Computational FEM Model, Phantom and Ex Vivo Swine 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.
Geshel David Guerrero LópezMario Francisco Jesús Cepeda RubioJosé Irving Hernández JácquezArturo Vera HernándezLorenzo Leija SalasFrancisco Valdés PerezgasgaFrancisco Flores GarcíaPublished in: Computational and mathematical methods in medicine (2017)
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.
Keyphrases
- radiofrequency ablation
- papillary thyroid
- minimally invasive
- healthcare
- public health
- squamous cell
- energy transfer
- mental health
- childhood cancer
- catheter ablation
- risk factors
- magnetic resonance imaging
- polycystic ovary syndrome
- electronic health record
- risk assessment
- insulin resistance
- metabolic syndrome
- health information
- robot assisted
- virtual reality
- atrial fibrillation
- young adults
- machine learning
- label free
- contrast enhanced