Adrenal Incidentalomas, Thoracic CT-scan
Conditions
Keywords
automatic segment; automatic classification
Brief summary
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.
Interventions
OTHERNone intervention
this study is retrospective based on the CT images, which dose include any intervention.
Sponsors
Peking University First Hospital
Study design
Observational model
ECOLOGIC_OR_COMMUNITY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Overall Diagnostic Accuracy | From enrollment to the end of collection in one and a half years |
Countries
China
Contacts
Primary ContactShiwei Chen
Outcome results
None listed