New Breast Cancer Screening Method Could Help Identify Individual Risk



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Using information gathered from several techniques, the researchers found that they could accurately predict the likelihood that bad cancer would be diagnosed in the next 10 years (Photo: PA)

A better method of screening for bad cancer may allow doctors to control women more or less often depending on the risk of developing the disease, suggest new research.

By gathering information on a range of techniques, experts have discovered that they can accurately predict a person's risk of bad cancer in the next 10 years.

Researchers say the method gives a "clearer picture" of the risk of bad cancer and means that screening could be "adapted" to specific individuals.

The study, conducted by the University of Manchester, was published in the journal Breast Cancer Research and Treatment.

In the United Kingdom, women are usually screened every three years between the ages of 50 and 70, but some of them are offered checks more frequently if they have a family history of bad cancer.

Research shows how bad cancer screening can be "adapted" to every woman (photo: PA)
Using a combination of techniques, one could better identify a woman's risk, suggests the study (Image: iStockphoto)

"The screening and prediction of bad cancer risk in a woman are largely based on standard risk factors, such as age, weight, family history and other characteristics," said Professor Gareth Evans, who led the study.

"This research shows that risk prediction is progressively improving because you combine these factors with information on bad density, as well as the common genetic variations that many of us are known to increase risk.

"This combined method gives women a much clearer idea of ​​their likelihood of developing bad cancer, possible treatments to reduce their risk, and, if so, their likelihood of responding to different treatments."

Researchers said the combined method gave women a "much clearer picture" of the likelihood of developing the disease and possible treatments (Photo: Getty Images)
It would also help identify specific risk levels in individuals (Photo: Shutterstock)

The risk of bad cancer is currently predicted with the help of the Tyrer-Cuzick model, which badyzes the factors likely to increase the probability of developing the disease.

But the experts found that the combination of this method with genetic testing and bad density measurements was effective in determining whether women were at low, medium, higher than average or moderate to high risk of developing the disease during pregnancy. of the next decade.

This information could help doctors to offer women at higher risk than average risk more regular screening, as well as preventive treatments such as drugs or surgery.

They could also reduce screening in low-risk groups, reducing overdiagnosis and overtreatment, the researchers said.

Screening frequency could be tailored to each woman rather than the current "one-size-fits-all" approach (Image: Getty Images)

Nikki Barraclough, Executive Director of the Prevent Breast Cancer charity, who funded the study, said, "The innovative research conducted by Professor Gareth Evans shows how bad cancer screening can be adapted to each woman and suggests that the frequency of screening could potentially be changed to match the risk of a person.

"This research allows us to move from a unique approach to an approach to more accurately predict the risk of bad cancer in a woman, based on various risk factors such as DNA, bad density, family history and bad cancer. lifestyle factors.

"The new findings from this study show that by using a combination of techniques, we can better understand a woman's risk, which could affect how we currently screen people.

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