Algorithms Used in Ovarian Cancer Detection: A Minireview on Current and Future Applications

Ovarian cancer is the fifth most common cause of cancer death among women in the U.S. The high rate of mortality for ovarian cancer is multifactorial, but it is estimated that more than 60% of cases have already metastasized at the time of diagnosis. Despite more invasive surgical treatments and targeted chemotherapies, ovarian cancer survival rates have remained similar over time. “Algorithms Used in Ovarian Cancer Detection: A Minireview on Current and Future Applications” was published in the September 2018 issue of the Journal of Applied Laboratory Medicine. The review outlined some of the challenges associated with the diagnosis of ovarian cancer and highlights how our understanding of the biology of ovarian cancer has changed.