Using AI to screen for adrenal nodules on low-dose chest CT
The Application of Artificial Intelligence in Screening Adrenal Nodules in Low-dose Chest CT
This project will try an AI tool to find adrenal nodules on routine low-dose chest CT scans for adults.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 600 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Peking University First Hospital Academic / other |
| Locations | 1 site (Beijing) |
| Trial ID | NCT07198152 on ClinicalTrials.gov |
What this trial studies
Researchers will collect routine low-dose chest spiral CT images and extract imaging features from the adrenal gland regions to build a training dataset. They will use those features to train and validate an artificial intelligence algorithm for automatic detection and classification of adrenal nodules. The work is observational and uses existing clinical imaging without adding experimental interventions. Poor-quality images and patients with a history of malignancy will be excluded from the dataset.
Who should consider this trial
Good fit: Ideal candidates are adults (over 18) who undergo routine low-dose chest CT scans with diagnostic-quality images and no history of malignant tumors.
Not a fit: People with prior malignant tumors or with CT images that are too poor in quality or have artifacts would likely not benefit from this screening tool.
Why it matters
Potential benefit: If successful, the AI tool could help detect adrenal nodules more quickly and consistently on routine chest CTs, supporting earlier follow-up and diagnosis.
How similar studies have performed: AI methods have shown promise for detecting incidental findings on CT generally, but AI specifically targeted to adrenal nodules on low-dose chest CT is relatively new and less well studied.
Eligibility criteria
Show full inclusion / exclusion criteria
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.
Where this trial is running
Beijing
- Peking University First Hospital — Beijing, China (Recruiting)
Study contacts
- Study coordinator: Shiwei Chen
- Email: 15914944390@163.com
- Phone: +86 159 1494 4390
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.