Artificial Intelligence Used in Screening Adrenal Nodules
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: None intervention.
- Who it may be relevant to
- Registry conditions: Adrenal Incidentalomas, Thoracic CT-scan. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
The Application of Artificial Intelligence in Screening Adrenal Nodules in Low-dose Chest CT
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.
Interventions
- Other None intervention
this study is retrospective based on the CT images, which dose include any intervention.
Primary outcome measures
- Overall Diagnostic Accuracy [Time frame: From enrollment to the end of collection in one and a half years]
Eligibility criteria
Inclusion criteria
- 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;
Exclusion criteria
- Patients with a history of malignant tumors;
- Imaging images with poor quality, artifacts, etc., which make analysis impossible.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Ecologic or community
Study locations
China · 1 center
- Peking University First Hospital — Beijing
Identifiers
NCT: NCT07198152 · 2022yan068-002