A routine mammogram is primarily used to examine breast tissue for early signs of cancer, but the images may contain another important health clue. Researchers are increasingly studying whether the same scans can reveal changes in small arteries that may indicate a higher risk of cardiovascular disease.

The finding involves breast arterial calcification (BAC), a condition in which calcium accumulates within the walls of arteries in breast tissue. Although BAC is not a sign of breast cancer, its presence has been associated with cardiovascular problems.

What Calcium Deposits Can Reveal

BAC appears on mammograms as thin, bright lines following the paths of small blood vessels. Unlike calcium deposits sometimes associated with breast tumors, these markings occur within arterial walls and have a different medical meaning.

The deposits are particularly interesting because vascular calcification can reflect changes in blood vessel structure. Arteries may become less flexible, affecting their ability to expand and contract as blood circulates. BAC has also been associated with factors such as ageing, diabetes, high blood pressure and inflammation.

A 2022 study highlighted the potential significance of this finding. Researchers following more than 5,000 women reported that participants with BAC had a 51% higher likelihood of developing cardiovascular disease than those without it. The result strengthened interest in using mammography findings as an additional source of information about cardiovascular risk.

How Artificial Intelligence Improves Detection

One challenge has been the difficulty of measuring BAC accurately. Although radiologists may recognize calcium deposits during image examinations, estimating their amount and severity consistently can be difficult. AI technology could help address this problem. Computer models can examine mammogram images, identify patterns associated with calcium deposits and estimate their extent.

This creates an opportunity to turn a visual observation into more structured information that clinicians can consider alongside established health measurements. A study published in the European Heart Journal in 2026 examined mammograms from 123,762 women without previously diagnosed cardiovascular disease. Researchers used an AI model to classify BAC levels and compared the results with subsequent health outcomes.

The analysis found that higher BAC levels were associated with greater cardiovascular risk. Women with severe deposits showed substantially higher rates of serious cardiovascular outcomes than participants without detectable deposits. The association remained after researchers accounted for several established risk factors.

Why Early Identification Matters for Women

Cardiovascular disease remains a major health concern for women, yet risk may go unrecognized when symptoms are absent or medical assessments focus on other conditions. Blood pressure, cholesterol levels, diabetes and smoking history are commonly considered when evaluating cardiovascular health, but no single measurement captures every aspect of risk.

Expert Insight

Imon Banerjee, Ph.D., scientific director of the Arizona Advanced AI and Innovation Hub at Mayo Clinic, explained the technical advantage of using AI to assess BAC. In a Mayo Clinic News Network report, he stated: “AI allows us to measure these calcium deposits quickly and more accurately than before.”

What Happens After an Abnormal Finding?

A report mentioning BAC should be considered alongside other health information rather than treated as an immediate diagnosis. Depending on the amount of calcification and a person's overall medical profile, a healthcare professional may recommend reviewing blood pressure, cholesterol, blood glucose and family history.

Additional evaluation may be appropriate when several risk factors appear together. Lifestyle measures, including regular physical activity, balanced nutrition, avoiding tobacco and maintaining suitable sleep habits, remain important parts of cardiovascular prevention.

Mammograms may provide more than information about breast health. Calcium deposits in breast arteries could offer an additional clue about cardiovascular risk, while AI may make detection and measurement more consistent.

The approach has potential to support earlier assessment using images already collected during routine screening. Nevertheless, BAC is not a diagnosis, and further clinical research is necessary before it becomes a standard part of cardiovascular screening. Its greatest value may come from helping healthcare professionals recognize overlooked risks and guide timely preventive care.