Dense breast fabric and tumors seem similar in scans, which can make identification difficult
Gorodenkoff/Shuttersock
If you have a dense breast fabric, it could be an additional round of cancer detection, according to a great trial that found this trapped tumors that were lost in standard mammograms.
The United Kingdom’s health services offer mammograms, a form of X -ray exploration, between the ages of 50 and 71 to detect breast cancer. These look for white growths that are indicative of cancer. But approximately half of women in this age group have dense breasts, which means that they have a high proportion of fibrous and glandular tissue, which also appears as white in the scan. This can make tumors more difficult to detect in thesis individuals.
“The problem with dense breasts is that we see late cans, then they are too big and this leads to an unfavorable forecast,” says Thomas Helbich of the University of Medicine of Vienna, which was involved in the trial.
To see if the additional detection could be able to tear this, Sarah Vinnicombe at the University of Duendee, the United Kingdom, and their colleagues recruited more than 6000 women ALD 50 to 70 from all over the United Kingdom who had the dense and whose clear mammograms. The researchers randomly divided the participants into three groups that received additional detection in the form of a magnetic resonance, an ultrasound or an advanced X -ray exploration called improved mammography with contrast.
The additional detection collectively detected 85 small tumors, with magnetic resonance and improved mammography with contrast detecting three times more tumors than ultrasound. Twelve of these tumors were contained within the milk ducts and, therefore, it was unlikely to spread beyond the breast. But the 73 removable tumors were invasive, when the cancer cells have grown through the coating of the ducts to the surrounding breast tissue and then a greater potential to spread even more.
“It is very important to find thesis cans; they are generally growing and if you detect them three, four years later, they will be larger,” says Helbich. “As some will be aggressive, I am quite sure that supplementary detection would save lives.”
But we don’t know if this would be the case. For example, a 2021 ovarian cancer detection trial led to a reduced incidence of condition, but did not translate into lives that were saved. It is also possible that some of the tumors detected are not channels or do not spread. If this is the case, supplementary detection could lead to unnecessary concern or treatment.
The team plans to continue tracking participants to help measure whether additional detection helps save lives and if that could justify the cost of implementing it, Sayes Vinnicombe.
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