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Verification system for intensity-modulated radiation therapy with scintillator.
- Source :
- Physical & Engineering Sciences in Medicine; Mar2021, Vol. 44 Issue 1, p9-21, 13p
- Publication Year :
- 2021
-
Abstract
- In the preparation of intensity-modulated radiation therapy (IMRT), patient-specific verification is widely employed to optimize the treatment. To accurately estimate the accumulated dose and obtain the field-by-field or segment-by-segment verification, an original IMRT verification tool using scintillator light and an analysis workflow was developed in this study. The raw light distribution was calibrated with respect to the irradiated field size dependency and light diffusion in the water. The calibrated distribution was converted to dose quantity and subsequently compared with the results of the clinically employed plan. A criterion of 2-mm dose-to-agreement and 3% dose difference was specified in the gamma analysis with a 10% dose threshold. By applying the light diffusion calibration, the maximum dose difference was corrected from 7.7 cGy to 3.9 cGy around the field edge for a 60 cGy dose, 7 × 7 cm<superscript>2</superscript> irradiation field, and 10 MV beam energy. Equivalent performance was confirmed in the chromodynamic film. The average dose difference and gamma pass rate of the accumulated dose distributions in six patients were 0.8 ± 4.5 cGy and 97.4%, respectively. In the field-by-field analysis, the average dose difference and gamma pass rate in seven fields of Patient 1 were 0.2 ± 1.2 cGy and 93.9%, respectively. In the segment-by-segment analysis, the average dose difference and gamma pass rate in nine segments of Patient 1 and a 305° gantry angle were − 0.03 ± 0.2 cGy and 93.9%, respectively. This system allowed the simultaneous and independent analysis of each field or segment in the accumulated dose analysis. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 26624729
- Volume :
- 44
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Physical & Engineering Sciences in Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 151917359
- Full Text :
- https://doi.org/10.1007/s13246-020-00946-4