Dosimetrische Verifikation von MammoSite-Bestrahlungsplänen mit Monte-Carlo-Simulationen sowie Messungen mit einem 2D-Ionisationskammer-Array
Autor: | Holger Sommer, Horst Hermani, Moritz Budde, Irenäus A. Adamietz |
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Rok vydání: | 2018 |
Předmět: |
Materials science
Radiological and Ultrasound Technology business.industry medicine.medical_treatment Radioactive source Monte Carlo method Brachytherapy Biophysics Postoperative irradiation Dose distribution Balloon 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis medicine Dosimetry Radiology Nuclear Medicine and imaging Radiation treatment planning Nuclear medicine business |
Zdroj: | Zeitschrift für Medizinische Physik. 28:158-163 |
ISSN: | 0939-3889 |
DOI: | 10.1016/j.zemedi.2017.09.005 |
Popis: | The surgical removal of a breast tumour is often followed by postoperative irradiation of the surrounding tissue with a radioactive source (brachytherapy). When performing the MammoSite procedure, a spherical silicone balloon is inserted and filled with a NaCl solution. In a period of about five days in several sessions an iridium-192 source with high activity travels through a catheter into the balloon (afterloading) to irradiate the tumour cells remaining in the cavity. In this study, dose distributions of a MammoSite applicator are investigated based on measurements with a 2D detector array, Monte Carlo simulations and calculations with BrachyVision. The focus is set on the 2D detector array and its possible application in the verification process in 3D brachytherapy treatment planning. The measured dose distributions conform well to the doses of BrachyVision with deviations of less than 5% within the clinically relevant field range. The deviations of the measured and calculated distributions from the simulation results are below 3%. The 2D detector array allows a new verification method for MammoSite treatment plans with sufficient accuracy. Future verifications can be performed without additional Monte Carlo simulations. |
Databáze: | OpenAIRE |
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