Quantitative assessment of hypoxia kinetic models using digital phantoms

TL;DRAbstract

231 Objectives Several kinetic models have been applied to hypoxia tracer uptake curves for assessing tumor oxygenation status and have shown advantages in identifying hypoxic regions compared to static analysis. However, the evaluation of the models with respect to the underlying tumor microenvironment is still difficult. We evaluated different kinetic models using digital phantoms of various tumor microenvironments. Methods 17 digital phantoms (2D, 1x1 mm, pixel: 10x10 μm) of various microvasculature and hypoxia distributions were constructed by simulating the transport and consumption of oxygen, as well as the delivery and the accumulation of 18F-Fmiso tracer using reaction-diffusion equations [1,2]. Kinetic models (Irreversible (Irr.) & reversible (Rev.) two compartment, Thorwarth [3], Patlak, Logan, Cho [4]) were applied to the generated time activity curve (TAC) for each phantom and the correlations (Pearson correlation coefficient) between the kinetic parameters and the underlyi

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