|
|
Quantitative analysis in different phenotypes of chronic obstructive pulmonary disease by the paired inspiratory and expiratory high resolution CT |
SHI Wei-ya1, HANG Jing-qing1, ZHANG Zhi-yong2, ZHANG Feng-ying1 |
1.Shanghai Putuo District People’s Hospital, Shanghai 200060, China;
2.Department of Radiology, Zhongshan Hospital Affiliated to Fudan University, Shanghai 200032, China |
|
|
Abstract Objective: To study the differences of CT quantitative parameters in the three phenotypes of chronic obstructive pulmonary disease(COPD), and correlations with pulmonary function parameters, so as to ascertain the clinical feasibility of CT applicative parameters. Methods: Ninety one patients with stable COPD underwent the paired inspiratory and expiratory HRCT scans and pulmonary function tests. The subjects were classified into the three phenotypes according to the rank of emphysema and with or without the bronchial wall thickening: A phenotype, E phenotype and M phenotype. The differences of pulmonary function parameters and CT quantitative parameters(%LAA-950ins、%LAA-856exp、RVC-856to-950 and E/I-ratio MLD) in the three phenotypes of COPD were analyzed. The correlations between CT quantitative and pulmonary function parameters were evaluated. Results: There were three phenotypes in this study: A phenotype(n=50), E phenotype(n=23) and M phenotype(n=18). The values of FEV1, FEV1% and FEV1/FVC were reduced successively in the A phenotype, E phenotype and M phenotype. The values of %LAA-950ins, %LAA-856exp, RVC-856to-950 and E/I-ratio MLD were increased successively in the A phenotype, E phenotype and M phenotype. In the A phenotype group, %LAA-950ins had no correlation with pulmonary function parameters, %LAA-856exp, RVC-856to-950 and E/I-ratio MLD had statistically negative correlations with pulmonary function parameters separately. Among them, E/I-ratio MLD had the strongest negative correlation with FEV1%(γ=-0.588, P=0.000). In the E phenotype and M phenotype groups, CT quantitative parameters had statistically significant negative correlations with pulmonary function parameters(P<0.01). RVC-856to-950 had the strongest negative correlation with FEV1(γ=-0.669, P=0.000). Conclusion: CT quantitative parameters were different in the three phenotypes of COPD. CT index of emphysema(%LAA-950ins) and CT indexes of gas trapping (%LAA-856exp, RVC-856to-950 and E/I-ratio MLD) could be used as effective parameters for evaluating pulmonary function of COPD.
|
Received: 17 July 2017
|
|
|
|
|
Cite this article: |
SHI Wei-ya1,HANG Jing-qing1,ZHANG Zhi-yong2, et al. Quantitative analysis in different phenotypes of chronic obstructive pulmonary disease by the paired inspiratory and expiratory high resolution CT[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(5): 329-332.
|
|
|
|
URL: |
http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2018/V29/I5/329 |
[1]Lynch DA, Al-Qaisi ML. Quantitative CT in COPD[J]. J Thorac Imaging, 2013, 28(5): 284-290.
[2]Zhong N, Wang C, Yao W, et al. Prevalence of chronic obstructive pulmonary disease in China: a large, population-based survey[J]. Am J Respir Crit Care Med, 2007, 176(8): 753-760.
[3]Mets OM, de Jong PA, van Ginneken B, et al. Quantitative computed tomography in COPD: possibilities and limitations[J]. Lung, 2012, 190(2): 133-145.
[4]Xie X, de Jong PA, Oudkerk M, et al. Morphological measurements in computed tomography correlate with airflow obstruction in chronic obstructive pulmonary disease: systematic review and meta-analysis[J]. Eur Radiol, 2012, 22(10): 2085-2093.
[5]Fujimoto K, Kitaguchi Y, Kubo K, et al. Clinical analysis of chronic obstructive pulmonary disease phenotypes classified using high-resolution computed tomography[J]. Respirology, 2006, 11(6): 731-740.
[6]Van Tho N, Wada H, Ogawa E, et al. Recent findings in chronic obstructive pulmonary disease by using quantitative computed tomography[J]. Respir Investig, 2012, 50(3): 78-87.
[7]Regan EA, Hokanson JE, Murphy JR, et al. Genetic epidemiology of COPD(COPD Gene) study design [J]. COPD, 2010, 7(1): 32-43.
[8]Madani A, Zanen J, de Maertelaer V, et al. Pulmonary emphysema: objective quantification at multi-detector row CT—comparison with macroscopic and microscopic morphometry[J]. Radiology, 2006, 238(3): 1036-1043.
[9]Lee YK, Oh YM, Lee JH, et al. Quantitative assessment of emphysema, air trapping, and airway thickening on computed tomography[J]. Lung, 2008, 186(3): 157-165.
[10]Ostridge K, Wilkinson TM. Present and future utility of computed tomography scanning in the assessment and management of COPD[J]. Eur Respir J, 2016, 48(1): 216-228.
[11]Matsuoka S, Kurihara Y, Yagihashi K, et al. Quantitative assessment of peripheral airway obstruction on paired expiratory/inspiratory thin-section computed tomography in chronic obstructive pulmonary disease with emphysema[J]. J Comput Assist Tomogr, 2007, 31(3): 384-389.
[12]Matsuoka S, Kurihara Y, Yagihashi K, et al. Quantitative assessment of air trapping in chronic obstructive pulmonary disease using inspiratory and expiratory volumetric MDCT[J]. AJR, 2008, 190(3): 762-769.
[13]Mets OM, Zanen P, Lammers JW, et al. Early identification of small airways disease on lung cancer screening CT: comparison of current air trapping measures[J]. Lung, 2012, 190(6): 629-633.
[14]夏艺,管宇,范丽,等. 慢性阻塞性肺疾病患者不同HRCT表现型的临床及CT容积量化的分析[J]. 实用放射学杂志,2013,29(7):1067-1070.
[15]Nambu A, Zach J, Schroeder J, et al. Quantitative computed tomography measurements to evaluate airway disease in chronic obstructive pulmonary disease: Relationship to physiological measurements, clinical index and visual assessment of airway disease[J]. Eur J Radiol, 2016, 85(11): 2144-2151.
[16]Kitaguchi Y, Fujimoto K, Kubo K, et al. Characteristics of COPD Phenotypes classified according to the findings of HRCT[J]. Respir Med, 2006, 100(10): 1742-1752. |
|
|
|