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Imaging evaluation and longitudinal dynamic study of chronic obstructive pulmonary disease based on deep learning and radiomics

Deep learning and radiomics research on the diagnosis and evaluation of COPD disease

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036798
Enrollment
Unknown
Registered
2020-08-25
Start date
2022-08-31
Completion date
Unknown
Last updated
2020-09-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

COPD

Interventions

Case series:Nil

Sponsors

Huadong Hospital
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
40 Years to 90 Years

Inclusion criteria

Inclusion criteria: 200 cases of GOLD 1-4 stable COPD patients diagnosed by standard spirometry and 400 cases of retention rate impaired spirometry subjects (PRISm) were continuously included in the respiratory department, thoracic surgery clinic and hospitalization. 400 subjects with normal PFT. Recruited through the Department of Respiration, Thoracic Surgery Clinic and advertisements of East China Hospital affiliated to Fudan University. This project has been approved by the Ethics Committee of East China Hospital Affiliated to Fudan University (see attachment), and all patients have signed an informed consent form. All subjects completed dual gas phase CT examination within 2 weeks before and after PFT measurement. Case collection period: August 2020-2022 August.

Exclusion criteria

Exclusion criteria: (1) History of lung surgery; (2) Severe thoracic deformity; (3) Lung infection, pulmonary consolidation, atelectasis, massive pleural effusion, severe pulmonary interstitial fibrosis and other diseases that affect lung analysis; (4) Patients with severe bronchial asthma, tuberculosis, diffuse bronchiectasis and pulmonary hypertension and other respiratory diseases; (5) Patients with acute pulmonary embolism or pulmonary infarction; (6) History of occupational dust exposure.

Design outcomes

Primary

MeasureTime frame
CT parameters;

Countries

China

Contacts

Public ContactMing Li

Huadong Hospital

ming_li@fudan.edu.cn+86 13816620371

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026