University of British Columbia, Vancouver, British Columbia, Canada.
Weill Cornell Medical College, New York, New York.
Am J Respir Crit Care Med. 2019 Sep 1;200(5):575-581. doi: 10.1164/rccm.201811-2083OC.
Evidence suggests damage to small airways is a key pathologic lesion in chronic obstructive pulmonary disease (COPD). Computed tomography densitometry has been demonstrated to identify emphysema, but no such studies have been performed linking an imaging metric to small airway abnormality. To correlate parametric response mapping (PRM) analysis to lung tissue measurements of patients with severe COPD treated by lung transplantation and control subjects. Resected lungs were inflated, frozen, and systematically sampled, generating 33 COPD ( = 11 subjects) and 22 control tissue samples ( = 3 subjects) for micro-computed tomography analysis of terminal bronchioles (TBs; last generation of conducting airways) and emphysema. PRM analysis was conducted to differentiate functional small airways disease (PRM) from emphysema (PRM). In COPD lungs, TB numbers were reduced ( = 0.01); surviving TBs had increased wall area percentage ( < 0.001), decreased circularity ( < 0.001), reduced cross-sectional luminal area ( < 0.001), and greater airway obstruction ( = 0.008). COPD lungs had increased airspace size ( < 0.001) and decreased alveolar surface area ( < 0.001). Regression analyses demonstrated unique correlations between PRM and TBs, with decreased circularity ( < 0.001), decreased luminal area ( < 0.001), and complete obstruction ( = 0.008). PRM correlated with increased airspace size ( < 0.001), decreased alveolar surface area ( = 0.003), and fewer alveolar attachments per TB ( = 0.01). PRM identifies areas of lung tissue with TB loss, luminal narrowing, and obstruction. This is the first confirmation that an imaging biomarker can identify terminal bronchial pathology in established COPD and provides a noninvasive imaging methodology to identify small airway damage in COPD.
有证据表明,小气道损伤是慢性阻塞性肺疾病(COPD)的关键病理病变。计算机断层密度测定已被证明可识别肺气肿,但尚无此类研究将影像学指标与小气道异常联系起来。本研究旨在将参数响应映射(PRM)分析与接受肺移植治疗的严重 COPD 患者和对照患者的肺组织测量结果相关联。切除的肺组织被充气、冷冻,并进行系统取样,为小气道疾病(PRM)与肺气肿(PRM)的区分,对终末细支气管(TB;传导气道的最后一代)和肺气肿进行了 33 例 COPD( = 11 例)和 22 例对照组织样本( = 3 例)的微计算机断层扫描分析。进行 PRM 分析以区分功能性小气道疾病(PRM)和肺气肿(PRM)。在 COPD 肺中,TB 数量减少( = 0.01);存活的 TB 具有更大的壁面积百分比( < 0.001)、更小的圆度( < 0.001)、更小的横截面积( < 0.001)和更大的气道阻塞( = 0.008)。COPD 肺中存在更大的气腔尺寸( < 0.001)和更小的肺泡表面积( < 0.001)。回归分析表明,PRM 与 TB 之间存在独特的相关性,表现为圆度降低( < 0.001)、管腔面积减小( < 0.001)和完全阻塞( = 0.008)。PRM 与气腔尺寸增大( < 0.001)、肺泡表面积减小( = 0.003)和每个 TB 的肺泡附着数量减少( = 0.01)相关。PRM 可识别 TB 丢失、管腔变窄和阻塞的肺组织区域。这是首次证实影像学生物标志物可识别已确诊 COPD 中的终末支气管病理学,并提供了一种非侵入性的影像学方法来识别 COPD 中的小气道损伤。