Reproducibility of radiomics for deciphering tumor phenotype with imaging.
Reproducibility of radiomics for deciphering tumor phenotype with imaging.
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DOI：
10.1038/srep23428
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发表时间：
2016-03-24
影响因子：
4.6
通讯作者：
Schwartz LH
中科院分区：
文献类型：
--
作者：
Zhao B;Tan Y;Tsai WY;Qi J;Xie C;Lu L;Schwartz LH
放射组学（放射基因组学）基于来自常规放射成像的定量图像特征来表征肿瘤表型，以改善癌症诊断、预后、预测和治疗反应。尽管放射组学特征必须是可再现的，才有资格作为临床护理的生物标志物，但关于常规成像采集技术/参数如何影响可再现性知之甚少。为了开始填补这一知识空白，我们评估了一个全面的，常用的放射组学特征集使用一个独特的，同一天重复计算机断层扫描数据集肺癌患者的再现性。在6种成像设置、不同切片厚度（1.25 mm、2.5 mm和5 mm）和重建算法（锐化、平滑）下重建每次扫描。使用在相同成像设置（共6个设置）下重建的重复扫描评估再现性。在单独的分析中，我们通过评估从相同切片厚度但不同算法（共3种设置）重建的重复扫描中提取的这些放射组学特征的一致性，探索了由于不同成像参数导致的放射组学特征差异。我们的数据表明，放射组学特征在广泛的成像设置范围内是可重复的。然而，平滑和锐化重建算法不应互换使用。这些发现将提高人们对放射组学/放射基因组学研究中正确设置成像采集参数的重要性的认识。
Radiomics (radiogenomics) characterizes tumor phenotypes based on quantitative image features derived from routine radiologic imaging to improve cancer diagnosis, prognosis, prediction and response to therapy. Although radiomic features must be reproducible to qualify as biomarkers for clinical care, little is known about how routine imaging acquisition techniques/parameters affect reproducibility. To begin to fill this knowledge gap, we assessed the reproducibility of a comprehensive, commonly-used set of radiomic features using a unique, same-day repeat computed tomography data set from lung cancer patients. Each scan was reconstructed at 6 imaging settings, varying slice thicknesses (1.25 mm, 2.5 mm and 5 mm) and reconstruction algorithms (sharp, smooth). Reproducibility was assessed using the repeat scans reconstructed at identical imaging setting (6 settings in total). In separate analyses, we explored differences in radiomic features due to different imaging parameters by assessing the agreement of these radiomic features extracted from the repeat scans reconstructed at the same slice thickness but different algorithms (3 settings in total). Our data suggest that radiomic features are reproducible over a wide range of imaging settings. However, smooth and sharp reconstruction algorithms should not be used interchangeably. These findings will raise awareness of the importance of properly setting imaging acquisition parameters in radiomics/radiogenomics research.