201. Textural feature calculated from segmental fluences as a modulation index for VMAT
- Author
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Hyoungnyoun Kim, Jung In Kim, Il Han Kim, Jong Min Park, Sung-Joon Ye, and So Yeon Park
- Subjects
Male ,business.industry ,Radiotherapy Planning, Computer-Assisted ,Biophysics ,Modulation index ,General Physics and Astronomy ,Second moment of area ,Prostatic Neoplasms ,Radiotherapy Dosage ,General Medicine ,Volumetric modulated arc therapy ,Correlation ,Textural feature ,Head and Neck Neoplasms ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Radiotherapy, Intensity-Modulated ,Head and neck ,business ,Nuclear medicine ,Rank correlation ,Retrospective Studies - Abstract
Textural features calculated from various segmental fluences of volumetric modulated arc therapy (VMAT) plans were optimized to enhance its performance to predict plan delivery accuracy.Twenty prostate and twenty head and neck VMAT plans were selected retrospectively. Fluences were generated for each VMAT plan by summations of segments at sequential groups of control points. The numbers of summed segments were 5, 10, 20, 45, 90, 178 and 356. For each fluence, we investigated 6 textural features: angular second moment, inverse difference moment, contrast, variance, correlation and entropy (particular displacement distances, d = 1, 5 and 10). Spearman's rank correlation coefficients (rs) were calculated between each textural feature and several different measures of VMAT delivery accuracy.The values of rs of contrast (d = 10) with 10 segments to both global and local gamma passing rates with 2%/2 mm were 0.666 (p 0.001) and 0.573 (p 0.001), respectively. It showed rs values of -0.895 (p 0.001) and 0.727 (p 0.001) to multi-leaf collimator positional errors and gantry angle errors during delivery, respectively. The number of statistically significant rs values (p 0.05) to the changes in dose-volumetric parameters during delivery was 14 among a total of 35 tested parameters.Contrast (d = 10) with 10 segments showed higher correlations to the VMAT delivery accuracy than did the conventional modulation indices.
- Published
- 2015