Artificial Intelligence Used in Screening Adrenal Nodules

Recruiting

• Conditions: Adrenal Incidentalomas; Thoracic CT-scan

• Registration Number: NCT07198152
• Lead Sponsor: Peking University First Hospital

Brief Summary

By collecting chest low-dose spiral CT plain scan images, extracting effective features from the adrenal gland regions, training and validating an artificial intelligence-based automatic diagnostic algorithm for adrenal nodules, we will ultimately develop an artificial intelligence software with independent intellectual property rights that is specifically designed for screening adrenal nodules in chest low-dose CT scans.

Detailed Description

Not available

Study Timeline

• Status Verified: 2024-09
• Study First Submitted: 2025-08-25
• Study Start: 2025-09-01
• Study First Submitted QC: 2025-09-27
• Last Update Submitted: 2025-09-27
• Study First Posted: 2025-09-30
• Last Update Posted: 2025-09-30
• Primary Completion: 2026-12-30
• Study Completion: 2027-01-30

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 600

Inclusion Criteria

1. The age of the population is over 18 years old, regardless of gender;
2. Images from chest low-dose CT plain scan during routine physical examination;

Exclusion Criteria

1. Patients with a history of malignant tumors;
2. Imaging images with poor quality, artifacts, etc., which make analysis impossible.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Overall Diagnostic Accuracy	From enrollment to the end of collection in one and a half years

Trial Locations

Locations (1)

Peking University First Hospital; 🇨🇳 Beijing, China