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Application Research of Artificial Intelligence Assistant System in in Comprehensive Preoperative Evaluation of Early Lung Cancer

Application Research of Artificial Intelligence Assistant System in in Comprehensive Preoperative Evaluation of Early Lung Cancer

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035689
Enrollment
Unknown
Registered
2020-08-16
Start date
2020-12-01
Completion date
Unknown
Last updated
2020-08-17

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

Conditions

Lung cancer

Interventions

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Sponsors

Shanghai Pulmonary Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. At least one lung nodule (size of 5-30mm) was found in CT examinations; 2. High-quality image was obtained with layer thickness thinner than 1.25mm; 3. Patients volunteered to participate in this study and signed informed consent.

Exclusion criteria

Exclusion criteria: 1. The number of lung nodules exceeds 2; 2. The quality of CT images is poor, or patients with comorbidities including extensive pulmonary infection, massive pleural effusion, and diffused interstitial pneumonia, etc.; 3. Patients with imcomplete clinical information; 4. Patients with a history of malignancy; 5. With a history of thoracic surgery.

Design outcomes

Primary

MeasureTime frame
Accuracy;

Countries

China

Contacts

Public ContactDong Xie

Shanghai Pulmonary Hospital

kongduxd@163.com+86 13918918907

Outcome results

None listed

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