In a report published online in the journal Endocrinology, researchers at UC San Francisco write that they have identified patterns of genetic activity that can be used to diagnose endometriosis and its severity. The finding may offer millions of women an alternative to currently-used surgical investigation, through a simple noninvasive procedure for diagnosis.
Endometriosis, an often painful condition that occurs when tissue normally lining the inside of the uterus grows outside the uterus, is estimated to affect approximately 10% of reproductive age women. Frequently caused by retrograde menstruation, it can result in inflammation, scarring, and pain and may lead to infertility. The newly developed molecular diagnostic approach monitors gene expressions in the uterine lining, and enabled identification of the condition with an accuracy of 90% to 100%.
Read more about the findings here.