Cuijpers Johan P, Dahele Max, Jonker Marianne, Kraan Bianca, Senan Suresh, Slotman Ben, Verbakel Wilko Far
Department of Radiation Oncology, VU University medical center, Amsterdam, 1081 HV, The Netherlands.
Department of Epidemiology and Biostatistics, VU University medical center, Amsterdam, 1081 HV, The Netherlands.
Med Phys. 2017 Feb;44(2):382-388. doi: 10.1002/mp.12074. Epub 2017 Feb 2.
Online tumor matching for SABR lung setup requires margins for inaccuracies due to intra-fraction variability of breathing-averaged tumor position (BATP) and CBCT image guidance. We studied intra-fraction variability during SABR delivery using VMAT, corrected these for measurement inaccuracies, and quantified the CBCT image-guidance uncertainties.
For 193 fractions in 38 patients positioned without immobilization devices, CBCT scans were acquired before and after 2 arcs of a RapidArc treatment. A hidden marker test was performed to determine the accuracy of the CBCT system and an inter-observer test was performed to measure registration accuracy. Intra-fraction variability was calculated after correction for these components of variance, and the prediction interval for setup inaccuracies was determined.
Correction for measurement inaccuracies reduced the intra-fraction variability of the BATP from 1.9 to 1.6 mm in AP, from 1.7 to 1.4 mm in SI and from 1.5 to 1.1 mm in LR direction (1 SD). Intra-fraction variability in bony anatomy after correction was ≤ 1 mm (1 SD). The 95% prediction interval to account for CBCT image-guidance uncertainties and intra-fraction variability was determined, and was found to be within our institutional PTV margins of 5 mm.
Our findings show that it is essential to account for measurement and system inaccuracies when obtaining data for validating PTV margins from online CBCT image guidance.
立体定向体部放疗(SABR)肺部摆位的在线肿瘤匹配需要考虑呼吸平均肿瘤位置(BATP)的分次内变异性和CBCT图像引导所导致的误差边界。我们研究了使用容积调强弧形放疗(VMAT)进行SABR治疗期间的分次内变异性,校正了测量误差,并量化了CBCT图像引导的不确定性。
对38例未使用固定装置摆位的患者的193个分次,在进行两弧的容积调强弧形放疗(RapidArc)治疗前后进行CBCT扫描。进行了一项隐藏标记测试以确定CBCT系统的准确性,并进行了一项观察者间测试以测量配准准确性。在校正这些方差成分后计算分次内变异性,并确定摆位误差的预测区间。
校正测量误差后,BATP的分次内变异性在前后方向(AP)从1.9毫米降至1.6毫米,在头脚方向(SI)从1.7毫米降至1.4毫米,在左右方向(LR)从1.5毫米降至1.1毫米(1标准差)。校正后骨解剖结构的分次内变异性≤1毫米(1标准差)。确定了用于考虑CBCT图像引导不确定性和分次内变异性的95%预测区间,发现其在我们机构5毫米的计划靶体积(PTV)边界内。
我们的研究结果表明,从在线CBCT图像引导获取验证PTV边界的数据时,考虑测量和系统误差至关重要。