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Predicting optimal cervical mucus for infertility diagnosis

S G Oei¹, F M Helmerhorst, K W Bloemenkamp

¹Department of Obstetrics and Gynaecology, St. Joseph Hospital, Veldhoven, The Netherlands.

European Journal of Obstetrics, Gynecology, and Reproductive Biology

|May 1, 1997

Summary

Predicting fertile cervical mucus is possible one day in advance. Combining ultrasound follicular measurements and serum estradiol levels accurately forecasts optimal mucus for fertility monitoring.

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Area of Science:

Reproductive endocrinology
Gynecology
Fertility science

Background:

Cervical mucus quality is a key indicator of female fertility.
Accurate prediction of optimal cervical mucus aids in timing conception.
Current fertility monitoring methods have limitations in predictive accuracy.

Purpose of the Study:

To identify monitoring techniques for predicting optimal cervical mucus one day in advance.
To correlate cervical mucus evaluations with daily fertility examinations.
To enhance the precision of fertility window prediction.

Main Methods:

Serial measurements of serum estradiol, progesterone, luteinizing hormone (LH), and follicle-stimulating hormone (FSH).
Urinary LH monitoring and transvaginal ultrasound for endometrial thickness and follicle assessment.

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Correlation of hormonal and ultrasound data with daily cervical mucus scores in 23 healthy women.

Main Results:

Optimal cervical mucus was observed in all ovulatory cycles, though often for a single day.
Echographic measurement of leading follicles (>= 18 mm) predicted optimal mucus in 78% of cases.
Serum estradiol (> 700 pmol/l) predicted optimal mucus in 83% of cases.
Combined estradiol and follicular diameter measurements achieved 100% prediction accuracy one day prior.

Conclusions:

Serial measurements of serum estradiol and follicular diameters effectively predict optimal cervical mucus.
This combined approach allows for a one-day advance prediction of the fertile window.
Improved prediction of optimal mucus enhances natural family planning and assisted reproductive technologies.