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Polycystic Ovary Syndrome (PCOS)NCT03547453

Ovarian Ultrasonography for the Clinical Evaluation of Polycystic Ovary Syndrome

An observational study of Polycystic Ovary Syndrome (PCOS) and Menstrual Irregularity, run by Cornell University at 1 site in United States.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

The investigators would like to determine how aspects of adiposity and age influence ultrasound features of the ovaries which are used to diagnose polycystic ovarian syndrome (PCOS). The study will also compare anti-Müllerian hormone (AMH) levels against ultrasound features of the ovary to predict PCOS. Read more about this study

Who is it for?
Ages 18 years and older, women onlyHealthy volunteers can take part
How many people
240 participants
Where
1 siteUnited States
Study dates
4 Jun 2018to 31 Dec 2022
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • Women only
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: Women must be able to transport to the University of Rochester. Eligible participants are older than 18 years with a BMI of 18.5 kg/m2 or higher. Women are screened and enrolled following consent based on their response to our advertisements. Enrollment is restricted to the geographical area.

Who may be able to join

  • Aged >18 years
  • At least 2y post-menarche
  • BMI >18.5kg/m2
  • Good visibility of the ovaries on ultrasound
  • Pelvic exam with normal results within the last 2 years
  • Either:
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  • Regular menstrual cycles (21-35 days);
  • Irregular menstrual cycles (>36 days); or
  • Previous diagnosis of PCOS from a primary care provider

Who cannot join

  • Use of medication(s) known or suspected to interfere with reproductive function, metabolism, and/or appetite (e.g., oral contraceptives) within the past 3 months
  • Use of fertility medications in the past 2 months (e.g., Clomid)
  • Current use of a non-copper intrauterine device for contraception (e.g., Mirena)
  • Diagnosis of premature ovarian failure, endometriosis, or another disease/disorder (other than PCOS) known or suspected to interfere with reproductive function
  • History of ovarian surgery
  • Missing uterus or an ovary
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  • Pregnant or breastfeeding
  • Diagnosis of a bleeding disorder
  • Regular use of blood thinners/anticoagulants
  • Skin allergy/condition that might be aggravated by alcohol application
  • Currently being treated for a vaginal infection, cervical infection, sexually transmitted infection, or disease either with antibiotics, antifungals, or anti-viral medication
  • Abnormal vaginal discharge, pelvic pain, and/or blisters/lesions/warts/skin growths in the genital/anal area, which have not been examined by a medical professional.
  • Vaginal abnormality (e.g., vaginal atresia/hypoplasia, vaginal septation, Mullerian agenesis, vulvar/vaginal malignancy).
  • Not otherwise healthy

Trial locations and contacts

1 site in 1 country.

United States1 site
  • Strong Fertility Center

    Rochester, New York, 14623

Other trials in United States

About this study

The investigators would like to determine how aspects of adiposity and age influence ultrasound features of the ovaries which are used to diagnose polycystic ovarian syndrome (PCOS). The study will also compare anti-Müllerian hormone (AMH) levels against ultrasound features of the ovary to predict PCOS.

Read the detailed description

The purpose of this study is to develop ultrasound criteria for polycystic ovaries for women with PCOS across early, mid and late adulthood and to assess the impact of body composition on these ultrasound criteria.. The study will also compare ultrasound features of the ovary against or in combination with AMH (a hormonal biomarker) in predicting PCOS. This research will help improve the diagnosis of PCOS by considering multiple markers (i.e., ultrasound features and AMH levels) and multiple modifiers of those markers (i.e., age and adiposity).

As the name implies, the primary ultrasound feature used to diagnose PCOS is polycystic ovaries (PCO). However, PCO have frequently been observed in healthy women, calling into question the specificity of PCO to the condition of PCOS, as well as its ability to inform progression of the disease and/or response to treatment. The Lujan laboratory recently showed that the most widely accepted ultrasound criteria for PCO overlap with features of the normal ovary, and their laboratory proposed new thresholds to redefine PCO. These new criteria represented a significant change in the definition of PCO owing to the improved resolution of new technology. That said, these new criteria are still limited. They do not account for factors known or suspected to influence ovarian morphology. For example, follicle counts and ovarian size increase at puberty and decrease with age. Additional results from the Lujan laboratory showed that follicle number per ovary (FNPO) thresholds for women in later adulthood (35-38y) were substantially lower than those in early (18-25y) and mid-adulthood (26-34y). Furthermore, the new criteria for PCO do not account for a potential impact of adiposity on ovarian morphology. In the same study, conducted by the Lujan laboratory, overweight women exhibited more 6-9mm follicles than lean women, irrespective of androgen status.

Lastly, there is significant interest in determining whether AMH can serve as a surrogate to sonographic measures to define PCO. AMH is a peptide hormone produced by the granulosa cells of growing follicles and circulating levels represent secretions by antral follicles ≤8mm. Accordingly, serum AMH is increased in women with PCOS, reflecting the accumulation of 2-5mm antral follicles and greater production by granulosa cells of PCO compared to normal ovaries. Excess AMH is thought to inhibit follicle growth and selection. Unlike discrete aspects of ovarian morphology (i.e. follicle number or size),85 AMH levels remain largely constant throughout the normal menstrual cycle.Such stability may make AMH a more advantageous functional and surrogate morphological indicator of ovarian status compared to morphologic features. Further, some have argued that the variability in ultrasound assessments, and unsuitability of transvaginal approaches in certain clinical populations, justify the pursuit of a less onerous biomarker of PCO. However, there is significant bias across AMH assays and a consensual threshold for AMH to define PCO has not been determined. Proposed thresholds were hindered by heterogeneity in assay performance and in the clinical cohorts assessed. Ultimately, the ability of AMH to serve as a surrogate marker for PCO remains unknown and should be evaluated against sonographic measures in well-defined cohorts with improved assays. In this study, the researchers plan to refine the sonographic definition of PCO by establishing age-specific criteria that maintain sensitivity and specificity for PCOS in both lean and overweight populations. They will also clarify any ability of anti-Müllerian hormone (AMH) to better inform the diagnosis of PCOS.

To accomplish these objectives, the investigators plan to recruit 120 women with regular ovulatory cycles and 120 women with PCOS. Within each of these categories, the investigators plan to recruit 20 lean and 20 overweight women in each age group: 18-24y (early), 25-34y (mid), ≥35y (later adulthood). Ultrasound scans of the ovaries will be assessed for the total number, size, and distribution of follicles using both two- and three-dimensional imaging techniques. Additionally, participants will have blood samples collected to determine serum concentrations of AMH. Because features of the ovaries are expected to be different in lean and overweight women, the researchers hope to develop ultrasound criteria that will help healthcare providers to diagnosis specific ovulation problems in women across all body sizes and ages. This project addresses the need to improve methods and criteria used to define PCO across clinical populations.

Keywords
Menstrual cycles, Ultrasound, Ovary, Polycystic Ovary Syndrome (PCOS)
Medical subject headings
Polycystic Ovary Syndrome, Menstruation Disturbances, Overweight, Obesity

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

Study groups in NCT03547453
Study groupRoleWhat they receive
Regular Menstrual CyclesWomen will be assigned to this category if they report a history of regular menstrual cycles (every 21 to 35 days). Recruitment will be targeted to obtain 20 lean (BMI<25 kg/m2) and 20 overweight or obese (BMI>24.9kg/m2) women in each of the following age groups: 18-24y (early), 25-34y (mid), ≥35y (later adulthood).
Polycystic Ovarian SyndromeWomen will be assigned to this category if they have clinical or biochemical androgen excess and report a history of irregular menstrual cycles (<21 days or >35 days), including women with a pre-existing diagnosis of PCOS. Recruitment will be targeted to obtain 20 lean (BMI<25kg/m2) and 20 overweight or obese (BMI>24.9kg/m2) women in each of the following age groups: 18-24y (early), 25-34y (mid), ≥35y (later adulthood).

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Follicle number per ovary

    The number of follicles in each ovary will be assessed by ultrasonography

    Measured: 1 day

Secondary outcomes (12)
  1. Follicle number per cross section

    The number all follicles in a single cross sectional plane of each ovary will be assessed by ultrasonography

    Measured: 1 day

  2. Ovarian volume

    The size of each ovary will be determined by ultrasonography for each participant and compared across groups.

    Measured: 1 day

  3. Stromal echogenicity on ultrasound

    The brightness of the ovarian stroma in a single cross section will be determined by ultrasonography for each participant and compared across groups.

    Measured: 1 day

  4. Ovarian area-stromal area ratio

    The ratio of the stromal area to the total ovarian area of the ovary in a single cross section will be determined by ultrasonography for each participant and compared across groups.

    Measured: 1 day

  5. Follicle distribution pattern

    The follicle distribution pattern will be assessed by ultrasonography for each participant and compared across groups.

    Measured: 1 day

  6. Anti-Müllerian hormone

    Circulating AMH levels in the serum will be determined for each participant and compared across groups.

    Measured: 1 day

  7. LH-FSH ratio

    The ratio of circulating LH to FSH concentrations in the serum will be determined for each participant and compared across groups

    Measured: 1 day

  8. Hirsutism Score

    Degree of hirsutism as judged by the Ferriman-Gallwey scale will be determined and compared across groups

    Measured: 1 day

  9. Androgen concentrations

    Total testosterone, androstenedione and free androgen index concentrations in serum will be determined and compared across groups.

    Measured: 1 day

  10. Menstrual Cycle Length

    Average menstrual cycle length as determined by self-reported history will be determined and compared across groups

    Measured: 1 day

  11. Body mass index

    The ratio of weight to height will be determined and compared across groups.

    Measured: 1 day

  12. Waist-to-hip ratio

    The ratio of waist circumference to hip circumference will be determined and compared across groups.

    Measured: 1 day

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted6 Jun 2018
  2. Study start4 Jun 2018
  3. Primary completion31 Dec 2022
  4. Study completion31 Dec 2022

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Case-control
Time perspective
Cross-sectional
Enrolment
240 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT03547453
Sponsor's protocol ID
00070269
Status last verified
Feb 2023
First submitted
9 May 2018
Last updated
13 Feb 2023
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No

Publications

  • Evans AT, Rehani E, Smith B, Hong MD, Lewin Z, Hiroshige K, Spandorfer SD, Hajirasouliha I, Lujan ME, Hoeger KM. Diagnosis of Polycystic Ovary Syndrome With Predictive Modeling of Select Clinical Features. O G Open. 2026 Mar 19;3(2):e161. doi: 10.1097/og9.0000000000000161. eCollection 2026 Apr.

    PubMed 41868592

Questions about this trial

What is this clinical trial studying?

An observational study of Polycystic Ovary Syndrome (PCOS) and Menstrual Irregularity, run by Cornell University at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 9 inclusion and 14 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 13 Feb 2023. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Follicle number per ovary (time frame: 1 day). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT03547453, which also lists 1 linked publication.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 13 Feb 2023.

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