Site-specific volumetric analysis of lung tumour motion.
Site-specific volumetric analysis of lung tumour motion.
复制标题
肺肿瘤运动的位点特异性体积分析。
DOI：
10.1088/0031-9155/55/12/005
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发表时间：
2010
影响因子：
3.5
通讯作者：
Shirato,Hiroki
中科院分区：
文献类型：
--
作者：
Pepin,EricW;Wu,Huanmei;Sandison,GeorgeA;Langer,Mark;Shirato,Hiroki
肺癌的放射治疗受到呼吸运动的阻碍。为了补偿这种运动而进行的实时调整受到机械系统延迟和成像速率限制的阻碍。为了更好地了解肺癌自适应图像引导放射治疗中的肿瘤运动行为，研究了肿瘤运动空间的体积。在治疗过程中，通过使用30赫兹的荧光透视跟踪植入的基准来收集运动数据。在这项研究中使用了来自31个肿瘤的637个处理组分。对于每个部分，从连续三个呼吸周期收集的数据点被用来识别瞬时肿瘤位置。在这些数据点上创建凸壳，定义肿瘤运动包络。这项研究寻求肺内肿瘤的位置与凸壳的体积和形状之间的相关性。结果发现，位于上心尖部的肿瘤有较小的运动包膜(<；50mm3)，而位于胸壁或隔膜附近的肿瘤有较大的包膜(>；70mm3)。附着在固定解剖结构上的肿瘤有很小的运动空间。描述肿瘤运动包膜的一般形状有三种：50%的运动包络以一维振荡为主，38%的运动包络围绕椭圆形路径，6%的运动包络围绕弧形路径，6%的运动包络呈混合形状。这种位置-空间相关性表明，它可能有助于开发预测模型，但需要做更多的工作来验证它。
The treatment of lung cancer with radiation therapy is hindered by respiratory motion. Real-time adjustments to compensate for this motion are hampered by mechanical system latencies and imaging-rate restrictions. To better understand tumour motion behaviour for adaptive image-guided radiation therapy of lung cancer, the volume of a tumour's motion space was investigated. Motion data were collected by tracking an implanted fiducial using fluoroscopy at 30 Hz during treatment sessions. A total of 637 treatment fractions from 31 tumours were used in this study. For each fraction, data points collected from three consecutive breathing cycles were used to identify instantaneous tumour location. A convex hull was created over these data points, defining the tumour motion envelope. The study sought a correlation between the tumour location in the lung and the convex hull's volume and shape. It was found that tumours located in the upper apex had smaller motion envelopes (< 50 mm 3), whereas tumours located near the chest wall or diaphragm had larger envelopes (> 70 mm 3). Tumours attached to fixed anatomical structures had small motion spaces. Three general shapes described the tumour motion envelopes: 50% of motion envelopes enclosed largely 1D oscillation, 38% enclosed an ellipsoid path, 6% enclosed an arced path and 6% were of hybrid shape. This location–space correlation suggests it may be useful in developing a predictive model, but more work needs to be done to verify it.