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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Medical Physicsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Medical Physics
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Medical Physics
Article . 2021
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Are gamma passing rate and dose–volume histogram QA metrics correlated?

Authors: Mateusz, Baran; Zbisɫaw, Tabor; Monika, Tulik; Damian, Kabat; Krzysztof, Rzecki; Tomasz, Sośnicki; Michael, Waligórski;

Are gamma passing rate and dose–volume histogram QA metrics correlated?

Abstract

AbstractPurposeThe quality of a measured distribution of dose delivered against its corresponding radiotherapy plan is routinely assessed by gamma index (GI) and dose–volume histogram (DVH) metrics. Any correlation between error detection rates, as based on either of these approaches, while argued, has never been convincingly demonstrated. The dependence of the strength of correlation between the GI passing rate () and DVH quality assurance (QA) metrics on various elements of the therapy plan has not been systematically investigated.MethodsA formal analysis of the relation between and DVH metrics has been undertaken, leading to a relationship which may partly approximate with respect to the DVH. This relationship was further validated by studying examples of simulated clinical radiotherapy plans and by studying the correlation between and the derived relationship using a simple two‐dimensional representations of the planning target volume (PTV) and organs at risk (OAR), where penumbra regions, distance‐to‐agreement tolerances and dose delivery errors were systematically varied.ResultsIt is shown formally that there cannot be any correlation between and other commonly applied DVH‐derived QA measures. However, may be partly approximated given the planned and measured DVH. The derived approximation (the “‐slope indicator”) may be clinically useful in some practical cases of radiotherapy plan QA.ConclusionsIn formal terms, there cannot be any correlation between and any common DVH‐calculated patient‐specific measures, with respect to PTV or OAR. However, as demonstrated analytically and further confirmed in our simulation studies, the approximation derived in this study (the “‐slope indicator”) may in some cases offer a degree of correlation between and the PTV and OAR DVH QA metrics in measured and planned patient‐specific dose distributions—which may be potentially useful in clinical practice.

Keywords

Organs at Risk, Benchmarking, Radiotherapy Planning, Computer-Assisted, Humans, Radiotherapy Dosage, Radiotherapy, Intensity-Modulated

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
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