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Texture analysis on the edge-enhanced fluence of VMAT

Cited 17 time in Web of Science Cited 16 time in Scopus
Authors

Park, So-Yeon; Park, Jong Min; Sung, Wonmo; Kim, Il Han; Ye, Sung-Joon

Issue Date
2015-04-01
Publisher
BioMed Central
Citation
Radiation Oncology, 10(1):74
Keywords
Texture analysisVolumetric modulated arc therapyModulation indexFluence
Abstract
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. Spearmans correlation coefficients (rs) were calculated between the values of textural features and VMAT delivery accuracy.

Results
The rs values of contrast (d = 1) with edge-enhancement to global gamma passing rates with 2%/2mm, 1%/2mm and 2%/1mm were 0.546 (p < 0.001), 0.744 (p < 0.001) and 0.487 (p = 0.001), respectively. Those with local 2%/2mm, 1%/2mm and 2%/1mm were 0.588, 0.640 and 0.644, respectively (all with p < 0.001). The rs 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 rs 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.
Language
English
URI
https://hdl.handle.net/10371/109833
DOI
https://doi.org/10.1186/s13014-015-0382-z
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