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[Polycystic ovaries: an imprecise ultrasonographic definition]

Y Ardaens1, Y Robert, D Dewailly

  • 1Service de radiologie ouest CHU, Lille.

Contraception, Fertilite, Sexualite (1992)
|June 1, 1995
PubMed

Insights

The study proposes a new terminology for ovarian follicle pathology, distinguishing microfollicular disease (anovulation) from macrofollicular disease (pelvic pain). This clarifies terminology for ovarian dysfunction and related conditions.

Area of Science:

  • Reproductive Endocrinology
  • Gynecology
  • Pathology

Background:

  • The term 'ovarian dystrophy' lacks a precise definition and is often misused.
  • Existing classifications do not adequately distinguish between different types of ovarian follicle pathology.

Purpose of the Study:

  • To propose a modern terminology for ovarian follicle pathology.
  • To differentiate between microfollicular and macrofollicular ovarian diseases.
  • To establish clear clinical correlates and etiological entities for each type.

Main Methods:

  • Review and analysis of existing literature on ovarian pathology.
  • Development of a new classification system based on follicle maturation and growth.
  • Correlation of pathological findings with clinical symptoms and etiological factors.

Main Results:

  • Two distinct types of ovarian follicle pathology are identified: microfollicular disease and macrofollicular disease.
  • Microfollicular disease is characterized by arrested maturation, leading to anovulation, and includes polycystic ovarian disease (PCO) and multifollicular ovaries (MFO).
  • Macrofollicular disease involves excessive follicle growth, causing pelvic pain, and includes macropolycystic ovaries, functional cysts, and LUF syndrome.

Conclusions:

  • The proposed terminology provides a clearer distinction between ovarian follicle pathologies.
  • This classification aids in understanding the clinical manifestations and etiological factors of ovarian dysfunction.
  • The new terminology encompasses the spectrum of functional ovarian pathology, improving diagnostic accuracy.

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