Breast cancer

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.

News • Transformer-based learning from radiomics and clinical data

New AI model improves prediction of breast cancer recurrence

An international team has developed an AI model that brings together medical imaging data and clinical information to calculate the risk of breast cancer tumour recurrence more accurately.

Article • Management of escalating imaging workload

Breast cancer screening: growing with the challenge

When localised breast cancer is identified at an early stage, it is curable. Rising attendance in mammography screening programmes attest to the fact that women have gotten that message. However, the…

News • Study explores clinical potential of WGS

Whole genome sequencing could help 15,000 breast cancer patients per year, study finds

Breast cancer claims around 670.000 lives each year. Now, researchers propose that whole genome sequencing (WGS) could help many patients find better treatments or match them with clinical trials.

News • Quantitative analysis of the mammary ductal tree

Calculating breast health with branching math

Researchers have developed a tool to quickly quantify changes in the branches of mouse mammary glands. This could one day be used to detect early warning signs of breast cancer.

News • Call for more informed decision

Hormone replacement therapy after breast cancer: a risk worth taking?

Breast cancer survivors are often discouraged from undergoing hormone replacement therapy (HRT) to alleviate menopause symptoms. Now, new research paints a more differentiated picture.

News • Reliability of mammography analysis

AI still misses 14% of advanced breast cancer cases, study finds

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.

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 from Toronto General Hospital University Health Network, was presented at the European Society of Cardiology's Cardio-Oncology Conference in…

News • Endoscopic magnetometer

Finding cancer with diamond sensors

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.

News • Breast cancer screening

Mammography: Hybrid reading to overcome AI overconfidence

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.

News • Mammogram assessment

AI can replace second radiologist in breast cancer screening, study finds

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.

News • Respiratory viruses wake up cells in the lungs

How Covid-19 and flu infections revive dormant breast cancer

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.

News • Lifetime risk thresholds for mastectomy

Breast cancer: When should clinicians offer surgical options?

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.

News • Beyond the mammogram

Cracking the code of breast calcifications – with geology?

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.

News • Digital health

DeepHealth completes iCAD acquisition for breast cancer AI tools

RadNet's DeepHealth unit has completed its acquisition of iCAD, adding established AI breast cancer detection capabilities to its diagnostic platform.

News • "An additional set of eyes"

Breast cancer diagnosis: AI decision support improves radiologists' performance

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.

News • MRD assessment

Liquid biopsy to detect breast cancer relapse up to 5 years in advance

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.

News • Fluorescent probe

New visualisation tool targets breast cancer dissemination

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.

News • Study confirms value of early detection

Breast cancer: better outcomes through routine screening

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.

News • Appeal for tailored care approaches

Breast cancer: Study reveals ethnic differences in development and 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.

News • Study on diagnostic accuracy of AB-MRI

Abbreviated MRI effectively detects cancer in dense breasts

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.

News • ABO antigen analysis

Blood type A identified as breast cancer risk factor

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.

News • Radiomic parenchymal phenotypes

Dense breasts = high cancer risk? It's not that simple

Using radiomics on mammograms of over 30,000 women, researchers have identified six breast texture patterns that may be associated with increased cancer risk.

News • Breast cancer diagnosis

AI classifies mammography microcalcifications

A novel deep-learning approach automatically finds and classifies microcalcifications found in mammography images—bringing both accuracy and consistency to breast-cancer screening.

Article • San Antonio Breast Cancer Symposium (SABCS)

Young women and breast cancer: research in focus

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.

Article • Exploring imaging advances and their impact on radiographers

‘The future of breast MRI is bright’

Breast MRI has emerged as a powerful diagnostic tool, particularly for women with dense breast tissue where traditional mammography faces limitations. In her presentation at ECR 2025, radiographer Hanna Kalliomäki highlighted several technological advances transforming breast cancer detection and diagnosis. From time-saving abbreviated protocols and AI-assisted analysis to contrast-free…

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