Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer.
Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer.
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DOI：
10.1016/j.tranon.2015.11.013
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发表时间：
2015-12
影响因子：
5
通讯作者：
Moros EG
中科院分区：
文献类型：
--
作者：
Oliver JA;Budzevich M;Zhang GG;Dilling TJ;Latifi K;Moros EG
放射组学正在探索在放射治疗中的潜在应用。各种成像协议如何影响定量图像特征是当前高度活跃的研究领域。为了评估肺癌患者的常规[三维（3D）]和放射性门控（RG）正电子发射断层扫描（PET）/计算机断层扫描（CT）图像的图像特征的变异性，对23例肺癌患者的图像特征进行了计算。每例患者的两个方案均在同一成像会话期间采集。PET肿瘤体积分割使用自适应技术，占背景。用商业分割工具描绘CT肿瘤体积。使用RG PET图像，计算肿瘤质心运动、长度和旋转。从所有图像中提取了五十六种图像特征，包括形状描述符、一阶特征和二阶纹理特征。总体而言，CT和PET的3D和RG协议之间分别有26.6%和26.2%的总特征差异小于5%。在PET的10个RG阶段之间，53.4%的特征显示百分比差异小于5%。PET的变异性最小的特征是球形度、球形不成比例、熵（一阶和二阶）、和熵、相关性信息度量2、短期强调（SRE）、长期强调（LRE）和运行百分比（RPC）; CT的变异性最小的特征是最小强度、平均强度、均方根（RMS）、短期强调（SRE）和RPC。使用3D采集与RG采集的定量分析（以减少运动的影响）提供了明显不同的图像特征值。这项研究表明，3D和RG功能之间的变化主要是由于呼吸运动的影响。
Radiomics is being explored for potential applications in radiation therapy. How various imaging protocols affect quantitative image features is currently a highly active area of research. To assess the variability of image features derived from conventional [three-dimensional (3D)] and respiratory-gated (RG) positron emission tomography (PET)/computed tomography (CT) images of lung cancer patients, image features were computed from 23 lung cancer patients. Both protocols for each patient were acquired during the same imaging session. PET tumor volumes were segmented using an adaptive technique which accounted for background. CT tumor volumes were delineated with a commercial segmentation tool. Using RG PET images, the tumor center of mass motion, length, and rotation were calculated. Fifty-six image features were extracted from all images consisting of shape descriptors, first-order features, and second-order texture features. Overall, 26.6% and 26.2% of total features demonstrated less than 5% difference between 3D and RG protocols for CT and PET, respectively. Between 10 RG phases in PET, 53.4% of features demonstrated percent differences less than 5%. The features with least variability for PET were sphericity, spherical disproportion, entropy (first and second order), sum entropy, information measure of correlation 2, Short Run Emphasis (SRE), Long Run Emphasis (LRE), and Run Percentage (RPC); and those for CT were minimum intensity, mean intensity, Root Mean Square (RMS), Short Run Emphasis (SRE), and RPC. Quantitative analysis using a 3D acquisition versus RG acquisition (to reduce the effects of motion) provided notably different image feature values. This study suggests that the variability between 3D and RG features is mainly due to the impact of respiratory motion.