TY - JOUR
T1 - Accurate 3D temperature dosimetry during hyperthermia therapy by combining invasive measurements and patient-specific simulations
AU - Verhaart, René
AU - Verduijn, Gerda
AU - Fortunati, Valerio
AU - Rijnen, Zef
AU - van Walsum, Theo
AU - Veenland, J.F.
AU - Paulides, Maarten
PY - 2015
Y1 - 2015
N2 - 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 (Delta T) and the hyperthermia treatment quality (Delta T50) 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 (Delta T) improved significantly using patient-specific tissue properties, i.e. 1.0 degrees C (inter-quartile range (IQR) 0.8 degrees C) compared to 1.3 degrees C (IQR 0.7 degrees 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, Delta T50 significantly improved, i.e. Delta T50 reduced from 0.9 degrees C (IQR 0.8 degrees C) to 0.4 degrees C (IQR 0.5 degrees 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 degrees C.
AB - 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 (Delta T) and the hyperthermia treatment quality (Delta T50) 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 (Delta T) improved significantly using patient-specific tissue properties, i.e. 1.0 degrees C (inter-quartile range (IQR) 0.8 degrees C) compared to 1.3 degrees C (IQR 0.7 degrees 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, Delta T50 significantly improved, i.e. Delta T50 reduced from 0.9 degrees C (IQR 0.8 degrees C) to 0.4 degrees C (IQR 0.5 degrees 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 degrees C.
U2 - 10.3109/02656736.2015.1052855
DO - 10.3109/02656736.2015.1052855
M3 - Article
SN - 0265-6736
VL - 31
SP - 686
EP - 692
JO - International Journal of Hyperthermia
JF - International Journal of Hyperthermia
IS - 6
ER -