According to the American Cancer Society, a noninvasive breast cancer called ductal carcinoma in situ (DCIS) accounts for approximately one of every four new breast cancer cases in the United States. If left untreated, DCIS has the potential to evolve into invasive cancer, so many patients choose to have breast-conserving surgery or mastectomy after a diagnosis.
A new, machine-learning based approach could help doctors to separate aggressive stage 0 breast cancer from non-aggressive forms, sparing some women unnecessary mastectomies.
Angela used her experience with breast cancer treatment at Beaumont to help her family, friends and surgeons see the benefits of infusing treatment with humor.
Rutgers Cancer Institute of New Jersey investigators evaluated all treatment strategies for both standard-risk and good-risk ductal carcinoma in-situ and found the most commonly recommended combination treatment for DCIS represents low-value care, while radiation therapy alone was cost-effective.