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[Lancet Digital Health发表论文]: 胸部影像的深度学习用于鉴别COPD高危患者
2026年01月21日 时讯速递, 进展交流 [Lancet Digital Health发表论文]: 胸部影像的深度学习用于鉴别COPD高危患者已关闭评论

Articles

Leveraging deep learning applied to chest radiograph images to identify individuals at high risk of chronic obstructive pulmonary disease: a retrospective model validation study

Saman Doroodgar Jorshery, Jay Chandra, Anika S Walia, et al

Lancet Digital Health 2025; 7: 100903

https://doi.org/10.1016/j.landig.2025.100903

Summary

Background

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality, yet early detection remains challenging. This study assessed whether deep learning applied to routine outpatient chest radiographs (CXRs) can identify individuals at high risk of incident COPD.

Methods

Using cancer screening trial data, we previously developed a convolutional neural network (CXR-Lung-Risk) to predict lung-related mortality from a CXR image. In this retrospective model validation study, we externally validated whether CXR-Lung-Risk was associated with incident COPD from routine CXRs. We identified outpatients without lung cancer, COPD, or emphysema who had a CXR taken from Jan 1, 2013, to Dec 31, 2014, at Massachusetts General or Brigham and Women’s Hospitals in Boston, MA, USA. The primary outcome was 6-year incident COPD. Discrimination was assessed using area under the receiver operating characteristic curve (AUC) compared with the TargetCOPD clinical risk score. All analyses were stratified by smoking status. A secondary analysis was conducted in the Project Baseline Health Study (PBHS) to test associations between CXR-Lung-Risk with pulmonary function and plasma protein abundance. The PBHS study is registered with ClinicalTrials.govNCT03154346.

Findings

The primary analysis consisted of data from 12 550 ever-smokers (mean age 62·4 years [SD 6·8], 6135 [48·9%] male, 6415 [51·1%] female) and 15 298 never-smokers (mean age 63·0 years [8·1], 6550 [42·8%] male, 8748 [57·2%] female). 1562 (12·4%) of 12 550 ever-smokers and 580 (3·8%) of 15 298 never-smokers developed COPD within 6 years. CXR-Lung-Risk had additive predictive value beyond the TargetCOPD score for 6-year incident COPD in both ever-smokers (CXR-Lung-Risk + TargetCOPD AUC 0·73 [95% CI 0·72–0·74] vsTargetCOPD alone AUC 0·66 [0·65–0·68], p<0·0001) and never-smokers (CXR-Lung-Risk + TargetCOPD AUC 0·70 [0·67–0·72] vs TargetCOPD alone AUC 0·60 [0·57–0·62], p<0·0001). In secondary analyses of 2097 individuals in the PBHS, CXR-Lung-Risk was associated with worse pulmonary function and with abundance of SCGB3A2 (secretoglobin family 3A member 2) and LYZ (lysozyme), proteins involved in pulmonary physiology.

Table 1. Cohort characteristics for Mass General Brigham patients

Empty CellEver-smokers (n=12 550)Never-smokers (n=15 298)
Age62·4 (6·8)63·0 (8·1)
Sex
 Female6415/12 550 (51⋅1%)8748/15 298 (57⋅2%)
 Male6135/12 550 (48⋅9%)6550/15 298 (42⋅8%)
Race
 Asian189/11 569 (1·6%)707/13 686 (5·2%)
 Black874/11 569 (7·6%)1174/13 686 (8·6%)
 Other19/11 569 (0·2%)57/13 686 (0·4%)
 White10 487/11 569 (90·6%)11 748/13 686 (85·8%)
Hispanic ethnicity349/12 338 (2·8%)547/13 356 (4·0%)
Recent dyspnoea4519/12 550 (36·0%)6503/15 298 (42·5%)
Salbutamol use3723/12 550 (29·7%)3385/15 298 (22·1%)
Antibiotic use2378/12 550 (18·9%)2180/15 298 (14·3%)
Current smoker2366/12 550 (18·9%)··
Smoking pack-years15·9 (20·0)··
CXR-Lung-Risk, mean50·9 (5·7)49·3 (5·9)
TargetCOPD score0·14 (0·1)0·06 (0·05)
CXR report findings
 Lung opacity2631/12 550 (21·0%)3024/15 298 (19·8%)
 Atelectasis1374/12 550 (10·9%)1565/15 298 (10·2%)
 Pneumothorax279/12 550 (2·2%)250/15 298 (1·6%)
 Pneumonia1194/12 550 (9·5%)1397/15 298 (9·1%)
 Oedema484/12 550 (3·9%)481/15 298 (3·1%)
 Consolidation310/12 550 (2·5%)380/15 298 (2·5%)
 Lung lesion1357/12 550 (10·8%)1830/15 298 (12·0%)
Prevalent asthma1338/12 550 (10·7%)2465/15 298 (16·1%)
6-year COPD rate1562/12 550 (12·4%)580/15 298 (3·8%)
6-year all-cause mortality944/12 219 (7·7%)1978/15 298 (12·9%)

Data are n/N (%) or mean (SD). COPD=chronic obstructive pulmonary disease. CXR=chest radiograph.

Table 2. Discrimination for 6-year, 3-year, and 1-year incident COPD by baseline, CXR-Lung-Risk, and TargetCOPD models in all individuals, ever-smokers, and never-smokers, by model

Empty CellFull cohort (N=27 848)Ever-smokers (n=12 550)Never-smokers (n=15 298)
AUC (95% CI)AUC (95% CI)p valueAUC (95% CI)p value
6-year incident COPD
Age, sex0·56 (0·54–0·58)0·53 (0·52–0·55)<0·00010·60 (0·57–0·62)0·91
Age, sex, smoking status0·64 (0·63–0·66)0·64 (0·63–0·66)0·01NANA
TargetCOPD0·66 (0·64–0·68)0·66 (0·65–0·68)Ref0·60 (0·57–0·62)Ref
CXR-Lung-Risk0·68 (0·66–0·70)0·67 (0·66–0·69)0·350·66 (0·64–0·68)0·0004
CXR-Lung-Risk + TargetCOPD0·74 (0·72–0·76)0·73 (0·72–0·74)<0·00010·70 (0·67–0·72)<0·0001
3-year incident COPD
Age, sex0·55 (0·54–0·57)0·54 (0·52–0·56)<0·00010·59 (0·56–0·62)0·66
Age, sex, smoking status0·64 (0·63–0·66)0·65 (0·63–0·67)0·003NANA
TargetCOPD0·69 (0·67–0·70)0·68 (0·66–0·70)Ref0·58 (0·55–0·61)Ref
CXR-Lung-Risk0·68 (0·67–0·69)0·67 (0·66–0·69)0·570·65 (0·63–0·68)0·0007
CXR-Lung-Risk + TargetCOPD0·75 (0·74–0·76)0·74 (0·73–0·76)<0·00010·69 (0·66–0·71)<0·0001
1-year incident COPD
Age, sex0·55 (0·54–0·56)0·53 (0·50–0·56)<0·00010·60 (0·57–0·64)0·17
Age, sex, smoking status0·64 (0·63–0·66)0·63 (0·61–0·66)0·004NANA
TargetCOPD0·70 (0·69–0·71)0·68 (0·65–0·70)Ref0·56 (0·52–0·60)Ref
CXR-Lung-Risk0·68 (0·67–0·70)0·67 (0·66–0·69)0·620·67 (0·64–0·70)<0·0001
CXR-Lung-Risk + TargetCOPD0·75 (0·74–0·77)0·73 (0·72–0·74)<0·00010·69 (0·66–0·73)<0·0001

AUC=area under the receiver operating characteristic curve. COPD=chronic obstructive pulmonary disorder. CXR=chest radiography. NA=not applicable.∗

p value for difference from TargetCOPD.

Table 3. Rates of 6-year COPD in ever-smokers and never-smokers by CXR-Lung-Risk and TargetCOPD binary high-risk groups

Empty CellHigh risk (TargetCOPD >7·5%)Low risk (TargetCOPD ≤7·5%)Total
COPD events, n/NCOPD event rate, % (95% CI)COPD events, n/NCOPD event rate, % (95% CI)COPD events, n/NCOPD event rate, % (95% CI)
Ever-smokers
High CXR-Lung-Risk549/193628·4% (26·4–30·2)128/93413·7% (11·3–15·9)677/287023·6% (22·0–25·1)
Low CXR-Lung-Risk703/583212·0% (11·3–12·8)182/38484·7% (4·1–5·5)885/96809·1% (8·6–9·7)
Total1252/776816·1% (15·3–16·9)310/47826·5% (5·8–7·2)1562/12 55012·4% (11·8–13·0)
Never-smokers
High CXR-Lung-Risk64/55811·5% (8·8–14·4)136/20176·7% (5·7–7·9)200/25757·8% (6·8–8·9)
Low CXR-Lung-Risk165/29905·5% (4·7–6·4)215/97332·2% (1·9–2·5)380/12 7233·0% (2·7–3·3)
Total229/35486·4% (5·7–7·3)351/11 7503·0% (2·7–3·3)580/15 2983·8% (3·5–4·1)

COPD=chronic obstructive pulmonary disorder. CXR=chest radiography.

Interpretation

In this external validation, a deep-learning model applied to routine CXR images identified individuals at high risk of incident COPD, beyond known risk factors. Patients at high risk might benefit from diagnostic spirometry and subsequent preventive care.

Funding

Verily Life Sciences, San Francisco, California.

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