Literature DB >> 34848032

Computer optimization of conductive gels for electrochemotherapy.

Lucas Bertinetti Lopes1, Guilherme Brasil Pintarelli2, Carla Sales Ferreira Dos Santos3, Daniela Ota Hisayasu Suzuki2.   

Abstract

Electrochemotherapy (ECT) requires covering the entire tumor and safe margins with a suitable pulsed electric field (PEF). The PEF distribution depends on the biological and electrical parameters. The biological tissue may have diffractive geometry with non-linear conductivity behavior due to electroporation. That characteristic may provoke ECT-insufficient electric field regions, also known as blind spots. The conductive gels can fill holes and bumps, being a tool to homogenize the electric field. We executed an in vitro vegetal tissue experiment to validate a numerical model under different gels conditions. We used a study case in silico experiment to investigate gel influence on PEF distribution and electrical current. We propose a case-oriented methodology to optimize the gel during the ECT pre-treatment. Results show that the optimized gel completely treats a region of interest while avoiding unnecessary current increase and damage to healthy tissue by over treatment. The optimized gel conductivity may be lower than the previously reported (0.5 to 1 S/m) and may be in the range of the commercially available gels. For a veterinary mastocytoma exophytic nodule ECT case study, using needles electrode, the 0.2 S/m gel is the optimum gel.
Copyright © 2021 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Electric field distribution; Electroporation; Pulsed electric fields; Treatment effectiveness; Tumor

Mesh:

Substances:

Year:  2021        PMID: 34848032     DOI: 10.1016/j.medengphy.2021.10.011

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  1 in total

1.  Dielectric Dispersion Modulated Sensing of Yeast Suspension Electroporation.

Authors:  Guilherme B Pintarelli; Jessica R da Silva; Wuqiang Yang; Daniela O H Suzuki
Journal:  Sensors (Basel)       Date:  2022-02-25       Impact factor: 3.576

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.