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Geometrical differences in gross target volumes between 3DCT and 4DCT imaging in radiotherapy for non-small-cell lung cancer

机译:非小细胞肺癌放疗中3DCT和4DCT成像之间总靶体积的几何差异

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A total of 28 patients with peripheral NSCLC underwent 4DCT simulation for treatment planning between September 2009 and July 2010 in Shandong Cancer Hospital and Institute. Pathology demonstrated adenocarcinoma in 21 patients, squamous cell carcinoma in 6 patients, and adenosquamous carcinoma in 1 patient. The patients included 19 men and 9 women, and had a median age of 60 (range, 39–80). The T stage, according to the TNM classification of AJCC (7th edn, 2009), was classified as T1 in 17 patients, T2 in 7 patients and T3 in 4 patients. The patients were divided in two groups: those with lesions located in the upper lobe (16 patients) belonging to Group A, while those with lesions located in the middle lobe (3 patients) or in the lower lobe (9 patients) were combined to make up Group B. All patients provided written informed consent prior to treatment planning. Vacuum bags were used to immobilize all patients in the supine position with arms raised above the head. For each person, an axial 3DCT scan of the thoracic region was performed, followed by a 4DCT scan during uncoached free breathing on a 16-slice CT scanner (Philips Brilliance Bores CT). For 3DCT scanning, each scan (360° rotation) took 1 s to acquire, followed by a 1.8 s dead time, with a 2.4-cm coverage. The whole axial 3DCT scanning procedure for the thoracic region took about 30 s. The 4D acquisition protocol has been described in our previous study [17]. The 4DCT images were sorted into 10 bins according to the phase of the breathing signal, with 0% corresponding to end-inhalation and 50% corresponding to end-exhalation. Both the 3DCT and 4DCT images were reconstructed using a thickness of 3 mm, and then transferred to the Eclipse treatment planning system (Varian Eclipse 8.6). GTVs were manually delineated on the 10 phases of the 4DCT images and the 3DCT image by a radiation oncologist using the lung window setting (window width: 1600 HU and window level: –600 HU) [18]. ‘Partial volume effect' and ‘partial projection effect for moving objects' on 3DCT and 4DCT manifest as blurring of object boundaries. The entire blurred extent of the tumor was delineated as the GTV. Because the 3DCT images and the 4DCT images for a given person were produced during the same imaging session, Eclipse considers the images as being registered with each other. Firstly, GTV-0%, GTV-20% and GTV-70% derived from end-inspiration (0% phase), mid-expiration (20% phase) and mid-inspiration (70% phase) images were copied onto the end-expiration (50% phase) image (Fig. 1), then, the IGTV-10, encompassing all of these 4DCT-based GTVs, was produced on the end-expiration image by merging the 10 GTVs derived from all phases of 4DCT; lastly, the GTV-3D, derived from 3DCT, was copied onto the end-expiration image. Volume, position, matching index (MI) and degree of inclusion (DI) between the 4D volumes (GTV-0%, GTV-20%, GTV-50%, GTV-70% and IGTV-10) and the 3D volume (GTV-3D) were compared, respectively. The position for each tumor was expressed using the x (left-right, LR), y (anterior-posterior, AP) and z (cranial-caudal, CC) coordinates of the center of mass for each bin for 4DCT. Then, the intra-fractional motion range of the center of mass in each coordinate was obtained. The 3D motion vector of the center of mass was calculated according to the formula as follows: Statistical analysis was performed using the SPSS software package (SPSS 16.0 for Windows). A one-way ANOVA test was used to determine the variations in the centroid shifts and the MIs of GTV-3D and GTV-0%, GTV-3D and GTV-20%, GTV-3D and GTV-50%, and GTV-3D and GTV-70%. The paired t-test was used to determine paired data variables. The wilcoxon test was performed to test data for Group A and Group B variables. We used the Pearson correlation test to analyze for associations between GTV motion vectors and continuous variables (e.g. size, MI and DI). Values of P 0.05 were regarded as significant for all the tests. The mean of the average size of GTVs from 10 phases for all patient were 7.96 ± 10.59 cm3 (range, 0.32–37.08 cm3). The mean of the standard deviation (SD) of GTVs from 10 phases for all patients was 0.51 ± 0.75 cm3 (range, 0.02–3.4 cm3). The mean coefficient of variation (SD/Mean) of GTVs was 8.76% ± 6.47% (range, 1.94–23.73%). Figure 3 illustrates the tumor motion in the LR, AP, CC and 3D directions for each patient. The mean tumor motion amplitudes were 1.6 ± 1.0 mm, 2.1 ± 1.1 mm, 4.0 ± 3.9 mm and 5.2 ± 3.5 mm in the LR, AP, CC and 3D directions, respectively. The tumor motion in the LR, AP and CC directions were 1.4 ± 0.8 mm, 1.8 ± 1.0 mm and 1.8 ± 1.8 mm for Group A, and 1.8 ± 1.3 mm, 2.5 ± 1.1 mm and 6.9 ± 4.0 mm for Group B, respectively. The mean 3D motion vector was 3.2 ± 1.7 mm for Group A, and 8.0 ± 3.5 mm for Group B, with a significant statistical difference (z = 0.667, P 0.001). Table 1 shows the centroid shifts in the LR, AP, CC and 3D
机译:2009年9月至2010年7月之间,共有28例周围型非小细胞肺癌患者接受了4DCT模拟,以制定治疗计划。病理显示腺癌21例,鳞状细胞癌6例,腺鳞癌1例。患者包括19名男性和9名女性,中位年龄为60岁(范围39-80)。根据AJCC的TNM分类(第7版,2009年),T期分为17例患者为T1,7例患者为T2,4例患者为T3。将患者分为两组:病变位于A组上叶(16例),而病变位于中叶(3例)或下叶(9例)。组成B组。所有患者在进行治疗计划之前均提供了书面知情同意书。真空袋用于将所有患者仰卧固定,手臂抬高到头部上方。对于每个人,在16层CT扫描仪(Philips Brilliance Bores CT)上进行无教练自由呼吸时,对胸部区域进行轴向3DCT扫描,然后进行4DCT扫描。对于3DCT扫描,每次扫描(360°旋转)需要1 s的时间来获取,然后是1.8 s的停滞时间,覆盖范围为2.4 cm。整个胸腔轴向3DCT扫描过程大约需要30 s。 4D采集协议已在我们之前的研究中描述过[17]。根据呼吸信号的相位将4DCT图像分类为10个区间,其中0%对应于最终吸气,而50%对应于最终呼气。使用3 mm的厚度重建3DCT和4DCT图像,然后将其传输到Eclipse处理计划系统(Varian Eclipse 8.6)。放射肿瘤学家使用肺部窗口设置(窗口宽度:1600 HU和窗口水平:–600 HU)在4DCT图像和3DCT图像的10个相位上手动描绘GTV [18]。 3DCT和4DCT上的“部分体积效应”和“移动物体的局部投影效应”表现为物体边界的模糊。肿瘤的整个模糊程度被描绘为GTV。因为给定人员的3DCT图像和4DCT图像是在同一成像会话期间生成的,所以Eclipse认为这些图像是彼此注册的。首先,将来自最终吸气(0%相位),呼气中期(20%相位)和吸气中(70%相位)图像的GTV-0%,GTV-20%和GTV-70%复制到最后-呼气(50%相位)图像(图1),然后,通过合并源自4DCT所有相位的10个GTV,在呼气末图像上生成包含所有这些基于4DCT的GTV的IGTV-10。最后,将源自3DCT的GTV-3D复制到期满图像上。 4D体积(GTV-0%,GTV-20%,GTV-50%,GTV-70%和IGTV-10)与3D体积之间的体积,位置,匹配指数(MI)和包含度(DI) GTV-3D)分别进行了比较。每个肿瘤的位置均使用4DCT每个单元的质心的x(左-右,LR),y(前-后,AP)和z(颅尾-CC)坐标表示。然后,获得每个坐标中质心的分数内运动范围。根据以下公式,计算质心的3D运动向量:使用SPSS软件包(对于Windows为SPSS 16.0)进行统计分析。使用单向方差分析测试确定GTV-3D和GTV-0%,GTV-3D和GTV-20%,GTV-3D和GTV-50%以及GTV- 3D和GTV-70%。配对t检验用于确定配对数据变量。进行了wilcoxon检验以测试A组和B组变量的数据。我们使用了Pearson相关检验来分析GTV运动矢量与连续变量(例如大小,MI和DI)之间的关联。在所有测试中,P <0.05的值均视为显着。所有患者的10个阶段的GTV的平均大小平均值为7.96±10.59 cm 3 (范围0.32–37.08 cm 3 )。所有患者的10个阶段的GTV的标准差(SD)平均值为0.51±0.75 cm 3 (范围为0.02–3.4 cm 3 )。 GTV的平均变异系数(SD /均值)为8.76%±6.47%(范围1.94–23.73%)。图3示出了每个患者在LR,AP,CC和3D方向上的肿瘤运动。在LR,AP,CC和3D方向上,平均肿瘤运动幅度分别为1.6±1.0 mm,2.1±1.1 mm,4.0±3.9 mm和5.2±3.5 mm。 A组的肿瘤在LR,AP和CC方向上的运动分别为1.4±0.8 mm,1.8±1.0 mm和1.8±1.8 mm,B组的分别为1.8±1.3 mm,2.5±1.1 mm和6.9±4.0 mm 。 A组的平均3D运动矢量为3.2±1.7 mm,B组的平均3D运动矢量为8.0±3.5 mm,具有显着的统计学差异(z = 0.667,P <0.001)。表1显示了LR,AP,CC和3D中的质心偏移

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