Literature DB >> 17068369

A model to simulate tumour oxygenation and dynamic [18F]-Fmiso PET data.

Catherine J Kelly1, Michael Brady.   

Abstract

The microenvironment of a tumour, in particular its hypoxic status, is a crucial factor in its response to radiotherapy. Conventional techniques for measuring hypoxia are either invasive or follow surgical intervention, and thus not ideal. Positron emission tomography allows the non-invasive pre-surgical assessment of oxygen status by measuring the spatiotemporal distribution of hypoxia-specific tracers. However, the relationship between levels of uptake and the underlying oxygen tension are yet to be elucidated. Furthermore, it is not fully understood how changes in the underlying physiology affect the appearance of uptake. This paper presents a modular simulation of the tumour microenvironment, underpinned by a probability density function (PDF) to model the vasculature. The model is solved numerically, to simulate both the steady-state oxygenation of a tumour and the spatiotemporal distribution of the hypoxia-specific tracer, [18F]-fluoromisonidazole (Fmiso), in a 2D environment. The results show that using a PDF to represent the vasculature effectively captures the 'hypoxic island' appearance of oxygen-deficient tissues seen ex vivo. Simulated tissue activity curves (TACs) demonstrate the general two-stage trend of empirical data, with an initial perfusion-dominated uptake, followed by hypoxia-specific binding. In well-perfused tissue, activity follows plasma levels in early stages, with binding of Fmiso only becoming apparent at a later stage. In structurally hypoxic tissue, a more gradual initial increase in activity is observed, followed by the same accumulation slope. We demonstrate the utility of theoretical modelling of tracer uptake, by quantifying the changes in TAC structure that arise as a result of altering key physiological characteristics. For example, by decreasing either the proximity of tissue to the vasculature, or the effective diffusion coefficient of Fmiso, we can observe a shift of TAC structure from corresponding to well-perfused to avascular regions, despite wholly different underlying causes.

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Year:  2006        PMID: 17068369     DOI: 10.1088/0031-9155/51/22/009

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  20 in total

1.  Quantification of Tumor Hypoxic Fractions Using Positron Emission Tomography with [18F]Fluoromisonidazole ([18F]FMISO) Kinetic Analysis and Invasive Oxygen Measurements.

Authors:  Olivia J Kelada; Sara Rockwell; Ming-Qiang Zheng; Yiyun Huang; Yanfeng Liu; Carmen J Booth; Roy H Decker; Uwe Oelfke; Richard E Carson; David J Carlson
Journal:  Mol Imaging Biol       Date:  2017-12       Impact factor: 3.488

2.  Is PET always an advantage versus planar and SPECT imaging?

Authors:  Giuliano Mariani; Laura Bruselli; Adriano Duatti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-08       Impact factor: 9.236

Review 3.  Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future.

Authors:  Giampaolo Tomasi; Federico Turkheimer; Eric Aboagye
Journal:  Mol Imaging Biol       Date:  2012-04       Impact factor: 3.488

4.  Computational modelling of anti-angiogenic therapies based on multiparametric molecular imaging data.

Authors:  Benjamin Titz; Kevin R Kozak; Robert Jeraj
Journal:  Phys Med Biol       Date:  2012-09-13       Impact factor: 3.609

Review 5.  Kinetic modeling in PET imaging of hypoxia.

Authors:  Fan Li; Jesper T Joergensen; Anders E Hansen; Andreas Kjaer
Journal:  Am J Nucl Med Mol Imaging       Date:  2014-09-06

6.  Parametric mapping of [18F]fluoromisonidazole positron emission tomography using basis functions.

Authors:  Young T Hong; John S Beech; Rob Smith; Jean-Claude Baron; Tim D Fryer
Journal:  J Cereb Blood Flow Metab       Date:  2010-08-25       Impact factor: 6.200

7.  Image-guided PO2 probe measurements correlated with parametric images derived from 18F-fluoromisonidazole small-animal PET data in rats.

Authors:  Rachel M Bartlett; Bradley J Beattie; Manoj Naryanan; Jens-Christoph Georgi; Qing Chen; Sean D Carlin; Gordon Roble; Pat B Zanzonico; Mithat Gonen; Joseph O'Donoghue; Alexander Fischer; John L Humm
Journal:  J Nucl Med       Date:  2012-08-29       Impact factor: 10.057

8.  High Single Doses of Radiation May Induce Elevated Levels of Hypoxia in Early-Stage Non-Small Cell Lung Cancer Tumors.

Authors:  Olivia J Kelada; Roy H Decker; Sameer K Nath; Kimberly L Johung; Ming-Qiang Zheng; Yiyun Huang; Jean-Dominique Gallezot; Chi Liu; Richard E Carson; Uwe Oelfke; David J Carlson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-06-01       Impact factor: 7.038

9.  Modelling and detecting tumour oxygenation levels.

Authors:  Anne C Skeldon; Gary Chaffey; David J B Lloyd; Vineet Mohan; David A Bradley; Andrew Nisbet
Journal:  PLoS One       Date:  2012-06-28       Impact factor: 3.240

Review 10.  Modelling tumour oxygenation, reoxygenation and implications on treatment outcome.

Authors:  Iuliana Toma-Dasu; Alexandru Dasu
Journal:  Comput Math Methods Med       Date:  2013-01-14       Impact factor: 2.238

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