Department of Pulmonary, Critical Care, Allergy, and Sleep Medicine, University of California, San Francisco, San Francisco, CA; Department of Medicine, University of California, San Francisco, San Francisco, CA.
Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO.
Chest. 2024 Nov;166(5):1093-1107. doi: 10.1016/j.chest.2024.04.031. Epub 2024 Jun 1.
Sarcoidosis staging primarily has relied on the Scadding chest radiographic system, although chest CT imaging is finding increased clinical use.
Whether standardized chest CT scan assessment provides additional understanding of lung function beyond Scadding stage and demographics is unknown and the focus of this study.
We used National Heart, Lung, and Blood Institute study Genomics Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) cases of sarcoidosis (n = 351) with Scadding stage and chest CT scans obtained in a standardized manner. One chest radiologist scored all CT scans with a visual scoring system, with a subset read by another chest radiologist. We compared demographic features, Scadding stage and CT scan findings, and the correlation between these measures. Associations between spirometry and diffusing capacity of the lungs for carbon monoxide (Dlco) results and CT scan findings and Scadding stage were determined using regression analysis (n = 318). Agreement between readers was evaluated using Cohen's κ value.
CT scan features were inconsistent with Scadding stage in approximately 40% of cases. Most CT scan features assessed on visual scoring were associated negatively with lung function. Associations persisted for FEV and Dlco when adjusting for Scadding stage, although some CT scan feature associations with FVC became insignificant. Scadding stage was associated primarily with FEV, and inclusion of CT scan features reduced significance in association between Scadding stage and lung function. Multivariable regression modeling to identify radiologic measures explaining lung function included Scadding stage for FEV and FEV to FVC ratio (P < .05) and marginally for Dlco (P < .15). Combinations of CT scan measures accounted for Scadding stage for FVC. Correlations among Scadding stage and CT scan features were noted. Agreement between readers was poor to moderate for presence or absence of CT scan features and poor for degree and location of abnormality.
In this study, CT scan features explained additional variability in lung function beyond Scadding stage, with some CT scan features obviating the associations between lung function and Scadding stage. Whether CT scan features, phenotypes, or endotypes could be useful for treating patients with sarcoidosis needs more study.
结节病分期主要依赖于 Scadding 胸部 X 射线系统,尽管胸部 CT 成像在临床上的应用越来越多。
标准化胸部 CT 扫描评估是否除了 Scadding 分期和人口统计学特征之外,还能提供对肺功能的额外了解尚不清楚,这也是本研究的重点。
我们使用美国国立心肺血液研究所的 Alpha-1 抗胰蛋白酶缺乏和结节病的基因组研究(GRADS)中的结节病病例(n=351),这些病例具有 Scadding 分期,并以标准化方式获得了胸部 CT 扫描。一名胸部放射科医生使用视觉评分系统对所有 CT 扫描进行评分,其中一部分由另一名胸部放射科医生进行阅读。我们比较了人口统计学特征、Scadding 分期和 CT 扫描结果,以及这些指标之间的相关性。使用回归分析(n=318)确定了肺功能(包括肺活量和一氧化碳弥散量)结果与 CT 扫描结果和 Scadding 分期之间的关联。使用 Cohen's κ 值评估读者间的一致性。
约 40%的病例中,CT 扫描特征与 Scadding 分期不一致。在视觉评分中评估的大多数 CT 扫描特征与肺功能呈负相关。在调整 Scadding 分期后,FEV 和 Dlco 仍然存在相关性,但 FVC 与某些 CT 扫描特征的相关性变得不显著。Scadding 分期主要与 FEV 相关,而纳入 CT 扫描特征会降低 Scadding 分期与肺功能之间的关联的显著性。用于识别解释肺功能的影像学指标的多变量回归模型包括 Scadding 分期用于 FEV 和 FEV/FVC 比值(P<0.05),对于 Dlco 则处于边缘显著(P<0.15)。CT 扫描指标的组合解释了 FVC 的 Scadding 分期。注意到 Scadding 分期与 CT 扫描特征之间的相关性。对于 CT 扫描特征的存在或缺失,读者间的一致性较差到中等,对于异常程度和位置的一致性较差。
在这项研究中,CT 扫描特征解释了 Scadding 分期之外的肺功能的额外变异性,并且某些 CT 扫描特征消除了肺功能与 Scadding 分期之间的关联。CT 扫描特征、表型或内型是否对结节病患者的治疗有用,还需要更多的研究。