UNASSIGNED: Participants of the prospective nationwide COSYCONET cohort study with paired inspiratory-expiratory CT were included. Fully automatic software, developed in-house, segmented arterial and venous pulmonary vessels and quantified volume and tortuosity on inspiratory and expiratory scans. The association between vessel volume normalised to lung volume and tortuosity versus lung function (forced expiratory volume in 1 sec [FEV1]), air trapping (residual volume to total lung capacity ratio [RV/TLC]), transfer factor for carbon monoxide (TLCO), disease severity in terms of Global Initiative for Chronic Obstructive Lung Disease (GOLD) group D, and mortality were analysed by linear, logistic or Cox proportional hazard regression.
UNASSIGNED: Complete data were available from 138 patients (39% female, mean age 65 years). FEV1, RV/TLC and TLCO, all as % predicted, were significantly (p < 0.05 each) associated with expiratory vessel characteristics, predominantly venous volume and arterial tortuosity. Associations with inspiratory vessel characteristics were absent or negligible. The patterns were similar for relationships between GOLD D and mortality with vessel characteristics. Expiratory venous volume was an independent predictor of mortality, in addition to FEV1.
UNASSIGNED: By using automated software in patients with COPD, clinically relevant information on pulmonary vasculature can be extracted from expiratory CT scans (although not inspiratory scans); in particular, expiratory pulmonary venous volume predicted mortality.
UNASSIGNED: NCT01245933.
■纳入具有配对吸气-呼气CT的前瞻性全国性COSYCONET队列研究的参与者。全自动软件,内部开发,分段的动脉和静脉肺血管以及吸气和呼气扫描的量化体积和弯曲度。与肺体积标准化的血管体积和弯曲度与肺功能之间的关联(1秒内用力呼气量[FEV1]),空气截留(残余容量与总肺活量之比[RV/TLC]),一氧化碳转移因子(TLCO),根据全球慢性阻塞性肺疾病倡议(GOLD)D组的疾病严重程度,和死亡率通过线性分析,Logistic或Cox比例风险回归。
■完整的数据来自138名患者(39%为女性,平均年龄65岁)。FEV1、RV/TLC和TLCO,都是%预测的,与呼气血管特征显着相关(每个p<0.05),主要是静脉容量和动脉弯曲。与吸气血管特征的关联不存在或可以忽略不计。GOLDD和死亡率与血管特征之间的关系模式相似。呼气静脉容积是死亡率的独立预测因子,除了FEV1。
■通过在COPD患者中使用自动化软件,可以从呼气CT扫描(尽管不是吸气扫描)中提取有关肺脉管系统的临床相关信息;特别是,呼气肺静脉容积预测死亡率。
■NCT01245933。