Hidden clues could help predict a woman’s breast cancer risk years in advance

An artificial intelligence (AI) tool could help doctors predict a woman’s risk of developing breast cancer years in advance, according to new research.

In a new study, published in the American Journal of Roentgenology, researchers at NYU Langone Health and itsPerlmutter Cancer Centertested an AI model designed to estimate a woman’s risk of developing breast cancer within five years.

The tool looks at several years of a woman’s3D mammogramsto track changes in breast tissue over time, rather than looking only at the latest scan, according to the researchers.

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The model was developed using more than 313,000 mammograms from more than 161,000 women, according to the study.

An artificial intelligence (AI) tool could help doctors predict a woman’s risk of developing breast cancer years in advance.(iStock)

com/tech" rel="noopener noreferrer" target="_blank">AI could helpidentify women whose increased risk might otherwise go unnoticed.

“For decades, as a doctor and breast imaging specialist, I have cared for women who were shocked by a breast cancer diagnosis,” Lehman said.“Again and again, I heard: ‘How can this be?No one in my family has had breast cancer.'”

Traditional risk assessments can consider factors such asfamily historyand genetic mutations, while AI can look for additional clues within a woman’s breast tissue, according to Lehman.

The tool looks at several years of a woman’s 3D mammograms to track changes in breast tissue over time.(iStock)

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“A mammogram can tell us more than whether cancer is visible today — it can also provide information about a woman’s risk of developing cancer in the years ahead,” she said.

That information could eventually help doctors tailorbreast cancer screeningto a woman’s individual risk, Lehman said.

Women identified as being at increased risk could discuss additional screening, such as MRI, with their health care providers, while women at average risk may continue withroutine mammograms, according to Lehman.

The technology could also analyze mammograms a woman has already had, meaning the added risk information would not require another imaging exam or additional radiation, she noted.

Traditional risk assessments can consider factors such as family history and genetic mutations, while AI can look for additional clues in a woman’s breast tissue, experts say.(iStock)

Lehman cautioned that anAI risk scoreis not a cancer diagnosis and cannot predict with certainty whether a woman will develop the disease.

“A higher score can prompt a conversation with your health care provider about additional screening and risk-reduction options,” she said.“A lower score does not eliminate risk or replace regular mammography.”

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The NYU model remains a research tool and is not FDA-authorized for clinical use, according to Lehman.

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The researchers also noted thatmore testing is needed.The study used mammograms from NYU Langone hospitals and imaging equipment from one manufacturer.

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The team plans to test the model using data from other medical centers and different 3D mammography systems, according to NYU Langone.