Application of error classification model using indices based on dose distribution for characteristics evaluation of multileaf collimator position errors.

ABSTRACT: This study aims to evaluate the specific characteristics of various multileaf collimator (MLC) position errors that are correlated with the indices using dose distribution. The dose distribution was investigated using the gamma, structural similarity, and dosiomics indices. Cases from the American Association of Physicists in Medicine Task Group 119 were planned, and systematic and random MLC position errors were simulated. The indices were obtained from distribution maps and statistically significant indices were selected. The final model was determined when all values of the area under the curve, accuracy, precision, sensitivity, and specificity were higher than 0.8 (p < 0.05). The dose-volume histogram (DVH) relative percentage difference between the error-free and error datasets was ex

SUBMITTER: Sheen H 

PROVIDER: S-EPMC10328946 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature