Heart rate and CT density at the aortic root significantly affect image quality in coronary CT angiography, according to a study presented at the European Congress of Radiology.
Heart rate and CT density at the aortic root significantly affect image quality in coronary CT angiography, according to a study presented at the European Congress of Radiology.
Dr. Yining Wang and colleagues from Peking Union Medical College Hospital evaluated the image quality of coronary CTA in 188 patients with suspected coronary artery disease using a 16-slice scanner. Patients with heart rates above 65 bpm received beta blockers. All studies were reconstructed into maximum intensity projections and volume rendered images.
The left main, left anterior descending, left circumflex, and right coronary arteries were evaluated for image quality. Results were divided into three groups:
Class I contained 85% of 610 branches, while 11% were in class II, and 4% in class III. The left main artery had more branches in class I, while the right coronary artery had the fewest.
CT density in the origin of the aorta was highest in class I and lowest in class III. Lower heart rates were associated with images in class I, while higher rates were associated with class III. Logistic regression analysis indicated that heart rate and CT density in the root of the aorta have the most significant impact on image quality, Wang said.
For more information from the Diagnostic Imaging archives:
Cardiac CT's triple ruleout: Is it hype or real benefit?
CT angiographers predict widespread reimbursement
Cardiac Imaging: Radiologists move to protect MR and CT turf
GE HealthCare Debuts AI-Powered Cardiac CT Device at ACC Conference
April 1st 2025Featuring enhanced low-dose image quality with motion-free images, the Revolution Vibe CT system reportedly facilitates improved diagnostic clarity for patients with conditions ranging from in-stent restenosis to atrial fibrillation.
Predicting Diabetes on CT Scans: What New Research Reveals with Pancreatic Imaging Biomarkers
March 25th 2025Attenuation-based biomarkers on computed tomography (CT) scans demonstrated a 93 percent interclass correlation coefficient (ICC) agreement across three pancreatic segmentation algorithms for predicting diabetes, according to a study involving over 9,700 patients.
Can Photon-Counting CT be an Alternative to MRI for Assessing Liver Fat Fraction?
March 21st 2025Photon-counting CT fat fraction evaluation offered a maximum sensitivity of 81 percent for detecting steatosis and had a 91 percent ICC agreement with MRI proton density fat fraction assessment, according to new prospective research.