Prediction of polycystic ovarian syndrome based on ultrasound findings and clinical parameters

ABSTRACT Objective To determine the accuracy of sonographic‐diagnosed polycystic ovaries and clinical parameters in predicting polycystic ovarian syndrome. Methods Medical records and ultrasounds of 151 women with sonographically diagnosed polycystic ovaries were reviewed. Sonographic criteria for polycystic ovaries were based on 2003 Rotterdam European Society of Human Reproduction and Embryology/American Society for Reproductive Medicine guidelines: at least one ovary with 12 or more follicles measuring 2–9 mm and/or increased ovarian volume >10 cm3. Clinical variables of age, gravidity, ethnicity, body mass index, and sonographic indication were collected. One hundred thirty‐five patients had final outcomes (presence/absence of polycystic ovarian syndrome). Polycystic ovarian syndrome was diagnosed if a patient had at least one other of the following two criteria: oligo/chronic anovulation and/or clinical/biochemical hyperandrogenism. A logistic regression model was constructed using stepwise selection to identify variables significantly associated with polycystic ovarian syndrome (p 33 were significant in predicting polycystic ovarian syndrome (receiver operating characteristics curve, c = 0.86). Pain decreased the likelihood of polycystic ovarian syndrome. Conclusions Polycystic ovaries on ultrasound were sensitive in predicting polycystic ovarian syndrome. Ultrasound, combined with clinical parameters, can be used to generate a predictive index for polycystic ovarian syndrome. © 2014 Wiley Periodicals, Inc. J Clin Ultrasound 43:157–163, 2015;