Validation of AI based Multimodal Information Images Generation Technique using Early Dynamic Amyloid PET Imaging
- Conditions
- Mental and behavioural disorders
- Registration Number
- KCT0008435
- Lead Sponsor
- Asan Medical Center
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 40
41-80-year-old adult
- Patients with suspected cognitive impairment, such as subjective cognitive impairment, mild cognitive impairment, Alzheimer's disease, and other degenerative brain diseases, and requested an amyloid PET test
- A person who has signed and sealed a prior consent form in accordance with the relevant statutes or his/her representative;
- Patients who are unable to stably perform PET/CT imaging due to lack of cooperation, such as claustrophobia, motor dysfunction, anxiety disorder, seizures,etc.
- Subjects are accompanied by severe and/or unregulated and/or unstable medical conditions (e.g., congestive heart failure, acute myocardial infarction, severe lung disease, chronic kidney disease, or chronic liver disease) at the discretion of the tester.
- Where it is judged by the tester that it will be impossible for the subject to complete data collection for clinical trials due to personal circumstances or other reasons;
- a pregnant or lactating woman
Study & Design
- Study Type
- Interventional Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Consensus rate of visual/quantitative determination of amyloid positive/negative of virtual amyloid images generated using artificial intelligence in early dynamic images and actually obtained delayed amyloid PET images
- Secondary Outcome Measures
Name Time Method Correlation between virtual amyloid images generated using artificial intelligence in early dynamic images, virtual brain metabolic images, and local brain region intake ratio (SUVR) measured from actual obtained delayed amyloid PET and FDG PET images.