Artificial Intelligence Used in Screening Adrenal Nodules

N/ARecruitingNCT07198152

Peking University First Hospital600 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

600

Conditions

Adrenal Incidentalomas Thoracic CT-scan

Interventions

None interventionOTHER

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

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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.

Locations (1)

Peking University First Hospital

Beijing, China

RECRUITING

Outcomes

Primary Outcomes

Overall Diagnostic Accuracy

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

Central Contacts

Shiwei Chen

CONTACT

+86 159 1494 4390 15914944390@163.com

Data from ClinicalTrials.gov

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