Purpose: Thermal dose-effect relations have demonstrated that clinical effectiveness of hyperthermia would benefit from more controlled heating of the tumor. Hyperthermia treatment planning (HTP) is a potent tool to study strategies enabling target conformal heating, but its accuracy is affected by patient modeling approximations. Homogeneous phantoms models are being used that do not match the body shape of patients in treatment position and often have unrealistic target volumes. As a consequence, simulation accuracy is affected, and performance comparisons are difficult. The aim of this study is to provide the first step toward standardization of HTP simulation studies in terms of patient modeling by introducing the Erasmus Virtual Patient Repository (EVPR): a virtual patient model database.Methods: Four patients with a tumor in the head and neck or the pelvis region were selected, and corresponding models were created using a clinical segmentation procedure. Using the Erasmus University Medical Center standard procedure, HTP was applied to these models and compared to HTP for commonly used surrogate models.Results: Although this study was aimed at presenting the EVPR database, our study illustrates that there is a non-negligible difference in the predicted SAR patterns between patient models and homogeneous phantom-based surrogate models. We further demonstrate the difference between actual and simplified target volumes being used today.Conclusion: Our study describes the EVPR for the research community as a first step toward standardization of hyperthermia simulation studies.

, , , ,
doi.org/10.1080/02656736.2020.1772996, hdl.handle.net/1765/127845
International Journal of Hyperthermia
Department of Radiation Oncology

Bellizzi, G.G, Sumser, K. (Kemal), VilasBoas-Ribeiro, I. (Iva), Curto, S. (Sergio), Drizdal, T, van Rhoon, G.C, … Paulides, M.M. (2020). Standardization of patient modeling in hyperthermia simulation studies: introducing the Erasmus Virtual Patient Repository. International Journal of Hyperthermia, 37(1), 608–616. doi:10.1080/02656736.2020.1772996