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Radiation Oncology
Published in: Radiation Oncology 1/2017

Open Access 01-12-2017 | Research

Fully automated treatment planning of spinal metastases – A comparison to manual planning of Volumetric Modulated Arc Therapy for conventionally fractionated irradiation

Authors: Daniel Buergy, Abdul Wahab M. Sharfo, Ben J. M. Heijmen, Peter W. J. Voet, Sebastiaan Breedveld, Frederik Wenz, Frank Lohr, Florian Stieler

Published in: Radiation Oncology | Issue 1/2017

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Abstract

Background

Planning for Volumetric Modulated Arc Therapy (VMAT) may be time consuming and its use is limited by available staff resources. Automated multicriterial treatment planning can eliminate this bottleneck. We compared automatically created (auto) VMAT plans generated by Erasmus-iCycle to manually created VMAT plans for treatment of spinal metastases.

Methods

Forty-two targets in 32 patients were analyzed. Lungs and kidneys were defined as organs at risk (OARs). Twenty-two patients received radiotherapy on kidney levels, 17 on lung levels, and 3 on both levels.

Results

All Erasmus-iCycle plans were clinically acceptable. When compared to manual plans, planning target volume (PTV) coverage of auto plans was significantly better. The Homogeneity Index did not differ significantly between the groups. Mean dose to OARs was lower in auto plans concerning both kidneys and the left lung. One hotspot (>110% of D50%) occurred in the spinal cord of one auto plan (33.2 Gy, D50%: 30 Gy). Treatment time was 7% longer in auto plans.

Conclusions

Erasmus-iCycle plans showed better target coverage and sparing of OARs at the expense of minimally longer treatment times (for which no constraint was set).
Appendix
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Metadata
Title
Fully automated treatment planning of spinal metastases – A comparison to manual planning of Volumetric Modulated Arc Therapy for conventionally fractionated irradiation
Authors
Daniel Buergy
Abdul Wahab M. Sharfo
Ben J. M. Heijmen
Peter W. J. Voet
Sebastiaan Breedveld
Frederik Wenz
Frank Lohr
Florian Stieler
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Radiation Oncology / Issue 1/2017
Electronic ISSN: 1748-717X
DOI
https://doi.org/10.1186/s13014-017-0767-2

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