MDCT-based longitudinal automated airway and air trapping analysis in school-age children with mild cystic fibrosis lung disease.

MDCT-based longitudinal automated airway and air trapping analysis in school-age children with mild cystic fibrosis lung disease.
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DOI:
10.3389/fped.2023.1068103
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发表时间:
2023
影响因子:
2.6
通讯作者:
Wielpütz MO
Wielpütz MO
中科院分区:
医学3区
文献类型:
--
作者:
Weinheimer O;Konietzke P;Wagner WL;Weber D;Newman B;Galbán CJ;Kauczor HU;Mall MA;Robinson TE;Wielpütz MO

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定量计算机断层扫描(QCT)提供了一些有前途的指标,以量化囊性纤维化(CF)-肺部疾病。不可逆性支气管扩张之前可能存在空气潴留,因此,功能性和结构性肺病的时间相关性需要进一步研究。我们的目的是量化的气道尺寸和胸部CT空气潴留的学龄儿童轻度CF肺疾病超过两年。全自动软件分析了36名儿童(中位年龄12.1(10.2 - 13.8)岁)在基线、3、12和24个月时的144次连续肺量计控制的胸部CT扫描,这些儿童患有轻度CF肺疾病(中位ppFEV 1 98.5(90.8 - 103.3)%)。计算全肺和各肺叶的气道壁百分比(WP 5 - 10)、支气管扩张指数(BEI)以及严重空气潴留(A3)。考虑WP 5 - 10、BEI和A3的叶分布,计算了混合线性模型。WP 5 - 10保持稳定(P = 0.248),BEI从0.41(0.28 - 0.7)变为0.54(0.36 - 0.88)(P = 0.156),A3从2.26%变为4.35%(P = 0.086),显示出两年的变异性。ppFEV1也稳定(P = 0.276)。稳健的混合线性模型显示在每个时间点WP5 - 10和A3之间的横截面、区域关联(P <0.001)。此外,BEI显示没有横截面,但另一个混合模型显示短期纵向相互依赖性与空气滞留(P = 0.003)。稳健的线性/beta混合模型仍然可以揭示具有高变异性的医疗数据中的相互依赖性,这些数据仍然被简单的统计方法所隐藏。我们可以证明横截面,区域之间的相互依赖性壁增厚和空气滞留。此外,我们显示空气滞留和支气管扩张增加之间的短期区域相互依赖性。这些数据表明,区域空气滞留可能先于支气管扩张的发展。定量CT可以捕捉微妙的疾病进展,并确定CF肺疾病的不同表现的区域和时间的相互依赖性。
Quantitative computed tomography (QCT) offers some promising markers to quantify cystic fibrosis (CF)-lung disease. Air trapping may precede irreversible bronchiectasis; therefore, the temporal interdependencies of functional and structural lung disease need to be further investigated. We aim to quantify airway dimensions and air trapping on chest CT of school-age children with mild CF-lung disease over two years. Fully-automatic software analyzed 144 serial spirometer-controlled chest CT scans of 36 children (median 12.1 (10.2–13.8) years) with mild CF-lung disease (median ppFEV1 98.5 (90.8–103.3) %) at baseline, 3, 12 and 24 months. The airway wall percentage (WP5–10), bronchiectasis index (BEI), as well as severe air trapping (A3) were calculated for the total lung and separately for all lobes. Mixed linear models were calculated, considering the lobar distribution of WP5–10, BEI and A3 cross-sectionally and longitudinally. WP5–10 remained stable (P = 0.248), and BEI changed from 0.41 (0.28–0.7) to 0.54 (0.36–0.88) (P = 0.156) and A3 from 2.26% to 4.35% (P = 0.086) showing variability over two years. ppFEV1 was also stable (P = 0.276). A robust mixed linear model showed a cross-sectional, regional association between WP5–10 and A3 at each timepoint (P < 0.001). Further, BEI showed no cross-sectional, but another mixed model showed short-term longitudinal interdependencies with air trapping (P = 0.003). Robust linear/beta mixed models can still reveal interdependencies in medical data with high variability that remain hidden with simpler statistical methods. We could demonstrate cross-sectional, regional interdependencies between wall thickening and air trapping. Further, we show short-term regional interdependencies between air trapping and an increase in bronchiectasis. The data indicate that regional air trapping may precede the development of bronchiectasis. Quantitative CT may capture subtle disease progression and identify regional and temporal interdependencies of distinct manifestations of CF-lung disease.
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