Automatic replanning of VMAT plans for different treatment machines: Atemplate-based approach using constrained optimization

Automatic replanning of VMAT plans for different treatment machines: Atemplate-based approach... Purpose To investigate a new automatic template-based replanning approach combined with constrained optimization, which may be highly useful for a rapid plan transfer for planned or unplanned machine breakdowns. This approach was tested for prostate cancer (PC) and head-and-neck cancer (HNC) cases. Methods The constraints of a previously optimized volumetric modulated arc therapy (VMAT) plan were used as a template for automatic plan reoptimization for different accelerator head models. All plans were generated using the treatment planning system (TPS) Hyperion. Automatic replanning was performed for 16 PC cases, initially planned for MLC1 (4 mm MLC) and reoptimized for MLC2 (5 mm) and MLC3 (10 mm) and for 19 HNC cases, replanned from MLC2 to MLC3. EUD, D , D ,and D were evaluated for targets; for OARs EUD and D were analyzed. Replanning was considered mean 2% 98% 2% successful if both plans fulfilled equal constraints. Results All prostate cases were successfully replanned. The mean relative target EUD deviation was –0.15% and –0.57% for replanning to MLC2 and MLC3, respectively. OAR sparing was successful in all cases. Replanning of HNC cases from MLC2 to MLC3 was successful in 16/19 patients with a mean decrease of –0.64% in PTV60 EUD. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Strahlentherapie und Onkologie Springer Journals

Automatic replanning of VMAT plans for different treatment machines: Atemplate-based approach using constrained optimization

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Medicine & Public Health; Radiotherapy; Oncology
ISSN
0179-7158
eISSN
1439-099X
D.O.I.
10.1007/s00066-018-1319-x
Publisher site
See Article on Publisher Site

Abstract

Purpose To investigate a new automatic template-based replanning approach combined with constrained optimization, which may be highly useful for a rapid plan transfer for planned or unplanned machine breakdowns. This approach was tested for prostate cancer (PC) and head-and-neck cancer (HNC) cases. Methods The constraints of a previously optimized volumetric modulated arc therapy (VMAT) plan were used as a template for automatic plan reoptimization for different accelerator head models. All plans were generated using the treatment planning system (TPS) Hyperion. Automatic replanning was performed for 16 PC cases, initially planned for MLC1 (4 mm MLC) and reoptimized for MLC2 (5 mm) and MLC3 (10 mm) and for 19 HNC cases, replanned from MLC2 to MLC3. EUD, D , D ,and D were evaluated for targets; for OARs EUD and D were analyzed. Replanning was considered mean 2% 98% 2% successful if both plans fulfilled equal constraints. Results All prostate cases were successfully replanned. The mean relative target EUD deviation was –0.15% and –0.57% for replanning to MLC2 and MLC3, respectively. OAR sparing was successful in all cases. Replanning of HNC cases from MLC2 to MLC3 was successful in 16/19 patients with a mean decrease of –0.64% in PTV60 EUD.

Journal

Strahlentherapie und OnkologieSpringer Journals

Published: May 30, 2018

References

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