Breast cancer

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Article • Risk stratification initiatives in Europe and UK

The future of breast imaging: a date with density

About 60% women in Europe enrolled in a national breast cancer screening programme who have a screening mammogram can feel reasonably confident that radiologists will be able to diagnose early-stage breast cancer. But what about the 30% categorised as having dense breasts, and the 10% who have extremely dense breasts? At the 2025 SBI (Society of Breast Imaging) Breast Imaging Symposium held in…

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Article • Management of escalating imaging workload

Breast cancer screening: growing with the challenge

Rising attendance in mammography screening programmes attest to the fact that women understand the importance of early breast cancer detection. However, the resulting workload increase is a growing challenge for many women’s imaging centres. At the 2025 SBI (Society of Breast Imaging) Symposium, breast imaging specialist Stamatia V. Destounis, MD, discussed her practice’s coping strategies.

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Article • AI-powered prediction

Machine learning identifies cardiotoxicity risk in breast cancer patients

Researchers have developed a machine learning algorithm that uses cardiac MRI images to help identify breast cancer patients who may be at risk of cardiotoxicity during cancer treatment. The research, led by cardiologist Dr Paaladinesh Thavendiranathan, was presented at the European Society of Cardiology's Cardio-Oncology Conference in Florence in June.

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