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syngo.CT Coronary Cockpit

syngo.CT Coronary CockpitAchieve next-level Plaque Analysis for CAD management

Cardiovascular diseases are one of the leading causes of death worldwide.¹ Since the burden coronary artery disease (CAD) and other heart conditions place on healthcare systems will continue to grow, driving innovations in cardiac imaging is crucial.

Patients and healthcare providers need less invasive and time-consuming solutions, and more efficiency and precision for diagnosis and treatment. Cardiac CT can help you achieve next level CAD management.

Quantified plaque data enables deeper insights for intervention planning and treatment. syngo.CT Coronary Cockpit is an AI-powered application designed to automatically segment and label coronaries and visualizes and quantifies plaque types for the whole coronary tree or individual lesions. Easy visuals and reporting capabilities also allow this information to make an impact outside the radiology department.

"syngo.CT Coronary Cockpit is a new automated tool. It provides a fast approach to unlocking the information hidden in CT images."²

Bálint Szilvester, MD, PhD

Heart and Vascular Centre, Semmelweis University, Budapest, Hungary

Cardiovascular care in practice

Bálint Szilvester, MD, PhD, talks about how useful it is to have information from CT images before sending patients to the cath lab, and how syngo.CT Coronary Cockpit software provides a clear summary of lesions and plaque burden.²

Features & Benefits

syngo.CT Coronary Cockpit is designed to add precision to CAD management. Anatomical and morphological data have the potential to boost efficiency in the cath lab, and bringing CT information into the cath lab provides an intuitive overview of the coronary anatomy and pathology. This supports an improved plaque assessment and intra-procedural decision-making (e.g. lesion preparation, stent length, and landing zone). This is meaningful in personalized care for potentially more patients.

Plaque characterization can assist in optimizing CAD decisions about treatment or intervention planning with data provided before entering the cath lab.

Make heart decisions easier

Plaque characterization can assist in optimizing CAD decisions about treatment or intervention planning with data provided before entering the cath lab.
AI-based automatic plaque segmentation, labeling, and visualization are designed to help create a smooth and quick workflow.

Comprehensive anatomical and morphological assessment assists in stratifying the next therapy step

Rely on best-in-class solutions

Comprehensive anatomical and morphological assessment assists in stratifying the next therapy step.
High-resolution CCTA images in combination with reading software provides answers prior to the interventional procedure.

syngo.CT Coronary Cockpit is part of the integrated and sustainable solutions for CAD management that include all the steps of the CAD pathway.

Deliver non-invasive answers

syngo.CT Coronary Cockpit is part of the integrated and sustainable solutions for CAD management that include all the steps of the CAD pathway.
Our innovative software works in harmony with our best-in-class hardware such as the world’s first fleet of photon-counting CTs, the NAEOTOM Alpha class or our established SOMATOM scanners, contributing to clinical accuracy and CAD case management efficiency.

General Requirements

Get a Recommendation

syngo.CT Coronary Cockpit is pending 510(k) clearance, and is not yet commercially available in the United States and other countries. The products/features (mentioned herein) are not commercially available in all countries. Their future availability cannot be guaranteed. Please contact your local Siemens Healthineers organization for further details

1

Source: World Health Organization; key facts of cardiovascular diseases (CVDs); reviewed September 2016

2

The statement by Siemens Healthineers' customers described herein are based on results that were achieved in the customer's unique setting. Because there is no "typical" hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results.