Modelling and simulation of [18F]fluoromisonidazole dynamics based on histology-derived microvessel maps
- 8 March 2011
- journal article
- Published by IOP Publishing in Physics in Medicine & Biology
- Vol. 56 (7), 2045-2057
- https://doi.org/10.1088/0031-9155/56/7/009
Abstract
Hypoxia can be assessed non-invasively by positron emission tomography (PET) using radiotracers such as [(18)F]fluoromisonidazole (Fmiso) accumulating in poorly oxygenated cells. Typical features of dynamic Fmiso PET data are high signal variability in the first hour after tracer administration and slow formation of a consistent contrast. The purpose of this study is to investigate whether these characteristics can be explained by the current conception of the underlying microscopic processes and to identify fundamental effects. This is achieved by modelling and simulating tissue oxygenation and tracer dynamics on the microscopic scale. In simulations, vessel structures on histology-derived maps act as sources and sinks for oxygen as well as tracer molecules. Molecular distributions in the extravascular space are determined by reaction-diffusion equations, which are solved numerically using a two-dimensional finite element method. Simulated Fmiso time activity curves (TACs), though not directly comparable to PET TACs, reproduce major characteristics of clinical curves, indicating that the microscopic model and the parameter values are adequate. Evidence for dependence of the early PET signal on the vascular fraction is found. Further, possible effects leading to late contrast formation and potential implications on the quantification of Fmiso PET data are discussed.This publication has 41 references indexed in Scilit:
- Simulation of tissue activity curves of64Cu-ATSM for sub-target volume delineation in radiotherapyPhysics in Medicine & Biology, 2010
- Can hypoxia-PET map hypoxic cell density heterogeneity accurately in an animal tumor model at a clinically obtainable image contrast?Radiotherapy and Oncology, 2009
- On the sensitivity of IMRT dose optimization to the mathematical form of a biological imaging-based prescription functionPhysics in Medicine & Biology, 2009
- Theragnostic imaging for radiation oncology: dose-painting by numbersThe Lancet Oncology, 2005
- Theoretical simulation of tumour oxygenation and results from acute and chronic hypoxiaPhysics in Medicine & Biology, 2003
- On biologically conformal boost dose optimizationPhysics in Medicine & Biology, 2003
- A novel approach to overcome hypoxic tumor resistance: Cu-ATSM-guided intensity-modulated radiation therapyInternational Journal of Radiation Oncology*Biology*Physics, 2001
- Changes in Blood Perfusion and Hypoxia after Irradiation of a Human Squamous Cell Carcinoma Xenograft Tumor LineRadiation Research, 2000
- A modeling approach for quantifying tumor hypoxia with [F‐18]fluoromisonidazole PET time‐activity dataMedical Physics, 1995
- A comparison of tumor and normal tissue microvascular hematocrits and red cell fluxes in a rat window chamber modelInternational Journal of Radiation Oncology*Biology*Physics, 1993