Szczegóły publikacji

Opis bibliograficzny

In silico study on tumor-size-dependent thermal profiles inside an anthropomorphic female breast phantom subjected to multi-dipole antenna array / Piotr GAS, Arkadiusz Miaskowski, Mahendran Subramanian // International Journal of Molecular Sciences [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1422-0067. — 2020 — vol. 21 iss. 22 art. no. 8597, s. 1–24. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 21–24, Abstr. — Publikacja dostępna online od: 2020-11-14

Autorzy (3)

Słowa kluczowe

multi-objective optimizationdipole antenna arrayregional deep hyperthermia planningFDTD methodspecific absorption ratebreast cancernumerical modelling

Dane bibliometryczne

ID BaDAP131056
Data dodania do BaDAP2020-11-16
Tekst źródłowyURL
DOI10.3390/ijms21228597
Rok publikacji2020
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaInternational Journal of Molecular Sciences

Abstract

Electromagnetic hyperthermia as a potent adjuvant for conventional cancer therapies can be considered valuable in modern oncology, as its task is to thermally destroy cancer cells exposed to high-frequency electromagnetic fields. Hyperthermia treatment planning based on computer in silico simulations has the potential to improve the localized heating of breast tissues through the use of the phased-array dipole applicators. Herein, we intended to improve our understanding of temperature estimation in an anatomically accurate female breast phantom embedded with a tumor, particularly when it is exposed to an eight-element dipole antenna matrix surrounding the breast tissues. The Maxwell equations coupled with the modified Pennes’ bioheat equation was solved in the modelled breast tissues using the finite-difference time-domain (FDTD) engine. The microwave (MW) applicators around the object were modelled with shortened half-wavelength dipole antennas operating at the same 1 GHz frequency, but with different input power and phases for the dipole sources. The total input power of an eight-dipole antenna matrix was set at 8 W so that the temperature in the breast tumor did not exceed 42 °C. Finding the optimal setting for each dipole antenna from the matrix was our primary objective. Such a procedure should form the basis of any successful hyperthermia treatment planning. We applied the algorithm of multi for multi-objective optimization for the power and phases for the dipole sources in terms of maximizing the specific absorption rate (SAR) parameter inside the breast tumor while minimizing this parameter in the healthy tissues. Electro-thermal simulations were performed for tumors of different radii to confirm the reliable operation of the given optimization procedure. In the next step, thermal profiles for tumors of various sizes were calculated for the optimal parameters of dipole sources. The computed results showed that larger tumors heated better than smaller tumors; however, the procedure worked well regardless of the tumor size. This verifies the effectiveness of the applied optimization method, regardless of the various stages of breast tumor development.

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