Assessment of the thermal tissue models for the head and neck hyperthermia treatment planning.

J Therm Biol

Hyperthermia Unit, Dept. of Radiation Oncology, Erasmus MC Cancer Institute, Dr. Molewaterplein, 3015 GD, Rotterdam, Rotterdam, the Netherlands; Dept. of Electrical Engineering, Eindhoven University of Technology, De Rondom 70, 5612 AP, Eindhoven, the Netherlands.

Published: July 2023

Purpose: To compare different thermal tissue models for head and neck hyperthermia treatment planning, and to assess the results using predicted and measured applied power data from clinical treatments.

Methods: Three commonly used temperature models from literature were analysed: "constant baseline", "constant thermal stress" and "temperature dependent". Power and phase data of 93 treatments of 20 head and neck patients treated with the HYPERcollar3D applicator were used. The impact on predicted median temperature T50 inside the target region was analysed with maximum allowed temperature of 44 °C in healthy tissue. The robustness of predicted T50 for the three models against the influence of blood perfusion, thermal conductivity and the assumed hotspot temperature level was analysed.

Results: We found an average predicted T50 of 41.0 ± 1.3 °C (constant baseline model), 39.9 ± 1.1 °C (constant thermal stress model) and 41.7 ± 1.1 °C (temperature dependent model). The constant thermal stress model resulted in the best agreement between the predicted power (P = 132.7 ± 45.9 W) and the average power measured during the hyperthermia treatments (P = 129.1 ± 83.0 W).

Conclusion: The temperature dependent model predicts an unrealistically high T50. The power values for the constant thermal stress model, after scaling simulated maximum temperatures to 44 °C, matched best to the average measured powers. We consider this model to be the most appropriate for temperature predictions using the HYPERcollar3D applicator, however further studies are necessary for developing of robust temperature model for tissues during heat stress.

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Source
http://dx.doi.org/10.1016/j.jtherbio.2023.103625DOI Listing

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