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• W2231556334 endingPage "20150770" @default.
• W2231556334 startingPage "20150770" @default.
• W2231556334 abstract "Objective: The VoxTox study, linking delivered dose to toxicity requires recalculation of typically 20–37 fractions per patient, for nearly 2000 patients. This requires a non-interactive interface permitting batch calculation with multiple computers. Methods: Data are extracted from the TomoTherapy® archive and processed using the computational task-management system GANGA. Doses are calculated for each fraction of radiotherapy using the daily megavoltage (MV) CT images. The calculated dose cube is saved as a digital imaging and communications in medicine RTDOSE object, which can then be read by utilities that calculate dose–volume histograms or dose surface maps. The rectum is delineated on daily MV images using an implementation of the Chan–Vese algorithm. Results: On a cluster of up to 117 central processing units, dose cubes for all fractions of 151 patients took 12 days to calculate. Outlining the rectum on all slices and fractions on 151 patients took 7 h. We also present results of the Hounsfield unit (HU) calibration of TomoTherapy MV images, measured over an 8-year period, showing that the HU calibration has become less variable over time, with no large changes observed after 2011. Conclusion: We have developed a system for automatic dose recalculation of TomoTherapy dose distributions. This does not tie up the clinically needed planning system but can be run on a cluster of independent machines, enabling recalculation of delivered dose without user intervention. Advances in knowledge: The use of a task management system for automation of dose calculation and outlining enables work to be scaled up to the level required for large studies." @default.
• W2231556334 created "2016-06-24" @default.
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• W2231556334 date "2016-03-01" @default.
• W2231556334 modified "2023-09-27" @default.
• W2231556334 title "Recalculation of dose for each fraction of treatment on TomoTherapy" @default.
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• W2231556334 doi "https://doi.org/10.1259/bjr.20150770" @default.
• W2231556334 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4986496" @default.
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