Artificial Intelligence Used in Screening Adrenal Nodules
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorPeking University First Hospital
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
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;
Disqualifiers
Patients with a history of malignant tumors;
Imaging images with poor quality, artifacts, etc., which make analysis impossible.
Trial population
The study population consists of individuals aged over 18 years, with no gender restrictions, who underwent chest low-dose CT scans as part of routine physical examinations. Notably, those with a history of malignant tumors are excluded, and only individuals with qualified imaging data (free from poor quality, artifacts, or other issues that hinder analysis) are included.
Trial design
Design model
Ecologic or community
Time perspective
Retrospective
Treatments tested in this trial
None intervention
Other interventionthis study is retrospective based on the CT images, which dose include any intervention.
Treatment groups
600 Participants
are divided into 2 treatment groupsGroup A: Nodular adrenal glands1 intervention
Group B: Normal adrenal glands1 intervention
Trial outcomes
Primary outcomes
1
Overall Diagnostic Accuracy
Time frame
From enrollment to the end of collection in one and a half yearsSponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov