Accurate 3D temperature dosimetry during hyperthermia therapy by combining invasive measurements and patient-specific simulations. (18th August 2015)

• Record Type: Journal Article
• Authors: Verhaart, René F.; Verduijn, Gerda M.; Fortunati, Valerio; Rijnen, Zef; van Walsum, Theo; Veenland, Jifke F.; Paulides, Margarethus M.
• Is Part Of: International journal of hyperthermia. Volume 31:Number 6(2015)
• Page Start: 686
• Page End: 692
• Publication Date: 2015-08-18
• Subjects: 3D dosimetry -- mild deep local hyperthermia -- patient-specific -- Pennes' bioheat equation -- thermal tissue property optimisation; Thermotherapy -- Periodicals; 615.832
• DOI: 10.3109/02656736.2015.1052855
• Languages: English
• ISSNs: 0265-6736

Abstract

Abstract: 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.