Department of Radiation Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
School of Physics and Technology, Wuhan University, Wuhan, China.
Radiat Oncol. 2020 Jul 10;15(1):170. doi: 10.1186/s13014-020-01611-6.
Surface-guided radiation therapy (SGRT) employs a non-invasive real-time optical surface imaging (OSI) technique for patient surface motion monitoring during radiotherapy. The main purpose of this study is to verify the real-time tracking accuracy of SGRT for respiratory motion and provide a fitting method to detect the time delay of gating.
A respiratory motion phantom was utilized to simulate respiratory motion using 17 cosine breathing pattern curves with various periods and amplitudes. The motion tracking of the phantom was performed by the Catalyst™ system. The tracking accuracy of the system (with period and amplitude variations) was evaluated by analyzing the adjusted coefficient of determination (A_R) and root mean square error (RMSE). Furthermore, 13 actual respiratory curves, which were categorized into regular and irregular patterns, were selected and then simulated by the phantom. The Fourier transform was applied to the respiratory curves, and tracking accuracy was compared through the quantitative analyses of curve similarity using the Pearson correlation coefficient (PCC). In addition, the time delay of amplitude-based respiratory-gating radiotherapy based on the OSI system with various beam hold times was tested using film dosimetry for the Elekta Versa-HD and Varian Edge linacs. A dose convolution-fitting method was provided to accurately measure the beam-on and beam-off time delays.
A_R and RMSE for the cosine curves were 0.9990-0.9996 and 0.110-0.241 mm for periods ranging from 1 s to 10 s and 0.9990-0.9994 and 0.059-0.175 mm for amplitudes ranging from 3 mm to 15 mm. The PCC for the actual respiratory curves ranged from 0.9955 to 0.9994, which was not significantly affected by breathing patterns. For gating radiotherapy, the average beam-on and beam-off time delays were 1664 ± 72 and 25 ± 30 ms for Versa-HD and 303 ± 45 and 34 ± 25 ms for Edge, respectively. The time delay was relatively stable as the beam hold time increased.
The OSI technique provides high accuracy for respiratory motion tracking. The proposed dose convolution-fitting method can accurately measure the time delay of respiratory-gating radiotherapy. When the OSI technique is used for respiratory-gating radiotherapy, the time delay for the beam-on is considerably longer than the beam-off.
表面引导放射治疗(SGRT)采用非侵入式实时光学表面成像(OSI)技术,用于监测放射治疗过程中的患者表面运动。本研究的主要目的是验证 SGRT 对呼吸运动的实时跟踪精度,并提供一种检测门控时间延迟的拟合方法。
使用 17 个具有不同周期和幅度的余弦呼吸模式曲线的呼吸运动体模来模拟呼吸运动。通过 Catalyst™系统对体模的运动进行跟踪。通过分析调整后的确定系数(A_R)和均方根误差(RMSE)来评估系统的跟踪精度(随周期和幅度变化)。此外,选择了 13 个实际的呼吸曲线,将其分为规则和不规则模式,然后通过体模进行模拟。对呼吸曲线进行傅里叶变换,并通过使用 Pearson 相关系数(PCC)对曲线相似性进行定量分析来比较跟踪精度。此外,使用 Elekta Versa-HD 和 Varian Edge 直线加速器的胶片剂量学测试了基于 OSI 系统的基于幅度的呼吸门控放射治疗的时间延迟,该系统具有不同的射束保持时间。提供了剂量卷积拟合方法,以准确测量射束开启和关闭的时间延迟。
对于余弦曲线,A_R 和 RMSE 分别为 0.9990-0.9996 和 0.110-0.241 mm,周期范围为 1 s 至 10 s,幅度范围为 0.9990-0.9994 和 0.059-0.175 mm。实际呼吸曲线的 PCC 范围为 0.9955 至 0.9994,不受呼吸模式的显著影响。对于门控放射治疗,Versa-HD 的平均射束开启和关闭时间延迟分别为 1664 ± 72 和 25 ± 30 ms,Edge 分别为 303 ± 45 和 34 ± 25 ms。随着射束保持时间的增加,时间延迟相对稳定。
OSI 技术为呼吸运动跟踪提供了高精度。所提出的剂量卷积拟合方法可以准确测量呼吸门控放射治疗的时间延迟。当 OSI 技术用于呼吸门控放射治疗时,射束开启的时间延迟明显长于射束关闭的时间延迟。