(Natural News) Thousands of women each year subject themselves to painful and invasive surgeries to get rid of breast lesions which turn out to be benign, defeating the purpose of the surgeries in the first place. To avoid occurrences of these unnecessary surgeries, scientists are working on making current detection and diagnostic tools more effective and accurate.
A new study that was published in the online journal Radiology features a machine learning tool that can tell if a high-risk breast lesion can become cancerous, paving the way for the reduction of unnecessary surgeries.
Mammograms are still the best detection tool for finding out whether a woman has breast cancer. Lesions that are detected are then tested using a needle biopsy. If the biopsy is found to be abnormal, a patient will have to undergo surgery to remove the lesion.
At present, doctors opt to remove breast lesions even if they are not sure whether they can cause cancer or not, since the existence of breast lesions in a woman’s body is indicative of a greater risk of cancer development. With this new technology, patients can opt to be safely monitored instead of undergoing life-risking surgery, sparing them thousands of dollars and costs and a whole slew of health complications.
“There are different types of high-risk lesions. Most institutions recommend surgical excision for high-risk lesions such as atypical ductal hyperplasia, for which the risk of upgrade to cancer is about 20 percent. For other types of high-risk lesions, the risk of upgrade…Read More