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Enhancing Electric Field Distribution in the Pancreas for Improved TTFields Therapy: A Computational Modeling Investigation.
IEEE Trans Biomed Eng ; 71(9): 2612-2619, 2024 Sep.
Article en En | MEDLINE | ID: mdl-38564342
ABSTRACT

BACKGROUND:

Tumor treating fields (TTFields) therapy has shown effectiveness in glioblastoma treatment and holds potential for other cancers. However, its application in pancreatic cancer and the distribution of electric fields in pancreas remain unexplored. This study aims to investigate the electric field distributions in pancreatic regions using different array configurations for TTFields therapy.

METHODS:

Computational modelling was employed to simulate electric field distributions, and quantitative analysis was conducted. Human body impedance measurements were used to optimize the electric properties of the model. Various array configurations were examined to assess their impact on the electric field distributions.

RESULTS:

The study revealed that well-positioned arrays, specifically the combination of 20-piece transducer arrays in anterior-posterior orientation and 13-piece transducer arrays in left-right orientation, consistently achieved electric fields exceeding the 1V/cm threshold in over 99.4% of the pancreas. Even with a reduced number of transducers (13 pieces for both orientations), sufficient electric field coverage was achieved, exceeding the threshold in over 92.9% of the pancreas. Additionally, different array placements within the same orientation were explored to address clinical challenges such as skin rash and patient anatomical variations.

CONCLUSIONS:

This research lays the groundwork for understanding TTFields distribution within the abdomen, offering insights into optimizing array configurations for improved electric field delivery. These results offer promises of advancing TTFields therapy for pancreatic cancer towards clinical applications, and potentially enhancing treatment efficacy and patient outcomes.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Páncreas / Neoplasias Pancreáticas / Simulación por Computador / Terapia por Estimulación Eléctrica Límite: Humans Idioma: En Revista: IEEE Trans Biomed Eng Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Páncreas / Neoplasias Pancreáticas / Simulación por Computador / Terapia por Estimulación Eléctrica Límite: Humans Idioma: En Revista: IEEE Trans Biomed Eng Año: 2024 Tipo del documento: Article