BIBLIOS

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

Título
Comparison of non-coplanar optimization of static beams and arc trajectories for intensity-modulated treatments of meningioma cases

Participantes na publicação
Tiago Ventura (Author)
Humberto Rocha (Author)
Brigida da Costa Ferreira (Author)
Dep. Física
IBEB
Joana Dias (Author)
Maria do Carmo Lopes (Author)

Resumo
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.


Suporte
(Australasian) Physical and Engineering Sciences in Medicine

Identificadores da Publicação
ISSN - 2662-4729

Editora
Springer Science and Business Media LLC



Identificadores do Documento
DOI - https://doi.org/10.1007/s13246-021-01061-8
URL - https://doi.org/10.1007/s13246-021-01061-8

Identificadores de Qualidade
CITESCORE (2020 onward) (2020) - 2.6 - Medicine: Radiology, Nuclear Medicine and Imaging
SCIMAGO Q1 (2021) - 723 - Instrumentation
Web Of Science Q1 (2021) - 7.099 - RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING - SCIE
SCOPUS Q1 (2021) - 5 - Biomedical Engineering

Anotações
Formerly known as Australasian Physical and Engineering Sciences in Medicine