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Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography

BACKGROUND: High-resolution computed tomography (HRCT) is recommended diagnosing and monitoring connective tissue disease-associated interstitial lung disease (CTD-ILD). Quantitative computed tomography has the potential to precisely assess the radiological severity of CTD-ILD, but has still been un...

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Autores principales: Chen, Ling, Zhu, Min, Lu, Haiyan, Yang, Ting, Li, Wanjiang, Zhang, Yali, Xie, Qibing, Li, Zhenlin, Wan, Huajing, Luo, Fengming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897904/
https://www.ncbi.nlm.nih.gov/pubmed/35248040
http://dx.doi.org/10.1186/s12931-022-01972-4
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author Chen, Ling
Zhu, Min
Lu, Haiyan
Yang, Ting
Li, Wanjiang
Zhang, Yali
Xie, Qibing
Li, Zhenlin
Wan, Huajing
Luo, Fengming
author_facet Chen, Ling
Zhu, Min
Lu, Haiyan
Yang, Ting
Li, Wanjiang
Zhang, Yali
Xie, Qibing
Li, Zhenlin
Wan, Huajing
Luo, Fengming
author_sort Chen, Ling
collection PubMed
description BACKGROUND: High-resolution computed tomography (HRCT) is recommended diagnosing and monitoring connective tissue disease-associated interstitial lung disease (CTD-ILD). Quantitative computed tomography has the potential to precisely assess the radiological severity of CTD-ILD, but has still been under study. OBJECTIVE: To investigate whether dual-energy computed tomography (DECT), a novel quantitative technique, can be used for quantitative severity assessment in CTD-ILD. METHODS: This cross sectional study recruited adult CTD-ILD patients who underwent DECT scans from the ICE study between October 2019 and November 2021. DECT parameters, including effective atomic number (Z(eff)), lung (lobe) volume, and monochromatic CT number (MCTN) of each lung lobe, were evaluated. CTD-ILD was classified into extensive CTD-ILD and limited CTD-ILD by staging algorithm using combined forced vital capacity (FVC)%predicted and total extent of ILD (TEI) on CT. Dyspnea, cough, and life quality were scored by Borg dyspnea score, Leicester cough questionnaire (LCQ), and short-form 36 health survey questionnaire (SF-36), respectively. RESULTS: There was a total of 147 patients with DECT scans enrolled. Higher Z(eff) value (3.104 vs 2.256, p < 0.001), higher MCTN (− 722.87 HU vs − 802.20 HU, p < 0.001), and lower lung volume (2309.51cm(3) vs 3475.21cm(3), p < 0.001) were found in extensive CTD-ILD compared with limited CTD-ILD. DECT parameters had significant moderate correlations with FVC%predicted (|r|= 0.542–0.667, p < 0.01), DLCO%predicted (|r|= 0.371–0.427, p < 0.01), and TEI (|r|= 0.485–0.742, p < 0.01). Receiver operating characteristic (ROC) analysis indicated MCTN averaged over the whole lung had the best performance for extensive CTD-ILD discrimination (AUC = 0.901, cut-off: − 762.30 HU, p < 0.001), with a sensitivity of 82.1% and a specificity of 85.4%. The Z(eff) value was the independent risk factor for dyspnea (OR = 3.644, 95% CI: 1.846–7.192, p < 0.001) and cough (OR = 3.101, 95% CI: 1.528–6.294, p = 0.002), and lung volume significantly contributed to the mental component summary (MCS) in SF-36 (standardized β = 0.198, p < 0.05). CONCLUSIONS: DECT can be applied to evaluate the severity of CTD-ILD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-01972-4.
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spelling pubmed-88979042022-03-14 Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography Chen, Ling Zhu, Min Lu, Haiyan Yang, Ting Li, Wanjiang Zhang, Yali Xie, Qibing Li, Zhenlin Wan, Huajing Luo, Fengming Respir Res Research BACKGROUND: High-resolution computed tomography (HRCT) is recommended diagnosing and monitoring connective tissue disease-associated interstitial lung disease (CTD-ILD). Quantitative computed tomography has the potential to precisely assess the radiological severity of CTD-ILD, but has still been under study. OBJECTIVE: To investigate whether dual-energy computed tomography (DECT), a novel quantitative technique, can be used for quantitative severity assessment in CTD-ILD. METHODS: This cross sectional study recruited adult CTD-ILD patients who underwent DECT scans from the ICE study between October 2019 and November 2021. DECT parameters, including effective atomic number (Z(eff)), lung (lobe) volume, and monochromatic CT number (MCTN) of each lung lobe, were evaluated. CTD-ILD was classified into extensive CTD-ILD and limited CTD-ILD by staging algorithm using combined forced vital capacity (FVC)%predicted and total extent of ILD (TEI) on CT. Dyspnea, cough, and life quality were scored by Borg dyspnea score, Leicester cough questionnaire (LCQ), and short-form 36 health survey questionnaire (SF-36), respectively. RESULTS: There was a total of 147 patients with DECT scans enrolled. Higher Z(eff) value (3.104 vs 2.256, p < 0.001), higher MCTN (− 722.87 HU vs − 802.20 HU, p < 0.001), and lower lung volume (2309.51cm(3) vs 3475.21cm(3), p < 0.001) were found in extensive CTD-ILD compared with limited CTD-ILD. DECT parameters had significant moderate correlations with FVC%predicted (|r|= 0.542–0.667, p < 0.01), DLCO%predicted (|r|= 0.371–0.427, p < 0.01), and TEI (|r|= 0.485–0.742, p < 0.01). Receiver operating characteristic (ROC) analysis indicated MCTN averaged over the whole lung had the best performance for extensive CTD-ILD discrimination (AUC = 0.901, cut-off: − 762.30 HU, p < 0.001), with a sensitivity of 82.1% and a specificity of 85.4%. The Z(eff) value was the independent risk factor for dyspnea (OR = 3.644, 95% CI: 1.846–7.192, p < 0.001) and cough (OR = 3.101, 95% CI: 1.528–6.294, p = 0.002), and lung volume significantly contributed to the mental component summary (MCS) in SF-36 (standardized β = 0.198, p < 0.05). CONCLUSIONS: DECT can be applied to evaluate the severity of CTD-ILD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-01972-4. BioMed Central 2022-03-05 2022 /pmc/articles/PMC8897904/ /pubmed/35248040 http://dx.doi.org/10.1186/s12931-022-01972-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Ling
Zhu, Min
Lu, Haiyan
Yang, Ting
Li, Wanjiang
Zhang, Yali
Xie, Qibing
Li, Zhenlin
Wan, Huajing
Luo, Fengming
Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography
title Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography
title_full Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography
title_fullStr Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography
title_full_unstemmed Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography
title_short Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography
title_sort quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897904/
https://www.ncbi.nlm.nih.gov/pubmed/35248040
http://dx.doi.org/10.1186/s12931-022-01972-4
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