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Computational modeling of PET tracer distribution in solid tumors integrating microvasculature

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 fluo...

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Autores principales: Fasaeiyan, Niloofar, Soltani, M., Moradi Kashkooli, Farshad, Taatizadeh, Erfan, Rahmim, Arman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620574/
https://www.ncbi.nlm.nih.gov/pubmed/34823506
http://dx.doi.org/10.1186/s12896-021-00725-3
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author Fasaeiyan, Niloofar
Soltani, M.
Moradi Kashkooli, Farshad
Taatizadeh, Erfan
Rahmim, Arman
author_facet Fasaeiyan, Niloofar
Soltani, M.
Moradi Kashkooli, Farshad
Taatizadeh, Erfan
Rahmim, Arman
author_sort Fasaeiyan, Niloofar
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12896-021-00725-3.
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spelling pubmed-86205742021-11-29 Computational modeling of PET tracer distribution in solid tumors integrating microvasculature Fasaeiyan, Niloofar Soltani, M. Moradi Kashkooli, Farshad Taatizadeh, Erfan Rahmim, Arman BMC Biotechnol Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12896-021-00725-3. BioMed Central 2021-11-25 /pmc/articles/PMC8620574/ /pubmed/34823506 http://dx.doi.org/10.1186/s12896-021-00725-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fasaeiyan, Niloofar
Soltani, M.
Moradi Kashkooli, Farshad
Taatizadeh, Erfan
Rahmim, Arman
Computational modeling of PET tracer distribution in solid tumors integrating microvasculature
title Computational modeling of PET tracer distribution in solid tumors integrating microvasculature
title_full Computational modeling of PET tracer distribution in solid tumors integrating microvasculature
title_fullStr Computational modeling of PET tracer distribution in solid tumors integrating microvasculature
title_full_unstemmed Computational modeling of PET tracer distribution in solid tumors integrating microvasculature
title_short Computational modeling of PET tracer distribution in solid tumors integrating microvasculature
title_sort computational modeling of pet tracer distribution in solid tumors integrating microvasculature
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620574/
https://www.ncbi.nlm.nih.gov/pubmed/34823506
http://dx.doi.org/10.1186/s12896-021-00725-3
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