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

OBJECTIVE: To 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 METHODS: This multicenter cross-sectional study included 200 women wit...

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Autores principales: Giménez-Peralta, Iván, Lilue, Mariela, Mendoza, Nicolás, Tesarik, Jan, Mazheika, Marina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478114/
https://www.ncbi.nlm.nih.gov/pubmed/36120462
http://dx.doi.org/10.3389/fendo.2022.915245
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author Giménez-Peralta, Iván
Lilue, Mariela
Mendoza, Nicolás
Tesarik, Jan
Mazheika, Marina
author_facet Giménez-Peralta, Iván
Lilue, Mariela
Mendoza, Nicolás
Tesarik, Jan
Mazheika, Marina
author_sort Giménez-Peralta, Iván
collection PubMed
description OBJECTIVE: To 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 METHODS: This 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-Müllerian hormone (AMH) level. RESULTS: The 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. CONCLUSION: The 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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spelling pubmed-94781142022-09-17 Application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome Giménez-Peralta, Iván Lilue, Mariela Mendoza, Nicolás Tesarik, Jan Mazheika, Marina Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: To 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 METHODS: This 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-Müllerian hormone (AMH) level. RESULTS: The 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. CONCLUSION: The 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. Frontiers Media S.A. 2022-09-02 /pmc/articles/PMC9478114/ /pubmed/36120462 http://dx.doi.org/10.3389/fendo.2022.915245 Text en Copyright © 2022 Giménez-Peralta, Lilue, Mendoza, Tesarik and Mazheika https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Giménez-Peralta, Iván
Lilue, Mariela
Mendoza, Nicolás
Tesarik, Jan
Mazheika, Marina
Application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome
title Application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome
title_full Application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome
title_fullStr Application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome
title_full_unstemmed Application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome
title_short Application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome
title_sort application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478114/
https://www.ncbi.nlm.nih.gov/pubmed/36120462
http://dx.doi.org/10.3389/fendo.2022.915245
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