How image quality can be improved: our experience with multidetector computed tomography coronary angiography

Area of Science:

• Cardiovascular Imaging
• Radiology
• Medical Diagnostics

Background:

• Multidetector computed tomography coronary angiography (MDCT CA) is essential for diagnosing coronary artery disease.
• Image quality is paramount for accurate interpretation of MDCT CA scans.
• Factors influencing image quality require thorough investigation to optimize diagnostic yield.

Purpose of the Study:

• To investigate factors affecting image quality in MDCT CA.
• To identify key elements from patient preparation to postprocessing that influence diagnostic image quality.
• To establish best practices for achieving optimal MDCT CA image quality.

Main Methods:

• A retrospective analysis of 224 patients undergoing MDCT CA.
• Image quality was assessed based on contrast material phase and stepladder artifact.
• Factors including patient selection, preparation, scanning parameters, and postprocessing were evaluated.

Main Results:

• Optimal contrast phase and minimal stepladder artifact were achieved in a significant portion of patients (41.5% and 67.9%, respectively).
• Factors such as breath-holding capability, heart rate, and calcium score influenced image quality.
• Patient selection and adherence to scanning protocols were critical for image quality.

Conclusions:

• Patient selection, cooperation, and breath-holding exercises are vital for high-quality MDCT CA.
• Appropriate scanning techniques, including contrast timing and ECG gating, are important.
• Effective postprocessing, such as reconstruction interval selection, further enhances image quality and diagnostic accuracy.