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使用吸气到呼气计算机断层扫描估计小气道疾病的新方法。

A Novel Method of Estimating Small Airway Disease Using Inspiratory-to-Expiratory Computed Tomography.

机构信息

UBC Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, BC, Canada.

出版信息

Respiration. 2017;94(4):336-345. doi: 10.1159/000478865. Epub 2017 Aug 23.

Abstract

BACKGROUND

Disease accumulates in the small airways without being detected by conventional measurements.

OBJECTIVES

To quantify small airway disease using a novel computed tomography (CT) inspiratory-to-expiratory approach called the disease probability measure (DPM) and to investigate the association with pulmonary function measurements.

METHODS

Participants from the population-based CanCOLD study were evaluated using full-inspiration/full-expiration CT and pulmonary function measurements. Full-inspiration and full-expiration CT images were registered, and each voxel was classified as emphysema, gas trapping (GasTrap) related to functional small airway disease, or normal using two classification approaches: parametric response map (PRM) and DPM (VIDA Diagnostics, Inc., Coralville, IA, USA).

RESULTS

The participants included never-smokers (n = 135), at risk (n = 97), Global Initiative for Chronic Obstructive Lung Disease I (GOLD I) (n = 140), and GOLD II chronic obstructive pulmonary disease (n = 96). PRMGasTrap and DPMGasTrap measurements were significantly elevated in GOLD II compared to never-smokers (p < 0.01) and at risk (p < 0.01), and for GOLD I compared to at risk (p < 0.05). Gas trapping measurements were significantly elevated in GOLD II compared to GOLD I (p < 0.0001) using the DPM classification only. Overall, DPM classified significantly more voxels as gas trapping than PRM (p < 0.0001); a spatial comparison revealed that the expiratory CT Hounsfield units (HU) for voxels classified as DPMGasTrap but PRMNormal (PRMNormal- DPMGasTrap = -785 ± 72 HU) were significantly reduced compared to voxels classified normal by both approaches (PRMNormal-DPMNormal = -722 ± 89 HU; p < 0.0001). DPM and PRMGasTrap measurements showed similar, significantly associations with forced expiratory volume in 1 s (FEV1) (p < 0.01), FEV1/forced vital capacity (p < 0.0001), residual volume/total lung capacity (p < 0.0001), bronchodilator response (p < 0.0001), and dyspnea (p < 0.05).

CONCLUSION

CT inspiratory-to-expiratory gas trapping measurements are significantly associated with pulmonary function and symptoms. There are quantitative and spatial differences between PRM and DPM classification that need pathological investigation.

摘要

背景

传统测量方法无法检测到小气道疾病的累积。

目的

使用一种新的计算机断层扫描(CT)吸气到呼气方法(称为疾病概率测量(DPM))来量化小气道疾病,并研究其与肺功能测量的相关性。

方法

从基于人群的 CanCOLD 研究中选取参与者,使用全吸气/全呼气 CT 和肺功能测量进行评估。对全吸气和全呼气 CT 图像进行配准,使用两种分类方法(参数响应图(PRM)和 DPM(VIDA Diagnostics,Inc.,Coralville,IA,USA))对每个体素进行分类,分类为肺气肿、与功能性小气道疾病相关的气体潴留(GasTrap)或正常。

结果

参与者包括从不吸烟者(n = 135)、有风险者(n = 97)、慢性阻塞性肺疾病全球倡议 I 期(GOLD I)(n = 140)和 GOLD II 慢性阻塞性肺疾病(n = 96)。与从不吸烟者(p < 0.01)和有风险者(p < 0.01)相比,GOLD II 患者的 PRMGasTrap 和 DPMGasTrap 测量值显著升高,与有风险者相比,GOLD I 患者的测量值也显著升高(p < 0.05)。仅使用 DPM 分类,GOLD II 患者的气体潴留测量值显著高于 GOLD I(p < 0.0001)。总体而言,DPM 分类为气体潴留的体素明显多于 PRM(p < 0.0001);空间比较显示,被 DPM 分类为 GasTrap 但被 PRM 分类为 Normal 的体素的 CT 呼气 HU(DPMNormal-PRMNormal = -785 ± 72 HU)明显低于两种方法均分类为 Normal 的体素(PRMNormal-DPMNormal = -722 ± 89 HU;p < 0.0001)。DPM 和 PRMGasTrap 测量值与 1 秒用力呼气量(FEV1)(p < 0.01)、FEV1/用力肺活量(p < 0.0001)、残气量/总肺容量(p < 0.0001)、支气管扩张剂反应(p < 0.0001)和呼吸困难(p < 0.05)均呈显著相关。

结论

CT 吸气到呼气气体潴留测量与肺功能和症状显著相关。PRM 和 DPM 分类之间存在定量和空间差异,需要进行病理学研究。

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