ISSN 1004-4140
CN 11-3017/P

定量CT对CTD-ILA/ILD的诊断效能

Diagnostic Efficacy of Quantitative Computed Tomography in CTD-ILA/ILD

  • 摘要: 目的:本研究旨在探讨定量CT在结缔组织病相关间质性肺异常(CTD-ILA)和间质性肺疾病(CTD-ILD)中的诊断效能,建立基于定量CT的CTD患者筛查方法。方法:纳入CTD-ILD患者140例、CTD-ILA患者33例及对照组109例,使用3D-Slicer获得定量指标。结果:各组间定量CT指标均存在差异。ROC分析显示,F%、GGO%、SD及Kurtosis是鉴别对照组与CTD-ILA/ILD的敏感指标,其中SD在早期诊断CTD-ILA(AUC=0.862)、CTD-ILD(AUC=0.923)时表现最佳,进一步区分CTD-ILA与CTD-ILD时,SD(AUC=0.649)和F%(AUC=0.617)展现出较强区分能力。多元逐步logistic回归分析显示,F%、GGO%、SD和Kurtosis在区分对照组与CTD-ILA/ILD时具有统计学意义。结论:定量CT对于CTD-ILA/ILD早期诊断具有重要意义,基于定量CT构建CTD筛查流程有助实现患者精准管理。

     

    Abstract: Objective: The aim of this study is to evaluate the diagnostic efficacy of quantitative computed tomography (CT) in differentiating between connective tissue disease-associated interstitial lung abnormalities (CTD-ILA) and connective tissue disease-associated interstitial lung disease (CTD-ILD), as well as to establish a screening protocol for connective tissue disease (CTD) patients based on quantitative CT. Methods: A total of 140 patients with CTD-ILD, 33 patients with CTD-ILA, and 109 healthy controls were enrolled. Quantitative indices were obtained using the 3D-Slicer software. Results: Significant differences in quantitative CT indices are observed among the groups (p < 0.05). ROC analysis shows that the F%, GGO%, SD, and kurtosis are sensitive indicators for differentiating the control group from those with CTD-ILA/ILD. Notably, the best SD is demonstrated in the early diagnosis of both the CTD-ILA (AUC = 0.862) and CTD-ILD (AUC = 0.923) groups. Further distinguishing between CTD-ILA and CTD-ILD shows the strong discriminatory ability of the SD (AUC = 0.649) and F% (AUC = 0.617). Multivariable stepwise logistic regression analysis shows that F%, GGO%, SD, and kurtosis are statistically significant in differentiating the control group from the CTD-ILA/ILD groups (p < 0.05). Conclusion: Quantitative CT is promising for the early diagnosis of CTD-ILA/ILD. Establishing a CTD screening protocol based on quantitative CT can facilitate precise patient management.

     

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