Polycystic Ovarian Syndrome: A Hormonal and Radiological Correlation
Journal Title: International Journal of Contemporary Medicine surgery and Radiology - Year 2018, Vol 3, Issue 4
Abstract
Introduction: Polycystic ovarian syndrome (POD) is a complex endocrine disorder of unknown etiology also called Stein- Leventhal syndrome. It is characterized by multiple small ovarian cysts. These cysts are thought to represent graafian follicles that persist in arrested stages of development because of low levels of FSH. PCOS is commonly associated with insulin resistance, hyperinsulinemia, components of the Metabolic Syndrome and oligo or anovulatory cycles. The objective of this study was to identify the sonological features of ovaries and to correlate with clinical and biochemical profile of the patients with PCOS. Material and Methods: Ultrasonography was performed in the patients clinically suspected of having polycystic ovarian syndrome and their biochemical indices were determined. Previously established cases of polycystic ovarian syndrome on treatment and patients with any other known health problems were excluded. Results: Among 102 patients with clinical features of polycystic ovarian syndrome 87% were under 25 years and 81.60% were unmarried. Oligomenorrhea was the main complaint in all the subjects and overweight in 45%. Ultrasonography identified 2-9 mm follicles in 77.45%. Ovarian volume was ≥ 10cc in 57.84% of the patients. FSH levels were low in 87.25% of cases. LH levels were raised in 89.21% and in 78.43% testosterone levels were high. FSH, LH levels showed significant and positive correlation with follicle number, follicle size. Testosterone also showed significant and positive correlation with follicle number. Conclusion: The sonological ovarian features in patients with clinical suspicion of polycystic ovarian syndrome correlated well with clinical and biochemical indices in statistically significant number
Authors and Affiliations
Haque Riyajul Aqbalul Nazma Begum, K Ashoka Reddy, Md. Kaleemullah
Keywords
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- EP ID EP472407
- DOI 10.21276/ijcmsr.2018.3.4.1
- Views 124
- Downloads 0
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