Simple calculation using anatomical features on pre-treatment verification CT for bladder volume estimation during radiation therapy for rectal cancer

利用治疗前验证CT的解剖特征进行简单计算,以估算直肠癌放射治疗期间膀胱的体积

阅读:1

Abstract

BACKGROUND: Despite detailed instruction for full bladder, patients are unable to maintain consistent bladder filling during a 5-week pelvic radiation therapy (RT) course. We investigated the best bladder volume estimation procedure for verifying consistent bladder volume. METHODS: We reviewed 462 patients who underwent pelvic RT. Biofeedback using a bladder scanner was conducted before simulation and during treatment. Exact bladder volume was calculated by bladder inner wall contour based on CT images (V(ctsim)). Bladder volume was estimated either by bladder scanner (V(scan)) or anatomical features from the presacral promontory to the bladder base and dome in the sagittal plane of CT (V(ratio)). The feasibility of V(ratio) was validated using daily megavoltage or kV cone-beam CT before treatment. RESULTS: Mean V(ctsim) was 335.6 ± 147.5 cc. Despite a positive correlation between V(ctsim) and V(scan) (R(2) = 0.278) and between V(ctsim) and V(ratio) (R(2) = 0.424), V(ratio) yielded more consistent results than V(scan), with a mean percentage error of 26.3 (SD 19.6, p < 0.001). The correlation between V(ratio) and V(ctsim) was stronger than that between V(scan) and V(ctsim) (Z-score: - 7.782, p < 0.001). An accuracy of V(ratio) was consistent in megavoltage or kV cone-beam CT during treatment. In a representative case, we can dichotomize for clinical scenarios with or without bowel displacement, using a ratio of 0.8 resulting in significant changes in bowel volume exposed to low radiation doses. CONCLUSIONS: Bladder volume estimation using personalized anatomical features based on pre-treatment verification CT images was useful and more accurate than physician-dependent bladder scanners. TRIAL REGISTRATION: Retrospectively registered.

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。