Using AI to screen for adrenal nodules on low-dose chest CT

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• Peking University First Hospital
  Beijing, China Recruiting

Study contacts

• Study coordinator: Shiwei Chen
• Email: 15914944390@163.com
• Phone: +86 159 1494 4390

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.