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Texture analysis on the edge-enhanced fluence of VMAT

BACKGROUND: Textural features of edge-enhanced fluence were analysed to quantify modulation degree of volumetric modulated arc therapy (VMAT) plans. METHODS: Twenty prostate and twenty head and neck VMAT plans were retrospectively selected. Fluences of VMAT plans were generated by integration of mon...

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Autores principales: Park, So-Yeon, Park, Jong Min, Sung, Wonmo, Kim, Il Han, Ye, Sung-Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386104/
https://www.ncbi.nlm.nih.gov/pubmed/25890104
http://dx.doi.org/10.1186/s13014-015-0382-z
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author Park, So-Yeon
Park, Jong Min
Sung, Wonmo
Kim, Il Han
Ye, Sung-Joon
author_facet Park, So-Yeon
Park, Jong Min
Sung, Wonmo
Kim, Il Han
Ye, Sung-Joon
author_sort Park, So-Yeon
collection PubMed
description BACKGROUND: Textural features of edge-enhanced fluence were analysed to quantify modulation degree of volumetric modulated arc therapy (VMAT) plans. METHODS: Twenty prostate and twenty head and neck VMAT plans were retrospectively selected. Fluences of VMAT plans were generated by integration of monitor units shaped by multi-leaf collimators (MLCs) at each control point. When generating fluences, the values of pixels representing MLC tips were doubled to prevent smearing out of small or irregular fields (edge-enhancement). Six kinds of textural features, including angular second moment, inverse difference moment, contrast, variance, correlation and entropy, were calculated with particular displacement distances (d) of 1, 5 and 10. Plan delivery accuracy was evaluated by gamma-index method, mechanical parameter differences between plan and delivery and differences in dose-volumetric parameters between plan and delivery. Spearman’s correlation coefficients (r(s)) were calculated between the values of textural features and VMAT delivery accuracy. RESULTS: The r(s) values of contrast (d = 1) with edge-enhancement to global gamma passing rates with 2%/2 mm, 1%/2 mm and 2%/1 mm were 0.546 (p < 0.001), 0.744 (p < 0.001) and 0.487 (p = 0.001), respectively. Those with local 2%/2 mm, 1%/2 mm and 2%/1 mm were 0.588, 0.640 and 0.644, respectively (all with p < 0.001). The r(s) values of contrast (d = 1) to MLC and gantry angle errors were -0.853 and 0.655, respectively (all with p < 0.001). The contrast (d = 1) showed statistically significant r(s) values in 11 dose-volumetric parameter differences from a total of 35 cases, and generally showed better correlations to plan delivery accuracy than did previously suggested textural features with non-edge-enhanced fluences, as well as conventional modulation indices. CONCLUSIONS: Contrast (d = 1) with edge-enhanced fluences could be used as modulation index for VMAT.
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spelling pubmed-43861042015-04-07 Texture analysis on the edge-enhanced fluence of VMAT Park, So-Yeon Park, Jong Min Sung, Wonmo Kim, Il Han Ye, Sung-Joon Radiat Oncol Research BACKGROUND: Textural features of edge-enhanced fluence were analysed to quantify modulation degree of volumetric modulated arc therapy (VMAT) plans. METHODS: Twenty prostate and twenty head and neck VMAT plans were retrospectively selected. Fluences of VMAT plans were generated by integration of monitor units shaped by multi-leaf collimators (MLCs) at each control point. When generating fluences, the values of pixels representing MLC tips were doubled to prevent smearing out of small or irregular fields (edge-enhancement). Six kinds of textural features, including angular second moment, inverse difference moment, contrast, variance, correlation and entropy, were calculated with particular displacement distances (d) of 1, 5 and 10. Plan delivery accuracy was evaluated by gamma-index method, mechanical parameter differences between plan and delivery and differences in dose-volumetric parameters between plan and delivery. Spearman’s correlation coefficients (r(s)) were calculated between the values of textural features and VMAT delivery accuracy. RESULTS: The r(s) values of contrast (d = 1) with edge-enhancement to global gamma passing rates with 2%/2 mm, 1%/2 mm and 2%/1 mm were 0.546 (p < 0.001), 0.744 (p < 0.001) and 0.487 (p = 0.001), respectively. Those with local 2%/2 mm, 1%/2 mm and 2%/1 mm were 0.588, 0.640 and 0.644, respectively (all with p < 0.001). The r(s) values of contrast (d = 1) to MLC and gantry angle errors were -0.853 and 0.655, respectively (all with p < 0.001). The contrast (d = 1) showed statistically significant r(s) values in 11 dose-volumetric parameter differences from a total of 35 cases, and generally showed better correlations to plan delivery accuracy than did previously suggested textural features with non-edge-enhanced fluences, as well as conventional modulation indices. CONCLUSIONS: Contrast (d = 1) with edge-enhanced fluences could be used as modulation index for VMAT. BioMed Central 2015-04-01 /pmc/articles/PMC4386104/ /pubmed/25890104 http://dx.doi.org/10.1186/s13014-015-0382-z Text en © Park et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Park, So-Yeon
Park, Jong Min
Sung, Wonmo
Kim, Il Han
Ye, Sung-Joon
Texture analysis on the edge-enhanced fluence of VMAT
title Texture analysis on the edge-enhanced fluence of VMAT
title_full Texture analysis on the edge-enhanced fluence of VMAT
title_fullStr Texture analysis on the edge-enhanced fluence of VMAT
title_full_unstemmed Texture analysis on the edge-enhanced fluence of VMAT
title_short Texture analysis on the edge-enhanced fluence of VMAT
title_sort texture analysis on the edge-enhanced fluence of vmat
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386104/
https://www.ncbi.nlm.nih.gov/pubmed/25890104
http://dx.doi.org/10.1186/s13014-015-0382-z
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