Literature DB >> 19458953

Fully automatic quantitative assessment of emphysema in computed tomography: comparison with pulmonary function testing and normal values.

C P Heussel1, F J F Herth, J Kappes, R Hantusch, S Hartlieb, O Weinheimer, H U Kauczor, R Eberhardt.   

Abstract

Characterisation and quantification of emphysema are necessary for planning of local treatment and monitoring. Sensitive, easy to measure, and stable parameters have to be established and their relation to the well-known pulmonary function testing (PFT) has to be investigated. A retrospective analysis of 221 nonenhanced thin-section MDCT with a corresponding PFT was carried out, with a subgroup analysis in 102 COPD stage III+IV, 44 COPD stage 0, and 33 investigations into interstitial lung disease (ILD). The in-house YACTA software was used for automatic quantification of lung and emphysema volume [l], emphysema index, mean lung density (MLD [HU]) and 15(th) percentile [HU]. CT-derived lung volume is significantly smaller in ILD (3.8) and larger in COPD (7.2) than in controls (5.9, p < 0.0001). Emphysema volume and index are significantly higher in COPD than in controls (3.2 vs. 0.5, p < 0.0001, 45% vs. 8%, p < 0.0001). MLD and 15(th) percentile are significantly smaller in COPD (-877/-985, p < 0.0001) and significantly higher in ILD (-777, p < 0.0006/-914, p < 0.0001) than in controls (-829/-935). A relevant amount of COPD patients apparently do not suffer from emphysema, while controls who do not fulfil PFT criteria for COPD also demonstrate CT features of emphysema. Automatic quantification of thin-section CT delivers convincing parameters and ranges that are able to differentiate among emphysema, control and ILD. An emphysema index of lower 20%, MLD higher than -850, and 15(th) percentile lower than -950 might be regarded as normal (thin-section, nonenhanced, B40, YACTA). These ranges might be helpful in the judgement of individual measures.

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Year:  2009        PMID: 19458953     DOI: 10.1007/s00330-009-1437-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  36 in total

1.  Optimized scanning conditions of high resolution CT in the follow-up of pulmonary emphysema.

Authors:  M Mishima; H Itoh; H Sakai; Y Nakano; S Muro; T Hirai; Y Takubo; K Chin; M Ohi; K Nishimura; K Yamaguchi; T Nakamura
Journal:  J Comput Assist Tomogr       Date:  1999 May-Jun       Impact factor: 1.826

Review 2.  CT quantification of pulmonary emphysema: assessment of lung structure and function.

Authors:  Alexander A Bankier; Afarine Madani; Pierre Alain Gevenois
Journal:  Crit Rev Comput Tomogr       Date:  2002

3.  Quantitative CT in chronic obstructive pulmonary disease: inspiratory and expiratory assessment.

Authors:  Masanori Akira; Kazushige Toyokawa; Yoshikazu Inoue; Toru Arai
Journal:  AJR Am J Roentgenol       Date:  2009-01       Impact factor: 3.959

4.  Quantitation of emphysema by computed tomography using a "density mask" program and correlation with pulmonary function tests.

Authors:  M Kinsella; N L Müller; R T Abboud; N J Morrison; A DyBuncio
Journal:  Chest       Date:  1990-02       Impact factor: 9.410

5.  Multi-detector CT of the chest: influence of dose onto quantitative evaluation of severe emphysema: a simulation study.

Authors:  Julia Zaporozhan; Sebastian Ley; Oliver Weinheimer; Ralf Eberhardt; Ioannis Tsakiris; Yasuhiro Noshi; Felix Herth; Hans-Ulrich Kauczor
Journal:  J Comput Assist Tomogr       Date:  2006 May-Jun       Impact factor: 1.826

6.  [Quantification of pulmonary emphysema in multislice-CT using different software tools].

Authors:  C P Heussel; T Achenbach; C Buschsieweke; J Kuhnigk; O Weinheimer; G Hammer; C Düber; H-U Kauczor
Journal:  Rofo       Date:  2006-10

7.  [Does HRCT-emphysema index represent the entire lung?].

Authors:  T Achenbach; C Buschsieweke; A Gerhards; K Gast; C P Heussel; M Thelen
Journal:  Rofo       Date:  2005-05

8.  Repeatability of lung density measurements with low-dose computed tomography in subjects with alpha-1-antitrypsin deficiency-associated emphysema.

Authors:  J Stolk; A Dirksen; A A van der Lugt; J Hutsebaut; J Mathieu; J de Ree; J H Reiber; B C Stoel
Journal:  Invest Radiol       Date:  2001-11       Impact factor: 6.016

9.  "Density mask". An objective method to quantitate emphysema using computed tomography.

Authors:  N L Müller; C A Staples; R R Miller; R T Abboud
Journal:  Chest       Date:  1988-10       Impact factor: 9.410

10.  Correlation between annual change in health status and computer tomography derived lung density in subjects with alpha1-antitrypsin deficiency.

Authors:  J Stolk; W H Ng; M E Bakker; J H C Reiber; K F Rabe; H Putter; B C Stoel
Journal:  Thorax       Date:  2003-12       Impact factor: 9.139

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  38 in total

1.  Clinical application of dual-source CT in the evaluation of patients with lung cancer: correlation with perfusion scintigraphy and pulmonary function tests.

Authors:  F Fraioli; G Serra; S Liberali; A Fiorelli; V Liparulo; F Zaccagna; G Ciccariello; C Catalano; R Passariello
Journal:  Radiol Med       Date:  2011-04-19       Impact factor: 3.469

2.  Longitudinal airway remodeling in active and past smokers in a lung cancer screening population.

Authors:  Bertram J Jobst; Oliver Weinheimer; Torben Buschulte; Mila Trauth; Jan Tremper; Stefan Delorme; Nikolaus Becker; Erna Motsch; Marie-Luise Groß; Anke Trotter; Monika Eichinger; Hans-Ulrich Kauczor; Mark O Wielpütz
Journal:  Eur Radiol       Date:  2018-12-14       Impact factor: 5.315

3.  Correlation Between Emphysema and Lung Function in Healthy Smokers and Smokers With COPD.

Authors:  Laura H Thomsen; Saher B Shaker; Asger Dirksen; Jesper H Pedersen; Ruth Tal-Singer; Per Bakke; Jørgen Vestbo
Journal:  Chronic Obstr Pulm Dis       Date:  2015-05-19

Review 4.  Progress in Imaging COPD, 2004 - 2014.

Authors:  David A Lynch
Journal:  Chronic Obstr Pulm Dis       Date:  2014-05-06

5.  Effect of smoking cessation on quantitative computed tomography in smokers at risk in a lung cancer screening population.

Authors:  Bertram J Jobst; Oliver Weinheimer; Mila Trauth; Nikolaus Becker; Erna Motsch; Marie-Luise Groß; Jan Tremper; Stefan Delorme; Anke Eigentopf; Monika Eichinger; Hans-Ulrich Kauczor; Mark O Wielpütz
Journal:  Eur Radiol       Date:  2017-09-07       Impact factor: 5.315

Review 6.  Lung densitometry: why, how and when.

Authors:  Mario Mascalchi; Gianna Camiciottoli; Stefano Diciotti
Journal:  J Thorac Dis       Date:  2017-09       Impact factor: 2.895

7.  Automated quantification of high-resolution CT scan findings in individuals at risk for pulmonary fibrosis.

Authors:  Ivan O Rosas; Jianhua Yao; Nilo A Avila; Catherine K Chow; William A Gahl; Bernadette R Gochuico
Journal:  Chest       Date:  2011-05-26       Impact factor: 9.410

Review 8.  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.

Authors:  Atsushi Nambu; Jordan Zach; Joyce Schroeder; Gongyoung Jin; Song Soo Kim; Yu-Il Kim; Christina Schnell; Russell Bowler; David A Lynch
Journal:  Eur J Radiol       Date:  2016-09-13       Impact factor: 3.528

9.  Texture-based Quantification of Centrilobular Emphysema and Centrilobular Nodularity in Longitudinal CT Scans of Current and Former Smokers.

Authors:  Shoshana B Ginsburg; Jason Zhao; Stephen Humphries; Sungshick Jou; Kunihiro Yagihashi; David A Lynch; Joyce D Schroeder
Journal:  Acad Radiol       Date:  2016-08-27       Impact factor: 3.173

10.  Forced expiratory capnography and chronic obstructive pulmonary disease (COPD).

Authors:  Robert H Brown; Allison Brooker; Robert A Wise; Curt Reynolds; Claudio Loccioni; Adolfo Russo; Terence H Risby
Journal:  J Breath Res       Date:  2013-02-27       Impact factor: 3.262

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