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Fundamental mathematical model shows that applied electrical field enhances chemotherapy delivery to tumors.
Moarefian, Maryam; Pascal, Jennifer A.
Afiliación
  • Moarefian M; Department of Chemical Engineering, Tennessee Technological University Cookeville, TN 38505 USA.
  • Pascal JA; Department of Chemical Engineering, Tennessee Technological University Cookeville, TN 38505 USA. Electronic address: jpascal@tntech.edu.
Math Biosci ; 272: 1-5, 2016 Feb.
Article en En | MEDLINE | ID: mdl-26656676
Biobarriers imposed by the tumor microenvironment create a challenge to deliver chemotherapeutics effectively. Electric fields can be used to overcome these biobarriers in the form of electrochemotherapy, or by applying an electric field to tissue after chemotherapy has been delivered systemically. A fundamental understanding of the underlying physical phenomena governing tumor response to an applied electrical field is lacking. Building upon the work of Pascal et al. [1], a mathematical model that predicts the fraction of tumor killed due to a direct current (DC) applied electrical field and chemotherapy is developed here for tumor tissue surrounding a single, straight, cylindrical blood vessel. Results show the typical values of various parameters related to properties of the electrical field, tumor tissue and chemotherapy drug that have the most significant influence on the fraction of tumor killed. We show that the applied electrical field enhances tumor death due to chemotherapy and that the direction and magnitude of the applied electrical field have a significant impact on the fraction of tumor killed.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Electroquimioterapia / Modelos Teóricos / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Math Biosci Año: 2016 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Electroquimioterapia / Modelos Teóricos / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Math Biosci Año: 2016 Tipo del documento: Article