TY - JOUR
T1 - ESHO benchmarks for computational modeling and optimization in hyperthermia therapy
AU - Paulides, Margarethus M.
AU - Rodrigues, Dario B.
AU - Bellizzi, Gennaro G.
AU - Sumser, Kemal
AU - Curto, Sergio
AU - Neufeld, Esra
AU - Montanaro, Hazael
AU - Kok, H. Petra
AU - Dobsicek Trefna, Hana
N1 - Funding Information: This work was supported by COST Action MyWave CA17115 ?European network for advancing Electromagnetic hyperthermic medical technologies?, Dutch Cancer Society proejct 11368 and the European Union?s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 845645. Publisher Copyright: © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2021
Y1 - 2021
N2 - 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 https://www.esho.info/). 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.
AB - 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 https://www.esho.info/). 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.
KW - Hyperthermia
KW - computational modeling
KW - microwave
KW - radiofrequency
KW - treatment planning
UR - http://www.scopus.com/inward/record.url?scp=85115999238&partnerID=8YFLogxK
U2 - https://doi.org/10.1080/02656736.2021.1979254
DO - https://doi.org/10.1080/02656736.2021.1979254
M3 - Article
C2 - 34581246
SN - 0265-6736
VL - 38
SP - 1425
EP - 1442
JO - International journal of hyperthermia
JF - International journal of hyperthermia
IS - 1
ER -