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

Tomas Drizdal*, Gerard C. van Rhoon, Ondrej Fiser, David Vrba, Netteke van Holthe, Jan Vrba, Margarethus M. Paulides

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
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Abstract

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.

Original languageEnglish
Article number103625
JournalJournal of Thermal Biology
Volume115
DOIs
Publication statusPublished - Jul 2023

Bibliographical note

Funding Information:
This study was developed within the framework of COST Action MyWAVE CA17115 and was supported by the Czech Science Foundation project number 21-00579S and by the Dutch Cancer Society grant EMCR 11368 .

Publisher Copyright:
© 2023 The Authors

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