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Diagnosis of Folliculo-Luteal Function

  • György Siklósi
Chapter

Abstract

In human reproduction, not only the role but even the existence of hormonal insufficiency of ovulatory cycles is questioned. Therefore, we have endeavoured to develop a diagnostic method that is suitable for quantitatively investigating ovulatory cycles. As the activity of the corpus luteum is the result of every preceding event in the cycle, investigating luteal function seems an appropriate way to quantitatively describe the complete cycle.

Due to the individual variability in the hormonal levels of eumenorrheic, fertile women’s cycles, when we determined hormonal parameters of physiological luteal function, a cycle was considered unquestionably physiological if conception took place and was followed by birth. The level of progesterone (P) exhibited a 6-day plateau between the 4th and 9th day after ovulation in these cycles. In physiological cycles without conception, the serum P level also had a 6-day plateau between the 4th and 9th day before menstruation. As the P plateau value is proportional to the total luteal P secretion, it appears suitable for quantitative measurement of luteal function.

To reduce diagnostic errors originating from the markedly episodic secretion and the day-to-day variation of P (±49.7 %, 95 % CI), we described luteal function by the average of three P values obtained every other day during the P plateau. This reduced the deviation of P value from the average to nearly a third of this value (±17.8 %, 95 % CI).

P values measured during the luteal phase of pregnancies resulting in a singular, mature and eutrophic newborn can be considered physiological in the aspect of reproduction. In such cycles, the luteal average of P is 29.2 ± 3.1 ng/ml (physiological minimum 23.0 ng/ml) and the luteal average of E2 is 420 pg/ml (physiological minimum 350 pg/ml).

Keywords

Granulosa Cell Luteal Phase Corpus Luteum Clomiphene Citrate Endometrial Thickness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • György Siklósi
    • 1
  1. 1.Semmelweis University Second Department of Obstetrics and GynecologyBudapestHungary

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