New, automated system for diagnosis of major coronary artery stenosis allows radiologists to prioritize critical cases

"A new automated system designed for the interpretation of coronary CT angiography (CCTA), helps radiologists determine which cases are high priority and should be read first, according to a study performed at Thomas Jefferson University in Philadelphia, PA. The study included 100 CCTA studies submitted for evaluation using the new automated system (COR Analyzer II Software). 'The software detected 10/13 patients with artery stenosis 50% or greater and correctly identified 59/80 patients with less than 50% artery stenosis,' said Shaoxiong Zhang, MD, lead author of the study. The negative predictive value for the study population was high, 95%,' said Dr. Zhang." - American Roentgen Ray Society