Computational FEM Model,PhantomandEx VivoSwine Breast Validation of an Optimized Double-Slot Microcoaxial Antenna Designed for Minimally Invasive Breast Tumor Ablation: Theoretical and Experimental Comparison of Temperature, Size of Lesion, and SWR, Preliminary Data

Author:

Guerrero López Geshel David1,Cepeda Rubio Mario Francisco Jesús1,Hernández Jácquez José Irving1ORCID,Vera Hernandez Arturo2ORCID,Leija Salas Lorenzo2,Valdés Perezgasga Francisco1,Flores García Francisco1

Affiliation:

1. División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México, Instituto Tecnológico de la Laguna, Blvd. Revolución, Esq. Calzad. Instituto Tecnológico de la Laguna, Zona Centro, 27000 Torreón, COAH, Mexico

2. Sección de Bioelectrónica, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, Mexico

Abstract

Malignant neoplasms are one of the principal world health concerns and breast cancer is the most common type of cancer in women. Advances in cancer detection technologies allow treating it in early stages; however, it is necessary to develop treatments which carry fewer complications and aesthetic repercussions. This work presents a feasibility study for the use of microwave ablation as a novel technique for breast cancer treatment. A microwave applicator design is also being proposed for this purpose. The coupling of the designed antenna was predicted with computer simulation. The standing wave ratio obtained through simulation was 1.87 and the result of experimental validation was 1.04. The optimized antenna has an optimal coupling (SWR = 1.04) so ablation temperatures can be achieved in a relatively short time using low power. Varying the time and power, the heating pattern can be changed to treat different tumors. However, as some discrepancies are still present, a deeper study of the dielectric properties and their variation with temperature is required.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine

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