4.5 Article

Computational modeling of PET tracer distribution in solid tumors integrating microvasculature

Journal

BMC BIOTECHNOLOGY
Volume 21, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12896-021-00725-3

Keywords

Solid tumor; Positron Emission Tomography (PET); Microvascular network; FDG radiotracer; Convection-Diffusion-Reaction modeling

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The computational modeling of positron emission tomography radiotracer uptake with consideration of blood flow and interstitial fluid flow, conducted in this study, revealed that interstitial pressure is highest in the tumor region, while interstitial fluid velocity is extremely low. This results in a concentration of radiotracer in the tumor region being an order of magnitude higher than in surrounding normal tissues. The study also showed different trends in free tracer and metabolized radiotracer concentrations over time, regardless of tissue type.
Background We present computational modeling of positron emission tomography radiotracer uptake with consideration of blood flow and interstitial fluid flow, performing spatiotemporally-coupled modeling of uptake and integrating the microvasculature. In our mathematical modeling, the uptake of fluorodeoxyglucose F-18 (FDG) was simulated based on the Convection-Diffusion-Reaction equation given its high accuracy and reliability in modeling of transport phenomena. In the proposed model, blood flow and interstitial flow are solved simultaneously to calculate interstitial pressure and velocity distribution inside cancer and normal tissues. As a result, the spatiotemporal distribution of the FDG tracer is calculated based on velocity and pressure distributions in both kinds of tissues. Results Interstitial pressure has maximum value in the tumor region compared to surrounding tissue. In addition, interstitial fluid velocity is extremely low in the entire computational domain indicating that convection can be neglected without effecting results noticeably. Furthermore, our results illustrate that the total concentration of FDG in the tumor region is an order of magnitude larger than in surrounding normal tissue, due to lack of functional lymphatic drainage system and also highly-permeable microvessels in tumors. The magnitude of the free tracer and metabolized (phosphorylated) radiotracer concentrations followed very different trends over the entire time period, regardless of tissue type (tumor vs. normal). Conclusion Our spatiotemporally-coupled modeling provides helpful tools towards improved understanding and quantification of in vivo preclinical and clinical studies.

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