Literature DB >> 23934141

Sources of variation in quantitative computed tomography of the lung.

Harvey O Coxson1.   

Abstract

The goal of quantitative analysis of computed tomography (CT) scans is to understand the anatomic structure that is responsible for the physiological function of the lung. The gold standard for structural analysis requires the examination of tissue, which is not practical in most studies. Quantitative CT allows valuable information on lung structure to be obtained without removal of tissue from the body, thereby aiding longitudinal studies on chronic lung diseases. This review briefly discusses CT analysis of the lung and some of the sources of variation that can cause differences in the CT metrics used for analysis of lung disease. Although there are many sources of variation, this review will show that, if the study is properly designed to take into account these variations and if the CT scanner is properly calibrated, valuable information can be obtained from CT scans that should allow us to study the pathogenesis of lung disease and the effect of treatment.

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Year:  2013        PMID: 23934141      PMCID: PMC3823539          DOI: 10.1097/RTI.0b013e31829efbe9

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  38 in total

1.  Sources of error in lung densitometry with CT.

Authors:  B C Stoel; H A Vrooman; J Stolk; J H Reiber
Journal:  Invest Radiol       Date:  1999-04       Impact factor: 6.016

2.  The effects of radiation dose and CT manufacturer on measurements of lung densitometry.

Authors:  Ren Yuan; John R Mayo; James C Hogg; Peter D Paré; Annette M McWilliams; Stephen Lam; Harvey O Coxson
Journal:  Chest       Date:  2007-06-15       Impact factor: 9.410

3.  Quality control in longitudinal studies with computed tomographic densitometry of the lungs.

Authors:  Berend C Stoel; Fred Bode; Alexis Rames; Sherif Soliman; Johan H C Reiber; Jan Stolk
Journal:  Proc Am Thorac Soc       Date:  2008-12-15

4.  Quantitative chest tomography in COPD research: chairman's summary.

Authors:  Harvey O Coxson
Journal:  Proc Am Thorac Soc       Date:  2008-12-15

5.  The prediction of small airway dimensions using computed tomography.

Authors:  Yasutaka Nakano; Jonathan C Wong; Pim A de Jong; Lilliana Buzatu; Taishi Nagao; Harvey O Coxson; W Mark Elliott; James C Hogg; Peter D Paré
Journal:  Am J Respir Crit Care Med       Date:  2004-10-29       Impact factor: 21.405

6.  Volume correction in computed tomography densitometry for follow-up studies on pulmonary emphysema.

Authors:  Berend C Stoel; Hein Putter; M Els Bakker; Asger Dirksen; Rob A Stockley; Eeva Piitulainen; Erich W Russi; David Parr; Saher B Shaker; Johan H C Reiber; Jan Stolk
Journal:  Proc Am Thorac Soc       Date:  2008-12-15

7.  Monitoring the progress of emphysema by repeat computed tomography scans with focus on noise reduction.

Authors:  Asger Dirksen
Journal:  Proc Am Thorac Soc       Date:  2008-12-15

8.  Quantitative computed tomography assessment of airway wall dimensions: current status and potential applications for phenotyping chronic obstructive pulmonary disease.

Authors:  Harvey O Coxson
Journal:  Proc Am Thorac Soc       Date:  2008-12-15

9.  A multivariate analysis of risk factors for the air-trapping asthmatic phenotype as measured by quantitative CT analysis.

Authors:  Ashley Busacker; John D Newell; Thomas Keefe; Eric A Hoffman; Janice Cook Granroth; Mario Castro; Sean Fain; Sally Wenzel
Journal:  Chest       Date:  2008-08-08       Impact factor: 9.410

10.  Pulmonary emphysema: radiation dose and section thickness at multidetector CT quantification--comparison with macroscopic and microscopic morphometry.

Authors:  Afarine Madani; Viviane De Maertelaer; Jacqueline Zanen; Pierre Alain Gevenois
Journal:  Radiology       Date:  2007-04       Impact factor: 11.105

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  3 in total

1.  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

2.  Standardizing CT lung density measure across scanner manufacturers.

Authors:  Huaiyu Heather Chen-Mayer; Matthew K Fuld; Bernice Hoppel; Philip F Judy; Jered P Sieren; Junfeng Guo; David A Lynch; Antonio Possolo; Sean B Fain
Journal:  Med Phys       Date:  2017-02-21       Impact factor: 4.071

Review 3.  Interstitial Lung Abnormalities: State of the Art.

Authors:  Akinori Hata; Mark L Schiebler; David A Lynch; Hiroto Hatabu
Journal:  Radiology       Date:  2021-08-10       Impact factor: 29.146

  3 in total

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