Evaluation of the image quality of deep learning image reconstruction on low-dose and ultralow dose chest CT
Not Applicable
Completed
- Conditions
- Diseases of th respiratory system
- Registration Number
- KCT0004692
- Lead Sponsor
- Seoul National University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 40
Inclusion Criteria
(1) Adults with the age of 20 or older.
(2) Patients who visit the pulmonology outpatient clinic for respiratory disease.
Exclusion Criteria
(1) Pregnant women
(2) Chest CT scan not possible due to breathing difficulty
(3) Patients who have undergone surgery or procedure that may affect chest CT image quality, including central venous tube, implantable cardioverter-defibrillator, and valve replacement.
(4) BMI over 30
Study & Design
- Study Type
- Interventional Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Objective image quality assessment - noise measurement, lung nodule evaluation
- Secondary Outcome Measures
Name Time Method Subjective image quality assessment - 5 point grading of image quality by radiologists;Radiation dose evaluation - CTDIvol, DLP, estimated effective radiation dose