1. The additional value of ultrasound markers in the diagnosis of polycystic ovary syndrome.
- Author
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van der Ham K, Barbagallo F, van Schilfgaarde E, Lujan ME, Laven JSE, and Louwers YV
- Subjects
- Humans, Female, Adult, Cross-Sectional Studies, Young Adult, Adolescent, Middle Aged, Body Mass Index, Predictive Value of Tests, Organ Size, Age Factors, Polycystic Ovary Syndrome diagnostic imaging, Ultrasonography, Ovarian Follicle diagnostic imaging, Ovarian Follicle pathology, Ovary diagnostic imaging, Ovary pathology
- Abstract
Objective: To study the value of current definitions for follicle number per ovary and ovarian volume in the diagnosis of polycystic ovary syndrome (PCOS)., Design: Cross-sectional study., Subjects: Women diagnosed with PCOS after standardized screening were eligible for inclusion in the PCOS group. Women without PCOS who underwent the same screening, had regular menstrual cycles, normal hormonal values, and no other endocrine pathology were eligible for inclusion., Exposure: Not applicable., Main Outcome Measure(s): Follicle number per ovary and ovarian volume in women with PCOS, stratified by age. Linear regression models to investigate the influence of body mass index (BMI) on follicle number per ovary and ovarian volume. Differences in follicle number per ovary and ovarian volume between the PCOS phenotypes and the additional value of ovarian volume compared with follicle number per ovary., Result(s): A total of 2,492 women (16-50 years) with PCOS and 152 women without PCOS were included. Most women with PCOS up to age of 35 exhibit a follicle number per ovary ≥20 (87.8%-100%) (using an ultrasound transducer ≥8 MHz) or ≥12 (95.1%-98.6%) (using a transducer <8 MHz), followed by a decline in follicle number per ovary >35 years. Median ovarian volume was below the 10 mL cutoff in every age group, for both ultrasound transducers. Follicle number per ovary and ovarian volume were higher in women with PCOS compared with women without PCOS in every age category. In our cohort, 13/2,297 women with PCOS (0.6%) would not have received the diagnosis if ovarian volume was not considered a marker for polycystic ovarian morphology. For both ultrasound transducers, women with phenotype A (ovulatory dysfunction + hyperandrogenism + polycystic ovarian morphology) exhibited the highest follicle number per ovary and ovarian volume, followed by phenotype D (ovulatory dysfunction + polycystic ovarian morphology), then phenotype C (hyperandrogenism + polycystic ovarian morphology), and then phenotype B (ovulatory dysfunction + hyperandrogenism). No clinically significant correlation between BMI and follicle number per ovary or ovarian volume was observed., Conclusion(s): Criteria to define follicle number per ovary should be established per age category, as follicle number per ovary decreases with age. Ovarian volume shows a less clear decline with age and has a lower discriminative power, and therefore could be excluded from the diagnostic criteria. Follicle number per ovary does not need to be stratified by BMI., Competing Interests: Declaration of Interests K.v.d.H. has nothing to disclose. F.B. has nothing to disclose. E.v.S. has nothing to disclose. M.E.L. has nothing to disclose. J.S.E.L. reports grants from Ansh Labs, Ferring, Roche Diagnostics, Merck, outside the submitted work; personal fees from Ferring, Titus Healthcare, Gedeon Richter, Ansh Labs, Roche Diagnostics; honoraria and travel expenses from Ferring and Roche Diagnostics; data safety monitoring board for LOCI Trail UK; an unpaid Board Member and President of the Androgen Excess and PCOS Society; and a member of the American Society for Reproductive Medicine Research Integrity Committee, outside the submitted work. Y.V.L. reports honoraria fees from Ferring and Merck; travel support from Ferring; and funding from Synergy Erasmus Medical Center grant, outside the submitted work., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2025
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