Breast imaging is a mainstay at ECR – and in times of Covid-19, the need for innovation is greater than ever: techniques like AI-assisted mammography and advanced screening programs, DBT and managing cancer-questionable breast lesions can help turn the tide and save many lives.
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Article • The iCAIRD projectAI to aid Scottish breast screeningImplementation of artificial intelligence into Scotland’s national breast screening service is moving closer following an initial success with a trial project. While Scotland’s breast screening trial has delivered highs and lows, significant ... |
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Article • AI tool might reduce surgeryManaging cancer-questionable breast lesionsThe management of biopsied breast lesions that are diagnosed as abnormal but are not definitively malignant is challenging and controversial. Treatment ranges from diligent follow-up, with imaging and subsequent biopsy, to surgical excision. ... |
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Article • Covid-19's impactAwareness is key for breast screening servicesThe impact of Covid-19 has been devastating; countless lives lost, millions of infections worldwide, health systems overwhelmed and economies rapidly shrinking. Screening, such as for breast or cervical cancer, is an area particularly affected, with ... |
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Sponsored • Viewing through a ‘window’ empowers managementHow to shape a blueprint for progressHospital data from a wide range of disciplines, departments and specialties strongly influences crucial decision-making and planning. Agfa HealthCare’s Business Intelligence solution, for example, uses data to measure, understand and predict ... |
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Article • Images and patient data combinedIntegrated radiomics improves clinical outcomesHarnessing the power of radiomics, and adopting an integrated approach to combine imaging and patient data could lead to better clinical cancer outcomes. The move has opened the door for clinicians to explore a non-invasive approach to identify the ... |
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Article • Superior in identifying cancers in symptomatic younger womenBreast cancer detection: advantage DBTDigital breast tomosynthesis (DBT) increases detection of breast cancer in symptomatic women under the age of 60, especially in dense breasts. A large, multi-institutional study conducted in the United Kingdom comparing the sensitivity of full-field ... |
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Article • Deep Computer-Aided TriageDeepCAT: An AI tool to improve high volume mammography reading workflowA new deep learning system to help radiologists improve their workflow efficiency when reading high volumes of screening mammograms is being developed at Johns Hopkins University’s Radiology Artificial Intelligence Lab (RAIL) in Baltimore, MD. ... |
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