Breast cancer (breast carcinoma; often abbreviated as BRCA) is the most common cancer in women in many countries and the cancer with the highest mortality rate. The diagnostic and therapeutic options for breast cancer are correspondingly diverse. Read more about the latest research, diagnoses and treatments.
AI may be effective at detecting advanced breast cancer in mammograms, but current models still lack reliability. New research from Korea suggests that up to 14% of invasive cases are missed.
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 from Toronto General Hospital University Health Network, was presented at the European Society of Cardiology's Cardio-Oncology Conference in…
Researchers report they have built a new non-toxic and non-radioactive handheld device that uses the unique properties of diamonds to diagnose metastasized breast cancer.
Mammography image interpretation AI models are unreliable – but so are human readers. A new hybrid strategy could reduce radiologist workload by 38% without compromising diagnostic efficacy.
More clinically relevant tumors detected at an earlier stage and at lower costs: New research finds that AI can replace the second radiologist in the Dutch breast cancer screening program.
Common respiratory infections such as influenza and Covid-19 can awaken dormant breast cancer cells that have spread to the lungs, setting the stage for new metastatic tumors, new research finds.
When should preventive mastectomy be offered for women at higher risk of breast cancer? A new evaluation model defines thresholds at which risk reducing surgery should be recommended.
Dense calcifications are common in breast tissue, but not every finding in a mammogram is a precursor of cancer. New insights could lead to fewer benign biopsies and guide therapeutic development.
RadNet's DeepHealth unit has completed its acquisition of iCAD, adding established AI breast cancer detection capabilities to its diagnostic platform.
By directing radiologists' attention to potentially suspicious areas, AI can help spot more lesions indicative of breast cancer in mammograms. This is suggested by a new study.
Newly developed technology can detect breast cancer relapses up to five years in advance. This advance could represent a turning point in post-treatment follow-up, the researchers hope.
In a new study, researchers have developed a new fluorescent probe to visualise signaling dynamics in moving cancer cells, to uncover a new therapeutic possibility for limiting breast cancer spread.
Many women are only diagnosed with breast cancer after they present to a doctor with symptoms. A new study points out that early detection through screening leads to improved outcomes.
When it comes to breast cancer, ethnic differences matter, putting some women at a significantly higher risk, a new study finds. Genetic ancestry should therefore be considered as a risk factor.
Diagnosing breast cancer in women with extremely dense breasts often comes down to MRI, but the scans take long and are expensive. Research confirms that shorter protocols also yield accurate results.
Does having blood type A increase the risk of breast cancer? A new systematic review and meta-analysis involving more than 13,000 breast cancer patients suggests a connection.
Using radiomics on mammograms of over 30,000 women, researchers have identified six breast texture patterns that may be associated with increased cancer risk.
A novel deep-learning approach automatically finds and classifies microcalcifications found in mammography images—bringing both accuracy and consistency to breast-cancer screening.
At the San Antonio Breast Cancer Symposium (SABCS), three experts presented new approaches and study results for the treatment of breast cancer in young women.
