Channing Division of Network Medicine, Boston, MA; Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang-Si, Gyeonggi-do, South Korea.
Channing Division of Network Medicine, Boston, MA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Chest. 2020 Jan;157(1):47-60. doi: 10.1016/j.chest.2019.06.015. Epub 2019 Jul 5.
Multiple studies have identified COPD subtypes by using visual or quantitative evaluation of CT images. However, there has been no systematic assessment of a combined visual and quantitative CT imaging classification. We integrated visually defined patterns of emphysema with quantitative imaging features and spirometry data to produce a set of 10 nonoverlapping CT imaging subtypes, and we assessed differences between subtypes in demographic features, physiological characteristics, longitudinal disease progression, and mortality.
We evaluated 9,080 current and former smokers in the COPDGene study who had available volumetric inspiratory and expiratory CT images obtained using a standardized imaging protocol. We defined 10 discrete, nonoverlapping CT imaging subtypes: no CT imaging abnormality, paraseptal emphysema (PSE), bronchial disease, small airway disease, mild emphysema, upper lobe predominant centrilobular emphysema (CLE), lower lobe predominant CLE, diffuse CLE, visual without quantitative emphysema, and quantitative without visual emphysema. Baseline and 5-year longitudinal characteristics and mortality were compared across these CT imaging subtypes.
The overall mortality differed significantly between groups (P < .01) and was highest in the 3 moderate to severe CLE groups. Subjects having quantitative but not visual emphysema and subjects with visual but not quantitative emphysema were unique groups with mild COPD, at risk for progression, and with likely different underlying mechanisms. Subjects with PSE and/or moderate to severe CLE had substantial progression of emphysema over 5 years compared with findings in subjects with no CT imaging abnormality (P < .01).
The combination of visual and quantitative CT imaging features reflects different underlying pathological processes in the heterogeneous COPD syndrome and provides a useful approach to reclassify types of COPD.
ClinicalTrials.gov; No.: NCT00608764; URL: www.clinicaltrials.gov.
多项研究通过对 CT 图像进行视觉或定量评估,确定了 COPD 亚型。然而,尚未对综合视觉和定量 CT 成像分类进行系统评估。我们将视觉定义的肺气肿模式与定量成像特征和肺量计数据相结合,生成了一组 10 个不重叠的 CT 成像亚型,并评估了亚型之间在人口统计学特征、生理特征、纵向疾病进展和死亡率方面的差异。
我们评估了 COPDGene 研究中 9080 名现吸烟者和前吸烟者,他们均具有使用标准化成像方案获得的容积吸气和呼气 CT 图像。我们定义了 10 种离散、不重叠的 CT 成像亚型:无 CT 成像异常、间隔旁肺气肿(PSE)、支气管疾病、小气道疾病、轻度肺气肿、上叶为主的中央小叶肺气肿(CLE)、下叶为主的 CLE、弥漫性 CLE、无视觉但有定量肺气肿、无定量但有视觉肺气肿。比较了这些 CT 成像亚型的基线和 5 年纵向特征以及死亡率。
各组之间的总体死亡率差异显著(P<.01),且 3 个中重度 CLE 组的死亡率最高。具有定量但无视觉肺气肿的患者和具有视觉但无定量肺气肿的患者是具有轻度 COPD、进展风险高且可能具有不同潜在机制的独特人群。与无 CT 成像异常的患者相比,PSE 和/或中重度 CLE 的患者在 5 年内肺气肿进展显著(P<.01)。
视觉和定量 CT 成像特征的结合反映了异质性 COPD 综合征中不同的潜在病理过程,为重新分类 COPD 类型提供了一种有用的方法。
ClinicalTrials.gov;编号:NCT00608764;网址:www.clinicaltrials.gov。