Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/97203
Title: Comparison of non-coplanar optimization of static beams and arc trajectories for intensity-modulated treatments of meningioma cases
Authors: Ventura, Tiago 
Rocha, Humberto 
da Costa Ferreira, Brigida
Dias, Joana
do Carmo Lopes, Maria
Keywords: Arc trajectory; Beam angle optimization; Non-coplanar; VMAT
Issue Date: Dec-2021
Publisher: Springer Nature
Project: UIDB/00308/2020 
UIDB/05037/2020 
POCI-01-0145- FEDER-028030 
Serial title, monograph or event: Physical and Engineering Sciences in Medicine
Volume: 44
Issue: 4
Abstract: Two methods for non-coplanar beam direction optimization, one for static beams and another for arc trajectories, were proposed for intracranial tumours. The results of the beam angle optimizations were compared with the beam directions used in the clinical plans. Ten meningioma cases already treated were selected for this retrospective planning study. Algorithms for non-coplanar beam angle optimization (BAO) and arc trajectory optimization (ATO) were used to generate the corresponding plans. A plan quality score, calculated by a graphical method for plan assessment and comparison, was used to guide the beam angle optimization process. For each patient, the clinical plans (CLIN), created with the static beam orientations used for treatment, and coplanar VMAT approximated plans (VMAT) were also generated. To make fair plan comparisons, all plan optimizations were performed in an automated multicriteria calculation engine and the dosimetric plan quality was assessed. BAO and ATO plans presented, on average, moderate global plan score improvements over VMAT and CLIN plans. Nevertheless, while BAO and CLIN plans assured a more efficient OARs sparing, the ATO and VMAT plans presented a higher coverage and conformity of the PTV. Globally, all plans presented high-quality dose distributions. No statistically significant quality differences were found, on average, between BAO, ATO and CLIN plans. However, automated plan solution optimizations (BAO or ATO) may improve plan generation efficiency and standardization. In some individual patients, plan quality improvements were achieved with ATO plans, demonstrating the possible benefits of this automated optimized delivery technique.
URI: http://hdl.handle.net/10316/97203
ISSN: 2662-4729
2662-4737
DOI: 10.1007/s13246-021-01061-8
Rights: openAccess
Appears in Collections:I&D CeBER - Artigos em Revistas Internacionais

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