Comparisons of computer simulations and experimental data for capacitive hyperthermia using different split-phantoms.

Capacitive hyperthermia Sim4Life non-thermal effects phantom measurements simulation treatment planning

Journal

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group
ISSN: 1464-5157
Titre abrégé: Int J Hyperthermia
Pays: England
ID NLM: 8508395

Informations de publication

Date de publication:
2024
Historique:
medline: 21 10 2024
pubmed: 21 10 2024
entrez: 20 10 2024
Statut: ppublish

Résumé

Several positive clinical trials have demonstrated that capacitive hyperthermia (CHT) improves the effectiveness of radiation therapy for the treatment of various cancer entities. However, the ability of CHT to induce significant heating throughout the body is under debate. To perform a pilot study involving comparisons of computer simulations and experimental data using different split-phantoms to validate hyperthermia treatment modeling for pre-planning for a clinical CHT system and to investigate the feasibility of split-phantom measurements in capacitive hyperthermia. The CHT system EHY-2030 (Oncotherm, Budapest, Hungary) was used. The system provides two electrode sizes, but only the smaller electrode, indicated as D200 electrode, was investigated in this pilot study. Horizontally and vertically splittable, different multi-slice phantoms with dielectric material properties simulating muscle and electrically low conductive fat were produced and heated. During the heating procedure, temperature-time curves were measured, and thermal images were captured. Specific absorption rate values were derived from the temperature rise (TR) values. Concomitantly, computer field simulations utilizing a detailed CAD-based model of the CHT system were performed using the simulation platform Sim4Life and compared with measurements. For the investigated electrode D200 the system power of 75 W was applied, which is half of the maximum power of 150 W and lies in the range of usual values for this electrode applied in patient treatments in our clinic. For 75 W, a heating of 3.6 °C in 6 min in a depth of 1 cm in an agar-based, muscle tissue-equivalent phantom was achieved. The addition of a 1 cm thick, synthetic, low dielectric fat layer reduced the TR up until a depth of 8.5 cm by on average around 38% (from 8.5 cm onwards the absolute local TR is similar, deviations are ≤0.1 °C). In terms of point-to-point absolute SAR comparison (without any normalization), up to a depth of 11 cm in the phantoms central vertical plot, the simulation differs from the measured TR points by on average 25% (ranging from 7% to 36%) for the homogeneous phantom and by on average 43% (ranging from 26% to 60%) for the inhomogeneous phantom. Computer simulations and experimental data were compared for the CHT system EHY-2030 using the D200 electrode, applying a thermal imaging technique for different vertically splittable phantoms. This pilot study data can be used as a guidance regarding the expected heating for this commonly used electrode size but also to further elucidate the significance of non-thermal anticancer effects. Further studies are needed for different sizes and geometries of electrodes and phantoms.

Identifiants

pubmed: 39428108
doi: 10.1080/02656736.2024.2416999
doi:

Types de publication

Journal Article Comparative Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

2416999

Auteurs

Rami Muratoglu (R)

Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Berlin, Germany.

Dominik Gerster (D)

Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Berlin, Germany.

Jacek Nadobny (J)

Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Berlin, Germany.

Alexander Hansch (A)

Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Berlin, Germany.

Paul Krahl (P)

Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Berlin, Germany.

Paraskevi Danai Veltsista (PD)

Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Berlin, Germany.

Marcus Beck (M)

Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Berlin, Germany.

Daniel Zips (D)

Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Berlin, Germany.

Pirus Ghadjar (P)

Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Berlin, Germany.

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Classifications MeSH