Oncologists in the UK have developed an AI model to help predict whether aggressive forms of breast cancer will spread based on changes in a patient’s lymph nodes.
The search was Published on Thursday in the Journal of Pathology of Breast Cancer and funded by scientists at King’s College London.
Secondary or “metastatic breast cancer” refers to when breast cancer cells have spread to other parts of the body. Although treatable, it cannot be cured.
The researchers behind last week’s study hope that by using AI to analyze the immune response in the lymph nodes of women with triple-negative breast cancer, they can better predict how likely the disease is to spread. .
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FILE: A doctor examines a mammogram, a special type of X-ray of the breasts, used to detect tumors as part of a routine cancer prevention medical check-up at a clinic in France. (REUTERS/Eric Gaillard)
Lymph nodes are lumps of tissue throughout the body, which are important in helping the body fight infection and disease. If breast cancer cells begin to spread, patients usually need more intensive treatment.
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Still, researchers believe it is possible to predict whether cancer cells will spread based on their immune response.
AI is assisting pathologists in overall tumor percentage, tumor length and classifying areas suspicious for cancer. (Page AI)
Dr. who led the research. Anita Grigoriadis said the team took the findings under the microscope and “translated them into a deep-learning framework to build an AI model, potentially helping doctors treat and care for patients, giving them a While providing more tools. weapons to help prevent secondary breast cancer.”
The researchers tested the AI model on more than 5,000 lymph nodes donated to biobanks by about 350 patients.
“By demonstrating that lymph node changes can predict whether triple-negative breast cancer will spread, we build on our growing knowledge of the important role that the immune response can play in understanding patient prognosis. ,” Grigoriadis said.
A woman is getting a mammogram. (Fox News)
The team plans to further test the model at centers across Europe.
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“The transition from evaluating tissue on glass slides under a microscope to using computers [National Health Service] is gathering momentum,” said Grigoriadis. “We want to leverage this change to develop AI-powered software based on our model to help treat this difficult-to-treat breast cancer. To benefit women.”
