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Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel.
- Source :
-
BJR open [BJR Open] 2019 Jul 30; Vol. 1 (1), pp. 20190023. Date of Electronic Publication: 2019 Jul 30 (Print Publication: 2019). - Publication Year :
- 2019
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Abstract
- Objective: The reconstruction kernel used for a CT scan strongly influences the image quality. This work investigates the changes in Hounsfield units (HUs) which can arise when altering the image reconstruction kernel for planning CT images and the associated changes in dose in the radiotherapy treatment plan if the treatment planning system (TPS) is not re-calibrated.<br />Methods: Head and neck, prostate and lung CT images from four centres were used. For a specific scan, the base image was acquired using the original reconstruction kernel (used when the TPS was calibrated) and the treatment plan produced. The treatment plan was applied to all images from the other reconstruction kernels. Differences in dose-volume metrics for the planning target volume (PTV) and organs at risk (OARs) were noted and HU differences between images measured for air, soft tissue and bone.<br />Results: HU change in soft tissue had the greatest influence on dose change. When within ±20 HU for soft tissue and ±50 HU for bone and air the dose change in the PTV and OAR was within ±0.5% and ±1% respectively.<br />Conclusions: When imaging parameters were changed, if HU change was within ±20 HU for soft tissue and ±50 HU for bone and air, the change in the PTV and OAR doses was below 1%.<br />Advances in Knowledge: The degree of dose change in the treatment plan with HU change is demonstrated for current TPS algorithms. This adds to the limited evidence base for recommendations on HU tolerances as a tool for radiotherapy CT protocol optimization.<br /> (© 2019 The Authors. Published by the British Institute of Radiology.)
Details
- Language :
- English
- ISSN :
- 2513-9878
- Volume :
- 1
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- BJR open
- Publication Type :
- Academic Journal
- Accession number :
- 33178950
- Full Text :
- https://doi.org/10.1259/bjro.20190023