Preliminary investigation into sources of uncertainty in quantitative imaging features

Preliminary investigation into sources of uncertainty in quantitative imaging features
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DOI:
10.1016/j.compmedimag.2015.04.006
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发表时间:
2015-09-01
影响因子:
5.7
通讯作者:
Court, Laurence
Court, Laurence
中科院分区:
工程技术2区
文献类型:
--
作者:
Fave, Xenia;Cook, Molly;Court, Laurence

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最近的几项研究表明,定量影像学特征有可能将非小细胞肺癌(NSCLC)患者分为高风险或低风险。然而,由于成像技术和特征测量的差异,将结果从一个机构应用到另一个机构是困难的。我们的研究旨在确定这些不确定性来源对从非小细胞肺癌(NSCLC)肿瘤的计算机断层扫描(CT)图像中提取的图像特征的影响。获取20例非小细胞肺癌患者的CT图像,以研究四种不确定性来源的影响:两个感兴趣区域(ROI)选择条件(呼吸期和单片与全容积)和两个成像方案参数(峰值管电压和电流)。纹理值与呼吸阶段的选择没有实质性的变化;然而,与呼气结束阶段相比,从平均图像测量时,几乎一半(28人中有12人)的测量纹理确实发生了显著变化。在28个特征中,从最大横切面测量与整个肿瘤相比,8个特征表现出显著差异,但14个与整个肿瘤价值相关。虽然模拟管电压的降低对纹理特征的影响可以忽略不计,但模拟mA的降低导致23个纹理值中的13个发生了显著变化。我们的研究结果表明,在不同条件下测量纹理时存在实质性差异,因此纹理分析标准的开发将有助于比较患者和机构之间的特征。(C) 2015 Elsevier Ltd.版权所有。
Several recent studies have demonstrated the potential for quantitative imaging features to classify non-small cell lung cancer (NSCLC) patients as high or low risk. However applying the results from one institution to another has been difficult because of the variations in imaging techniques and feature measurement. Our study was designed to determine the effect of some of these sources of uncertainty on image features extracted from computed tomography (CT) images of non-small cell lung cancer (NSCLC) tumors. CT images from 20 NSCLC patients were obtained for investigating the impact of four sources of uncertainty: Two region of interest (ROI) selection conditions (breathing phase and single-slice vs. whole volume) and two imaging protocol parameters (peak tube voltage and current). Texture values did not vary substantially with the choice of breathing phase; however, almost half (12 out of 28) of the measured textures did change significantly when measured from the average images compared to the end-of-exhale phase. Of the 28 features, 8 showed a significant variation when measured from the largest cross sectional slice compared to the entire tumor, but 14 were correlated to the entire tumor value. While simulating a decrease in tube voltage had a negligible impact on texture features, simulating a decrease in mA resulted in significant changes for 13 of the 23 texture values. Our results suggest that substantial variation exists when textures are measured under different conditions, and thus the development of a texture analysis standard would be beneficial for comparing features between patients and institutions. (C) 2015 Elsevier Ltd. All rights reserved.