Reduced or no “padding” during ECG-triggered coronary CT angiography results in a substantial reduction in radiation dose without affecting image quality and interpretability, according to a study in the April American Journal of Roentgenology.
Reduced or no “padding” during ECG-triggered coronary CT angiography results in a substantial reduction in radiation dose without affecting image quality and interpretability, according to a study in the April American Journal of Roentgenology.
The study included 886 patients who underwent ECG-triggered coronary CTA with a padding duration of 0, 1 to 99, or 100 to 150 msec. Padding refers to the extra time added before and after the minimum time CTA must be on during each heartbeat.
Increased padding was associated with a greater radiation dose: a 45% increase per 100-msec increase in padding. No difference in image interpretability between padded and unpadded images was seen at the three sites: Weill Cornell Medical College in New York; Fairfax Radiology Associates in Fairfax, VA; and the University of British Columbia in Vancouver, BC.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.
Can CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
April 14th 2025In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).