A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy

Two datasets of points of known spatial positions and an associated absorbed dose value are often compared for quality assurance purposes in External Beam Radiation Therapy (EBRT). Some problems usually arise regarding the pass fail criterion to accept both datasets as close enough for practical pur...

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Main Authors: Francisco Cutanda Henríquez, Silvia Vargas Castrillón
Format: Article
Language:English
Published: Hindawi Limited 2011-01-01
Series:Computational and Mathematical Methods in Medicine
Online Access:http://dx.doi.org/10.1155/2011/861869
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spelling doaj-7c1df78d0eca458a85570239b4b859e62020-11-24T22:15:09ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182011-01-01201110.1155/2011/861869861869A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation TherapyFrancisco Cutanda Henríquez0Silvia Vargas Castrillón1Servicio de Medicina Nuclear, Hospital General Universitario Gregorio Marañón, Calle Doctor Esquerdo, 46, 28007 Madrid, SpainLaboratorio de Metrología de Radiaciones Ionizantes, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Avenida Complutense, 22, 28040 Madrid, SpainTwo datasets of points of known spatial positions and an associated absorbed dose value are often compared for quality assurance purposes in External Beam Radiation Therapy (EBRT). Some problems usually arise regarding the pass fail criterion to accept both datasets as close enough for practical purposes. Instances of this kind of comparisons are fluence or dose checks for intensity modulated radiation therapy, modelling of a treatment unit in a treatment planning system, and so forth. The gamma index is a figure of merit that can be obtained from both datasets; it is widely used, as well as other indices, as part of a comparison procedure. However, it is recognized that false negatives may take place (there are acceptable cases where a certain number of points do not pass the test) due in part to computation and experimental uncertainty. This work utilizes mathematical methods to analyse comparisons, so that uncertainty can be taken into account. Therefore, false rejections due to uncertainty do not take place and there is no need to expand tolerances to take uncertainty into account. The methods provided are based on the rules of uncertainty propagation and help obtain rigorous pass/fail criteria, based on experimental information.http://dx.doi.org/10.1155/2011/861869
collection DOAJ
language English
format Article
sources DOAJ
author Francisco Cutanda Henríquez
Silvia Vargas Castrillón
spellingShingle Francisco Cutanda Henríquez
Silvia Vargas Castrillón
A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy
Computational and Mathematical Methods in Medicine
author_facet Francisco Cutanda Henríquez
Silvia Vargas Castrillón
author_sort Francisco Cutanda Henríquez
title A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy
title_short A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy
title_full A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy
title_fullStr A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy
title_full_unstemmed A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy
title_sort probability approach to the study on uncertainty effects on gamma index evaluations in radiation therapy
publisher Hindawi Limited
series Computational and Mathematical Methods in Medicine
issn 1748-670X
1748-6718
publishDate 2011-01-01
description Two datasets of points of known spatial positions and an associated absorbed dose value are often compared for quality assurance purposes in External Beam Radiation Therapy (EBRT). Some problems usually arise regarding the pass fail criterion to accept both datasets as close enough for practical purposes. Instances of this kind of comparisons are fluence or dose checks for intensity modulated radiation therapy, modelling of a treatment unit in a treatment planning system, and so forth. The gamma index is a figure of merit that can be obtained from both datasets; it is widely used, as well as other indices, as part of a comparison procedure. However, it is recognized that false negatives may take place (there are acceptable cases where a certain number of points do not pass the test) due in part to computation and experimental uncertainty. This work utilizes mathematical methods to analyse comparisons, so that uncertainty can be taken into account. Therefore, false rejections due to uncertainty do not take place and there is no need to expand tolerances to take uncertainty into account. The methods provided are based on the rules of uncertainty propagation and help obtain rigorous pass/fail criteria, based on experimental information.
url http://dx.doi.org/10.1155/2011/861869
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