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A tool to include gamma analysis software into a quality assurance program.
Agnew, Christina E; McGarry, Conor K.
Afiliação
  • Agnew CE; Radiotherapy Physics, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, UK. Electronic address: christina.agnew@belfasttrust.hscni.net.
  • McGarry CK; Radiotherapy Physics, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, UK; Centre for Cancer Research, Queens University Belfast, UK.
Radiother Oncol ; 118(3): 568-73, 2016 Mar.
Article em En | MEDLINE | ID: mdl-26928005
ABSTRACT

PURPOSE:

To provide a tool to enable gamma analysis software algorithms to be included in a quality assurance (QA) program.

METHODS:

Four image sets were created comprising two geometric images to independently test the distance to agreement (DTA) and dose difference (DD) elements of the gamma algorithm, a clinical step and shoot IMRT field and a clinical VMAT arc. The images were analysed using global and local gamma analysis with 2 in-house and 8 commercially available software encompassing 15 software versions. The effect of image resolution on gamma pass rates was also investigated.

RESULTS:

All but one software accurately calculated the gamma passing rate for the geometric images. Variation in global gamma passing rates of 1% at 3%/3mm and over 2% at 1%/1mm was measured between software and software versions with analysis of appropriately sampled images.

CONCLUSION:

This study provides a suite of test images and the gamma pass rates achieved for a selection of commercially available software. This image suite will enable validation of gamma analysis software within a QA program and provide a frame of reference by which to compare results reported in the literature from various manufacturers and software versions.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Algoritmos / Planejamento da Radioterapia Assistida por Computador / Software Limite: Humans / Male Idioma: En Revista: Radiother Oncol Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Algoritmos / Planejamento da Radioterapia Assistida por Computador / Software Limite: Humans / Male Idioma: En Revista: Radiother Oncol Ano de publicação: 2016 Tipo de documento: Article