A new tool combining traditional pathology with machine learning could predict which breast cancer patients actually need surgery. The technology, reported in the November issue of American Journal of Physiology — Cell Physiology (vol. 319: C910-C921; https:/
Ductal carcinoma in situ (DCIS) of the breast, an early form of disease also known as stage 0 breast cancer, is a diagnosis that only sometimes leads to invasive breast cancer. But only some patients need surgery, chemotherapy and/or radiotherapy, and the rest could be sent home. Predicting the outcomes of patients with early forms of cancer has been a major scientific problem for decades.
Professor Howard Petty and Ms. Alexandra Kraft, his research assistant, both of the University of Michigan, have just