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CT data collection of pulmonary nodules and analysis of artificial intelligence

CT data collection of pulmonary nodules and analysis of artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR-DDD-17014131
Enrollment
Unknown
Registered
2017-12-25
Start date
2018-01-01
Completion date
Unknown
Last updated
2018-01-08

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

Conditions

pulmonary nodules

Interventions

Gold Standard:Pathological diagnosis
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Sponsors

huadong hospital affiliated to fudan university
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. At least one nodule was found in CT scan; 2. Nodules are 3cm in diameter and below; 3. Pathological results were obtained;

Exclusion criteria

Exclusion criteria: 1. Patients with basic lung disease such as chest surgery, large area of lung infection, large amount of hydrothorax, diffuse interstitial pneumonia, etc. 2. Poor quality of image collection; 3. The lesion diameter of the lung is greater than 3cm; 4. Postoperative pathology proved benign lesion.

Design outcomes

Primary

MeasureTime frame
Pulmonary nodules;SEN, SPE, ACC, AUC of ROC;

Countries

China

Contacts

Public ContactMing Li

Huadong Hospital Affiliated to Fudan University

minli77@163.com+86 13816620371

Outcome results

None listed

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