Literature DB >> 22613510

Improved correlation between CT emphysema quantification and pulmonary function test by density correction of volumetric CT data based on air and aortic density.

Song Soo Kim1, Joon Beom Seo2, Namkug Kim3, Eun Jin Chae3, Young Kyung Lee4, Yeon Mok Oh5, Sang Do Lee5.   

Abstract

OBJECTIVES: To determine the improvement of emphysema quantification with density correction and to determine the optimal site to use for air density correction on volumetric computed tomography (CT).
METHODS: Seventy-eight CT scans of COPD patients (GOLD II-IV, smoking history 39.2±25.3 pack-years) were obtained from several single-vendor 16-MDCT scanners. After density measurement of aorta, tracheal- and external air, volumetric CT density correction was conducted (two reference values: air, -1,000 HU/blood, +50 HU). Using in-house software, emphysema index (EI) and mean lung density (MLD) were calculated. Differences in air densities, MLD and EI prior to and after density correction were evaluated (paired t-test). Correlation between those parameters and FEV1 and FEV1/FVC were compared (age- and sex adjusted partial correlation analysis).
RESULTS: Measured densities (HU) of tracheal- and external air differed significantly (-990 ± 14, -1016 ± 9, P<0.001). MLD and EI on original CT data, after density correction using tracheal- and external air also differed significantly (MLD: -874.9 ± 27.6 vs. -882.3 ± 24.9 vs. -860.5 ± 26.6; EI: 16.8 ± 13.4 vs. 21.1 ± 14.5 vs. 9.7 ± 10.5, respectively, P<0.001). The correlation coefficients between CT quantification indices and FEV1, and FEV1/FVC increased after density correction. The tracheal air correction showed better results than the external air correction.
CONCLUSION: Density correction of volumetric CT data can improve correlations of emphysema quantification and PFT.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  CT; Computed tomography scanner; Computer software; Densitometry; EI; Emphysema; FEV(1); FVC; HU; Hounsfield unit; MDCT; MLD; PFT; Quantitative evaluation; ROI; computed tomography; emphysema index; forced expiratory volume in 1 second; forced vital capacity; mean lung density; multi-detector computed tomography; pulmonary function test; region of interest

Mesh:

Year:  2012        PMID: 22613510     DOI: 10.1016/j.ejrad.2012.02.021

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  8 in total

1.  A CT Scan Harmonization Technique to Detect Emphysema and Small Airway Diseases.

Authors:  Gonzalo Vegas-Sánchez-Ferrero; Raúl San Estépar José
Journal:  Image Anal Mov Organ Breast Thorac Images (2018)       Date:  2018-09-12

2.  Improved CT-based estimate of pulmonary gas trapping accounting for scanner and lung-volume variations in a multicenter asthmatic study.

Authors:  Sanghun Choi; Eric A Hoffman; Sally E Wenzel; Mario Castro; Ching-Long Lin
Journal:  J Appl Physiol (1985)       Date:  2014-08-07

3.  Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study.

Authors:  Jie Yang; Elsa D Angelini; Pallavi P Balte; Eric A Hoffman; Colin O Wu; Bharath A Venkatesh; R Graham Barr; Andrew F Laine
Journal:  Med Image Comput Comput Assist Interv       Date:  2016-10-02

4.  Harmonization of chest CT scans for different doses and reconstruction methods.

Authors:  Gonzalo Vegas-Sánchez-Ferrero; Maria Jesus Ledesma-Carbayo; George R Washko; Raúl San José Estépar
Journal:  Med Phys       Date:  2019-06-07       Impact factor: 4.071

5.  Capability of differentiating smokers with normal pulmonary function from COPD patients: a comparison of CT pulmonary volume analysis and MR perfusion imaging.

Authors:  Li Fan; Yi Xia; Yu Guan; Hong Yu; Tie-feng Zhang; Shi-yuan Liu; Bing Li
Journal:  Eur Radiol       Date:  2012-12-21       Impact factor: 5.315

6.  Quantification of Pathologic Air Trapping in Lung Transplant Patients Using CT Density Mapping: Comparison with Other CT Air Trapping Measures.

Authors:  Olga Solyanik; Patrick Hollmann; Sabine Dettmer; Till Kaireit; Cornelia Schaefer-Prokop; Frank Wacker; Jens Vogel-Claussen; Hoen-oh Shin
Journal:  PLoS One       Date:  2015-10-02       Impact factor: 3.240

7.  Latent traits of lung tissue patterns in former smokers derived by dual channel deep learning in computed tomography images.

Authors:  Frank Li; Jiwoong Choi; Chunrui Zou; John D Newell; Alejandro P Comellas; Chang Hyun Lee; Hongseok Ko; R Graham Barr; Eugene R Bleecker; Christopher B Cooper; Fereidoun Abtin; Igor Barjaktarevic; David Couper; MeiLan Han; Nadia N Hansel; Richard E Kanner; Robert Paine; Ella A Kazerooni; Fernando J Martinez; Wanda O'Neal; Stephen I Rennard; Benjamin M Smith; Prescott G Woodruff; Eric A Hoffman; Ching-Long Lin
Journal:  Sci Rep       Date:  2021-03-01       Impact factor: 4.996

8.  The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans.

Authors:  Jennifer L Boes; Maria Bule; Benjamin A Hoff; Ryan Chamberlain; David A Lynch; Jadranka Stojanovska; Fernando J Martinez; Meilan K Han; Ella A Kazerooni; Brian D Ross; Craig J Galbán
Journal:  Tomography       Date:  2015-09
  8 in total

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