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Construct a multi-center multi-modal database for pulmonary nodules for the Chinese population to support the development of AI-assisted diagnosis models

Construct a multi-center multi-modal database for pulmonary nodules for the Chinese population to support the development of AI-assisted diagnosis models

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400089843
Enrollment
Unknown
Registered
2024-09-18
Start date
2024-01-01
Completion date
Unknown
Last updated
2024-09-23

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

Conditions

Lung nodules

Interventions

Gold Standard:Histopathological findings
Index test:Predictive models constructed based on chest imaging (accuracy, sensitivity, specificity, AUC values)

Sponsors

Department of Radiology, Second Affiliated Hospital of Naval Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: A. Data source: Data screening from different centers, and the number of samples in each center should be as balanced as possible; B. Sex ratio of patients: the ratio of males to females is approximately 1:1; C. Age distribution of patients: Age distribution should be considered when collecting data, and the proportion of the number of included age groups should be similar to the age distribution of the real-world disease population; D. Tumor staging: all confirmed cases of lung cancer have diagnostic staging results, and the staging description is based on the American Cancer Federation (AJCC) 8th edition TNM staging system;

Exclusion criteria

Exclusion criteria: 1) Poor image quality, making it difficult to identify lesions; 2) Preoperative antitumor treatment such as radiotherapy and chemotherapy.

Design outcomes

Primary

MeasureTime frame
Accuracy;Sensitivity;Specificity;

Countries

China

Contacts

Public ContactShiyuan Liu

Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China

shczyy_lsy@163.com+86 187 2180 7639

Outcome results

None listed

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