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Computed tomography density histogram analysis to evaluate pulmonary emphysema in ex-smokers

机译：计算断层扫描密度直方图分析，评估出免疫吸烟者肺肺气肿

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摘要

Rationale and Objectives: High-resolution computed tomography (CT) measurements of emphysema typically use Hounsfield unit (HU) density histogram thresholds or observer scores based on regions of low x-ray attenuation. Our objective was to develop an automated measurement of emphysema using principal component analysis (PCA) of the CT density histogram. Materials and Methods: Ninety-seven ex-smokers, including 53 subjects with chronic obstructive pulmonary disease (COPD) and 44 asymptomatic subjects (AEs), provided written informed consent to imaging as well as plethysmography and spirometry. We applied PCA to the CT density histogram to generate whole lung and regional density histogram principal components including the first and second components and the sum of both principal components (density histogram principal component score [DHPCS]). Significant relationships for DHPCS with single HU thresholds, pulmonary function measurements, an expert's emphysema score, and hyperpolarized 3He magnetic resonance imaging apparent diffusion coefficients (ADCs) were determined using linear regression and Pearson coefficients. Receiver operator characteristics analysis was performed using forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) as the independent diagnostic. Results: There was a significant difference (P .0001) between AE and COPD subjects for DHPCS; FEV1/FVC; diffusing capacity of lung for carbon monoxide%predicted; attenuation values below -950, -910, and -856 HU; and 3He ADCs. There were significant correlations for DHPCS with FEV1/FVC (r = -0.85, P .0001); diffusing capacity of lung for carbon monoxide%predicted (r = -0.67, P .0001); attenuation values below -950/-910/-856 HU (r = 0.93/0.96/0.76, P .0001); and 3He ADCs (r = 0.85, P .0001). Receiver operator characteristics analysis showed a 91% classification rate for DHPCS. Conclusions: We generated an automated emphysema score using PCA of the CT density histogram with a 91% COPD classification rate that showed strong and significant correlations with pulmonary function tests, single HU thresholds, and 3He magnetic resonance imaging ADCs. ? 2013 AUR.
机译：理由和目标：高分辨率计算断层扫描（CT）肺气肿的测量通常使用Hounsfield单元（HU）密度直方图阈值或观察者得分基于低X射线衰减的区域。我们的目的是使用CT密度直方图的主成分分析（PCA）来开发自动测量肺气肿。材料和方法：九十七名前吸烟者，其中包括慢性阻塞性肺病（COPD）和44个无症状受试者（AES）的53名受试者，提供了对成像和体积描记法和肺活量的书面知情同意。我们将PCA应用于CT密度直方图，以产生全肺和区域密度直方图主成分，包括第一和第二组分和主要成分的总和（密度直方图主成分分数[DHPCS]）。使用线性回归和Pearson系数测定对具有单HU阈值，肺功能测量，肺功能测量，专家的肺气肿和超极化3HE磁共振成像表观扩散系数（ADC）对DHPC的显着关系。使用强制呼气量（FEV1）/强制生命能力（FVC）作为独立诊断，进行接收器操作员特性分析。结果：DHPC的AE和COPD受试者之间存在显着差异（p＆ .0001）; FEV1 / FVC;肺部延伸能力为一氧化碳％预测;低于-950，-910和-856胡锦涛的衰减值;和3he adcs。具有FEV1 / FVC的DHPC（R = -0.85，P＆ .0001）对DHPC有显着相关性;肺部延伸能力为一氧化碳％预测（R = -0.67，P <.0001）;衰减值低于-950 / -910 / -856 hu（r = 0.93 / 0.96 / 0.76，p＆ 0.0001）;和3HE ADC（r = 0.85，p <.0001）。接收器操作员特性分析显示DHPC的91％分类率。结论：我们使用CT密度直方图的PCA产生了一种自动肺气肿分，具有91％的COPD分类率，显示出与肺功能测试，单HU阈值和3HE磁共振成像ADC的强烈和显着相关性。还2013年AUR。

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  • 来源
    《Academic radiology》 |2013年第5期|共9页
  • 作者

    OwrangiA.M.; Etemad-RezaiR.; McCormackD.G.; CunninghamI.A.; ParragaG.;

  • 作者单位

    Imaging Research Laboratories Robarts Research Institute 100 Perth Drive London N6A 5K8 Canada;

    Department of Medical Imaging The University of Western Ontario London Canada;

    Division of Respirology Department of Medicine The University of Western Ontario London Canada;

    Imaging Research Laboratories Robarts Research Institute 100 Perth Drive London N6A 5K8 Canada;

    Imaging Research Laboratories Robarts Research Institute 100 Perth Drive London N6A 5K8 Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 放射医学;
  • 关键词

    Computed tomography; COPD; Emphysema; Principal component analysis;

    机译：计算断层扫描;COPD;肺气肿;主要成分分析;

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