Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping and bronchial wall thickening.

IF 4.7 2区 医学 Q1 RESPIRATORY SYSTEM
Onno M Mets, Michael Schmidt, Constantinus F Buckens, Martijn J Gondrie, Ivana Isgum, Matthijs Oudkerk, Rozemarijn Vliegenthart, Harry J de Koning, Carlijn M van der Aalst, Mathias Prokop, Jan-Willem J Lammers, Pieter Zanen, Firdaus A Mohamed Hoesein, Willem PthM Mali, Bram van Ginneken, Eva M van Rikxoort, Pim A de Jong
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引用次数: 69

Abstract

Background: Beyond lung cancer, screening CT contains additional information on other smoking related diseases (e.g. chronic obstructive pulmonary disease, COPD). Since pulmonary function testing is not regularly incorporated in lung cancer screening, imaging biomarkers for COPD are likely to provide important surrogate measures for disease evaluation. Therefore, this study aims to determine the independent diagnostic value of CT emphysema, CT air trapping and CT bronchial wall thickness for COPD in low-dose screening CT scans.

Methods: Prebronchodilator spirometry and volumetric inspiratory and expiratory chest CT were obtained on the same day in 1140 male lung cancer screening participants. Emphysema, air trapping and bronchial wall thickness were automatically quantified in the CT scans. Logistic regression analysis was performed to derivate a model to diagnose COPD. The model was internally validated using bootstrapping techniques.

Results: Each of the three CT biomarkers independently contributed diagnostic value for COPD, additional to age, body mass index, smoking history and smoking status. The diagnostic model that included all three CT biomarkers had a sensitivity and specificity of 73.2% and 88.%, respectively. The positive and negative predictive value were 80.2% and 84.2%, respectively. Of all participants, 82.8% was assigned the correct status. The C-statistic was 0.87, and the Net Reclassification Index compared to a model without any CT biomarkers was 44.4%. However, the added value of the expiratory CT data was limited, with an increase in Net Reclassification Index of 4.5% compared to a model with only inspiratory CT data.

Conclusion: Quantitatively assessed CT emphysema, air trapping and bronchial wall thickness each contain independent diagnostic information for COPD, and these imaging biomarkers might prove useful in the absence of lung function testing and may influence lung cancer screening strategy. Inspiratory CT biomarkers alone may be sufficient to identify patients with COPD in lung cancer screening setting.

Abstract Image

Abstract Image

慢性阻塞性肺疾病在肺癌筛查中的诊断:肺气肿、气陷和支气管壁增厚的独立贡献。
背景:除了肺癌,CT筛查还包含其他吸烟相关疾病(如慢性阻塞性肺疾病,COPD)的额外信息。由于肺功能检测不定期纳入肺癌筛查,COPD的成像生物标志物可能为疾病评估提供重要的替代措施。因此,本研究旨在确定CT肺气肿、CT气陷、CT支气管壁厚在低剂量筛查CT扫描中对COPD的独立诊断价值。方法:对1140例男性肺癌筛查者进行支气管扩张剂前肺活量测定和容积吸气呼气胸部CT检查。在CT扫描中自动量化肺气肿、气陷和支气管壁厚度。采用Logistic回归分析推导COPD诊断模型。使用自举技术对模型进行内部验证。结果:除了年龄、体重指数、吸烟史和吸烟状况外,三种CT生物标志物中的每一种都独立贡献了COPD的诊断价值。包含所有三种CT生物标志物的诊断模型的敏感性和特异性分别为73.2%和88。分别为%。阳性预测值为80.2%,阴性预测值为84.2%。在所有参与者中,82.8%的人被分配了正确的状态。c统计量为0.87,与不含CT生物标志物的模型相比,净重分类指数为44.4%。然而,呼气CT数据的附加价值有限,与仅吸气CT数据的模型相比,净重分类指数增加了4.5%。结论:定量评估的CT肺气肿、空气潴留和支气管壁厚度均包含COPD的独立诊断信息,这些成像生物标志物可能在缺乏肺功能检测的情况下有用,并可能影响肺癌筛查策略。在肺癌筛查中,单独的吸气CT生物标志物可能足以识别COPD患者。
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来源期刊
Respiratory Research
Respiratory Research 医学-呼吸系统
自引率
1.70%
发文量
314
期刊介绍: Respiratory Research publishes high-quality clinical and basic research, review and commentary articles on all aspects of respiratory medicine and related diseases. As the leading fully open access journal in the field, Respiratory Research provides an essential resource for pulmonologists, allergists, immunologists and other physicians, researchers, healthcare workers and medical students with worldwide dissemination of articles resulting in high visibility and generating international discussion. Topics of specific interest include asthma, chronic obstructive pulmonary disease, cystic fibrosis, genetics, infectious diseases, interstitial lung diseases, lung development, lung tumors, occupational and environmental factors, pulmonary circulation, pulmonary pharmacology and therapeutics, respiratory immunology, respiratory physiology, and sleep-related respiratory problems.
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