fen Yen, Elizabeth R. Gerstner, Ciprian Catana, Thomas Deisboeck, Tracy T. Batchelor, David Boas, Bruce Rosen, Jayashree Kalpathy-Cramer, Mark A J Chaplain

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
JournalInterface Focus
Volume6
Issue number5
DOIs
StatePublished - Oct 6 2016
Externally publishedYes

Fingerprint

Drug Design
Glioblastoma
Drug delivery
Tumors
Imaging techniques
Blood
Pharmaceutical Preparations
Tumor Microenvironment
Capillary Permeability
Brain Neoplasms
Restoration
Dilatation
Permeability
Brain
Theoretical Models
Tissue
Mathematical models
Survival
Therapeutics
Neoplasms

Keywords

  • Computational modelling and simulation
  • Drug delivery
  • Glioblastoma
  • Multimodality imaging
  • Perfusion

ASJC Scopus subject areas

  • Biophysics
  • Biotechnology
  • Biochemistry
  • Bioengineering
  • Biomedical Engineering
  • Biomaterials

Cite this

Boujelben, A., Watson, M., McDougall, S., Yen, Y. F., Gerstner, E. R., Catana, C., ... Chaplain, M. A. J. (2016). Multimodality imaging and mathematical modelling of drug delivery to glioblastomas. Interface Focus, 6(5). https://doi.org/10.1098/rsfs.2016.0039

Multimodality imaging and mathematical modelling of drug delivery to glioblastomas. / Boujelben, Ahmed; Watson, Michael; McDougall, Steven; Yen, Yi Fen; Gerstner, Elizabeth R.; Catana, Ciprian; Deisboeck, Thomas; Batchelor, Tracy T.; Boas, David; Rosen, Bruce; Kalpathy-Cramer, Jayashree; Chaplain, Mark A J.

In: Interface Focus, Vol. 6, No. 5, 06.10.2016.

Research output: Contribution to journalArticle

Boujelben, A, Watson, M, McDougall, S, Yen, YF, Gerstner, ER, Catana, C, Deisboeck, T, Batchelor, TT, Boas, D, Rosen, B, Kalpathy-Cramer, J & Chaplain, MAJ 2016, 'Multimodality imaging and mathematical modelling of drug delivery to glioblastomas', Interface Focus, vol. 6, no. 5. https://doi.org/10.1098/rsfs.2016.0039
Boujelben A, Watson M, McDougall S, Yen YF, Gerstner ER, Catana C et al. Multimodality imaging and mathematical modelling of drug delivery to glioblastomas. Interface Focus. 2016 Oct 6;6(5). https://doi.org/10.1098/rsfs.2016.0039
Boujelben, Ahmed ; Watson, Michael ; McDougall, Steven ; Yen, Yi Fen ; Gerstner, Elizabeth R. ; Catana, Ciprian ; Deisboeck, Thomas ; Batchelor, Tracy T. ; Boas, David ; Rosen, Bruce ; Kalpathy-Cramer, Jayashree ; Chaplain, Mark A J. / Multimodality imaging and mathematical modelling of drug delivery to glioblastomas. In: Interface Focus. 2016 ; Vol. 6, No. 5.
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