Normal lung attenuation distribution and lung volume on computed tomography in a Chinese population
Authors Cheng T, Li Y, Pang S, Wan H, Shi G, Cheng Q, Li Q, Pan Z, Huang S
Received 14 September 2018
Accepted for publication 10 May 2019
Published 24 July 2019 Volume 2019:14 Pages 1657—1668
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 6
Editor who approved publication: Prof. Dr. Chunxue Bai
Ting Cheng,1,2,* Yong Li,1,2,* Shuai Pang,1,2 HuanYing Wan,1,2 GuoChao Shi,2,3 QiJian Cheng,1,2 QingYun Li,2,3 ZiLai Pan,4 ShaoGuang Huang2,3
1Department of Respiratory Medicine, Ruijin Hospital North, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China; 2Institute of Respiratory Diseases, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China; 3Department of Respiratory Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China; 4Department of Radiology, Ruijin Hospital North, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
*These authors contributed equally to this work
Backgroud and objectives: Although lung attenuation distribution and lung volume on computed tomography (CT) have been widely used in evaluating COPD and interstitial lung disease, there are only a few studies regarding the normal range of these indices, especially in Chinese subjects. We aimed to describe the normal range of lung attenuation distribution and lung volume based on CT.
Methods: Subjects with normal lung function and basically normal chest CT findings (derivation group) at Ruijin Hospital, Shanghai (from January 2010 to June 2014) were included according to inclusion and exclusion criteria. The range of the percentage of lung volume occupied by low attenuation areas (LAA%), percentile of the histogram of attenuation values (Perc n), and total lung volume were analyzed. Relationships of these measures with demographic variables were evaluated. Participants who underwent chest CT examination for disease screening and had basically normal CT findings served as an external validation group.
Results: The number of subjects in the derivation group and external validation groups were 564 and 1,787, respectively. Mean total lung volumes were 4,468±1,271 mL and 4,668±1,192 mL, and median LAA%(-950 HU) was 0.19 (0.03–0.43) and 0.17 (0.01–0.41), in the derivation and external validation groups, respectively. Reference equations for lung volume and attenuation distribution (LAA% using -1,000–210 HU, Perc 1 to Perc 98) were generated: Lung volume (mL) = -1.015 *10^4+605.3*Sex (1= male, 0= female)+92.61*Height (cm) –12.99*Weight (kg) ±1766; LAA% (-950 HU)=[0.2027+0.05926*Sex (1= male, 0= female) –4.111*10^-3*Weight (kg) +4.924*10^-3*Height (cm) +8.504*10^-4*Age]^7.341–0.05; Upper limit of normal range: [0.2027+0.05926*Sex-4.111*10^-3*Weight+4.924*10^-3*Height+8.504*10^-4*Age+0.1993]^7.341–0.05.
Conclusion: This large population-based retrospective study demonstrated the normal range of LAA%, Perc n, and total lung volume measured on CT scans among subjects with normal lung function and CT findings. Reference equations are provided.
Keywords: lung attenuation, emphysema, lung volumes, quantitative computed tomography, reference equations, normal range, densitometry
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