Richard A Canters1, Irene M Lips2, Markus Wendling3, Martijn Kusters3, Marianne van Zeeland3, Rianne M Gerritsen4, Philip Poortmans3, Cornelia G Verhoef3. 1. Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands. Electronic address: Richard.Canters@radboudumc.nl. 2. Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Radiation Oncology, University Medical Center Utrecht, The Netherlands. 3. Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands. 4. Department of Dermatology, Radboud University Medical Center, Nijmegen, The Netherlands.
Abstract
BACKGROUND AND PURPOSE: Creating an individualized tissue equivalent material build-up (i.e. bolus) for electron beam radiation therapy is complex and highly labour-intensive. We implemented a new clinical workflow in which 3D printing technology is used to create the bolus. MATERIAL AND METHODS: A patient-specific bolus is designed in the treatment planning system (TPS) and a shell around it is created in the TPS. The shell is printed and subsequently filled with silicone rubber to make the bolus. Before clinical implementation we performed a planning study with 11 patients to evaluate the difference in tumour coverage between the designed 3D-print bolus and the clinically delivered plan with manually created bolus. For the first 15 clinical patients a second CT scan with the 3D-print bolus was performed to verify the geometrical accuracy. RESULTS: The planning study showed that the V85% of the CTV was on average 97% (3D-print) vs 88% (conventional). Geometric comparison of the 3D-print bolus to the originally contoured bolus showed a high similarity (DSC=0.89). The dose distributions on the second CT scan with the 3D print bolus in position showed only small differences in comparison to the original planning CT scan. CONCLUSIONS: The implemented workflow is feasible, patient friendly, safe, and results in high quality dose distributions. This new technique increases time efficiency.
BACKGROUND AND PURPOSE: Creating an individualized tissue equivalent material build-up (i.e. bolus) for electron beam radiation therapy is complex and highly labour-intensive. We implemented a new clinical workflow in which 3D printing technology is used to create the bolus. MATERIAL AND METHODS: A patient-specific bolus is designed in the treatment planning system (TPS) and a shell around it is created in the TPS. The shell is printed and subsequently filled with silicone rubber to make the bolus. Before clinical implementation we performed a planning study with 11 patients to evaluate the difference in tumour coverage between the designed 3D-print bolus and the clinically delivered plan with manually created bolus. For the first 15 clinical patients a second CT scan with the 3D-print bolus was performed to verify the geometrical accuracy. RESULTS: The planning study showed that the V85% of the CTV was on average 97% (3D-print) vs 88% (conventional). Geometric comparison of the 3D-print bolus to the originally contoured bolus showed a high similarity (DSC=0.89). The dose distributions on the second CT scan with the 3D print bolus in position showed only small differences in comparison to the original planning CT scan. CONCLUSIONS: The implemented workflow is feasible, patient friendly, safe, and results in high quality dose distributions. This new technique increases time efficiency.
Authors: Brandon S Imber; Suzanne L Wolden; Hilda E Stambuk; Evan Matros; Leonard H Wexler; Alexander S Drew; Evan B Rosen; Ian Ganly; Gil'ad N Cohen; Antonio L Damato Journal: Brachytherapy Date: 2019-02-22 Impact factor: 2.362
Authors: Maksat Haytmyradov; Hassan Mostafavi; Adam Wang; Liangjia Zhu; Murat Surucu; Rakesh Patel; Arun Ganguly; Michelle Richmond; Roberto Cassetta; Matthew M Harkenrider; John C Roeske Journal: Med Phys Date: 2019-06-01 Impact factor: 4.071
Authors: M Mattke; D Rath; M F Häfner; R Unterhinninghofen; F Sterzing; J Debus; F L Giesel Journal: Int J Comput Assist Radiol Surg Date: 2021-05-22 Impact factor: 2.924