Ovarian follicle count by magnetic resonance imaging is greater in adolescents and young adults with polycystic ovary syndrome than in controls.

Adolescents PCOS ovarian MRI ovarian follicle count ovarian volume

Journal

F&S reports
ISSN: 2666-3341
Titre abrégé: F S Rep
Pays: United States
ID NLM: 101766618

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 14 09 2021
revised: 27 01 2022
accepted: 28 01 2022
entrez: 5 7 2022
pubmed: 6 7 2022
medline: 6 7 2022
Statut: epublish

Résumé

To use magnetic resonance imaging (MRI) to quantify the follicle number per ovary (FNPO) using biplanar measurements and determine the ovarian volume (OV) using three-dimensional measurements in adolescents and young adults with polycystic ovary syndrome (PCOS) and controls and compare the differences between these groups; to examine the relationships between FNPO and OV and metabolic markers associated with PCOS; to compare OV obtained by use of MRI and ultrasound between young patients with PCOS and controls. Cross-sectional study. Outpatient within a major medical center in New York City. Adolescent girls and young women aged 13-25 years with PCOS (n = 16) and body mass index-, age-, and ethnicity-comparable control subjects (n = 15). None. The OV and FNPO by use of MRI, OV by use of transabdominal pelvic ultrasound, anthropometric measurements, and biochemical and hormonal evaluation. The FNPO was higher in participants with PCOS (23.7 ± 4.6 follicles) than in controls (15.2 ± 4 follicles) when adjusted for menstrual age. The OV by use of ultrasound was higher in participants with PCOS (11.7 ± 5.6 mL) than in controls (8.1 ± 3.4 mL); however, OV by use of MRI did not differ between the groups. The OV by use of MRI and ultrasound correlated in participants with PCOS ( Our results are in line with prior studies showing that FNPO may be a more sensitive measure of polycystic ovary morphology than OV. The results of this study support the use of ovarian

Identifiants

pubmed: 35789714
doi: 10.1016/j.xfre.2022.01.008
pii: S2666-3341(22)00009-5
pmc: PMC9250127
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102-109

Subventions

Organisme : NIDDK NIH HHS
ID : T32 DK065522
Pays : United States

Informations de copyright

© 2022 The Authors.

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Auteurs

Camila Freitas Pereira-Eshraghi (CF)

Division of Endocrinology, Diabetes and Metabolism, Department of Pediatrics, Columbia University Irving Medical Center, New York, New York.

Rachel Tao (R)

Division of Endocrinology, Diabetes and Metabolism, Department of Pediatrics, Columbia University Irving Medical Center, New York, New York.

Codruta C Chiuzan (CC)

Department of Biostatistics, Columbia University Irving Medical Center, New York, New York.

Yuan Zhang (Y)

Department of Biostatistics, Columbia University Irving Medical Center, New York, New York.

Wei Shen (W)

Department of Pediatrics and Nutrition, New York Obesity Center, Columbia University Irving Medical Center, New York, New York.

Jodi P Lerner (JP)

Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York.

Sharon E Oberfield (SE)

Division of Endocrinology, Diabetes and Metabolism, Department of Pediatrics, Columbia University Irving Medical Center, New York, New York.

Aviva B Sopher (AB)

Division of Endocrinology, Diabetes and Metabolism, Department of Pediatrics, Columbia University Irving Medical Center, New York, New York.

Classifications MeSH