Utilising pseudo-CT data for dose calculation and plan optimization in adaptive radiotherapy

Australasian Physical & Engineering Sciences in Medicine
Brendan WhelanLois Holloway

Abstract

To quantify the dose calculation error and resulting optimization uncertainty caused by performing inverse treatment planning on inaccurate electron density data (pseudo-CT) as needed for adaptive radiotherapy and Magnetic Resonance Imaging (MRI) based treatment planning. Planning Computer Tomography (CT) data from 10 cervix cancer patients was used to generate 4 pseudo-CT data sets. Each pseudo-CT was created based on an available method of assigning electron density to an anatomic image. An inversely modulated radiotherapy (IMRT) plan was developed on each planning CT. The dose calculation error caused by each pseudo-CT data set was quantified by comparing the dose calculated each pseudo-CT data set with that calculated on the original planning CT for the same IMRT plan. The optimization uncertainty introduced by the dose calculation error was quantified by re-optimizing the same optimization parameters on each pseudo-CT data set and comparing against the original planning CT. Dose differences were quantified by assessing the Equivalent Uniform Dose (EUD) for targets and relevant organs at risk. Across all pseudo-CT data sets and all organs, the absolute mean dose calculation error was 0.2 Gy, and was within 2 % of the prescr...Continue Reading

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Citations

Feb 18, 2018·Medical Physics·Bastien RigaudRenaud De Crevoisier
Aug 19, 2018·Australasian Physical & Engineering Sciences in Medicine·Tony YoungLois Holloway
Jan 1, 2017·International Journal of Particle Therapy·Kim Melanie KrausFlorian Sterzing
Jan 28, 2017·Radiation Oncology·Jens M Edmund, Tufve Nyholm
Jun 18, 2017·International Journal of Clinical Oncology·A SmitsK Galaal
Mar 25, 2021·Physics in Medicine and Biology·M L Groot KoerkampA C Houweling

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