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Value of ultrasonography parameters in diagnosing polycystic ovary syndrome
Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women of reproductive age associated with hyperandrogenism, oligo-amenorrhea, and infertility. Symptoms and their severity vary among the individuals. If the manifestation is mild, PCOS may remain undiagnosed. In more severe cases, it...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210988/ https://www.ncbi.nlm.nih.gov/pubmed/35799603 http://dx.doi.org/10.1515/med-2022-0505 |
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author | Gyliene, Augustina Straksyte, Vestina Zaboriene, Inga |
author_facet | Gyliene, Augustina Straksyte, Vestina Zaboriene, Inga |
author_sort | Gyliene, Augustina |
collection | PubMed |
description | Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women of reproductive age associated with hyperandrogenism, oligo-amenorrhea, and infertility. Symptoms and their severity vary among the individuals. If the manifestation is mild, PCOS may remain undiagnosed. In more severe cases, it results in a spectrum of symptoms of metabolic syndrome, insulin resistance, and cardiovascular diseases. The diagnosis is established after a physical examination and evaluating the patient’s hormonal profile. In addition to these required methods, ultrasonographic assessment of the patient’s ovaries is another non-invasive, cheap, and time-saving tool, making the examination more profound and leading to the correct diagnosis. Specific ultrasonographic parameters are used to tell the healthy and polycystic ovaries apart: the ovarian volume (OV), ovarian follicle count, follicle distribution pattern, ovarian stromal echogenicity, and the resistance and pulsatility indices assessed using the Doppler function. This review evaluated the selected articles and ascertained the ultrasonographic parameters that accurately predict PCOS. This systematic review showed that the most valuable ultrasonographic parameters in diagnosing PCOS are the OV and follicle number per ovary. |
format | Online Article Text |
id | pubmed-9210988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-92109882022-07-06 Value of ultrasonography parameters in diagnosing polycystic ovary syndrome Gyliene, Augustina Straksyte, Vestina Zaboriene, Inga Open Med (Wars) Research Article Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women of reproductive age associated with hyperandrogenism, oligo-amenorrhea, and infertility. Symptoms and their severity vary among the individuals. If the manifestation is mild, PCOS may remain undiagnosed. In more severe cases, it results in a spectrum of symptoms of metabolic syndrome, insulin resistance, and cardiovascular diseases. The diagnosis is established after a physical examination and evaluating the patient’s hormonal profile. In addition to these required methods, ultrasonographic assessment of the patient’s ovaries is another non-invasive, cheap, and time-saving tool, making the examination more profound and leading to the correct diagnosis. Specific ultrasonographic parameters are used to tell the healthy and polycystic ovaries apart: the ovarian volume (OV), ovarian follicle count, follicle distribution pattern, ovarian stromal echogenicity, and the resistance and pulsatility indices assessed using the Doppler function. This review evaluated the selected articles and ascertained the ultrasonographic parameters that accurately predict PCOS. This systematic review showed that the most valuable ultrasonographic parameters in diagnosing PCOS are the OV and follicle number per ovary. De Gruyter 2022-06-20 /pmc/articles/PMC9210988/ /pubmed/35799603 http://dx.doi.org/10.1515/med-2022-0505 Text en © 2022 Augustina Gyliene et al., published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Article Gyliene, Augustina Straksyte, Vestina Zaboriene, Inga Value of ultrasonography parameters in diagnosing polycystic ovary syndrome |
title | Value of ultrasonography parameters in diagnosing polycystic ovary syndrome |
title_full | Value of ultrasonography parameters in diagnosing polycystic ovary syndrome |
title_fullStr | Value of ultrasonography parameters in diagnosing polycystic ovary syndrome |
title_full_unstemmed | Value of ultrasonography parameters in diagnosing polycystic ovary syndrome |
title_short | Value of ultrasonography parameters in diagnosing polycystic ovary syndrome |
title_sort | value of ultrasonography parameters in diagnosing polycystic ovary syndrome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210988/ https://www.ncbi.nlm.nih.gov/pubmed/35799603 http://dx.doi.org/10.1515/med-2022-0505 |
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