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高分辨率计算机断层扫描定量影像标志物可预测特发性炎性肌病相关间质性肺病患者的快速进展及不良事件
Authors Wang H, Qiang Y, Wang J, Ni Y, Liu A, Du J, Ren Y, Wang S, Geng J , Xie B, Liu M, Dai H
Received 27 September 2024
Accepted for publication 26 July 2025
Published 19 August 2025 Volume 2025:18 Pages 4571—4585
DOI https://doi.org/10.2147/IJGM.S497368
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Woon-Man Kung
Hongyi Wang,1,2,* Yuhui Qiang,2– 4,* Jianping Wang,3,5 Yifei Ni,1,5 Anqi Liu,1,5 Jie Du,1,5 Yanhong Ren,2 Shiyao Wang,2 Jing Geng,2 Bingbing Xie,2 Min Liu,5 Huaping Dai2
1China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China; 2Department of Pulmonary and Critical Care Medicine, National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine; Chinese Academy of Medical Sciences; Center of Respiratory Medicine; China-Japan Friendship Hospital, Beijing, People’s Republic of China; 3Capital Medical University, Beijing, People’s Republic of China; 4Immune Dysfunction and Pulmonary Fibrosis Joint Laboratory for Clinical Medicine, Capital Medical University, Beijing, People’s Republic of China; 5Department of Radiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Min Liu, Department of Radiology, China-Japan Friendship Hospital, Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, People’s Republic of China, Email mikie0763@126.com Huaping Dai, Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, People’s Republic of China, Email daihuaping@ccmu.edu.cn
Objective: To assess imaging quantitative markers on baseline High-resolution computed tomography (HRCT) for predicting rapid progression (RP) and adverse events in anti-synthetase syndrome associated interstitial lung disease (ASS-ILD) and anti-MDA5-positive dermatomyositis-associated interstitial lung disease (MDA5-ILD).
Methods: This retrospective study analyzed 511 patients (ASS-ILD: n=356, median age=56 years; MDA5-ILD: n=155, median age=50 years) between Jan 2016 and Dec 2021. RP was defined as pulmonary function, image, or symptom aggravation within 3 months of initial presentation. Adverse events (death/intensive care) were recorded. Deep learning quantified ground-glass opacity (GGO) and consolidation volumes/percentages on baseline HRCT. Multivariable logistic and Cox regression adjusted for confounders (age, gender, smoking status, body mass index, fibrosis, and treatment). No multiple comparisons were conducted since this is an explorable study.
Results: RP occurred in 34.8% (124/356) of ASS-ILD and 44.5% (69/155) of MDA5-ILD patients. Elevated GGO/consolidation volumes and percentages independently predicted RP in patients with ASS-ILD (adjusted odd ratio=1.63, 95% confidence interval:1.25– 2.12, P< 0.001), but not in patients with MDA5-ILD. During median follow-up (ASS-ILD: 4.45 years; MDA5-ILD: 4.05 years), RP patients showed higher mortality versus patients without RP (hazard ratio=4.12, P< 0.001). Increased baseline GGO/consolidation metrics predicted adverse events in patients with ASS-ILD or MDA5-ILD (P< 0.01).
Conclusion: GGO and consolidation quantification on baseline HRCT can provide clinically actionable predictors to identify patients with ASS-ILD at high-risk for RP, and to stratify adverse event risks across ASS/MDA5-ILD regardless of RP status, enabling early intervention.
Keywords: idiopathic inflammatory myopathy, anti-synthase syndrome, anti-MDA5-positive dermatomyositis, high-resolution computed tomography, ground-glass opacity, consolidation, rapidly progressive interstitial lung disease