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.
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
- Conditions the study is for
- Polycystic Ovary Syndrome (PCOS), Menstrual Irregularity, Overweight and Obesity
- 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:
Show all 9Show fewer
- 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
Show all 14Show fewer
- 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.
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 group | Role | What they receive |
|---|---|---|
| Regular Menstrual Cycles | Women 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 Syndrome | Women 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.
Follicle number per ovary
The number of follicles in each ovary will be assessed by ultrasonography
Measured: 1 day
Secondary outcomes (12)
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
Ovarian volume
The size of each ovary will be determined by ultrasonography for each participant and compared across groups.
Measured: 1 day
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
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
Follicle distribution pattern
The follicle distribution pattern will be assessed by ultrasonography for each participant and compared across groups.
Measured: 1 day
Anti-Müllerian hormone
Circulating AMH levels in the serum will be determined for each participant and compared across groups.
Measured: 1 day
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
Hirsutism Score
Degree of hirsutism as judged by the Ferriman-Gallwey scale will be determined and compared across groups
Measured: 1 day
Androgen concentrations
Total testosterone, androstenedione and free androgen index concentrations in serum will be determined and compared across groups.
Measured: 1 day
Menstrual Cycle Length
Average menstrual cycle length as determined by self-reported history will be determined and compared across groups
Measured: 1 day
Body mass index
The ratio of weight to height will be determined and compared across groups.
Measured: 1 day
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.
- First posted6 Jun 2018
- Study start4 Jun 2018
- Primary completion31 Dec 2022
- Study completion31 Dec 2022
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Polycystic Ovary Syndrome (PCOS)Studies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
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)
Sponsor and investigators
- Lead sponsor
- Cornell University
- Sponsor type
- University, hospital or other
- Collaborators
- University of Rochester
- Responsible party
- Sponsor
- Investigators
- Marla E. Lujan, PhD, Principal investigator, Cornell UniversityKathleen Hoeger, MD, Principal investigator, University of Rochester
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
Study at a glance
From the registry record, last updated by the sponsor on 13 Feb 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Ovarian Ultrasonography for the Clinical Evaluation of Polycystic Ovary Syndrome
- ClinicalTrials.gov ID
- NCT03547453
- Acronym / sponsor ID
- 00070269
- Keywords
- Menstrual cycles, Ultrasound, Ovary, Polycystic Ovary Syndrome (PCOS)
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 240 participants (actual)
- Lead sponsor
- Cornell UniversityUniversity, hospital or other
- Collaborators
- University of Rochester
- Study start
- 4 Jun 2018 (actual)
- Primary completion
- 31 Dec 2022 (actual)
- Study completion
- 31 Dec 2022 (actual)
- First posted
- 6 Jun 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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.
Study design
- Observational model
- Case-control
- Time perspective
- Cross-sectional
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Regular Menstrual Cycles | – | –Women 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 Syndrome | – | –Women 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). |
Who may qualify
- Ages
- 18 years and older
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- 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.
Key inclusion criteria (9 listed)
- 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
Key exclusion criteria (14 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Follicle number per ovary
Time frame: 1 day
The number of follicles in each ovary will be assessed by ultrasonography
12 secondary outcomes
Follicle number per cross section
Time frame: 1 day
Ovarian volume
Time frame: 1 day
Stromal echogenicity on ultrasound
Time frame: 1 day
Ovarian area-stromal area ratio
Time frame: 1 day
Follicle distribution pattern
Time frame: 1 day
Anti-Müllerian hormone
Time frame: 1 day
LH-FSH ratio
Time frame: 1 day
Hirsutism Score
Time frame: 1 day
Androgen concentrations
Time frame: 1 day
Menstrual Cycle Length
Time frame: 1 day
Body mass index
Time frame: 1 day
Waist-to-hip ratio
Time frame: 1 day
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 13 Feb 2023.
- Derived from this study: PubMed 41868592Evans 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Marla E. Lujan, PhD principal investigator
Cornell University
Kathleen Hoeger, MD principal investigator
University of Rochester
1 site in 1 country: see every site and its status.
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.