Novel inverse planning optimization algorithm for robotic radiosurgery: First clinical implementation and dosimetric evaluation.

Details

Serval ID
serval:BIB_B851A13DC5B2
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Novel inverse planning optimization algorithm for robotic radiosurgery: First clinical implementation and dosimetric evaluation.
Journal
Physica medica
Author(s)
Zeverino M., Marguet M., Zulliger C., Durham A., Jumeau R., Herrera F., Schiappacasse L., Bourhis J., Bochud F.O., Moeckli R.
ISSN
1724-191X (Electronic)
ISSN-L
1120-1797
Publication state
Published
Issued date
08/2019
Peer-reviewed
Oui
Volume
64
Pages
230-237
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
A novel optimization algorithm (VOLO™) for robotic radiosurgery in the Precision™ treatment planning system was evaluated for different SRS/SBRT treatments and compared with the previous Sequential Optimization (SO) algorithm.
Fifty cases of brain, spine, prostate and lung tumors previously optimized with SO, were re-planned with VOLO™ algorithm keeping the same prescription, collimator type and size, optimization shells, and blocking structures. The dosimetric comparison involved target coverage, conformity (CI), gradient (GI) and homogeneity indexes, specific indicators of dose to OARs and number of nodes, beams, MU and delivery time. For brain only, plans were IRIS- and MLC-based (10 each). The remaining 30 plans were all IRIS-based.
VOLO™ optimization was significantly superior for target coverage for prostate and spine, CI for brain, and for brain and urethra dose sparing. SO gave significantly better results for GI for prostate. VOLO™ showed a significantly steeper dose fall-off for brain MLC-based, while for prostate and spine SO was superior. For IRIS-based plans, VOLO™ significantly reduced the nodes (36%), beams (14%), and MU (31%). This led to an average reduction of delivery time of 20% (from 8% for brain to 30% for prostate). For MLC-based plans, VOLO™ significantly increased the nodes and beams (42%) keeping the same number of MU. The averaged delivery time increased by 18%.
With respect to SO, VOLO™ optimization algorithm provided better results in terms of delivery time for IRIS-based and of quality of dose distribution for MLC-based plans, respectively.
Keywords
Cyberknife, Inverse planning, Plan comparison, SBRT, SRS
Pubmed
Web of science
Open Access
Yes
Create date
20/09/2019 22:46
Last modification date
20/06/2020 10:35
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