Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial

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Standard

Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry : Results From the Danish Lung Cancer Screening Trial. / Sørensen, Lauge; Nielsen, Mads; Petersen, Jens; Pedersen, Jesper H; Dirksen, Asger; de Bruijne, Marleen.

In: American Journal of Roentgenology, Vol. 214, No. 6, 2020, p. 1269-1279.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Sørensen, L, Nielsen, M, Petersen, J, Pedersen, JH, Dirksen, A & de Bruijne, M 2020, 'Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial', American Journal of Roentgenology, vol. 214, no. 6, pp. 1269-1279. https://doi.org/10.2214/AJR.19.22300

APA

Sørensen, L., Nielsen, M., Petersen, J., Pedersen, J. H., Dirksen, A., & de Bruijne, M. (2020). Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial. American Journal of Roentgenology, 214(6), 1269-1279. https://doi.org/10.2214/AJR.19.22300

Vancouver

Sørensen L, Nielsen M, Petersen J, Pedersen JH, Dirksen A, de Bruijne M. Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial. American Journal of Roentgenology. 2020;214(6):1269-1279. https://doi.org/10.2214/AJR.19.22300

Author

Sørensen, Lauge ; Nielsen, Mads ; Petersen, Jens ; Pedersen, Jesper H ; Dirksen, Asger ; de Bruijne, Marleen. / Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry : Results From the Danish Lung Cancer Screening Trial. In: American Journal of Roentgenology. 2020 ; Vol. 214, No. 6. pp. 1269-1279.

Bibtex

@article{cbeb36df333049ad8a2bc46f1a57fc30,
title = "Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial",
abstract = "OBJECTIVE. The purpose of this study is to establish whether texture analysis and densitometry are complementary quantitative measures of chronic obstructive pulmonary disease (COPD) in a lung cancer screening setting. MATERIALS AND METHODS. This was a retrospective study of data collected prospectively (in 2004-2010) in the Danish Lung Cancer Screening Trial. The texture score, relative area of emphysema, and percentile density were computed for 1915 baseline low-dose lung CT scans and were evaluated, both individually and in combination, for associations with lung function (i.e., forced expiratory volume in 1 second as a percentage of predicted normal [FEV1% predicted]), diagnosis of mild to severe COPD, and prediction of a rapid decline in lung function. Multivariate linear regression models with lung function as the outcome were compared using the likelihood ratio test or the Vuong test, and AUC values for diagnostic and prognostic capabilities were compared using the DeLong test. RESULTS. Texture showed a significantly stronger association with lung function (p < 0.001 vs densitometric measures), a significantly higher diagnostic AUC value (for COPD, 0.696; for Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade 1, 0.648; for GOLD grade 2, 0.768; and for GOLD grade 3, 0.944; p < 0.001 vs densitometric measures), and a higher but not significantly different association with lung function decline. In addition, only texture could predict a rapid decline in lung function (AUC value, 0.538; p < 0.05 vs random guessing). The combination of texture and both densitometric measures strengthened the association with lung function and decline in lung function (p < 0.001 and p < 0.05, respectively, vs texture) but did not improve diagnostic or prognostic performance. CONCLUSION. The present study highlights texture as a promising quantitative CT measure of COPD to use alongside, or even instead of, densitometric measures. Moreover, texture may allow early detection of COPD in subjects who undergo lung cancer screening.",
author = "Lauge S{\o}rensen and Mads Nielsen and Jens Petersen and Pedersen, {Jesper H} and Asger Dirksen and {de Bruijne}, Marleen",
year = "2020",
doi = "10.2214/AJR.19.22300",
language = "English",
volume = "214",
pages = "1269--1279",
journal = "American Journal of Roentgenology",
issn = "0361-803X",
publisher = "American Roentgen Ray Society",
number = "6",

}

RIS

TY - JOUR

T1 - Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry

T2 - Results From the Danish Lung Cancer Screening Trial

AU - Sørensen, Lauge

AU - Nielsen, Mads

AU - Petersen, Jens

AU - Pedersen, Jesper H

AU - Dirksen, Asger

AU - de Bruijne, Marleen

PY - 2020

Y1 - 2020

N2 - OBJECTIVE. The purpose of this study is to establish whether texture analysis and densitometry are complementary quantitative measures of chronic obstructive pulmonary disease (COPD) in a lung cancer screening setting. MATERIALS AND METHODS. This was a retrospective study of data collected prospectively (in 2004-2010) in the Danish Lung Cancer Screening Trial. The texture score, relative area of emphysema, and percentile density were computed for 1915 baseline low-dose lung CT scans and were evaluated, both individually and in combination, for associations with lung function (i.e., forced expiratory volume in 1 second as a percentage of predicted normal [FEV1% predicted]), diagnosis of mild to severe COPD, and prediction of a rapid decline in lung function. Multivariate linear regression models with lung function as the outcome were compared using the likelihood ratio test or the Vuong test, and AUC values for diagnostic and prognostic capabilities were compared using the DeLong test. RESULTS. Texture showed a significantly stronger association with lung function (p < 0.001 vs densitometric measures), a significantly higher diagnostic AUC value (for COPD, 0.696; for Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade 1, 0.648; for GOLD grade 2, 0.768; and for GOLD grade 3, 0.944; p < 0.001 vs densitometric measures), and a higher but not significantly different association with lung function decline. In addition, only texture could predict a rapid decline in lung function (AUC value, 0.538; p < 0.05 vs random guessing). The combination of texture and both densitometric measures strengthened the association with lung function and decline in lung function (p < 0.001 and p < 0.05, respectively, vs texture) but did not improve diagnostic or prognostic performance. CONCLUSION. The present study highlights texture as a promising quantitative CT measure of COPD to use alongside, or even instead of, densitometric measures. Moreover, texture may allow early detection of COPD in subjects who undergo lung cancer screening.

AB - OBJECTIVE. The purpose of this study is to establish whether texture analysis and densitometry are complementary quantitative measures of chronic obstructive pulmonary disease (COPD) in a lung cancer screening setting. MATERIALS AND METHODS. This was a retrospective study of data collected prospectively (in 2004-2010) in the Danish Lung Cancer Screening Trial. The texture score, relative area of emphysema, and percentile density were computed for 1915 baseline low-dose lung CT scans and were evaluated, both individually and in combination, for associations with lung function (i.e., forced expiratory volume in 1 second as a percentage of predicted normal [FEV1% predicted]), diagnosis of mild to severe COPD, and prediction of a rapid decline in lung function. Multivariate linear regression models with lung function as the outcome were compared using the likelihood ratio test or the Vuong test, and AUC values for diagnostic and prognostic capabilities were compared using the DeLong test. RESULTS. Texture showed a significantly stronger association with lung function (p < 0.001 vs densitometric measures), a significantly higher diagnostic AUC value (for COPD, 0.696; for Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade 1, 0.648; for GOLD grade 2, 0.768; and for GOLD grade 3, 0.944; p < 0.001 vs densitometric measures), and a higher but not significantly different association with lung function decline. In addition, only texture could predict a rapid decline in lung function (AUC value, 0.538; p < 0.05 vs random guessing). The combination of texture and both densitometric measures strengthened the association with lung function and decline in lung function (p < 0.001 and p < 0.05, respectively, vs texture) but did not improve diagnostic or prognostic performance. CONCLUSION. The present study highlights texture as a promising quantitative CT measure of COPD to use alongside, or even instead of, densitometric measures. Moreover, texture may allow early detection of COPD in subjects who undergo lung cancer screening.

U2 - 10.2214/AJR.19.22300

DO - 10.2214/AJR.19.22300

M3 - Journal article

C2 - 32255690

VL - 214

SP - 1269

EP - 1279

JO - American Journal of Roentgenology

JF - American Journal of Roentgenology

SN - 0361-803X

IS - 6

ER -

ID: 239586221