Department of Respiratory Medicine, University College London, London, UK.
Centre for Medical Image Computing, University College London, London, UK.
Respirology. 2019 May;24(5):445-452. doi: 10.1111/resp.13485. Epub 2019 Feb 20.
This study aimed to investigate whether quantitative lung vessel morphology determined by a new fully automated algorithm is associated with functional indices in idiopathic pulmonary fibrosis (IPF).
A total of 152 IPF patients had vessel volume, density, tortuosity and heterogeneity quantified from computed tomography (CT) images by a fully automated algorithm. Separate quantitation of vessel metrics in pulmonary arteries and veins was performed in 106 patients. Results were evaluated against readouts from lung function tests.
Normalized vessel volume expressed as a percentage of total lung volume was moderately correlated with functional indices on univariable linear regression analysis: forced vital capacity (R = 0.27, P < 1 × 10 ), diffusion capacity for carbon monoxide (DL ; R = 0.12, P = 3 × 10 ), total lung capacity (TLC; R = 0.45, P < 1 × 10 ) and composite physiologic index (CPI; R = 0.28, P < 1 × 10 ). Normalized vessel volume was correlated with vessel density but not with vessel heterogeneity. Quantitatively derived vessel metrics (and artery and vein subdivision scores) were not significantly linked with the transfer factor for carbon monoxide (K ), and only weakly with DL . On multivariable linear regression analysis, normalized vessel volume and vessel heterogeneity were independently linked with DL , TLC and CPI indicating that they capture different aspects of lung damage. Artery-vein separation provided no additional information beyond that captured in the whole vasculature.
Our study confirms previous observations of links between vessel volume and functional measures of disease severity in IPF using a new vessel quantitation tool. Additionally, the new tool shows independent linkages of normalized vessel volume and vessel heterogeneity with functional indices. Quantitative vessel metrics do not appear to reflect vasculopathic damage in IPF.
本研究旨在探讨通过新的全自动算法定量的肺血管形态是否与特发性肺纤维化(IPF)的功能指标相关。
对 152 例 IPF 患者的 CT 图像进行血管容积、密度、迂曲度和异质性的全自动算法分析。106 例患者分别对肺动脉和肺静脉的血管参数进行定量分析。结果与肺功能检查结果进行评估。
用单位体积肺容积表示的归一化血管容积与单变量线性回归分析中的功能指标中度相关:用力肺活量(R = 0.27,P < 1 × 10 )、一氧化碳弥散量(DL ;R = 0.12,P = 3 × 10 )、肺总量(TLC;R = 0.45,P < 1 × 10 )和综合生理指数(CPI;R = 0.28,P < 1 × 10 )。归一化血管容积与血管密度相关,但与血管异质性无关。定量得出的血管指标(以及动脉和静脉细分评分)与一氧化碳的转移系数(K )没有显著相关性,与 DL 仅弱相关。多变量线性回归分析表明,归一化血管容积和血管异质性与 DL 、TLC 和 CPI 独立相关,表明它们反映了肺损伤的不同方面。动脉-静脉分离提供的信息没有超过整个血管系统所捕获的信息。
本研究使用新的血管定量工具证实了以前观察到的血管容积与 IPF 疾病严重程度的功能指标之间的关联。此外,新工具显示归一化血管容积和血管异质性与功能指标有独立的关联。定量血管指标似乎不能反映 IPF 中的血管病变损伤。