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

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dc.contributor.author김지훈-
dc.contributor.author김진성-
dc.contributor.author김창환-
dc.contributor.author홍채선-
dc.contributor.author신한백-
dc.date.accessioned2023-11-07T07:36:14Z-
dc.date.available2023-11-07T07:36:14Z-
dc.date.issued2023-07-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/196464-
dc.description.abstractThis 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 examined to investigate clinical relations. Seven multivariate predictive models were finalized. The common significant dosiomics indices (GLCM Energy and GLRLM_LRHGE) can characterize the MLC position error. In addition, the finalized logistic regression model for MLC position error prediction showed excellent performance with AUC > 0.9. Furthermore, the results of the DVH were related to dosiomics analysis in that it reflects the characteristics of the MLC position error. It was also shown that dosiomics analysis could provide important information on localized dose-distribution differences in addition to DVH information. © 2023. The Author(s).-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageEnglish-
dc.publisherNature Publishing Group-
dc.relation.isPartOfSCIENTIFIC REPORTS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHGamma Rays-
dc.subject.MESHPhantoms, Imaging-
dc.subject.MESHRadiotherapy Dosage-
dc.subject.MESHRadiotherapy Planning, Computer-Assisted* / methods-
dc.subject.MESHRadiotherapy, Intensity-Modulated* / methods-
dc.titleApplication of error classification model using indices based on dose distribution for characteristics evaluation of multileaf collimator position errors-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiation Oncology (방사선종양학교실)-
dc.contributor.googleauthorHeesoon Sheen-
dc.contributor.googleauthorHan-Back Shin-
dc.contributor.googleauthorHojae Kim-
dc.contributor.googleauthorChanghwan Kim-
dc.contributor.googleauthorJihun Kim-
dc.contributor.googleauthorJin Sung Kim-
dc.contributor.googleauthorChae-Seon Hong-
dc.identifier.doi10.1038/s41598-023-35570-1-
dc.contributor.localIdA05823-
dc.contributor.localIdA04548-
dc.contributor.localIdA06353-
dc.contributor.localIdA05846-
dc.relation.journalcodeJ02646-
dc.identifier.eissn2045-2322-
dc.identifier.pmid37419940-
dc.contributor.alternativeNameKim, Jihun-
dc.contributor.affiliatedAuthor김지훈-
dc.contributor.affiliatedAuthor김진성-
dc.contributor.affiliatedAuthor김창환-
dc.contributor.affiliatedAuthor홍채선-
dc.citation.volume13-
dc.citation.number1-
dc.citation.startPage11027-
dc.identifier.bibliographicCitationSCIENTIFIC REPORTS, Vol.13(1) : 11027, 2023-07-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers

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