ESHO benchmarks for computational modeling and optimization in hyperthermia therapy
Journal article, 2021

Background: The success of cancer hyperthermia (HT) treatments is strongly dependent on the temperatures achieved in the tumor and healthy tissues as it correlates with treatment efficacy and safety, respectively. Hyperthermia treatment planning (HTP) simulations have become pivotal for treatment optimization due to the possibility for pretreatment planning, optimization and decision making, as well as real-time treatment guidance. Materials and methods: The same computational methods deployed in HTP are also used for in silico studies. These are of great relevance for the development of new HT devices and treatment approaches. To aid this work, 3 D patient models have been recently developed and made available for the HT community. Unfortunately, there is no consensus regarding tissue properties, simulation settings, and benchmark applicators, which significantly influence the clinical relevance of computational outcomes. Results and discussion: Herein, we propose a comprehensive set of applicator benchmarks, efficacy and safety optimization algorithms, simulation settings and clinical parameters, to establish benchmarks for method comparison and code verification, to provide guidance, and in view of the 2021 ESHO Grand Challenge (Details on the ESHO grand challenge on HTP will be provided at Conclusion: We aim to establish guidelines to promote standardization within the hyperthermia community such that novel approaches can quickly prove their benefit as quickly as possible in clinically relevant simulation scenarios. This paper is primarily focused on radiofrequency and microwave hyperthermia but, since 3 D simulation studies on heating with ultrasound are now a reality, guidance as well as a benchmark for ultrasound-based hyperthermia are also included.




treatment planning

computational modeling


M. M. Paulides

Erasmus MC Cancer Institute

Eindhoven University of Technology

Dario B. Rodrigues

University of Maryland

Gennaro G. Bellizzi

Erasmus MC Cancer Institute

Kemal Sumser

Erasmus MC Cancer Institute

S. Curto

Erasmus MC Cancer Institute

Esra Neufeld

Foundation for Research on Information Technologies in Society (ITIS)

Hazael Montanaro

Swiss Federal Laboratories for Materials Science and Technology (Empa)

Foundation for Research on Information Technologies in Society (ITIS)

H. P. Kok

University of Amsterdam

Hana Dobsicek Trefna

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Biomedical Electromagnetics

International Journal of Hyperthermia

0265-6736 (ISSN) 1464-5157 (eISSN)

Vol. 38 1 1425-1442

Subject Categories

Medical Laboratory and Measurements Technologies

Medical Equipment Engineering

Radiology, Nuclear Medicine and Medical Imaging



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