In 2015, the United Nations (UN) adopted 17 Sustainable Development Goals. Goal 3 and 4 aim to reduce premature deaths from noncommunicable diseases, including cancer, by one third by 20301.
With lung cancer being one of the leading causes of cancer death, Canon Medical, under our Made for Life philosophy, is committed to improve patient outcomes by supporting healthcare professionals and eligible patients along their journey with our advanced imaging solutions that facilitate reliable and seamless screening.
Through the "Screen for Life. Breathe with Hope." initiative, we aim to change societal perceptions of lung cancer and encourage participation in early screening, which would ultimately contribute to the reduction of cancer mortality. Collaborating with experts in this discipline, we will provide comprehensive information to help healthcare professionals address the needs of the prospective participants.
Discover the latest insights on lung cancer screening below.
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Canon Medical aims to be your partner in the fight against lung cancer and offers a unique set of lung cancer screening solutions. These include a suite of innovative technologies to enhance your clinical confidence everywhere, delivering high-quality imaging at low dose, streamlining workflows, and offering comprehensive diagnosis throughout the entire cycle of care.
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Lung cancer is the leading cause of cancer related death worldwide and the second most commonly diagnosed cancer.
Early detection of lung cancer increases the chances of survival. The majority of patients with late detection (stage IV) die within 5 years while patients with lung cancer detected in an early stage (stage 1A) have a higher chance of survival, over 5 years.
Earlier detection through screening programs could significantly improve patient outcomes. In high-risk individuals, the risk of dying of lung cancer is reduced by 20% for men. In women, the reduction in lung cancer mortality may be even higher.
As patients can be treated earlier, screening for lung cancer has the potential to reduce costs. However, the extent of savings heavily depends on how screening programs are implemented.
Many individuals at high risk for lung cancer are often unaware of the potential benefits of screening or may face barriers such as cost, accessibility, or fear of the screening process.
Workflow issues, such as managing the influx of screening participants and ensuring timely communication of results, can be a significant burden. Moreover, the repetitive nature of interpreting numerous lung scans can be mentally draining and lead to a loss of enthusiasm.
Screening participants are typically exposed to repeated CT scans which raises concerns around radiation dose. Lung cancer screening when performed without efficient CT hardware and image reconstruction algorithms, may yield inconclusive or false positive results, leading to additional and costly follow-up procedures, while causing anxiety and stress for patients.
Cost-effectiveness of the program requires a careful balance of the investments in equipment and staff, training, and the number of diagnostic and downstream follow-up procedures versus the benefits of improved health outcomes and less spending on costly therapies in the long-run.
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 optimizes 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 Visualization lung cancer screening solution automatically detects lung nodules, enables comprehensive lung analysis and supports faster and more efficient diagnosis.
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High-quality lung CT imaging at 0.54 mSv utilizing the combination of SilverBeam Filter and AiCE.
In this patient, a small lung nodule is clearly visible in the upper right lobe.
Courtesy of Fujita Health University Hospital, Japan
In contrast to the chest X-ray, the presence of lung cancer is clearly visible in the left upper lobe. Utilizing the combination of SilverBeam Filter and AiCE, the effective dose of this scan was only 0.18 mSv, a dose level closer to a chest X-ray3
Courtesy of Dr. Russell Bull, Royal Bournemouth Hospital, Bournemouth, UK
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.
Courtesy NHLBI, National Institutes of Health, USA
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Watch our speakers present the latest developments in lung cancer screening, give advice on how to overcome barriers in clinical implementation and improve access to screening and share the newest technology in ultra-low dose CT.
Download our latest white papers and case studies on lung cancer screening solutions using Canon technologies here.
Find our latest scientific evidence on lung cancer screening solutions using Canon technologies here.
Yanagawa, M et al. | Lung adenocarcinoma at CT with 0.25- mm section thickness and a 2048 matrix: high-spatial-resolution imaging for predicting invasiveness |Radiology (2020)
Tsubamoto, M et al. | Ultra high-resolution computed tomography with 1024-matrix: Comparison with 512-matrix for the evaluation of pulmonary nodules. |European Journal of Radiology (2020)
Lucia J M Kroft et al. | Added Value of Ultra-Low-Dose Computed Tomography, Dose Equivalent to Chest x-Ray Radiography, for Diagnosing Chest Pathology | J Thorac Imaging (2019)
Fujita, M et al. | Lung cancer screening with ultra-low dose CT using full iterative reconstruction | Japanese journal of radiology (2017)
Meyer, E. et al. | Wide-volume versus helical acquisition in unenhanced chest CT: prospective intra-patient comparison of diagnostic accuracy and radiation dose in an ultra- low-dose setting |European Radiology (2019)
Schaal, M. et al. | Diagnostic Performance of Ultra-Low-Dose Computed Tomography for Detecting Asbestos-Related Pleuropulmonary Diseases: Prospective Study in a Screening Setting| PLOS One (2016)
Kakinuma R et al. | Ultra-High-Resolution Computed Tomography of the Lung: Image Quality of a Prototype Scanner | PLoS ONE (2015)
Nomura, Y et al. | Effects of iterative reconstruction algorithms on computer-assisted detection (CAD) software for lung nodules in ultra- low- dose CT for lung cancer screening |Academic Radiology (2017)
3. RadiologyInfo.org | Radiation Dose from X-Ray and CT Exams | RadiologyInfo.org. (2022)
© CANON MEDICAL SYSTEMS EUROPE B.V.
© CANON MEDICAL SYSTEMS EUROPE B.V.