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Mathematical modeling of mass and energy transport for thermoembolization

BACKGROUND: Thermoembolization presents a unique treatment alternative for patients diagnosed with hepatocellular carcinoma. The approach delivers a reagent that undergoes an exothermic chemical reaction and combines the benefits of embolic as well as thermal- and chemical-ablative therapy modalitie...

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Autores principales: Fuentes, David, Fahrenholtz, Samuel J., Guo, Chunxiao, MacLellan, Christopher J., Layman, Rick R., Rivière, Beatrice, Stafford, R. Jason, Cressman, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558277/
https://www.ncbi.nlm.nih.gov/pubmed/32308071
http://dx.doi.org/10.1080/02656736.2020.1749317
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author Fuentes, David
Fahrenholtz, Samuel J.
Guo, Chunxiao
MacLellan, Christopher J.
Layman, Rick R.
Rivière, Beatrice
Stafford, R. Jason
Cressman, Erik
author_facet Fuentes, David
Fahrenholtz, Samuel J.
Guo, Chunxiao
MacLellan, Christopher J.
Layman, Rick R.
Rivière, Beatrice
Stafford, R. Jason
Cressman, Erik
author_sort Fuentes, David
collection PubMed
description BACKGROUND: Thermoembolization presents a unique treatment alternative for patients diagnosed with hepatocellular carcinoma. The approach delivers a reagent that undergoes an exothermic chemical reaction and combines the benefits of embolic as well as thermal- and chemical-ablative therapy modalities. The target tissue and vascular bed are subjected to simultaneous hyperthermia, ischemia, and chemical denaturation in a single procedure. To guide optimal delivery, we developed a mathematical model for understanding the competing diffusive and convective effects observed in thermoembolization delivery protocols. METHODS: A mixture theory formulation was used to mathematically model thermoembolization as chemically reacting transport of an electrophile, dichloroacetyl chloride (DCACl), within porous living tissue. Mass and energy transport of each relevant constituent are considered. Specifically, DCACl is injected into the vessels and exothermically reacts with water in the blood or tissue to form dichloroacetic acid and hydrochloric acid. Neutralization reactions are assumed instantaneous in this approach. We validated the mathematical model predictions of temperature using MR thermometry of the thermoembolization procedure performed in ex vivo kidney. RESULTS: Mathematical modeling predictions of tissue death were highly dependent on the vascular geometry, injection pressure, and intrinsic amount of exothermic energy released from the chemical species, and were able to recapitulate the temperature distributions observed in MR thermometry. CONCLUSION: These efforts present a first step toward formalizing a mathematical model for thermoembolization and are promising for providing insight for delivery protocol optimization. While our approach captured the observed experimental temperature measurements, larger-scale experimental validation is needed to prioritize additional model complexity and fidelity.
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spelling pubmed-105582772023-10-06 Mathematical modeling of mass and energy transport for thermoembolization Fuentes, David Fahrenholtz, Samuel J. Guo, Chunxiao MacLellan, Christopher J. Layman, Rick R. Rivière, Beatrice Stafford, R. Jason Cressman, Erik Int J Hyperthermia Article BACKGROUND: Thermoembolization presents a unique treatment alternative for patients diagnosed with hepatocellular carcinoma. The approach delivers a reagent that undergoes an exothermic chemical reaction and combines the benefits of embolic as well as thermal- and chemical-ablative therapy modalities. The target tissue and vascular bed are subjected to simultaneous hyperthermia, ischemia, and chemical denaturation in a single procedure. To guide optimal delivery, we developed a mathematical model for understanding the competing diffusive and convective effects observed in thermoembolization delivery protocols. METHODS: A mixture theory formulation was used to mathematically model thermoembolization as chemically reacting transport of an electrophile, dichloroacetyl chloride (DCACl), within porous living tissue. Mass and energy transport of each relevant constituent are considered. Specifically, DCACl is injected into the vessels and exothermically reacts with water in the blood or tissue to form dichloroacetic acid and hydrochloric acid. Neutralization reactions are assumed instantaneous in this approach. We validated the mathematical model predictions of temperature using MR thermometry of the thermoembolization procedure performed in ex vivo kidney. RESULTS: Mathematical modeling predictions of tissue death were highly dependent on the vascular geometry, injection pressure, and intrinsic amount of exothermic energy released from the chemical species, and were able to recapitulate the temperature distributions observed in MR thermometry. CONCLUSION: These efforts present a first step toward formalizing a mathematical model for thermoembolization and are promising for providing insight for delivery protocol optimization. While our approach captured the observed experimental temperature measurements, larger-scale experimental validation is needed to prioritize additional model complexity and fidelity. 2020 /pmc/articles/PMC10558277/ /pubmed/32308071 http://dx.doi.org/10.1080/02656736.2020.1749317 Text en Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=ihyt20 https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Fuentes, David
Fahrenholtz, Samuel J.
Guo, Chunxiao
MacLellan, Christopher J.
Layman, Rick R.
Rivière, Beatrice
Stafford, R. Jason
Cressman, Erik
Mathematical modeling of mass and energy transport for thermoembolization
title Mathematical modeling of mass and energy transport for thermoembolization
title_full Mathematical modeling of mass and energy transport for thermoembolization
title_fullStr Mathematical modeling of mass and energy transport for thermoembolization
title_full_unstemmed Mathematical modeling of mass and energy transport for thermoembolization
title_short Mathematical modeling of mass and energy transport for thermoembolization
title_sort mathematical modeling of mass and energy transport for thermoembolization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558277/
https://www.ncbi.nlm.nih.gov/pubmed/32308071
http://dx.doi.org/10.1080/02656736.2020.1749317
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