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Follicle number, not assessments of the ovarian stroma, represents the best ultrasonographic marker of polycystic ovary syndrome.


ABSTRACT: To compare the diagnostic potential of ultrasonographic markers of ovarian morphology, used alone or in combination, to predict polycystic ovary syndrome (PCOS).A diagnostic test study using cross-sectional data collected from 2006-2011.Academic hospital and clinical research unit.Eighty-two women with PCOS and 60 healthy female volunteers.None.Follicle number per ovary (FNPO), ovarian volume (OV), follicle number per single cross-section (FNPS), follicle distribution pattern, stromal area, ovarian area, stromal-to-ovarian area ratio (S:A), and stromal index (SI).Follicle number per ovary best predicted PCOS (R(2) = 67%) with 85% sensitivity and 98% specificity, followed by OV (R(2) = 44%), and FNPS (R(2) = 36%). Neither S:A nor SI had predictive power for PCOS. In combination, FNPO+S:A and FNPO+SI most significantly predicted PCOS (R(2) = 74% vs. 73%, respectively). The diagnostic potentials of OV and FNPS were substantially improved when used in combination (OV+FNPO, R(2) = 55%).As a single metric, FNPO best predicted PCOS. Although the addition of S:A or SI improved the predictive power of FNPO, gains were marginal, suggesting limited use in clinical practice. When image quality precludes a reliable estimation of FNPO, measurements of OV+FNPS provide the next closest level of diagnostic potential.

SUBMITTER: Christ JP 

PROVIDER: S-EPMC4033910 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

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Follicle number, not assessments of the ovarian stroma, represents the best ultrasonographic marker of polycystic ovary syndrome.

Christ Jacob P JP   Willis Amy D AD   Brooks Eric D ED   Vanden Brink Heidi H   Jarrett Brittany Y BY   Pierson Roger A RA   Chizen Donna R DR   Lujan Marla E ME  

Fertility and sterility 20131101 1


<h4>Objective</h4>To compare the diagnostic potential of ultrasonographic markers of ovarian morphology, used alone or in combination, to predict polycystic ovary syndrome (PCOS).<h4>Design</h4>A diagnostic test study using cross-sectional data collected from 2006-2011.<h4>Setting</h4>Academic hospital and clinical research unit.<h4>Patient(s)</h4>Eighty-two women with PCOS and 60 healthy female volunteers.<h4>Intervention(s)</h4>None.<h4>Main outcome measure(s)</h4>Follicle number per ovary (FN  ...[more]

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