4.7 Article

Application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome

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FRONTIERS IN ENDOCRINOLOGY
卷 13, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fendo.2022.915245

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pcos; ultrasound follicular count; hyperandrogenism; insulin resistance; infertility

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This study found that using the ultrasound criterion of 23 or more follicles of any size can replace the classic Rotterdam criterion and accurately diagnose and determine the risk of metabolic-endocrine changes in women with polycystic ovary syndrome (PCOS).
ObjectiveTo define which ultrasound criteria could replace the classic Rotterdam criteria as the best indicator of the risk of developing endocrine-metabolic changes in women with polycystic ovary syndrome (PCOS). Materials and methodsThis multicenter cross-sectional study included 200 women with PCOS and one control group of 111 women without PCOS. The primary outcomes to be considered were follicular count, hirsutism, total testosterone levels, free androgen index (FAI), and insulin sensitivity (HOMA-IR), and the secondary outcome was the anti-Mullerian hormone (AMH) level. ResultsThe main finding in this study points toward a different ultrasound criterion-23 or more follicles of any size in at least one ovary, which is postulated as an alternative to the classic criterion described in the Rotterdam consensus. This criterion correlates better with the other two PCOS criteria and also identifies women at increased risk of hirsutism (Ferriman-Gallwey score: 6.08 +/- 3.54 vs. 4.44 +/- 3.75, p < 0.0001), total testosterone levels (2.24 +/- 0.298 vs. 1.42 +/- 1.530, p = 0.0001), FAI (4.85 +/- 0.83 vs. 2.12 +/- 1.93, p < 0.001), and insulin resistance (HOMA-IR: 1.74 +/- 0.182 vs. 1.504 +/- 0.230, p = 0.001) more accurately. Regarding AMH, large differences in their mean values were observed between the groups (7.07 vs. 4.846 ng/ml, p = 0.000). However, these differences depended on age. ConclusionThe ovarian ultrasound examination with 23 or more follicles of any size in any of the ovaries constitutes a powerful tool to accurately diagnose PCOS and to associate it with metabolic-endocrine processes such as hyperandrogenism and insulin resistance.

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