Mao Ronghu, Tian Lingling, Zhang You, Ren Lei, Gao Renqi, Yin Fang-Fang, Ge Hong
1 Department of Radiation Oncology, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Henan, China.
2 Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Technol Cancer Res Treat. 2017 Dec;16(6):1113-1119. doi: 10.1177/1533034617734689. Epub 2017 Oct 11.
The objective of this study is to theoretically and experimentally evaluate the dosimetry in the microscopic disease regions surrounding the tumor under stereotactic body radiation therapy of lung cancer.
For simplicity, the tumor was considered moving along 1 dimension with a periodic function. The probability distribution function of the tumor position was generated according to the motion pattern and was used to estimate the delivered dose in the microscopic disease region. An experimental measurement was conducted to validate both the estimated dose with a probability function and the calculated dose from 4-dimensional computed tomography data using a dynamic thorax phantom. Four tumor motion patterns were simulated with cos(x) and sin(x), each with 2 different amplitudes: 10 mm and 5 mm. A 7-field conformal plan was created for treatment delivery. Both films (EBT2) and optically stimulated luminescence detectors were inserted in and around the target of the phantom to measure the delivered doses. Dose differences were evaluated using gamma analysis with 3%/3 mm.
The average gamma index between measured doses using film and calculated doses using average intensity projection simulation computed tomography was 80.8% ± 0.9%. In contrast, between measured doses using film and calculated doses accumulated from 10 sets of 4-dimensional computed tomography data, it was 98.7% ± 0.6%. The measured doses using optically stimulated luminescence detectors matched very well (within 5% of the measurement uncertainty) with the theoretically calculated doses using probability distribution function at the corresponding position. Respiratory movement caused inadvertent irradiation exposure, with 70% to 80% of the dose line wrapped around the 10 mm region outside the target.
The use of static dose calculation in the treatment planning system could substantially underestimate the actual delivered dose in the microscopic disease region for a moving target. The margin for microscopic disease may be substantially reduced or even eliminated for lung stereotactic body radiation therapy.
本研究的目的是在肺癌立体定向体部放射治疗中,从理论和实验两方面评估肿瘤周围微观疾病区域的剂量学。
为简化起见,将肿瘤视为沿一维方向以周期函数运动。根据运动模式生成肿瘤位置的概率分布函数,并用于估计微观疾病区域的 delivered 剂量。进行了一项实验测量,以使用动态胸部体模验证具有概率函数的估计剂量和来自四维计算机断层扫描数据的计算剂量。用 cos(x) 和 sin(x) 模拟了四种肿瘤运动模式,每种模式有两种不同的振幅:10 毫米和 5 毫米。创建了一个 7 野适形计划用于治疗。将胶片(EBT2)和光激发发光探测器插入体模的靶区及其周围,以测量 delivered 剂量。使用 3%/3 毫米的伽马分析评估剂量差异。
使用胶片测量的剂量与使用平均强度投影模拟计算机断层扫描计算的剂量之间的平均伽马指数为 80.8%±0.9%。相比之下,使用胶片测量的剂量与从 10 组四维计算机断层扫描数据累积计算的剂量之间为 98.7%±0.6%。使用光激发发光探测器测量的剂量与在相应位置使用概率分布函数理论计算的剂量非常匹配(在测量不确定度的 5%以内)。呼吸运动导致意外照射暴露,剂量线的 70%至 80%包裹在靶区外 10 毫米区域周围。
在治疗计划系统中使用静态剂量计算可能会大幅低估移动靶区微观疾病区域的实际 delivered 剂量。对于肺部立体定向体部放射治疗,微观疾病的边界可能会大幅减少甚至消除。