论著摘要 |【PET】肺癌的常规和呼吸门控PET / CT图像计算的图像特征的变异性(双语版)

2017-12-27 17:00:01 admin 0

Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer.

发表日期: 2015.11.13   来源:Translational Oncology. 2015 Dec;8(6):524-34.

作者:

Oliver JA1, Budzevich M2 , Zhang GG1, Dilling TJ2, Latifi K1, Moros EG3.

作者介绍:

1. Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA; Department of Physics, University of South Florida, Tampa, FL, USA.

2. Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA.

3. Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA; Department of Physics, University of South Florida, Tampa, FL, USA. Electronic address: Eduardo.moros@moffitt.org.

摘要

目前正在研究放射治疗的潜在应用。各种成像协议如何影响定量图像特征目前是一个非常活跃的研究领域。为了评估肺癌患者的传统【三维(3D)】]和呼吸门控(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,我们从23位肺癌患者计算机提取图像特征。在相同的成像过程中获得了每个患者的两种方案。使用适应性技术对PET肿瘤体积进行分段。CT肿瘤体积用商业分割工具描绘。使用RG PET图像,计算质量运动,长度和旋转的肿瘤中心。从形状描述符,一阶特征和二阶纹理特征组成的图像中提取了56个图像特征。总体而言,CT和PET的3D和RG方案分别占总功能的26.6%和26.2%,差异不到5%。PET的10个RG阶段之间,53.4%的特征表现出差异不到5%的差异。PET变异性最小的特征是球形不平衡,熵(一阶和二阶),和熵,相关信息测度2,短运行强度(SRE),长运行强度(LRE)和运行百分比(RPC);CT为最小强度,平均强度,均方根(RMS),短跑强度(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)提供了显着不同的图像特征值。这项研究表明,3D和RG特征之间的变化主要是由于呼吸运动的影响。

Abstact

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.

阅读原文:PMID: 26692535  PMCID: PMC4700295   DOI: 10.1016/j.tranon.2015.11.013


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