In vivo portal dosimetry for head-and-neck VMAT and lung IMRT: Linking γ-analysis with differences in dose-volume histograms of the PTV

被引:26
|
作者
Rozendaal, Roel Arthur [1 ]
Mijnheer, Ben J. [1 ]
van Herk, Marcel [1 ]
Mans, Anton [1 ]
机构
[1] Antoni van Leeuwenhoek Hosp, Netherlands Canc Inst, Dept Radiat Oncol, NL-1066 CX Amsterdam, Netherlands
关键词
In vivo dosimetry; Portal dosimetry; EPID; DVH-analysis; gamma-Analysis; QA; CONE-BEAM CT; EPID DOSIMETRY; PRETREATMENT VERIFICATION; PASSING RATES; PER-BEAM; QA; ERRORS;
D O I
10.1016/j.radonc.2014.03.021
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To relate the results of gamma-analysis and dose-volume histogram (DVH) analysis of the PTV for detecting dose deviations with in vivo dosimetry for two treatment sites. Methods and materials: In vivo 3D dose distributions were reconstructed for 722 fractions of 200 head-and-neck (H&N) VMAT treatments and 183 fractions of 61 lung IMRT plans. The reconstructed and planned dose distributions in the PTV were compared using (a) the gamma-distribution and (b) the differences in D2, D50 and D98 between the two dose distributions. Using pre-defined tolerance levels, all fractions were classified as deviating or not deviating by both methods. The mutual agreement, the sensitivity and the specificity of the two methods were compared. Results: For lung IMRT, the classification of the fractions was nearly identical for gamma- and DVH-analyses of the PTV (94% agreement) and the sensitivity and specificity were comparable for both methods. Less agreement (80%) was found for H&N VMAT, while gamma-analysis was both less sensitive and less specific. Conclusions: DVH- and gamma-analyses perform nearly equal in finding dose deviations in the PTV for lung IMRT treatments; for H&N VMAT treatments, DVH-analysis is preferable. As a result of this study, a smooth transition to using DVH-analysis clinically for detecting in vivo dose deviations in the PTV is within reach. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:396 / 401
页数:6
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