An Exploratory Radiomics Approach to Quantifying Pulmonary Function in CT Images

An Exploratory Radiomics Approach to Quantifying Pulmonary Function in CT Images
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DOI:
10.1038/s41598-019-48023-5
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发表时间:
2019-08-08
期刊:
影响因子:
4.6
通讯作者:
Yin, Fang-Fang
Yin, Fang-Fang
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Lafata, Kyle J.;Zhou, Zhennan;Yin, Fang-Fang

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现代医学成像正变得越来越量化。新兴的放射组学领域就是一个主要的例子。通过转换非结构化数据(即,图像)转换为结构化数据(即,成像特征),放射组学可以潜在地表征临床上有用的成像表型。在本文中,一个探索性的放射组学的方法是用来调查的定量成像功能和肺功能之间的潜在关联的CT图像。从64例患者的肺部提取39个放射组学特征作为肺功能的潜在成像生物标志物。总的来说,这些特征捕获肺的形态,以及肺组织的强度变化、精细纹理和粗糙纹理。将提取的肺放射组学数据与常规肺功能测试进行比较。一般而言,发现具有均匀、低衰减肺组织的较大肺的患者(如通过放射组学测量的)与较差的肺功能测定性能和较低的一氧化碳弥散能力相关。无监督的动态数据聚类显示,具有相似肺放射性模式的患者子集与相似的一秒用力呼气量(FEV1)测量值相关。这意味着具有相似放射组学特征向量的患者也表现出相当的肺活量测定性能,并且可以通过成像测量的不同程度的肺功能进行分离。
Contemporary medical imaging is becoming increasingly more quantitative. The emerging field of radiomics is a leading example. By translating unstructured data (i.e., images) into structured data (i.e., imaging features), radiomics can potentially characterize clinically useful imaging phenotypes. In this paper, an exploratory radiomics approach is used to investigate the potential association between quantitative imaging features and pulmonary function in CT images. Thirty-nine radiomic features were extracted from the lungs of 64 patients as potential imaging biomarkers for pulmonary function. Collectively, these features capture the morphology of the lungs, as well as intensity variations, fine-texture, and coarse-texture of the pulmonary tissue. The extracted lung radiomics data was compared to conventional pulmonary function tests. In general, patients with larger lungs of homogeneous, low attenuating pulmonary tissue (as measured via radiomics) were found to be associated with poor spirometry performance and a lower diffusing capacity for carbon monoxide. Unsupervised dynamic data clustering revealed subsets of patients with similar lung radiomic patterns that were found to be associated with similar forced expiratory volume in one second (FEV1) measurements. This implies that patients with similar radiomic feature vectors also presented with comparable spirometry performance, and were separable by varying degrees of pulmonary function as measured by imaging.