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Verónica Moran-Velasco

Bio: Verónica Moran-Velasco is an academic researcher from University of Navarra. The author has contributed to research in topics: Statistical distance & Statistical hypothesis testing. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

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TL;DR: A new procedure for the comparison of two dose matrices by means of a statistical test based on the square difference between the experimental and expected gamma matrix results, which gives the same statistical significance as 90% of gamma-pass rate.
Abstract: In this study, we present a new procedure for the comparison of two dose matrices by means of a statistical test. A statistical distance is proposed to decide whether the difference between the two matrices is statistically significant. This statistical test is based on the square difference between the experimental and expected gamma matrix results. The expected gamma matrix is calculated by simulating the measurement process. For comparison purposes, the significance level of the test was chosen to give the same statistical significance as 90% of gamma-pass rate. The performance of the statistical distance is checked against 53 VMAT. The power of the presented test was compared using simulations with the 90% gamma-pass rate criteria for two cases in which intentional errors are introduced. In both cases, the test is uniformly more powerful. According to the test, two of the measured plans have a significant difference with calculated matrices, although the gamma pass rate measured was always greater than 90%.

1 citations


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TL;DR: Among the available methods for the comparison of two dose distributions, the γ-analysis (gamma analysis) has been widely adopted as the gold standard in verification procedures and the development of a better metric taking into account both statistical and in clinical parameters is required.

12 citations