Accuracy of automated measurement system for pleural effusion on chest CT
Not Applicable
Recruiting
- Conditions
- Diseases of the respiratory system
- Registration Number
- KCT0006683
- Lead Sponsor
- Seoul National University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 87
Inclusion Criteria
1. Individuals with an age of 19 years or older
2. Patients undergoing thoracentesis for clinical (diagnostic or therapeutic) purposes
Exclusion Criteria
1. Clinically unstable patients who cannot undergo chest CT (Decision by the radiologist who performs thoracentesis)
2. Patients with severe artifact on chest CT in which analysis by the artificial intelligence system is impossible.
3. Patients with pleural metastasis in which differentiation pleural nodule or mass between pleural effusion is impossible on precontrast CT.
4. Pregnant women
Study & Design
- Study Type
- Interventional Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Absolute error between the difference of the AI-measured amount of pleural effusion before and after thoracentesis and the amount of drained pleural fluid at the drain side;Absolute error between the difference of the AI-measured/manually-corrected measured amount of pleural effusion before and after thoracentesis and the amount of drained pleural fluid at the drain side
- Secondary Outcome Measures
Name Time Method