Artificial Intelligence Used in Screening Adrenal Nodules

NCT ID: NCT07198152

Last Updated: 2025-09-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

600 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-09-01

Study Completion Date

2027-01-30

Brief Summary

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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

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Conditions

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Adrenal Incidentalomas Thoracic CT-scan

Study Design

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Observational Model Type

ECOLOGIC_OR_COMMUNITY

Study Time Perspective

RETROSPECTIVE

Study Groups

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Nodular adrenal glands

Adrenal region segmentation and adrenal nodule identification in chest CT via artificial intelligence

None intervention

Intervention Type OTHER

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

Normal adrenal glands

Adrenal region delineation and adrenal gland identification in chest CT using artificial intelligence

None intervention

Intervention Type OTHER

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

Interventions

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None intervention

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

Intervention Type OTHER

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Peking University First Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Peking University First Hospital

Beijing, , China

Site Status RECRUITING

Countries

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China

Central Contacts

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Shiwei Chen

Role: CONTACT

+86 159 1494 4390

Facility Contacts

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Peking University First Hospital

Role: primary

+86 66119025

Related Links

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Other Identifiers

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2022yan068-002

Identifier Type: -

Identifier Source: org_study_id

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