Validation of the follicular and ovarian thresholds by an 18-MHz ultrasound imaging in polycystic ovary syndrome: a pilot cutoff for North African patients

Background: Polycystic ovary syndrome (PCOS) is one of the most prevalent endocrinopathies among young women. Ultrasound evidence of polycystic ovaries is one of its crucial diagnostic criteria. Objectives: Our main objective is to study the contribution of ultrasound data in diagnosing PCOS. In add...

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Veröffentlicht in:Clinical medicine insights. Reproductive health 2024-01, Vol.18, p.26334941241270372
Hauptverfasser: Ach, Taieb, Guesmi, Ayoub, Kalboussi, Maha, Ben Abdessalem, Fatma, Mraihi, Emna, El Mhabrech, Houda
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Sprache:eng
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Zusammenfassung:Background: Polycystic ovary syndrome (PCOS) is one of the most prevalent endocrinopathies among young women. Ultrasound evidence of polycystic ovaries is one of its crucial diagnostic criteria. Objectives: Our main objective is to study the contribution of ultrasound data in diagnosing PCOS. In addition, we aim to establish a new cutoff point for the use of ultrasound and to determine its sensitivity as well as its specificity. Design: It was a prospective study, including all patients presenting with clinical hyperandrogenism. Methods: The ultrasound examination of these patients was performed using a novel ultrasound machine (18 MHz) compared to an older ultrasound machine (2 Hz–8 MHz). Inclusion criteria encompassed adult female patients over 18 years presenting symptoms suggestive of PCOS, particularly hyperandrogenism and oligo-anovulation, meeting Rotterdam’s diagnostic criteria. Prior to inclusion, assessments were conducted to eliminate other potential causes explaining hyperandrogenism or menstrual disorders in both groups. Results: We examined 92 patients diagnosed with PCOS. Menstrual disorders were the main symptoms, with amenorrhea being more frequent in the PCOS group (G1) (48.9% vs the control group (G2): 11.1%). The follicle number was significantly lower in the control group, as assessed by both ultrasound machines (p 
ISSN:2633-4941
2633-4941
1179-5581
DOI:10.1177/26334941241270372