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Accurate Follicle Enumeration in Adult Mouse Ovaries
Published on: October 16, 2020
The antral follicle count: practical recommendations for better standardization.
Frank J M Broekmans1, Dominique de Ziegler, Colin M Howles
1Department of Reproductive Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands.
Fertility and Sterility
|July 11, 2009
Summary
Standardized Antral Follicle Count (AFC) methods are recommended for predicting ovarian response in assisted reproductive technology. This ensures consistent data for clinical trials and practice, improving the reliability of ovarian reserve assessments.
Area of Science:
- Reproductive Endocrinology
- Medical Ultrasound
- Gynecology
Background:
- Antral Follicle Count (AFC) is crucial for predicting ovarian response in assisted reproductive technology (ART).
- Current methods for AFC assessment lack standardization, leading to variability in clinical practice and research.
- The precise nature of visualized follicles and oocyte competence remains unclear.
Purpose of the Study:
- To establish standardized recommendations for Antral Follicle Count (AFC) assessment.
- To address the variability in AFC measurement definitions and techniques.
- To improve the prediction of ovarian response in ART treatments.
Main Methods:
- A workshop convened specialists in reproductive medicine and scientists in December 2007.
- Literature review on ovarian antral follicle physiology and measurement.
- Discussion of clinical and technical considerations for AFC measurement, leading to an operational definition.
Main Results:
- Developed simple recommendations for standardizing AFC assessment in clinical practice.
- Agreed upon basic clinical and technical requirements for AFC evaluation.
- Proposed a systematic method for measuring and counting antral follicles.
Conclusions:
- Encourages the adoption of standardized AFC counting methods in clinical trials and practice.
- Advocates for systematic evaluation of these recommendations as standardized data emerge.
- Aims to enhance the reliability of ovarian response prediction in ART.
