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

Authors :
Ling Chen
Min Zhu
Haiyan Lu
Ting Yang
Wanjiang Li
Yali Zhang
Qibing Xie
Zhenlin Li
Huajing Wan
Fengming Luo
Source :
Respiratory Research, Vol 23, Iss 1, Pp 1-14 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract 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 (Zeff), 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 Zeff value (3.104 vs 2.256, p

Details

Language :
English
ISSN :
1465993X
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Respiratory Research
Publication Type :
Academic Journal
Accession number :
edsdoj.73cf651300f64f8b8482698d23e4c10f
Document Type :
article
Full Text :
https://doi.org/10.1186/s12931-022-01972-4