We are taking measures to increase the accessibility of lung cancer screening for the public, providing high-quality imaging at low dose, removing workflow inefficiencies, supporting the interpretation and communication of findings among clinicians, and streamlining follow-up procedures.
Together, we can improve the patient experience and ensure a high-quality and cost-effective screening program, while minimising the burden of lung cancer on patients worldwide.
Related products
Our Mobile Imaging Solutions allow you to conveniently perform scans, expanding accessibility and bringing the screening experience closer to your patients.
Our new workflow experience, INSTINX optimises efficiency, ensuring quick and seamless CT scans.
Our AI-enhanced CT lung cancer screening solutions, including the combination of SilverBeam filter and AiCE offer high-quality images with minimal noise and radiation exposure.
Our Vitrea Advanced Visualisation lung cancer screening solution automatically detects lung nodules, enables comprehensive lung analysis and supports faster and more efficient diagnosis.
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Lung cancer screening demands high patient throughput and low radiation dose while providing images that have the quality for a reliable assessment of nodule growth and malignancy. The unique combination of SilverBeam Filter with our specific Deep Learning imaging reconstruction results in the best possible image quality at typical lung cancer screening doses.
High-quality lung CT imaging at 0.54 mSv utilising the combination of SilverBeam Filter and Advanced intelligent Clear-IQ Engine (AiCE).
In this patient, a small lung nodule is clearly visible in the upper right lobe.
SilverBeam Filter combined with AiCE delivers high-quality images of the lungs at a dose closer to a chest X-ray.
In this patient, 94% dose reduction was achieved at follow-up through the implementation of our SilverBeam Filter as compared to the initial scan using a standard filter, while nodule conspicuity was maintained.
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Automatically detects potentially actionable lung nodules and quantitative assessment of growth.
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© Canon Medical Systems ANZ Pty Limited.