Correlation between Ovarian Volume and Polycystic Ovarian Syndrome using Ultrasound.
Date of Award
Master of Medicine (MMed)
Prof. Sudhir Vinayak
Prof. Zul Premji
Dr. Joyce Sande
Imaging and Diagnostic Radiology (East Africa)
Background: Polycystic ovarian syndrome (PCOS) is the most common endocrine abnormality in women of reproductive age with a prevalence of 5-10% in different populations. The prevalence of PCOM in patients with PCOS has been shown to be ≥ 90% in different populations. Diagnostic evaluation accounts for a relatively minor part of the total costs of providing care and evaluating women with PCOS. Hence more widespread and liberal screening for the disorder appears be a cost-effective strategy in susceptible patients. PCOM on ultrasound is diagnosed if one of the following is present in one or both of the ovaries; Ovarian volume of more than or equal to 10 cc, more than 12 ovarian follicles 2-9 mm in diameter. Ovarian volume on ultrasound is easy to measure and has good reproducibility compared to follicle number.
Primary Objective: To determine the correlation between ovarian volume as seen on ultrasound and polycystic ovarian syndrome.
Study design: Cross sectional study with retrospective collection of data at the Aga Khan University Hospital (AKUH), Nairobi Kenya.
Results: Data from 206 patients meeting the inclusion and exclusion criteria was analyzed. The point biserial correlation coefficient was 0.2561 (t statistic = 3.78, p = 0.0002). We further calculated the mean ovarian volume difference between the two groups which was -2.53 (95% CI -3.72 to – 1.34). Multivariable logistic regression model was run, ovarian volume was significantly associated with PCOS (p = 0.003), with the risk of PCOS increasing by 15% (AOR 1.15, 95% CI 1.05-1.26) for each unit increase in ovarian volume. Distribution of BMI in patient’s diagnosed with polycystic ovarian syndrome was as follows; 56.6% overweight, 34.5% normal BMI and 8.8% obese.
Conclusion: We have shown that transvaginal ultrasound has clinical utility in the prediction of PCOS. Our findings can be applied to the local general
Guandaru, N. M. (2017). Correlation between Ovarian Volume and Polycystic Ovarian Syndrome using Ultrasound. (Unpublished master's dissertation). Aga Khan University, East Africa.