Techniques and Pitfalls of Multi-Slice CT Coronary Angiography
- Conditions
- Coronary Artery DiseaseComputed Tomography Angiography
- Interventions
- Radiation: Coronary computed tomography angiography
- Registration Number
- NCT05729490
- Lead Sponsor
- Sohag University
- Brief Summary
The goal of this study is to describe the techniques for coronary multi-slice CT angiography and to illustrate the spectrum of artifacts that can simulate coronary artery stenosis and lead to non-assessable segments using 128- and 160 multi-detector row CT scanners and discuss post-processing pitfalls with each. In addition, to review the normal anatomy and anatomic variants of the coronary arteries and discuss effective strategies for improving the diagnostic accuracy of coronary CT angiography.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 60
- Male and female patients of at least 18 years of age, with suspected symptomatic CAD.
- Un cooperative patients.
- Those who have allergy to iodinated contrast material or contrast-induced nephropathy,
- Elevated serum creatinine level (1.5 mg/dl) or creatinine clearance >60 ml/min.
- Atrial fibrillation.
- Aortic stenosis.
- Percutaneous coronary intervention within the past 6 months.
- Intolerance to beta-blockers.
- Body mass index > 40
- Patients with Agatston calcium scores of >400
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Participants Coronary computed tomography angiography -
- Primary Outcome Measures
Name Time Method Number of techniques 2 months The number of possible techniques used to perform CT coronary angiography
Number of possible strategies to overcome the pitfalls of the study 3 months Number of pitfalls 3 months The number of pitfalls that could mimic coronary artery stenosis and lead to non-assessable segments
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Sohag University hospitals
🇪🇬Sohag, Egypt