Literature DB >> 17113671

Comparison of dose-volume histograms of IMRT treatment plans for ethmoid sinus cancer computed by advanced treatment planning systems including Monte Carlo.

Leen Paelinck1, Bart De Smedt, Nick Reynaert, Marc Coghe, Werner De Gersem, Carlos De Wagter, Barbara Vanderstraeten, Hubert Thierens, Wilfried De Neve.   

Abstract

BACKGROUND AND
PURPOSE: To recompute clinical intensity-modulated treatment plans for ethmoid sinus cancer and to compare quantitatively the dose-volume histograms (DVHs) of the planning target volume (PTV) and the optic organs at risk.
MATERIAL AND METHODS: Ten step-and-shoot intensity-modulated treatment plans were enrolled in this study. Large natural and surgical air cavities challenged the calculation systems. Each optimized treatment plan was recalculated by two superposition convolution (TMS and Pinnacle) and a Monte Carlo system (MCDE). To compare the resulting DVHs, a one-way ANOVA for repeated measurements was performed and multiple pairwise comparisons were made.
RESULTS: The tails of the PTV-DVHs were significantly higher for the Monte Carlo system. The DVHs of the critical organs displayed some statistically but not always clinically significant differences. For the individual patients, the three planning systems sometimes reproduced clinically discrepant DVHs that were not significantly different when averaged over all patients.
CONCLUSIONS: Dose to air cavities contains computational uncertainty. As this dose is clinically irrelevant and optimizing it is meaningless, we recommended extracting the air from the PTV when constructing the PTV-DVH. The planning systems considered reproduce DVHs that are significantly different, especially in the tail region of PTV-DVHs.

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Year:  2006        PMID: 17113671     DOI: 10.1016/j.radonc.2006.10.023

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  3 in total

1.  CT-myelography for high-dose irradiation of spinal and paraspinal tumors with helical tomotherapy: revival of an old tool.

Authors:  Matthias Uhl; Florian Sterzing; Gregor Habl; Kai Schubert; Gabriele Sroka-Perez; Jürgen Debus; Klaus Herfarth
Journal:  Strahlenther Onkol       Date:  2011-06-27       Impact factor: 3.621

2.  Improved normal tissue sparing in head and neck radiotherapy using biological cost function based-IMRT.

Authors:  N Anderson; C Lawford; V Khoo; M Rolfo; D L Joon; M Wada
Journal:  Technol Cancer Res Treat       Date:  2011-12

3.  A virtual source model for Monte Carlo simulation of helical tomotherapy.

Authors:  Jiankui Yuan; Yi Rong; Quan Chen
Journal:  J Appl Clin Med Phys       Date:  2015-01-08       Impact factor: 2.102

  3 in total

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