Siemens to distribute Rcadia's COR Analyzer System

Rcadia Medical Imaging and Siemens Healthcare have entered into an agreement for Siemens to distribute Rcadia's COR Analyzer® System.  The COR Analyzer's ability to identify stenotic lesions in Coronary Computed Tomography Angiography (cCTA) studies in combination with Siemens' Syngo®.via CT Cardio-Vascular Engine provides a comprehensive solution for evaluating suspected cardiac patients. The integration of both systems realizes a seamless workflow with enhanced productivity.

Under the non-exclusive agreement, Siemens will offer the COR Analyzer as part of its comprehensive Syngo.via cCTA solution.

"The COR Analyzer and its proven ability to assist in ruling out coronary artery disease is an outstanding complement to Syngo.via," said Stefan Thesen, Ph.D., Director of the Product Management for CT Applications of Siemens Healthcare. "With the COR Analyzer, physicians can experience an immediate indication for potentially diseased coronary patients, and rapidly complete the study evaluation through Syngo.via's advanced visualization tools. This integrated solution optimizes the use of cCTA to speed decision making, reduce hospital costs, and improve patient care."

"The agreement with Siemens, a world leader in CT systems, is a strong endorsement of the COR Analyzer and its ability to fill an important need in cardiac patient assessment," said Shai Levanon, President and CEO of Rcadia. "Partnerships such as this agreement with Siemens will accelerate adoption of the COR Analyzer as a key cCTA solution component."

cCTA is important and rapidly growing, non-invasive procedure for assessing coronary artery disease (CAD). CAD is among the leading causes of mortality in the U.S. CAD affects some 16 million people in the U.S., causes 1.2 million heart attacks, and over 450,000 deaths. Timely and accurate evaluation of suspected CAD patients is among the keys to improving patient care, reducing costs, and improving efficiency in delivering care.  

The COR Analyzer System interprets cCTA images in real time, with no human interaction to provide an immediate indication of whether a patient has significant (50 percent or more) stenosis. The system provides a wet read for fast triage, reading sequence prioritization, workflow optimization and enhancing reader confidence.