Accurate 3D temperature dosimetry during hyperthermia therapy by combining invasive measurements and patient-specific simulations
Purpose: Dosimetry during deep local hyperthermia treatments in the head and neck currently relies on a limited number of invasively placed temperature sensors. The purpose of this study was to assess the feasibility of 3D dosimetry based on patient-specific temperature simulations and sensory feedback. Materials and methods: The study includes 10 patients with invasive thermometry applied in at least two treatments. Based on their invasive thermometry, we optimised patient-group thermal conductivity and perfusion values for muscle, fat and tumour using a leave-one-out approach. Next, we compared the accuracy of the predicted temperature (ΔT) and the hyperthermia treatment quality (ΔT50) of the optimisations based on the patient-group properties to those based on patient-specific properties, which were optimised using previous treatment measurements. As a robustness check, and to enable comparisons with previous studies, we optimised the parameters not only for an applicator efficiency factor of 40%, but also for 100% efficiency. Results: The accuracy of the predicted temperature (ΔT) improved significantly using patient-specific tissue properties, i.e. 1.0 °C (inter-quartile range (IQR) 0.8 °C) compared to 1.3 °C (IQR 0.7 °C) for patient-group averaged tissue properties for 100% applicator efficiency. A similar accuracy was found for optimisations using an applicator efficiency factor of 40%, indicating the robustness of the optimisation method. Moreover, in eight patients with repeated measurements in the target region, ΔT50 significantly improved, i.e. ΔT50 reduced from 0.9 °C (IQR 0.8 °C) to 0.4 °C (IQR 0.5 °C) using an applicator efficiency factor of 40%. Conclusion: This study shows that patient-specific temperature simulations combined with tissue property reconstruction from sensory data provides accurate minimally invasive 3D dosimetry during hyperthermia treatments: T50 in sessions without invasive measurements can be predicted with a median accuracy of 0.4 °C.
|Keywords||3D dosimetry, mild deep local hyperthermia, patient-specific, Pennes' bioheat equation, thermal tissue property optimisation|
|Persistent URL||dx.doi.org/10.3109/02656736.2015.1052855, hdl.handle.net/1765/90092|
|Journal||International Journal of Hyperthermia|
Verhaart, R.F, Verduijn, G.M, Fortunati, V, Rijnen, Z, van Walsum, T.W, Veenland, J.F, & Paulides, M.M. (2015). Accurate 3D temperature dosimetry during hyperthermia therapy by combining invasive measurements and patient-specific simulations. International Journal of Hyperthermia, 31(6), 686–692. doi:10.3109/02656736.2015.1052855