A comparison of two dose calculation algorithms-anisotropic analytical algorithm and Acuros XB-for radiation therapy planning of canine intranasal tumors.
Vet Radiol Ultrasound
; 58(4): 479-485, 2017 Jul.
Article
em En
| MEDLINE
| ID: mdl-28464564
ABSTRACT
Although anisotropic analytical algorithm (AAA) and Acuros XB (AXB) are both radiation dose calculation algorithms that take into account the heterogeneity within the radiation field, Acuros XB is inherently more accurate. The purpose of this retrospective method comparison study was to compare them and evaluate the dose discrepancy within the planning target volume (PTV). Radiation therapy (RT) plans of 11 dogs with intranasal tumors treated by radiation therapy at the University of Georgia were evaluated. All dogs were planned for intensity-modulated radiation therapy using nine coplanar X-ray beams that were equally spaced, then dose calculated with anisotropic analytical algorithm. The same plan with the same monitor units was then recalculated using Acuros XB for comparisons. Each dog's planning target volume was separated into air, bone, and tissue and evaluated. The mean dose to the planning target volume estimated by Acuros XB was 1.3% lower. It was 1.4% higher for air, 3.7% lower for bone, and 0.9% lower for tissue. The volume of planning target volume covered by the prescribed dose decreased by 21% when Acuros XB was used due to increased dose heterogeneity within the planning target volume. Anisotropic analytical algorithm relatively underestimates the dose heterogeneity and relatively overestimates the dose to the bone and tissue within the planning target volume for the radiation therapy planning of canine intranasal tumors. This can be clinically significant especially if the tumor cells are present within the bone, because it may result in relative underdosing of the tumor.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Nasais
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Doenças do Cão
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Radioterapia de Intensidade Modulada
Tipo de estudo:
Observational_studies
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Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
Vet Radiol Ultrasound
Assunto da revista:
DIAGNOSTICO POR IMAGEM
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MEDICINA VETERINARIA
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RADIOLOGIA
Ano de publicação:
2017
Tipo de documento:
Article