Trajectory log analysis and cone-beam CT-based daily dose calculation to investigate the dosimetric accuracy of intensity-modulated radiotherapy for gynecologic cancer

采用轨迹日志分析和基于锥束CT的每日剂量计算方法,研究妇科肿瘤调强放射治疗的剂量学精度

阅读:1

Abstract

This study evaluated unexpected dosimetric errors caused by machine control accuracy, patient setup errors, and patient weight changes/internal organ deformations. Trajectory log files for 13 gynecologic plans with seven- or nine-beam dynamic multileaf collimator (MLC) intensity-modulated radiation therapy (IMRT), and differences between expected and actual MLC positions and MUs were evaluated. Effects of patient setup errors on dosimetry were estimated by in-house software. To simulate residual patient setup errors after image-guided patient repositioning, planned dose distributions were recalculated (blurred dose) after the positions were randomly moved in three dimensions 0-2 mm (translation) and 0°-2° (rotation) 28 times per patient. Differences between planned and blurred doses in the clinical target volume (CTV) D(98%) and D(2%) were evaluated. Daily delivered doses were calculated from cone-beam computed tomography by the Hounsfield unit-to-density conversion method. Fractional and accumulated dose differences between original plans and actual delivery were evaluated by CTV D(98%) and D(2%) . The significance of accumulated doses was tested by the paired t test. Trajectory log file analysis showed that MLC positional errors were -0.01 ± 0.02 mm and MU delivery errors were 0.10 ± 0.10 MU. Differences in CTV D(98%) and D(2%) were <0.5% for simulated patient setup errors. Differences in CTV D(98%) and D(2%) were 2.4% or less between the fractional planned and delivered doses, but were 1.7% or less for the accumulated dose. Dosimetric errors were primarily caused by patient weight changes and internal organ deformation in gynecologic radiation therapy.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。