Impact of model-based iterative reconstruction on the correlation between computed tomography quantification of a low lung attenuation area and airway measurements and pulmonary function test results in normal subjects

Da Jung Kim; Cherry Kim; Chol Shin; Seung Ku Lee; Chang Sub Ko; Ki Yeol Lee

doi:10.3348/kjr.2018.19.6.1187

Impact of model-based iterative reconstruction on the correlation between computed tomography quantification of a low lung attenuation area and airway measurements and pulmonary function test results in normal subjects

Da Jung Kim, Cherry Kim, Chol Shin, Seung Ku Lee, Chang Sub Ko, Ki Yeol Lee

Department of Biomedical Sciences

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Objective: To compare correlations between pulmonary function test (PFT) results and different reconstruction algorithms and to suggest the optimal reconstruction protocol for computed tomography (CT) quantification of low lung attenuation areas and airways in healthy individuals. Materials and Methods: A total of 259 subjects with normal PFT and chest CT results were included. CT scans were reconstructed using filtered back projection, hybrid-iterative reconstruction, and model–based IR (MIR). For quantitative analysis, the emphysema index (EI) and wall area percentage (WA%) were determined. Subgroup analysis according to smoking history was also performed. Results: The EIs of all the reconstruction algorithms correlated significantly with the forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) (all p < 0.001). The EI of MIR showed the strongest correlation with FEV1/FVC (r =-0.437). WA% showed a significant correlation with FEV1 in all the reconstruction algorithms (all p < 0.05) correlated significantly with FEV1/FVC for MIR only (p < 0.001). The WA% of MIR showed the strongest correlations with FEV1 (r =-0.205) and FEV1/FVC (r =-0.250). In subgroup analysis, the EI of MIR had the strongest correlation with PFT in both ever-smoker and never-smoker subgroups, although there was no significant difference in the EI between the reconstruction algorithms. WA% of MIR showed a significantly thinner airway thickness than the other algorithms (49.7 ± 7.6 in ever-smokers and 49.5 ± 7.5 in never-smokers, all p < 0.001), and also showed the strongest correlation with PFT in both ever-smoker and never-smoker subgroups. Conclusion: CT quantification of low lung attenuation areas and airways by means of MIR showed the strongest correlation with PFT results among the algorithms used, in normal subjects.

Original language	English
Pages (from-to)	1187-1195
Number of pages	9
Journal	Korean journal of radiology
Volume	19
Issue number	6
DOIs	https://doi.org/10.3348/kjr.2018.19.6.1187
Publication status	Published - 2018 Nov 1

Bibliographical note

Funding Information:
Received March 20, 2018; accepted after revision June 28, 2018. This study was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (NRF-2016R1A2B4012155), and Korea Centers for Disease Control and Prevention (2015-P71001-00). This study was supported by Reyon Pharmaceutical (I1704621) and Philips Company (I0902491). *These authors contributed equally to this work. Corresponding author: Ki Yeol Lee, MD, PhD, Department of Radiology, Korea University College of Medicine, Korea University Ansan Hospital, 123 Jeokgeum-ro, Danwon-gu, Ansan 15355, Korea. • Tel: (8231) 412-5227 • Fax: (8231) 412-4264 • E-mail: [email protected] This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https:// creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher Copyright:
© 2018 The Korean Society of Radiology.

Keywords

Airway
Computed tomography
Iterative reconstruction
Pulmonary emphysema
Pulmonary function test

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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Kim, D. J., Kim, C., Shin, C., Lee, S. K., Ko, C. S., & Lee, K. Y. (2018). Impact of model-based iterative reconstruction on the correlation between computed tomography quantification of a low lung attenuation area and airway measurements and pulmonary function test results in normal subjects. Korean journal of radiology, 19(6), 1187-1195. https://doi.org/10.3348/kjr.2018.19.6.1187

Impact of model-based iterative reconstruction on the correlation between computed tomography quantification of a low lung attenuation area and airway measurements and pulmonary function test results in normal subjects. / Kim, Da Jung; Kim, Cherry; Shin, Chol et al.
In: Korean journal of radiology, Vol. 19, No. 6, 01.11.2018, p. 1187-1195.

Research output: Contribution to journal › Article › peer-review

Kim, DJ, Kim, C, Shin, C, Lee, SK, Ko, CS & Lee, KY 2018, 'Impact of model-based iterative reconstruction on the correlation between computed tomography quantification of a low lung attenuation area and airway measurements and pulmonary function test results in normal subjects', Korean journal of radiology, vol. 19, no. 6, pp. 1187-1195. https://doi.org/10.3348/kjr.2018.19.6.1187

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title = "Impact of model-based iterative reconstruction on the correlation between computed tomography quantification of a low lung attenuation area and airway measurements and pulmonary function test results in normal subjects",

abstract = "Objective: To compare correlations between pulmonary function test (PFT) results and different reconstruction algorithms and to suggest the optimal reconstruction protocol for computed tomography (CT) quantification of low lung attenuation areas and airways in healthy individuals. Materials and Methods: A total of 259 subjects with normal PFT and chest CT results were included. CT scans were reconstructed using filtered back projection, hybrid-iterative reconstruction, and model–based IR (MIR). For quantitative analysis, the emphysema index (EI) and wall area percentage (WA%) were determined. Subgroup analysis according to smoking history was also performed. Results: The EIs of all the reconstruction algorithms correlated significantly with the forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) (all p < 0.001). The EI of MIR showed the strongest correlation with FEV1/FVC (r =-0.437). WA% showed a significant correlation with FEV1 in all the reconstruction algorithms (all p < 0.05) correlated significantly with FEV1/FVC for MIR only (p < 0.001). The WA% of MIR showed the strongest correlations with FEV1 (r =-0.205) and FEV1/FVC (r =-0.250). In subgroup analysis, the EI of MIR had the strongest correlation with PFT in both ever-smoker and never-smoker subgroups, although there was no significant difference in the EI between the reconstruction algorithms. WA% of MIR showed a significantly thinner airway thickness than the other algorithms (49.7 ± 7.6 in ever-smokers and 49.5 ± 7.5 in never-smokers, all p < 0.001), and also showed the strongest correlation with PFT in both ever-smoker and never-smoker subgroups. Conclusion: CT quantification of low lung attenuation areas and airways by means of MIR showed the strongest correlation with PFT results among the algorithms used, in normal subjects.",

keywords = "Airway, Computed tomography, Iterative reconstruction, Pulmonary emphysema, Pulmonary function test",

author = "Kim, {Da Jung} and Cherry Kim and Chol Shin and Lee, {Seung Ku} and Ko, {Chang Sub} and Lee, {Ki Yeol}",

note = "Funding Information: Received March 20, 2018; accepted after revision June 28, 2018. This study was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (NRF-2016R1A2B4012155), and Korea Centers for Disease Control and Prevention (2015-P71001-00). This study was supported by Reyon Pharmaceutical (I1704621) and Philips Company (I0902491). *These authors contributed equally to this work. Corresponding author: Ki Yeol Lee, MD, PhD, Department of Radiology, Korea University College of Medicine, Korea University Ansan Hospital, 123 Jeokgeum-ro, Danwon-gu, Ansan 15355, Korea. • Tel: (8231) 412-5227 • Fax: (8231) 412-4264 • E-mail: [email protected] This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https:// creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Publisher Copyright: {\textcopyright} 2018 The Korean Society of Radiology.",

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T1 - Impact of model-based iterative reconstruction on the correlation between computed tomography quantification of a low lung attenuation area and airway measurements and pulmonary function test results in normal subjects

AU - Kim, Da Jung

AU - Kim, Cherry

AU - Shin, Chol

AU - Lee, Seung Ku

AU - Ko, Chang Sub

AU - Lee, Ki Yeol

N1 - Funding Information: Received March 20, 2018; accepted after revision June 28, 2018. This study was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (NRF-2016R1A2B4012155), and Korea Centers for Disease Control and Prevention (2015-P71001-00). This study was supported by Reyon Pharmaceutical (I1704621) and Philips Company (I0902491). *These authors contributed equally to this work. Corresponding author: Ki Yeol Lee, MD, PhD, Department of Radiology, Korea University College of Medicine, Korea University Ansan Hospital, 123 Jeokgeum-ro, Danwon-gu, Ansan 15355, Korea. • Tel: (8231) 412-5227 • Fax: (8231) 412-4264 • E-mail: [email protected] This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https:// creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Publisher Copyright: © 2018 The Korean Society of Radiology.

PY - 2018/11/1

Y1 - 2018/11/1

N2 - Objective: To compare correlations between pulmonary function test (PFT) results and different reconstruction algorithms and to suggest the optimal reconstruction protocol for computed tomography (CT) quantification of low lung attenuation areas and airways in healthy individuals. Materials and Methods: A total of 259 subjects with normal PFT and chest CT results were included. CT scans were reconstructed using filtered back projection, hybrid-iterative reconstruction, and model–based IR (MIR). For quantitative analysis, the emphysema index (EI) and wall area percentage (WA%) were determined. Subgroup analysis according to smoking history was also performed. Results: The EIs of all the reconstruction algorithms correlated significantly with the forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) (all p < 0.001). The EI of MIR showed the strongest correlation with FEV1/FVC (r =-0.437). WA% showed a significant correlation with FEV1 in all the reconstruction algorithms (all p < 0.05) correlated significantly with FEV1/FVC for MIR only (p < 0.001). The WA% of MIR showed the strongest correlations with FEV1 (r =-0.205) and FEV1/FVC (r =-0.250). In subgroup analysis, the EI of MIR had the strongest correlation with PFT in both ever-smoker and never-smoker subgroups, although there was no significant difference in the EI between the reconstruction algorithms. WA% of MIR showed a significantly thinner airway thickness than the other algorithms (49.7 ± 7.6 in ever-smokers and 49.5 ± 7.5 in never-smokers, all p < 0.001), and also showed the strongest correlation with PFT in both ever-smoker and never-smoker subgroups. Conclusion: CT quantification of low lung attenuation areas and airways by means of MIR showed the strongest correlation with PFT results among the algorithms used, in normal subjects.

AB - Objective: To compare correlations between pulmonary function test (PFT) results and different reconstruction algorithms and to suggest the optimal reconstruction protocol for computed tomography (CT) quantification of low lung attenuation areas and airways in healthy individuals. Materials and Methods: A total of 259 subjects with normal PFT and chest CT results were included. CT scans were reconstructed using filtered back projection, hybrid-iterative reconstruction, and model–based IR (MIR). For quantitative analysis, the emphysema index (EI) and wall area percentage (WA%) were determined. Subgroup analysis according to smoking history was also performed. Results: The EIs of all the reconstruction algorithms correlated significantly with the forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) (all p < 0.001). The EI of MIR showed the strongest correlation with FEV1/FVC (r =-0.437). WA% showed a significant correlation with FEV1 in all the reconstruction algorithms (all p < 0.05) correlated significantly with FEV1/FVC for MIR only (p < 0.001). The WA% of MIR showed the strongest correlations with FEV1 (r =-0.205) and FEV1/FVC (r =-0.250). In subgroup analysis, the EI of MIR had the strongest correlation with PFT in both ever-smoker and never-smoker subgroups, although there was no significant difference in the EI between the reconstruction algorithms. WA% of MIR showed a significantly thinner airway thickness than the other algorithms (49.7 ± 7.6 in ever-smokers and 49.5 ± 7.5 in never-smokers, all p < 0.001), and also showed the strongest correlation with PFT in both ever-smoker and never-smoker subgroups. Conclusion: CT quantification of low lung attenuation areas and airways by means of MIR showed the strongest correlation with PFT results among the algorithms used, in normal subjects.

KW - Airway

KW - Computed tomography

KW - Iterative reconstruction

KW - Pulmonary emphysema

KW - Pulmonary function test

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Impact of model-based iterative reconstruction on the correlation between computed tomography quantification of a low lung attenuation area and airway measurements and pulmonary function test results in normal subjects

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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