Evaluation of DVH-based treatment plan verification in addition to gamma passing rates for head and neck IMRT.
Radiother Oncol
; 112(3): 389-95, 2014 Sep.
Article
em En
| MEDLINE
| ID: mdl-25154319
ABSTRACT
BACKGROUND AND PURPOSE:
Treatment plan verification of intensity modulated radiotherapy (IMRT) is generally performed with the gamma index (GI) evaluation method, which is difficult to extrapolate to clinical implications. Incorporating Dose Volume Histogram (DVH) information can compensate for this. The aim of this study was to evaluate DVH-based treatment plan verification in addition to the GI evaluation method for head and neck IMRT. MATERIALS ANDMETHODS:
Dose verifications of 700 subsequent head and neck cancer IMRT treatment plans were categorised according to gamma and DVH-based action levels. Fractionation dependent absolute dose limits were chosen. The results of the gamma- and DVH-based evaluations were compared to the decision of the medical physicist and/or radiation oncologist for plan acceptance.RESULTS:
Nearly all treatment plans (99.7%) were accepted for treatment according to the GI evaluation combined with DVH-based verification. Two treatment plans were re-planned according to DVH-based verification, which would have been accepted using the evaluation alone. DVH-based verification increased insight into dose delivery to patient specific structures increasing confidence that the treatment plans were clinically acceptable. Moreover, DVH-based action levels clearly distinguished the role of the medical physicist and radiation oncologist within the Quality Assurance (QA) procedure.CONCLUSIONS:
DVH-based treatment plan verification complements the GI evaluation method improving head and neck IMRT-QA.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doses de Radiação
/
Radiometria
/
Planejamento da Radioterapia Assistida por Computador
/
Radioterapia de Intensidade Modulada
/
Neoplasias de Cabeça e Pescoço
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2014
Tipo de documento:
Article