CT Image-assisted Detection Software for Focal Liver Lesions
Not Applicable
Completed
- Conditions
- Focal Liver Lesion
- Interventions
- Device: CT image-assisted detection software
- Registration Number
- NCT06068413
- Lead Sponsor
- Second Affiliated Hospital, School of Medicine, Zhejiang University
- Brief Summary
To evaluate the safety and effectiveness of the developed and produced CT image-assisted detection software for focal liver lesions before being put into the market.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 376
Inclusion Criteria
- doctors have liver CT scanning experience more than 1 year;
Exclusion Criteria
- persons don't have the license of practicing physician; doctors don't have liver CT scanning experience or have liver CT scanning experience less than 1 year;
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description AI-assisted diagnosis CT image-assisted detection software Doctors diagnose the focal liver lesion with the help of AI.
- Primary Outcome Measures
Name Time Method AFROC 1 year Under different confidence scores, the number of accurately located lesions/the number of true lesions determined by the reference standard was taken as the ordinate coordinate, and (1- the number of negative cases determined by the reference standard/the total number of true negative cases diagnosed by the reference standard) was plotted as the horizontal coordinate
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
2nd Affiliated Hospital, School of Medicine, Zhejiang University
🇨🇳Hangzhou, Zhejiang, China