2011
DOI: 10.1093/imammb/dqr002
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Applying a patient-specific bio-mathematical model of glioma growth to develop virtual [18F]-FMISO-PET images

Abstract: Glioblastoma multiforme (GBM) is a class of primary brain tumours characterized by their ability to rapidly proliferate and diffusely infiltrate surrounding brain tissue. The aggressive growth of GBM leads to the development of regions of low oxygenation (hypoxia), which can be clinically assessed through [18F]-fluoromisonidazole (FMISO) positron emission tomography (PET) imaging. Building upon the success of our previous mathematical modelling efforts, we have expanded our model to include the tumour microenv… Show more

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Cited by 49 publications
(55 citation statements)
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“…Applying mathematical model for virtual growth of brain tumor cell is the latest development (see [22]) in this area.…”
Section: Discussionmentioning
confidence: 99%
“…Applying mathematical model for virtual growth of brain tumor cell is the latest development (see [22]) in this area.…”
Section: Discussionmentioning
confidence: 99%
“…We do not expect that this approach is suitable for all patients; patient selection is essential and treatment should be adapted for every patient. Patients with non-hypoxic tumours have generally a better prognosis [34][35][36][37][38] and probably do not need an aggressive treatment as presented. Based on pretreatment hypoxia and FDG PET/CT scans it can be decided to boost hypoxic or FDG subvolumes, or a combination.…”
Section: Discussionmentioning
confidence: 91%
“…In the first 45-60 seconds after injection of the contrast agent, i.e. first pass, the majority of the contrast agent is intravascular [38]. This phase can be used to assess the perfusion of the tumour, i.e.…”
Section: Dynamic Contrast-enhanced Ctmentioning
confidence: 99%
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