Acknowledgement
Supported by : Dongkook Pharm. Co., Ltd.
References
- Stockley RA, Mannino D, Barnes PJ. Burden and pathogenesis of chronic obstructive pulmonary disease. Proc Am Thorac Soc 2009;6:524-526 https://doi.org/10.1513/pats.200904-016DS
- Roy K, Smith J, Kolsum U, Borrill Z, Vestbo J, Singh D. COPD phenotype description using principal components analysis. Respir Res 2009;10:41 https://doi.org/10.1186/1465-9921-10-41
- Bergin C, Muller N, Nichols DM, Lillington G, Hogg JC, Mullen B, et al. The diagnosis of emphysema. A computed tomographic-pathologic correlation. Am Rev Respir Dis 1986;133:541-546
- Hackx M, Bankier AA, Gevenois PA. Chronic obstructive pulmonary disease: CT quantification of airways disease. Radiology 2012;265:34-48 https://doi.org/10.1148/radiol.12111270
- Lynch DA, Al-Qaisi MA. Quantitative computed tomography in chronic obstructive pulmonary disease. J Thorac Imaging 2013;28:284-290 https://doi.org/10.1097/RTI.0b013e318298733c
- Lee YK, Oh YM, Lee JH, Kim EK, Lee JH, Kim N, et al. Quantitative assessment of emphysema, air trapping, and airway thickening on computed tomography. Lung 2008;186:157-165 https://doi.org/10.1007/s00408-008-9071-0
- Burrows B. An overview of obstructive lung diseases. Med Clin North Am 1981;65:455-471 https://doi.org/10.1016/S0025-7125(16)31509-7
- Fletcher C, Peto R. The natural history of chronic airflow obstruction. Br Med J 1977;1:1645-1648 https://doi.org/10.1136/bmj.1.6077.1645
- Niewoehner DE, Kleinerman J, Rice DB. Pathologic changes in the peripheral airways of young cigarette smokers. N Engl J Med 1974;291:755-758 https://doi.org/10.1056/NEJM197410102911503
- Zach JA, Newell JD Jr, Schroeder J, Murphy JR, Curran-Everett D, Hoffman EA, et al. Quantitative computed tomography of the lungs and airways in healthy nonsmoking adults. Invest Radiol 2012;47:596-602 https://doi.org/10.1097/RLI.0b013e318262292e
- Regan EA, Lynch DA, Curran-Everett D, Curtis JL, Austin JH, Grenier PA, et al. Clinical and radiologic disease in smokers with normal spirometry. JAMA Intern Med 2015;175:1539-1549 https://doi.org/10.1001/jamainternmed.2015.2735
- Gevenois PA, Scillia P, de Maertelaer V, Michils A, De Vuyst P, Yernault JC. The effects of age, sex, lung size, and hyperinflation on CT lung densitometry. AJR Am J Roentgenol 1996;167:1169-1173 https://doi.org/10.2214/ajr.167.5.8911175
- Irion KL, Marchiori E, Hochhegger B, Porto Nda S, Moreira Jda S, Anselmi CE, et al. CT quantification of emphysema in young subjects with no recognizable chest disease. AJR Am J Roentgenol 2009;192:W90-W96 https://doi.org/10.2214/AJR.07.3502
- Regan EA, Hokanson JE, Murphy JR, Make B, Lynch DA, Beaty TH, et al. Genetic epidemiology of COPD (COPDGene) study design. COPD 2010;7:32-43
- Grydeland TB, Thorsen E, Dirksen A, Jensen R, Coxson HO, Pillai SG, et al. Quantitative CT measures of emphysema and airway wall thickness are related to D(L)CO. Respir Med 2011;105:343-351 https://doi.org/10.1016/j.rmed.2010.10.018
- Gevenois PA, de Maertelaer V, De Vuyst P, Zanen J, Yernault JC. Comparison of computed density and macroscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med 1995;152:653-657 https://doi.org/10.1164/ajrccm.152.2.7633722
- Tschirren J, Hoffman EA, McLennan G, Sonka M. Segmentation and quantitative analysis of intrathoracic airway trees from computed tomography images. Proc Am Thorac Soc 2005;2:484-487 https://doi.org/10.1513/pats.200507-078DS
- Palagyi K, Tschirren J, Hoffman EA, Sonka M. Quantitative analysis of pulmonary airway tree structures. Comput Biol Med 2006;36:974-996 https://doi.org/10.1016/j.compbiomed.2005.05.004
- Zhang L, Hoffman EA, Reinhardt JM. Atlas-driven lung lobe segmentation in volumetric X-ray CT images. IEEE Trans Med Imaging 2006;25:1-16 https://doi.org/10.1109/TMI.2005.859209
- Hoffman EA, Simon BA, McLennan G. State of the art. A structural and functional assessment of the lung via multidetector-row computed tomography: phenotyping chronic obstructive pulmonary disease. Proc Am Thorac Soc 2006;3:519-532 https://doi.org/10.1513/pats.200603-086MS
- Standardization of spirometry, 1994 update. American Thoracic Society. Am J Respir Crit Care Med 1995;152:1107-1136 https://doi.org/10.1164/ajrccm.152.3.7663792
- Marsh S, Aldington S, Williams MV, Nowitz MR, Kingzett-Taylor A, Weatherall M, et al. Utility of lung density measurements in the diagnosis of emphysema. Respir Med 2007;101:1512-1520 https://doi.org/10.1016/j.rmed.2007.01.002
- Soejima K, Yamaguchi K, Kohda E, Takeshita K, Ito Y, Mastubara H, et al. Longitudinal follow-up study of smokinginduced lung density changes by high-resolution computed tomography. Am J Respir Crit Care Med 2000;161(4 Pt 1):1264-1273 https://doi.org/10.1164/ajrccm.161.4.9905040
Cited by
- Comparison of Filtered Back Projection, Hybrid Iterative Reconstruction, Model-Based Iterative Reconstruction, and Virtual Monoenergetic Reconstruction Images at Both Low- and Standard-Dose Settings i vol.19, pp.4, 2017, https://doi.org/10.3348/kjr.2018.19.4.809
- Age of Data in Contemporary Research Articles Published in Representative General Radiology Journals vol.19, pp.6, 2018, https://doi.org/10.3348/kjr.2018.19.6.1172
- Impact of Model-Based Iterative Reconstruction on the Correlation between Computed Tomography Quantification of a Low Lung Attenuation Area and Airway Measurements and Pulmonary Function Test Results vol.19, pp.6, 2018, https://doi.org/10.3348/kjr.2018.19.6.1187
- A Glimpse on Trends and Characteristics of Recent Articles Published in the Korean Journal of Radiology vol.20, pp.12, 2019, https://doi.org/10.3348/kjr.2019.0928
- Prediction of Treatment Response in Patients with Chronic Obstructive Pulmonary Disease by Determination of Airway Dimensions with Baseline Computed Tomography vol.20, pp.2, 2019, https://doi.org/10.3348/kjr.2018.0204
- Structural and Functional Features on Quantitative Chest Computed Tomography in the Korean Asian versus the White American Healthy Non-Smokers vol.20, pp.7, 2019, https://doi.org/10.3348/kjr.2019.0083
- The importance of CT quantitative evaluation of emphysema in lung cancer screening cohort with negative findings by visual evaluation vol.13, pp.12, 2017, https://doi.org/10.1111/crj.13084
- Characteristics of Recent Articles Published in the Korean Journal of Radiology Based on the Citation Frequency vol.21, pp.12, 2020, https://doi.org/10.3348/kjr.2020.1322
- Relative Regional Air Volume Change Maps at the Acinar Scale Reflect Variable Ventilation in Low Lung Attenuation of COPD patients vol.27, pp.11, 2017, https://doi.org/10.1016/j.acra.2019.12.004
- Quantitative CT-based image registration metrics provide different ventilation and lung motion patterns in prone and supine positions in healthy subjects vol.21, pp.1, 2017, https://doi.org/10.1186/s12931-020-01519-5
- A 3D-CNN model with CT-based parametric response mapping for classifying COPD subjects vol.11, pp.1, 2017, https://doi.org/10.1038/s41598-020-79336-5
- Quantitative computed tomography imaging-based classification of cement dust-exposed subjects with an artificial neural network technique vol.141, pp.None, 2017, https://doi.org/10.1016/j.compbiomed.2021.105162