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NCT Number: NCT07198152

Artificial Intelligence Used in Screening Adrenal Nodules

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.

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Key information

Conditions

Adrenal Incidentalomas Adrenal incidentaloma Thoracic CT-scan

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Peking University First Hospital

Beijing, China

Location status: Recruiting

Location contact

Peking University First Hospital

CONTACT

+86 66119025

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

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

Treatment and study plan

None intervention

Other

this study is retrospective based on the CT images, which dose include any intervention.

Primary outcomes

  1. Overall Diagnostic Accuracy

    Time frame: From enrollment to the end of collection in one and a half years

Study contacts

Contact information is provided by the study sponsor or research team.

Shiwei Chen

CONTACT

[email protected]

+86 159 1494 4390

Sponsors and collaborators

Lead sponsor

Peking University First Hospital

Other

Registry information

Official study title

The Application of Artificial Intelligence in Screening Adrenal Nodules in Low-dose Chest CT

Important dates

Study start
2025
Primary completion
2026
Study completion
2027
First posted
Sep 30, 2025
Registry last updated
Sep 30, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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