Effectiveness of robust optimization in volumetric modulated arc therapy using 6 and 10 MV flattening filter-free beam therapy planning for lung stereotactic body radiation therapy with a breath-hold technique.
VMAT
dose uncertainty
lung
perturbed dose
robust optimization
Journal
Journal of radiation research
ISSN: 1349-9157
Titre abrégé: J Radiat Res
Pays: England
ID NLM: 0376611
Informations de publication
Date de publication:
06 Jul 2020
06 Jul 2020
Historique:
received:
27
11
2019
revised:
27
01
2020
pubmed:
6
5
2020
medline:
9
7
2021
entrez:
6
5
2020
Statut:
ppublish
Résumé
We investigated the feasibility of a robust optimization with 6 MV X-ray (6X) and 10 MV X-ray (10X) flattening filter-free (FFF) beams in a volumetric modulated arc therapy (VMAT) plan for lung stereotactic body radiation therapy (SBRT) using a breath-holding technique. Ten lung cancer patients were selected. Four VMAT plans were generated for each patient; namely, an optimized plan based on the planning target volume (PTV) margin and a second plan based on a robust optimization of the internal target volume (ITV) with setup uncertainties, each for the 6X- and 10X-FFF beams. Both optimized plans were normalized by the percentage of the prescription dose covering 95% of the target volume (D95%) to the PTV (1050 cGy × 4 fractions). All optimized plans were evaluated using perturbed doses by specifying user-defined shifted values from the isocentre. The average perturbed D99% doses to the ITV, compared to the nominal plan, decreased by 369.1 (6X-FFF) and 301.0 cGy (10X-FFF) for the PTV-based optimized plan, and 346.0 (6X-FFF) and 271.6 cGy (10X-FFF) for the robust optimized plan, respectively. The standard deviation of the D99% dose to the ITV were 163.6 (6X-FFF) and 158.9 cGy (10X-FFF) for the PTV-based plan, and 138.9 (6X-FFF) and 128.5 cGy (10X-FFF) for the robust optimized plan, respectively. Robust optimized plans with 10X-FFF beams is a feasible method to achieve dose certainty for the ITV for lung SBRT using a breath-holding technique.
Identifiants
pubmed: 32367109
pii: 5829022
doi: 10.1093/jrr/rraa026
pmc: PMC7336549
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
575-585Commentaires et corrections
Type : CommentIn
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology.
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