Recent advances in airway imaging using microcomputed tomography and computed tomography for chronic obstructive pulmonary disease

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참고문헌 (76)

1. Singh D, "Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease : the GOLD science committee report 2019", Eur Respir J, 53, pp.1900164~ (2019)
2. Bhatt SP, "Imaging advances in chronic obstructive pulmonary disease : insights from the genetic epidemiology of Chronic Obstructive Pulmonary Disease(COPDGene)study", Am J Respir Crit Care Med, 199, pp.286~301 (2019)
3. Lynch DA, "CT-definable subtypes of chronic obstructive pulmonary disease : a statement of the Fleischner Society", Radiology, 277, pp.192~205 (2015)
4. Gevenois PA, "Comparison of computed density and microscopic morphometry in pulmonary emphysema", Am J Respir Crit Care Med, 154, pp.187~192 (1996)
5. Grydeland TB, "Quantitative computed tomography measures of emphysema and airway wall thickness are related to respiratory symptoms", Am J Respir Crit Care Med, 181, pp.353~359 (2010)
6. Han MK, "Chronic obstructive pulmonary disease exacerbations in the COPDGene study : associated radiologic phenotypes", Radiology, 261, pp.274~282 (2011)
7. Haruna A, "CT scan findings of emphysema predict mortality in COPD", Chest, 138, pp.635~640 (2010)
8. Mishima M, "Complexity of terminal airspace geometry assessed by lung computed tomography in normal subjects and patients with chronic obstructive pulmonary disease", Proc Natl Acad Sci U S A, 96, pp.8829~8834 (1999)
9. Nakano Y, "Computed tomographic measurements of airway dimensions and emphysema in smokers : correlation with lung function", Am J Respir Crit Care Med, 162(3 Pt 1), pp.1102~1108 (2000)
10. Shimizu K, "Per cent low attenuation volume and fractal dimension of low attenuation clusters on CT predict different long-term outcomes in COPD", Thorax, 75, pp.116~122 (2020)
11. Park J, "Subtyping COPD by using visual and quantitative CT imaging features", Chest, 157, pp.47~60 (2020)
12. Smith BM, "Pulmonary emphysema subtypes on computed tomography : the MESA COPD study", Am J Med, 127, pp.94~ (2014)
13. Ostridge K, "Distinct emphysema subtypes defined by quantitative CT analysis are associated with specific pulmonary matrix metalloproteinases", Respir Res, 17, pp.92~ (2016)
14. Hogg JC, "The nature of smallairway obstruction in chronic obstructive pulmonary disease", N Engl J Med, 350, pp.2645~2653 (2004)
15. Nakano Y, "The prediction of small airway dimensions using computed tomography", Am J Respir Crit Care Med, 171, pp.142~146 (2005)
16. Grydeland TB, "Quantitative computed tomography : emphysema and airway wall thickness by sex, age and smoking", Eur Respir J, 34, pp.858~865 (2009)
17. Smith BM, "Comparison of spatially matched airways reveals thinner airway walls in COPD. The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study and the Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS)", Thorax, 69, pp.987~996 (2014)
18. Washko GR, "Computed tomographic measures of airway morphology in smokers and never-smoking normals", J Appl Physiol (1985), 116, pp.668~673 (2014)
19. Galban CJ, "Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression", Nat Med, 18, pp.1711~1715 (2012)
20. Vasilescu DM, "Noninvasive imaging biomarker identifies small airway damage in severe chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 200, pp.575~581 (2019)
21. Tanabe N, "Quantitative measurement of airway dimensions using ultra-high resolution computed tomography", Respir Investig, 56, pp.489~496 (2018)
22. Tanabe N, "Direct evaluation of peripheral airways using ultra-high-resolution CT in chronic obstructive pulmonary disease", Eur J Radiol, 120, pp.108687~ (2019)
23. Xu Y, "Quantitative emphysema measurement on ultra-high-resolution CT scans", Int J Chron Obstruct Pulmon Dis, 14, pp.2283~2290 (2019)
24. Tanabe N, "Influence of asthma onset on airway dimensions on ultra-high-resolution computed tomography in chronic obstructive pulmonary disease", J Thorac Imaging, 36, pp.224~230 (2021)
25. Metscher BD, "MicroCT for comparative morphology : simple staining methods allow high-contrast 3D imaging of diverse non-mineralized animal tissues", BMC Physiol, 9, pp.11~ (2009)
26. Vasilescu DM, "Stereological assessment of mouse lung parenchyma via nondestructive, multiscale micro-CT imaging validated by light microscopic histology", J Appl Physiol (1985), 114, pp.716~724 (2013)
27. Koo HK, "Small airways disease in mild and moderate chronic obstructive pulmonary disease : a cross-sectional study", Lancet Respir Med, 6, pp.591~602 (2018)
28. McDonough JE, "Small-airway obstruction and emphysema in chronic obstructive pulmonary disease", N Engl J Med, 365, pp.1567~1575 (2011)
29. Vasilescu DM, "Nondestructive cryomicro-CT imaging enables structural and molecular analysis of human lung tissue", J Appl Physiol (1985), 122, pp.161~169 (2017)
30. Verleden SE, "Small airways pathology in idiopathic pulmonary fibrosis : a retrospective cohort study", Lancet Respir Med, 8, pp.573~584 (2020)
31. Verleden SE, "The site and nature of airway obstruction after lung transplantation", Am J Respir Crit Care Med, 189, pp.292~300 (2014)
32. Verleden SE, "Small airway loss in the physiologically ageing lung : a cross-sectional study in unused donor lungs", Lancet Respir Med, 9, pp.167~174 (2021)
33. Scott AE, "Three dimensional imaging of paraffin embedded human lung tissue samples by micro-computed tomography", PLoS One, 10, pp.e0126230~ (2015)
34. Tanabe N, "Micro-computed tomography comparison of preterminal bronchioles in centrilobular and panlobular emphysema", Am J Respir Crit Care Med, 195, pp.630~638 (2017)
35. Tanabe N, "Analysis of airway pathology in COPD using a combination of computed tomography, micro-computed tomography and histology", Eur Respir J, 51, pp.1701245~ (2018)
36. Tanabe N, "Pathological comparisons of paraseptal and centrilobular emphysema in chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 202, pp.803~811 (2020)
37. Oguma T, "Limitations of airway dimension measurement on images obtained using multi-detector row computed tomography", PLoS One, 8, pp.e76381~ (2013)
38. Hata A, "Effect of matrix size on the image quality of ultra-high-resolution CT of the lung : comparison of 512 × 512, 1024 × 1024, and 2048 × 2048", Acad Radiol, 25, pp.869~876 (2018)
39. Kakinuma R, "Ultra-high-resolution computed tomography of the lung : image quality of a prototype scanner", PLoS One, 10, pp.e0137165~ (2015)
40. Su ZQ, "Evaluation of the normal airway morphology using optical coherence tomography", Chest, 156, pp.915~925 (2019)
41. Hasegawa M, "Airflow limitation and airway dimensions in chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 173, pp.1309~1315 (2006)
42. Kim WD, "Centrilobular and panlobular emphysema in smokers : two distinct morphologic and functional entities", Am Rev Respir Dis, 144, pp.1385~1390 (1991)
43. Saetta M, "Extent of centrilobular and panacinar emphysema in smokers’ lungs : pathological and mechanical implications", Eur Respir J, 7, pp.664~671 (1994)
44. Bosken CH, "Small airway dimensions in smokers with obstruction to airflow", Am Rev Respir Dis, 142, pp.563~570 (1990)
45. Sekine Y, "Early detection of COPD is important for lung cancer surveillance", Eur Respir J, 39, pp.1230~1240 (2012)
46. Van Tho N, "A mixed phenotype of airway wall thickening and emphysema is associated with dyspnea and hospitalization for chronic obstructive pulmonary disease", Ann Am Thorac Soc, 12, pp.988~996 (2015)
47. Oguma T, "Longitudinal shape irregularity of airway lumen assessed by CT in patients with bronchial asthma and COPD", Thorax, 70, pp.719~724 (2015)
48. Diaz AA, "Airway count and emphysema assessed by chest CT imaging predicts clinical outcome in smokers", Chest, 138, pp.880~887 (2010)
49. Kirby M, "Total airway count on computed tomography and the risk of chronic obstructive pulmonary disease progression. findings from a population-based study", Am J Respir Crit Care Med, 197, pp.56~65 (2018)
50. Tanabe N, "Associations of airway tree to lung volume ratio on computed tomography with lung function and symptoms in chronic obstructive pulmonary disease", Respir Res, 20, pp.77~ (2019)
51. Smith BM, "Association of dysanapsis with chronic obstructive pulmonary disease among older adults", JAMA, 323, pp.2268~2280 (2020)
52. Bodduluri S, "Airway fractal dimension predicts respiratory morbidity and mortality in COPD", J Clin Invest, 128, pp.5374~5382 (2018)
53. Bhatt SP, "Structural airway imaging metrics are differentially associated with persistent chronic bronchitis", Thorax, 76, pp.343~349 (2021)
54. Bodduluri S, "Computed tomography-based airway surface area-to-volume ratio for phenotyping airway remodeling in chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 203, pp.185~191 (2021)
55. Hasegawa M, "Relationship between improved airflow limitation and changes in airway calibre induced by inhaled anticholinergic agents in COPD", Thorax, 64, pp.332~338 (2009)
56. Kirby M, "Computed tomography total airway count is associated with the number of micro-computed tomography terminal bronchioles", Am J Respir Crit Care Med, 201, pp.613~615 (2020)
57. Lange P, "Lung-function trajectories leading to chronic obstructive pulmonary disease", N Engl J Med, 373, pp.111~122 (2015)
58. Marott JL, "Lung function trajectories leading to chronic obstructive pulmonary disease as predictors of exacerbations and mortality", Am J Respir Crit Care Med, 202, pp.210~218 (2020)
59. Bui DS, "Childhood predictors of lung function trajectories and future COPD risk : a prospective cohort study from the first to the sixth decade of life", Lancet Respir Med, 6, pp.535~544 (2018)
60. Mead J, "Dysanapsis in normal lungs assessed by the relationship between maximal flow, static recoil, and vital capacity", Am Rev Respir Dis, 121, pp.339~342 (1980)
61. Sheel AW, "Evidence for dysanapsis using computed tomographic imaging of the airways in older ex-smokers", J Appl Physiol (1985), 107, pp.1622~1628 (2009)
62. Vameghestahbanati M, "Central airway tree dysanapsis extends to the peripheral airways", Am J Respir Crit Care Med, 203, pp.378~381 (2021)
63. Ostridge K, "Using novel computed tomography analysis to describe the contribution and distribution of emphysema and small airways disease in chronic obstructive pulmonary disease", Ann Am Thorac Soc, 16, pp.990~997 (2019)
64. Kirby M, "A novel method of estimating small airway disease using inspiratory-to-expiratory computed tomography", Respiration, 94, pp.336~345 (2017)
65. Matsuoka S, "Quantitative assessment of air trapping in chronic obstructive pulmonary disease using inspiratory and expiratory volumetric MDCT", AJR Am J Roentgenol, 190, pp.762~769 (2008)
66. Labaki WW, "Voxel-wise longitudinal parametric response mapping analysis of chest computed tomography in smokers", Acad Radiol, 26, pp.217~223 (2019)
67. Matsuo Y, "Novel respiratory impedance-based phenotypes reflect different pathophysiologies in chronic obstructive pulmonary disease patients", Int J Chron Obstruct Pulmon Dis, 14, pp.2971~2977 (2019)
68. Bhatt SP, "Association between functional small airway disease and FEV1 decline in chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 194, pp.178~184 (2016)
69. Tanabe N, "Central airway and peripheral lung structures in airway disease-dominant COPD", ERJ Open Res, 7, pp.00672-2020~ (2021)
70. Young AL, "Disease progression modeling in chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 201, pp.294~302 (2020)
71. Bodduluri S, "Registration-based lung mechanical analysis of chronic obstructive pulmonary disease(COPD)using a supervised machine learning framework", Acad Radiol, 20, pp.527~536 (2013)
72. Choi S, "Registration-based assessment of regional lung function via volumetric CT images of normal subjects vs. severe asthmatics", J Appl Physiol (1985), 115, pp.730~742 (2013)
73. Bodduluri S, "Recent advances in computed tomography imaging in chronic obstructive pulmonary disease", Ann Am Thorac Soc, 15, pp.281~289 (2018)
74. Bhatt SP, "Computed tomography measure of lung at risk and lung function decline in chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 196, pp.569~576 (2017)
75. Chae KJ, "Relative regional air volume change maps at the acinar scale reflect variable ventilation in low lung attenuation of COPD patients", Acad Radiol, 27, pp.1540~1548 (2020)
76. Haghighi B, "Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics : the SubPopulations and intermediate outcome measures in COPD study(SPIROMICS)", Respir Res, 20, pp.153~ (2019)

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