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Abstract：
Purpose To investigate quantitative CT (QCT) measurement variability in interstitial lung disease (ILD) on the basis of two same-day CT scans. Materials and Methods Participants with ILD were enrolled in this multicenter prospective study between March and October 2022. Participants underwent two same-day CT scans at an interval of a few minutes. Deep learning-based texture analysis software was used to segment ILD features. Fibrosis extent was defined as the sum of reticular opacity and honeycombing cysts. Measurement variability between scans was assessed with Bland-Altman analyses for absolute and relative differences with 95% limits of agreement (LOA). The contribution of fibrosis extent to variability was analyzed using a multivariable linear mixed-effects model while adjusting for lung volume. Eight readers assessed ILD fibrosis stability with and without QCT information for 30 randomly selected samples. Results Sixty-five participants were enrolled in this study (mean age, 68.7 years ± 10 [SD]; 47 [72%] men, 18 [28%] women). Between two same-day CT scans, the 95% LOA for the mean absolute and relative differences of quantitative fibrosis extent were -0.9% to 1.0% and -14.8% to 16.1%, respectively. However, these variabilities increased to 95% LOA of -11.3% to 3.9% and -123.1% to 18.4% between CT scans with different reconstruction parameters. Multivariable analysis showed that absolute differences were not associated with the baseline extent of fibrosis (P = .09), but the relative differences were negatively associated (β = -0.252, P < .001). The QCT results increased readers\' specificity in interpreting ILD fibrosis stability (91.7% vs 94.6%, P = .02). Conclusion The absolute QCT measurement variability of fibrosis extent in ILD was 1% in same-day CT scans. Keywords: CT, CT-Quantitative, Thorax, Lung, Lung Diseases, Interstitial, Pulmonary Fibrosis, Diagnosis, Computer Assisted, Diagnostic Imaging Supplemental material is available for this article. © RSNA, 2024.
摘要：
目的以2次同日CT扫描为基础,探讨间质性肺疾病(ILD)的定量CT(QCT)测量变异性。材料与方法2022年3月至10月，ILD参与者参加了这项多中心前瞻性研究。参与者以几分钟的间隔进行了两次同一天的CT扫描。基于深度学习的纹理分析软件用于分割ILD特征。纤维化程度定义为网状混浊和蜂窝状囊肿的总和。扫描之间的测量变异性用Bland-Altman分析评估绝对和相对差异,具有95%一致限度(LOA)。使用多变量线性混合效应模型分析纤维化程度对变异性的贡献，同时调整肺体积。八个读者评估了30个随机选择的样品的具有和不具有QCT信息的ILD纤维化稳定性。结果65名参与者参加了这项研究(平均年龄，68.7岁±10[SD]；47[72%]男性，18[28%]女性)。在同一天的两次CT扫描之间，定量纤维化程度的平均绝对和相对差异的95％LOA分别为-0.9％至1.0％和-14.8％至16.1％，分别。然而,在不同重建参数的CT扫描之间，这些变异性增加到-11.3％至3.9％和-123.1％至18.4％的95％LOA。多变量分析表明，绝对差异与纤维化的基线程度无关（P=.09），但相对差异呈负相关(β=-0.252,P<.001)。QCT结果提高了读者解释ILD纤维化稳定性的特异性(91.7%vs94.6%，P=.02）。结论在当天CT扫描中，ILD纤维化程度的绝对QCT测量变异性为1％。关键词:CT,CT-定量,胸部,肺，肺部疾病,间质性,肺纤维化,诊断,计算机辅助,诊断成像补充材料可用于本文。©RSNA,2024.
