Artificial Intelligence Used in Screening Adrenal Nodules

Peking University

Status: Enrolling

Conditions: Thoracic CT-scan; Adrenal Incidentalomas

Treatments: Other: None intervention

Study type: Observational

Funder types: Other

Identifiers

NCT07198152

2022yan068-002

Details and patient eligibility

About

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.

Enrollment: 600 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

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.

Trial design

600 participants in 2 patient groups

Nodular adrenal glands

Description:

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

Treatment:

Other: None intervention

Normal adrenal glands

Description:

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

Treatment:

Other: None intervention