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Abstract

BACKGROUND


Polycystic Ovarian Disease (PCOD) is an endocrine disorder affecting women of reproductive age, characterised by hyperandrogenism, ovulatory dysfunction, and PCOM (Polycystic Ovarian Morphology). It has a global prevalence of 4–10%. PCOD often presents during adolescence and is diagnosed using the Rotterdam criteria, which require at least two of the following: oligo/anovulation, clinical or biochemical hyperandrogenism, or PCOM on ultrasound.


 METHODS


This cross-sectional study involved 135 female patients clinically suspected of having PCOD, referred from the Department of Obstetrics and Gynaecology for pelvic ultrasonography. Inclusion criteria included clinical features such as oligomenorrhoea, infertility, hirsutism, and obesity. Pelvic ultrasound was performed to assess ovarian volume, follicle count and size, and stromal echogenicity. Hormonal profiles (LH, FSH, LH/FSH ratio) were also evaluated.


 RESULTS


The majority of participants (70.4%) were aged 18–25 years. Menstrual irregularities were reported in 88.8% of cases, subfertility in 42%, hirsutism in 35.5%, and obesity in 3.7%. Ovarian volume >10 cc was seen in 85.9% of participants. Follicle count >20 per ovary was observed in 88.8%, and 90.3% had follicles measuring 2–9 mm. Elevated LH levels were seen in 89.47% of patients with an ovarian volume >10 cc. A borderline significant association was found between ovarian volume and FSH levels.


 CONCLUSIONS


While many patients were overweight or pre-obese, lean PCOD cases were also noted. Key ultrasound features, such as increased ovarian volume and peripheral follicle arrangement, showed strong correlations with hormonal imbalances, supporting the need for integrated and personalised approaches to diagnosis and management.

Keywords

Polycystic Ovarian Syndrome (PCOD), Ultrasound, Hormonal Parameters.

Article Details

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How to Cite
Snehpreet, Arvinder Singh, Kunwarpal Singh, & Manjeet Kaur. (2026). Correlation of Ultrasonographic Ovarian Parameters and Hormonal Parameters in Polycystic Ovarian Disease. Journal of Evolution of Medical and Dental Sciences, 15(2), 43–47. https://doi.org/10.14260/jemds.v15i2.836
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References

  1. Ganie MA, Vasudevan V, Wani IA, et al. Epidemiology, pathogenesis, genetics & management of polycystic ovary syndrome in India. Indian J Med Res 2019;150(4):333-44.
  2. El Hayek S, Bitar L, Hamdar LH, et al. Polycystic ovarian syndrome: an updated overview. Front Physiol 2016;7:1-15.
  3. Balen AH, Laven JS, Tan SL, et al. Ultrasound assessment of the polycystic ovary: international consensus definitions. Hum Reprod Update 2003;9(6):505-14.
  4. Fulghesu AM, Ciampelli M, Belosi C, et al. A new ultrasound criterion for the diagnosis of polycystic syndrome: the ovarian stroma/total area ratio. Fertil Steril 2001;76(2):326-31.
  5. Rosenfield RL, Barnes RB, José FC, et al. Dysregulation of cytochrome P450c17α as the cause of polycystic ovarian syndrome. Fertil Steril 1990;53(5):785-91.
  6. McNatty KP, Makris A, DeGrazia C, et al. The production of progesterone, androgens, and estrogens by granulosa cells, thecal tissue, and stromal tissue from human ovaries in vitro. J Clin Endocrinol Metab 1979;49(5):687-99.
  7. Judd HL. Endocrinology of polycystic ovarian disease. Clin Obstet Gynecol 1978;21(1):99-114.
  8. Battaglia C, Regnani G, Petraglia F, et al. Polycystic ovary syndrome: is it always bilateral? Ultrasound Obstet Gynecol 1999;14(3):183–7.
  9. Wild RA. Obesity, lipids, cardiovascular risk, and androgen excess. Am J Med 1995;98(1): S27-32.
  10. Ehrmann DA, Barnes RB, Rosenfield RL, et al. Prevalence of impaired glucose tolerance and diabetes in women with polycystic ovary syndrome. Diabetes Care 1999;22(1):141–6.
  11. Nestler JE, Stovall D, Akhter N, et al. Strategies for the use of insulin-sensitizing drugs to treat infertility in women with polycystic ovary syndrome. Fertil Steril 2002;77(2):209-15.
  12. Begum HR, Reddy KA, Kaleemullah M. Polycystic ovarian syndrome: a hormonal and radiological correlation. Int J Contemp Med Surg Radiol 2018;3(4):D1-5.
  13. Smitha CC, Sailakshmi MO, Nagaratnamma R. Prevalence of impaired glucose tolerance and diabetes mellitus in women with polycystic ovarian syndrome. J Med Sci 2017;3(4):116-8.
  14. Hann LE, Hall DA, McArdle CR, et al. Polycystic ovarian disease: sonographic spectrum. Radiology 1984;150(2):531-4.
  15. Allemand MC, Tummon IS, Phy JL, et al. Diagnosis of polycystic ovaries by three-dimensional transvaginal ultrasound. Fertil Steril 2006;85(1):214-9.
  16. Shah B, Parnell L, Milla S, et al. Endometrial thickness, uterine, and ovarian ultrasonographic features in adolescents with polycystic ovarian syndrome. J Pediatr Adolesc Gynecol 2010;23(3):146-52.
  17. Alakananda D, Prasad Das B, Goel I. A study on clinical profile of patients with polycystic ovarian syndrome. Int J Sci Res 2017;6(10):1211-6.
  18. Udofia TA, Jinadu FO, Ottun AT, et al. Clinical and sonographic features in infertile women with and without polycystic ovarian syndrome. Int J Reprod Contracept Obstet Gynecol 2021;10(6):2437-43.
  19. Bozkurt M, Kara Bozkurt D, Kurban D, et al. 2-D and 3-D ultrasonographic characteristics of the ovary in women with PCOD and multifollicular ovaries. J Obstet Gynaecol 2021;41(6):920-6.
  20. Robinson S, Rodin DA, Deacon A, et al. Which hormone tests for the diagnosis of polycystic ovary syndrome? Br J Obstet Gynaecol 1992;99(5):355-62.