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Lung
Published in: Lung 2/2012

Open Access 01-04-2012

Quantitative Computed Tomography in COPD: Possibilities and Limitations

Authors: O. M. Mets, P. A. de Jong, B. van Ginneken, H. A. Gietema, J. W. J. Lammers

Published in: Lung | Issue 2/2012

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Abstract

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease that is characterized by chronic airflow limitation. Unraveling of this heterogeneity is challenging but important, because it might enable more accurate diagnosis and treatment. Because spirometry cannot distinguish between the different contributing pathways of airflow limitation, and visual scoring is time-consuming and prone to observer variability, other techniques are sought to start this phenotyping process. Quantitative computed tomography (CT) is a promising technique, because current CT technology is able to quantify emphysema, air trapping, and large airway wall dimensions. This review focuses on CT quantification techniques of COPD disease components and their current status and role in phenotyping COPD.
Literature
1.
Global Initiative for Chronic Obstructive Pulmonary Disease. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. Updated 2010. Available at: http://​www.​goldcopd.​com. Accessed September 2011
2.
Reilly JJ (2008) COPD and declining FEV1—time to divide and conquer? N Engl J Med 359(15):1616–1618PubMedCrossRef
3.
Rennard SI, Vestbo J (2008) The many “small COPDs”: COPD should be an orphan disease. Chest 134(3):623–627PubMedCrossRef
4.
Friedlander AL, Lynch D, Dyar LA, Bowler RP (2007) Phenotypes of chronic obstructive pulmonary disease. COPD 4(4):355–384PubMedCrossRef
5.
Agusti A, Calverley PM, Celli B, Coxson HO, Edwards LD, Lomas DA, MacNee W, Miller BE, Rennard S, Silverman EK, Tal-Singer R, Wouters E, Yates JC, Vestbo J (2010) Characterisation of COPD heterogeneity in the ECLIPSE cohort. Respir Res 11:122PubMed
6.
7.
Coxson HO, Rogers RM (2005) Quantitative computed tomography of chronic obstructive pulmonary disease. Acad Radiol 12(11):1457–1463PubMedCrossRef
8.
Nakano Y, Muller NL, King GG, Niimi A, Kalloger SE, Mishima M, Pare PD (2002) Quantitative assessment of airway remodeling using high-resolution CT. Chest 122(6 Suppl):271S–275SPubMed
9.
Yamashiro T, Matsuoka S, Bartholmai BJ, San Jose ER, Ross JC, Diaz A, Murayama S, Silverman EK, Hatabu H, Washko GR (2010) Collapsibility of lung volume by paired inspiratory and expiratory CT scans: correlations with lung function and mean lung density. Acad Radiol 17(4):489–495PubMedCrossRef
10.
Matsuoka S, Kurihara Y, Yagihashi K, Hoshino M, Watanabe N, Nakajima Y (2008) Quantitative assessment of air trapping in chronic obstructive pulmonary disease using inspiratory and expiratory volumetric MDCT. AJR Am J Roentgenol 190(3):762–769PubMedCrossRef
11.
Hogg JC, Macklem PT, Thurlbeck WM (1968) Site and nature of airway obstruction in chronic obstructive lung disease. N Engl J Med 278(25):1355–1360PubMedCrossRef
12.
Hogg JC, Chu F, Utokaparch S, Woods R, Elliott WM, Buzatu L, Cherniack RM, Rogers RM, Sciurba FC, Coxson HO, Pare PD (2004) The nature of small-airway obstruction in chronic obstructive pulmonary disease. N Engl J Med 350(26):2645–2653PubMedCrossRef
13.
Hansell DM, Bankier AA, MacMahon H, McLoud TC, Muller NL, Remy J (2008) Fleischner Society: glossary of terms for thoracic imaging. Radiology 246(3):697–722PubMedCrossRef
14.
Cavigli E, Camiciottoli G, Diciotti S, Orlandi I, Spinelli C, Meoni E, Grassi L, Farfalla C, Pistolesi M, Falaschi F, Mascalchi M (2009) Whole-lung densitometry versus visual assessment of emphysema. Eur Radiol 19(7):1686–1692PubMedCrossRef
15.
Bakker ME, Stolk J, Putter H, Shaker SB, Parr DG, Piitulainen E, Russi EW, Dirksen A, Stockley RA, Reiber JH, Stoel BC (2005) Variability in densitometric assessment of pulmonary emphysema with computed tomography. Invest Radiol 40(12):777–783PubMedCrossRef
16.
Stolk J, Dirksen A, van der Lugt AA, Hutsebaut J, Mathieu J, de RJ, Reiber JH, Stoel BC (2001) Repeatability of lung density measurements with low-dose computed tomography in subjects with alpha-1-antitrypsin deficiency-associated emphysema. Invest Radiol 36(11):648–651
17.
Shaker SB, Dirksen A, Laursen LC, Maltbaek N, Christensen L, Sander U, Seersholm N, Skovgaard LT, Nielsen L, Kok-Jensen A (2004) Short-term reproducibility of computed tomography-based lung density measurements in alpha-1 antitrypsin deficiency and smokers with emphysema. Acta Radiol 45(4):424–430PubMedCrossRef
18.
Gierada DS, Yusen RD, Pilgram TK, Crouch L, Slone RM, Bae KT, Lefrak SS, Cooper JD (2001) Repeatability of quantitative CT indexes of emphysema in patients evaluated for lung volume reduction surgery. Radiology 220(2):448–454PubMed
19.
Hayhurst MD, MacNee W, Flenley DC, Wright D, McLean A, Lamb D, Wightman AJ, Best J (1984) Diagnosis of pulmonary emphysema by computerised tomography. Lancet 2(8398):320–322PubMedCrossRef
20.
Muller NL, Staples CA, Miller RR, Abboud RT (1988) “Density mask”: an objective method to quantitate emphysema using computed tomography. Chest 94(4):782–787PubMedCrossRef
21.
Matsuoka S, Yamashiro T, Washko GR, Kurihara Y, Nakajima Y, Hatabu H (2010) Quantitative CT assessment of chronic obstructive pulmonary disease. Radiographics 30(1):55–66PubMedCrossRef
22.
23.
Madani A, Zanen J, De Maertelaer V, Gevenois PA (2006) Pulmonary emphysema: objective quantification at multi-detector row CT: comparison with macroscopic and microscopic morphometry. Radiology 238(3):1036–1043PubMedCrossRef
24.
Gevenois PA, De Maertelaer V, De Vuyst P, Zanen J, Yernault JC (1995) Comparison of computed density and macroscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med 152(2):653–657PubMed
25.
Gevenois PA, De Vuyst P, de Maertelaer V, Zanen J, Jacobovitz D, Cosio MG, Yernault JC (1996) Comparison of computed density and microscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med 154(1):187–192PubMed
26.
Newell JD Jr, Hogg JC, Snider GL (2004) Report of a workshop: quantitative computed tomography scanning in longitudinal studies of emphysema. Eur Respir J 23(5):769–775PubMedCrossRef
27.
Hochhegger B, Marchiori E, Irion KL, Moreira J (2010) Are we measuring pulmonary emphysema? Respir Med 104(7):1073PubMedCrossRef
28.
Gierada DS, Bierhals AJ, Choong CK, Bartel ST, Ritter JH, Das NA, Hong C, Pilgram TK, Bae KT, Whiting BR, Woods JC, Hogg JC, Lutey BA, Battafarano RJ, Cooper JD, Meyers BF, Patterson GA (2010) Effects of CT section thickness and reconstruction kernel on emphysema quantification relationship to the magnitude of the CT emphysema index. Acad Radiol 17(2):146–156PubMedCrossRef
29.
Ley-Zaporozhan J, Ley S, Weinheimer O, Iliyushenko S, Erdugan S, Eberhardt R, Fuxa A, Mews J, Kauczor HU (2008) Quantitative analysis of emphysema in 3D using MDCT: influence of different reconstruction algorithms. Eur J Radiol 65(2):228–234PubMedCrossRef
30.
Reske AW, Busse H, Amato MB, Jaekel M, Kahn T, Schwarzkopf P, Schreiter D, Gottschaldt U, Seiwerts M (2008) Image reconstruction affects computer tomographic assessment of lung hyperinflation. Intensive Care Med 34(11):2044–2053PubMedCrossRef
31.
Boedeker KL, Nitt-Gray MF, Rogers SR, Truong DA, Brown MS, Gjertson DW, Goldin JG (2004) Emphysema: effect of reconstruction algorithm on CT imaging measures. Radiology 232(1):295–301PubMedCrossRef
32.
Madani A, De Maertelaer V, Zanen J, Gevenois PA (2007) Pulmonary emphysema: radiation dose and section thickness at multidetector CT quantification—comparison with macroscopic and microscopic morphometry. Radiology 243(1):250–257PubMedCrossRef
33.
Madani A, Van Muylem A, Gevenois PA (2010) Pulmonary emphysema: effect of lung volume on objective quantification at thin-section CT. Radiology 257(1):260–268PubMedCrossRef
34.
Wiemker R, Opfer R, Bülow T, Rogalla P, Steinberg A, Dharaiya E, Subramanyan K (2007) Toward computer-aided emphysema quantification on ultralow-dose CT: reproducibility of ventrodorsal gravity effect measurement and correction. Proc SPIE 6514(65140O-1-65140O-11)
35.
Yuan R, Mayo JR, Hogg JC, Pare PD, McWilliams AM, Lam S, Coxson HO (2007) The effects of radiation dose and CT manufacturer on measurements of lung densitometry. Chest 132(2):617–623PubMedCrossRef
36.
Stoel BC, Putter H, Bakker ME, Dirksen A, Stockley RA, Piitulainen E, Russi EW, Parr D, Shaker SB, Reiber JH, Stolk J (2008) Volume correction in computed tomography densitometry for follow-up studies on pulmonary emphysema. Proc Am Thorac Soc 5(9):919–924PubMedCrossRef
37.
Shaker SB, Dirksen A, Laursen LC, Skovgaard LT, Holstein-Rathlou NH (2004) Volume adjustment of lung density by computed tomography scans in patients with emphysema. Acta Radiol 45(4):417–423PubMedCrossRef
38.
Mohamed Hoesein FA, de Hoop B, Zanen P, Gietema H, Kruitwagen CL, van Ginneken B, Isgum I, Mol C, van Klaveren RJ, Dijkstra AE, Groen HJ, Boezen HM, Postma DS, Prokop M, Lammers JW (2011) CT-quantified emphysema in male heavy smokers: association with lung function decline. Thorax. doi:10.​1136/​thx.​2010.​145995
39.
Gierada DS, Pilgram TK, Whiting BR, Hong C, Bierhals AJ, Kim JH, Bae KT (2007) Comparison of standard- and low-radiation-dose CT for quantification of emphysema. AJR Am J Roentgenol 188(1):42–47PubMedCrossRef
40.
Zaporozhan J, Ley S, Weinheimer O, Eberhardt R, Tsakiris I, Noshi Y, Herth F, Kauczor HU (2006) Multi-detector CT of the chest: influence of dose onto quantitative evaluation of severe emphysema: a simulation study. J Comput Assist Tomogr 30(3):460–468PubMedCrossRef
41.
Koyama H, Ohno Y, Yamazaki Y, Nogami M, Murase K, Onishi Y, Matsumoto K, Takenaka D, Sugimura K (2010) Quantitative and qualitative assessments of lung destruction and pulmonary functional loss from reduced-dose thin-section CT in pulmonary emphysema patients. Acad Radiol 17(2):163–168PubMedCrossRef
42.
Schilham AM, van Ginneken B, Gietema H, Prokop M (2006) Local noise weighted filtering for emphysema scoring of low-dose CT images. IEEE Trans Med Imaging 25(4):451–463PubMedCrossRef
43.
Heussel CP, Herth FJ, Kappes J, Hantusch R, Hartlieb S, Weinheimer O, Kauczor HU, Eberhardt R (2009) Fully automatic quantitative assessment of emphysema in computed tomography: comparison with pulmonary function testing and normal values. Eur Radiol 19(10):2391–2402PubMedCrossRef
44.
Yuan R, Nagao T, Pare PD, Hogg JC, Sin DD, Elliott MW, Loy L, Xing L, Kalloger SE, English JC, Mayo JR, Coxson HO (2010) Quantification of lung surface area using computed tomography. Respir Res 11:153PubMedCrossRef
45.
Lee YK, Oh YM, Lee JH, Kim EK, Lee JH, Kim N, Seo JB, Lee SD (2008) Quantitative assessment of emphysema, air trapping, and airway thickening on computed tomography. Lung 186(3):157–165PubMedCrossRef
46.
Coxson HO, Rogers RM, Whittall KP, D’yachkova Y, Pare PD, Sciurba FC, Hogg JC (1999) A quantification of the lung surface area in emphysema using computed tomography. Am J Respir Crit Care Med 159(3):851–856PubMed
47.
Uppaluri R, Mitsa T, Sonka M, Hoffman EA, McLennan G (1997) Quantification of pulmonary emphysema from lung computed tomography images. Am J Respir Crit Care Med 156(1):248–254PubMed
48.
Uppaluri R, Hoffman EA, Sonka M, Hartley PG, Hunninghake GW, McLennan G (1999) Computer recognition of regional lung disease patterns. Am J Respir Crit Care Med 160(2):648–654PubMed
49.
Xu Y, Sonka M, McLennan G, Guo J, Hoffman EA (2006) MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies. IEEE Trans Med Imaging 25(4):464–475PubMedCrossRef
50.
Blechschmidt RA, Werthschutzky R, Lorcher U (2001) Automated CT image evaluation of the lung: a morphology-based concept. IEEE Trans Med Imaging 20(5):434–442PubMedCrossRef
51.
Sorensen L, Shaker SB, de Bruijne M (2010) Quantitative analysis of pulmonary emphysema using local binary patterns. IEEE Trans Med Imaging 29(2):559–569PubMedCrossRef
52.
Park YS, Seo JB, Kim N, Chae EJ, Oh YM, Lee SD, Lee Y, Kang SH (2008) Texture-based quantification of pulmonary emphysema on high-resolution computed tomography: comparison with density-based quantification and correlation with pulmonary function test. Invest Radiol 43(6):395–402PubMedCrossRef
53.
Mishima M, Hirai T, Itoh H, Nakano Y, Sakai H, Muro S, Nishimura K, Oku Y, Chin K, Ohi M, Nakamura T, Bates JH, Alencar AM, Suki B (1999) Complexity of terminal airspace geometry assessed by lung computed tomography in normal subjects and patients with chronic obstructive pulmonary disease. Proc Natl Acad Sci USA 96(16):8829–8834PubMedCrossRef
54.
Madani A, Van Muylem A, De Maertelaer V, Zanen J, Gevenois PA (2008) Pulmonary emphysema: size distribution of emphysematous spaces on multidetector CT images—comparison with macroscopic and microscopic morphometry. Radiology 248(3):1036–1041PubMedCrossRef
55.
Tiddens HA, Pare PD, Hogg JC, Hop WC, Lambert R, de Jongste JC (1995) Cartilaginous airway dimensions and airflow obstruction in human lungs. Am J Respir Crit Care Med 152(1):260–266PubMed
56.
Aziz ZA, Wells AU, Desai SR, Ellis SM, Walker AE, MacDonald S, Hansell DM (2005) Functional impairment in emphysema: contribution of airway abnormalities and distribution of parenchymal disease. AJR Am J Roentgenol 185(6):1509–1515PubMedCrossRef
57.
Patel BD, Coxson HO, Pillai SG, Agusti AG, Calverley PM, Donner CF, Make BJ, Muller NL, Rennard SI, Vestbo J, Wouters EF, Hiorns MP, Nakano Y, Camp PG, Nasute Fauerbach PV, Screaton NJ, Campbell EJ, Anderson WH, Pare PD, Levy RD, Lake SL, Silverman EK, Lomas DA (2008) Airway wall thickening and emphysema show independent familial aggregation in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 178(5):500–505PubMedCrossRef
58.
Nakano Y, Wong JC, de Jong PA, Buzatu L, Nagao T, Coxson HO, Elliott WM, Hogg JC, Pare PD (2005) The prediction of small airway dimensions using computed tomography. Am J Respir Crit Care Med 171(2):142–146PubMedCrossRef
59.
McNamara AE, Muller NL, Okazawa M, Arntorp J, Wiggs BR, Pare PD (1992) Airway narrowing in excised canine lungs measured by high-resolution computed tomography. J Appl Physiol 73(1):307–316PubMed
60.
Reinhardt JM, D’Souza ND, Hoffman EA (1997) Accurate measurement of intrathoracic airways. IEEE Trans Med Imaging 16(6):820–827PubMedCrossRef
61.
Saba OI, Hoffman EA, Reinhardt JM (2003) Maximizing quantitative accuracy of lung airway lumen and wall measures obtained from X-ray CT imaging. J Appl Physiol 95(3):1063–1075PubMed
62.
King GG, Muller NL, Whittall KP, Xiang QS, Pare PD (2000) An analysis algorithm for measuring airway lumen and wall areas from high-resolution computed tomographic data. Am J Respir Crit Care Med 161(2 Pt 1):574–580
63.
Weinheimer O, Achenbach T, Bletz C, Duber C, Kauczor HU, Heussel CP (2008) About objective 3-d analysis of airway geometry in computerized tomography. IEEE Trans Med Imaging 27(1):64–74PubMedCrossRef
64.
Nakano Y, Whittall KP, Kalloger SE, Coxson H, Pare PD, English JC (2002) Development and validation of human airway analysis algorithm using multidetector row CT. Proc SPIE 4683:460–469CrossRef
65.
Saragaglia A, Fetita C, Preteux F, Brillet P, Grenier P (2005) Accurate 3D quantification of the bronchial parameters in MDCT. Proc SPIE 5916:323–334
66.
Berger P, Perot V, Desbarats P, Tunon-de-Lara JM, Marthan R, Laurent F (2005) Airway wall thickness in cigarette smokers: quantitative thin-section CT assessment. Radiology 235(3):1055–1064PubMedCrossRef
67.
Hasegawa M, Nasuhara Y, Onodera Y, Makita H, Nagai K, Fuke S, Ito Y, Betsuyaku T, Nishimura M (2006) Airflow limitation and airway dimensions in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 173(12):1309–1315PubMedCrossRef
68.
Achenbach T, Weinheimer O, Biedermann A, Schmitt S, Freudenstein D, Goutham E, Kunz RP, Buhl R, Dueber C, Heussel CP (2008) MDCT assessment of airway wall thickness in COPD patients using a new method: correlations with pulmonary function tests. Eur Radiol 18(12):2731–2738PubMedCrossRef
69.
Matsuoka S, Kurihara Y, Yagihashi K, Hoshino M, Nakajima Y (2008) Airway dimensions at inspiratory and expiratory multisection CT in chronic obstructive pulmonary disease: correlation with airflow limitation. Radiology 248(3):1042–1049PubMedCrossRef
70.
Nakano Y, Muro S, Sakai H, Hirai T, Chin K, Tsukino M, Nishimura K, Itoh H, Pare PD, Hogg JC, Mishima M (2000) Computed tomographic measurements of airway dimensions and emphysema in smokers. Correlation with lung function. Am J Respir Crit Care Med 162(3 Pt 1):1102–1108PubMed
71.
Coxson HO, Mayo J, Lam S, Santyr G, Parraga G, Sin DD (2009) New and current clinical imaging techniques to study chronic obstructive pulmonary disease. Am J Respir Crit Care Med 180(7):588–597PubMedCrossRef
72.
Washko GR, Dransfield MT, Estepar RS, Diaz A, Matsuoka S, Yamashiro T, Hatabu H, Silverman EK, Bailey WC, Reilly JJ (2009) Airway wall attenuation: a biomarker of airway disease in subjects with COPD. J Appl Physiol 107(1):185–191PubMedCrossRef
73.
Yamashiro T, Matsuoka S, Estepar RS, Dransfield MT, Diaz A, Reilly JJ, Patz S, Murayama S, Silverman EK, Hatabu H, Washko GR (2010) Quantitative assessment of bronchial wall attenuation with thin-section CT: an indicator of airflow limitation in chronic obstructive pulmonary disease. AJR Am J Roentgenol 195(2):363–369PubMedCrossRef
74.
Williamson JP, James AL, Phillips MJ, Sampson DD, Hillman DR, Eastwood PR (2009) Quantifying tracheobronchial tree dimensions: methods, limitations and emerging techniques. Eur Respir J 34(1):42–55PubMedCrossRef
75.
Kim N, Seo JB, Song KS, Chae EJ, Kang SH (2008) Semi-automatic measurement of the airway dimension by computed tomography using the full-width-half-maximum method: a study on the measurement accuracy according to the CT parameters and size of the airway. Korean J Radiol 9(3):226–235PubMedCrossRef
76.
Achenbach T, Weinheimer O, Dueber C, Heussel CP (2009) Influence of pixel size on quantification of airway wall thickness in computed tomography. J Comput Assist Tomogr 33(5):725–730PubMedCrossRef
77.
Schmidt M, Kuhnigk JM, Krass S, Owsijewitsch M, Hoop BJ, Peitgen H (2010) Reproducibility of airway wall thickness measurements. Proc SPIE 7624(10)
78.
de Jong PA, Long FR, Nakano Y (2006) Computed tomography dose and variability of airway dimension measurements: how low can we go? Pediatr Radiol 36(10):1043–1047PubMedCrossRef
79.
Tschirren J, Hoffman EA, McLennan G, Sonka M (2005) Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans. IEEE Trans Med Imaging 24(12):1529–1539PubMedCrossRef
80.
Brillet PY, Fetita CI, Capderou A, Mitrea M, Dreuil S, Simon JM, Preteux F, Grenier PA (2009) Variability of bronchial measurements obtained by sequential CT using two computer-based methods. Eur Radiol 19(5):1139–1147PubMedCrossRef
81.
Hashimoto M, Tate E, Watarai J, Sasaki M (2006) Air trapping on computed tomography images of healthy individuals: effects of respiration and body mass index. Clin Radiol 61(10):883–887PubMedCrossRef
82.
Tanaka N, Matsumoto T, Miura G, Emoto T, Matsunaga N, Ueda K, Lynch DA (2003) Air trapping at CT: high prevalence in asymptomatic subjects with normal pulmonary function. Radiology 227(3):776–785PubMedCrossRef
83.
Lee KW, Chung SY, Yang I, Lee Y, Ko EY, Park MJ (2000) Correlation of aging and smoking with air trapping at thin-section CT of the lung in asymptomatic subjects. Radiology 214(3):831–836PubMed
84.
Chen D, Webb WR, Storto ML, Lee KN (1998) Assessment of air trapping using postexpiratory high-resolution computed tomography. J Thorac Imaging 13(2):135–143PubMedCrossRef
85.
Webb WR, Stern EJ, Kanth N, Gamsu G (1993) Dynamic pulmonary CT: findings in healthy adult men. Radiology 186(1):117–124PubMed
86.
Mastora I, Remy-Jardin M, Sobaszek A, Boulenguez C, Remy J, Edme JL (2001) Thin-section CT finding in 250 volunteers: assessment of the relationship of CT findings with smoking history and pulmonary function test results. Radiology 218(3):695–702PubMed
87.
Regan EA, Hokanson JE, Murphy JR, Make B, Lynch DA, Beaty TH, Curran-Everett D, Silverman EK, Crapo JD (2010) Genetic epidemiology of COPD (COPDGene) study design. COPD 7(1):32–43PubMedCrossRef
88.
Jain N, Covar RA, Gleason MC, Newell JD Jr, Gelfand EW, Spahn JD (2005) Quantitative computed tomography detects peripheral airway disease in asthmatic children. Pediatr Pulmonol 40(3):211–218PubMedCrossRef
89.
Matsuoka S, Kurihara Y, Yagihashi K, Nakajima Y (2007) Quantitative assessment of peripheral airway obstruction on paired expiratory/inspiratory thin-section computed tomography in chronic obstructive pulmonary disease with emphysema. J Comput Assist Tomogr 31(3):384–389PubMedCrossRef
90.
Torigian DA, Gefter WB, Affuso JD, Emami K, Dougherty L (2007) Application of an optical flow method to inspiratory and expiratory lung MDCT to assess regional air trapping: a feasibility study. AJR Am J Roentgenol 188(3):W276–W280PubMedCrossRef
91.
Kurosawa H, Kohzuki M (2004) Images in clinical medicine. Dynamic airway narrowing. N Engl J Med 350(10):1036PubMedCrossRef
92.
Sverzellati N, Rastelli A, Chetta A, Schembri V, Fasano L, Pacilli AM, Di SV, Bartalena T, De FM, Zompatori M (2009) Airway malacia in chronic obstructive pulmonary disease: prevalence, morphology and relationship with emphysema, bronchiectasis and bronchial wall thickening. Eur Radiol 19(7):1669–1678
93.
Ohara T, Hirai T, Muro S, Haruna A, Terada K, Kinose D, Marumo S, Ogawa E, Hoshino Y, Niimi A, Chin K, Mishima M (2008) Relationship between pulmonary emphysema and osteoporosis assessed by CT in patients with COPD. Chest 134(6):1244–1249PubMedCrossRef
94.
Bon J, Fuhrman CR, Weissfeld JL, Duncan SR, Branch RA, Chang CC, Zhang Y, Leader JK, Gur D, Greenspan SL, Sciurba FC (2011) Radiographic emphysema predicts low bone mineral density in a tobacco-exposed cohort. Am J Respir Crit Care Med 183(7):885–890PubMedCrossRef
95.
Diaz AA, Bartholmai B, San Jose ER, Ross J, Matsuoka S, Yamashiro T, Hatabu H, Reilly JJ, Silverman EK, Washko GR (2010) Relationship of emphysema and airway disease assessed by CT to exercise capacity in COPD. Respir Med 104(8):1145–1151PubMedCrossRef
96.
Han MK, Bartholmai B, Liu LX, Murray S, Curtis JL, Sciurba FC, Kazerooni EA, Thompson B, Frederick M, Li D, Schwarz M, Limper A, Freeman C, Landreneau RJ, Wise R, Martinez FJ (2009) Clinical significance of radiologic characterizations in COPD. COPD 6(6):459–467PubMedCrossRef
97.
Han MK, Kazerooni EA, Lynch DA, Liu LX, Murray S, Curtis JL, Criner GJ, Kim V, Bowler RP, Hanania NA, Anzueto AR, Make BJ, Hokanson JE, Crapo JD, Silverman EK, Martinez FJ, Washko GR (2011) Chronic obstructive pulmonary disease exacerbations in the COPDGene Study: associated radiologic phenotypes. Radiology 261(1):274–282PubMedCrossRef
98.
Grydeland TB, Dirksen A, Coxson HO, Eagan TM, Thorsen E, Pillai SG, Sharma S, Eide GE, Gulsvik A, Bakke PS (2010) Quantitative computed tomography measures of emphysema and airway wall thickness are related to respiratory symptoms. Am J Respir Crit Care Med 181(4):353–359PubMedCrossRef
99.
Mets OM, Murphy K, Zanen P, Gietema HA, Lammers JW, van Ginneken B, Prokop M, de Jong PA (2011) The relationship between lung function impairment and quantitative computed tomography in chronic obstructive pulmonary disease. Eur Radiol. doi:10.​1007/​s00330-011-2237-9
100.
Haruna A, Muro S, Nakano Y, Ohara T, Hoshino Y, Ogawa E, Hirai T, Niimi A, Nishimura K, Chin K, Mishima M (2010) CT scan findings of emphysema predict mortality in COPD. Chest 138(3):635–640PubMedCrossRef
101.
Cederlund K, Tylen U, Jorfeldt L, Aspelin P (2002) Classification of emphysema in candidates for lung volume reduction surgery: a new objective and surgically oriented model for describing CT severity and heterogeneity. Chest 122(2):590–596PubMedCrossRef
102.
Nakano Y, Coxson HO, Bosan S, Rogers RM, Sciurba FC, Keenan RJ, Walley KR, Pare PD, Hogg JC (2001) Core to rind distribution of severe emphysema predicts outcome of lung volume reduction surgery. Am J Respir Crit Care Med 164(12):2195–2199PubMed
103.
Flaherty KR, Kazerooni EA, Curtis JL, Iannettoni M, Lange L, Schork MA, Martinez FJ (2001) Short-term and long-term outcomes after bilateral lung volume reduction surgery: prediction by quantitative CT. Chest 119(5):1337–1346PubMedCrossRef
104.
Martinez FJ, Foster G, Curtis JL, Criner G, Weinmann G, Fishman A, DeCamp MM, Benditt J, Sciurba F, Make B, Mohsenifar Z, Diaz P, Hoffman E, Wise R (2006) Predictors of mortality in patients with emphysema and severe airflow obstruction. Am J Respir Crit Care Med 173(12):1326–1334PubMedCrossRef
105.
Rogers RM, Coxson HO, Sciurba FC, Keenan RJ, Whittall KP, Hogg JC (2000) Preoperative severity of emphysema predictive of improvement after lung volume reduction surgery: use of CT morphometry. Chest 118(5):1240–1247PubMedCrossRef
106.
Stockley RA, Parr DG, Piitulainen E, Stolk J, Stoel BC, Dirksen A (2010) Therapeutic efficacy of alpha-1 antitrypsin augmentation therapy on the loss of lung tissue: an integrated analysis of 2 randomised clinical trials using computed tomography densitometry. Respir Res 11:136PubMedCrossRef
107.
Parr DG, White AJ, Bayley DL, Guest PJ, Stockley RA (2006) Inflammation in sputum relates to progression of disease in subjects with COPD: a prospective descriptive study. Respir Res 7:136PubMedCrossRef
108.
Dirksen A, Dijkman JH, Madsen F, Stoel B, Hutchison DC, Ulrik CS, Skovgaard LT, Kok-Jensen A, Rudolphus A, Seersholm N, Vrooman HA, Reiber JH, Hansen NC, Heckscher T, Viskum K, Stolk J (1999) A randomized clinical trial of alpha(1)-antitrypsin augmentation therapy. Am J Respir Crit Care Med 160(5 Pt 1):1468–1472PubMed
109.
Dowson LJ, Guest PJ, Stockley RA (2001) Longitudinal changes in physiological, radiological, and health status measurements in alpha(1)-antitrypsin deficiency and factors associated with decline. Am J Respir Crit Care Med 164(10 Pt 1):1805–1809PubMed
110.
Stolk J, Ng WH, Bakker ME, Reiber JH, Rabe KF, Putter H, Stoel BC (2003) Correlation between annual change in health status and computer tomography derived lung density in subjects with alpha1-antitrypsin deficiency. Thorax 58(12):1027–1030PubMedCrossRef
111.
Stolk J, Putter H, Bakker EM, Shaker SB, Parr DG, Piitulainen E, Russi EW, Grebski E, Dirksen A, Stockley RA, Reiber JH, Stoel BC (2007) Progression parameters for emphysema: a clinical investigation. Respir Med 101(9):1924–1930PubMedCrossRef
112.
Yuan R, Hogg JC, Pare PD, Sin DD, Wong JC, Nakano Y, McWilliams AM, Lam S, Coxson HO (2009) Prediction of the rate of decline in FEV(1) in smokers using quantitative computed tomography. Thorax 64(11):944–949PubMedCrossRef
113.
Ohara T, Hirai T, Sato S, Terada K, Kinose D, Haruna A, Marumo S, Nishioka M, Ogawa E, Nakano Y, Hoshino Y, Ito Y, Matsumoto H, Niimi A, Mio T, Chin K, Muro S, Mishima M (2008) Longitudinal study of airway dimensions in chronic obstructive pulmonary disease using computed tomography. Respirology 13(3):372–378PubMedCrossRef
114.
Makita H, Nasuhara Y, Nagai K, Ito Y, Hasegawa M, Betsuyaku T, Onodera Y, Hizawa N, Nishimura M (2007) Characterisation of phenotypes based on severity of emphysema in chronic obstructive pulmonary disease. Thorax 62(11):932–937PubMedCrossRef
115.
Kim WD, Ling SH, Coxson HO, English JC, Yee J, Levy RD, Pare PD, Hogg JC (2007) The association between small airway obstruction and emphysema phenotypes in COPD. Chest 131(5):1372–1378PubMedCrossRef
116.
Boschetto P, Miniati M, Miotto D, Braccioni F, De RE, Bononi I, Papi A, Saetta M, Fabbri LM, Mapp CE (2003) Predominant emphysema phenotype in chronic obstructive pulmonary. Eur Respir J 21(3):450–454PubMed
117.
Orlandi I, Moroni C, Camiciottoli G, Bartolucci M, Pistolesi M, Villari N, Mascalchi M (2005) Chronic obstructive pulmonary disease: thin-section CT measurement of airway wall thickness and lung attenuation. Radiology 234(2):604–610PubMedCrossRef
118.
Alford SK, van Beek EJ, McLennan G, Hoffman EA (2010) Heterogeneity of pulmonary perfusion as a mechanistic image-based phenotype in emphysema susceptible smokers. Proc Natl Acad Sci USA 107(16):7485–7490PubMedCrossRef
119.
Han MK, Agusti A, Calverley PM, Celli BR, Criner G, Curtis JL, Fabbri LM, Goldin JG, Jones PW, MacNee W, Make BJ, Rabe KF, Rennard SI, Sciurba FC, Silverman EK, Vestbo J, Washko GR, Wouters EF, Martinez FJ (2010) Chronic obstructive pulmonary disease phenotypes: the future of COPD. Am J Respir Crit Care Med 182(5):598–604PubMedCrossRef
120.
Fujimoto K, Kitaguchi Y, Kubo K, Honda T (2006) Clinical analysis of chronic obstructive pulmonary disease phenotypes classified using high-resolution computed tomography. Respirology 11(6):731–740PubMedCrossRef
121.
Kitaguchi Y, Fujimoto K, Kubo K, Honda T (2006) Characteristics of COPD phenotypes classified according to the findings of HRCT. Respir Med 100(10):1742–1752PubMedCrossRef
122.
Mets OM, Buckens CF, Zanen P, Isgum I, van GB, Prokop M, Gietema HA, Lammers JW, Vliegenthart R, Oudkerk M, van Klaveren RJ, de Koning HJ, Mali WP, de Jong PA (2011) Identification of chronic obstructive pulmonary disease in lung cancer screening computed tomographic scans. JAMA 306(16):1775–1781
123.
Brenner DJ, Doll R, Goodhead DT, Hall EJ, Land CE, Little JB, Lubin JH, Preston DL, Preston RJ, Puskin JS, Ron E, Sachs RK, Samet JM, Setlow RB, Zaider M (2003) Cancer risks attributable to low doses of ionizing radiation: assessing what we really know. Proc Natl Acad Sci USA 100(24):13761–13766PubMedCrossRef
Metadata
Title
Quantitative Computed Tomography in COPD: Possibilities and Limitations
Authors
O. M. Mets
P. A. de Jong
B. van Ginneken
H. A. Gietema
J. W. J. Lammers
Publication date
01-04-2012
Publisher
Springer-Verlag
Published in
Lung / Issue 2/2012
Print ISSN: 0341-2040
Electronic ISSN: 1432-1750
DOI
https://doi.org/10.1007/s00408-011-9353-9

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