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RecruitingNCT07916909Updated Nov 4, 2026

The Value of LC-MS/MS Detection of Androgen Profiles in the Diagnosis of PCOS: A Prospective, Multicenter Real-world Study

An observational study in Polycystic Ovary Syndrome (PCOS), sponsored by Women's Hospital School Of Medicine Zhejiang University. Recruiting at 1 site in China. Open to female participants aged 18 Years to 40 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-11-04.

Sponsored by Women's Hospital School Of Medicine Zhejiang University · Observational

From the registry’s dates

  • Started Jul 2026; still recruiting 4 months later.
Updated Nov 4, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
1,500
Ages
18 Years to 40 Years
Sex
Female
01

Study summary

Introduction : Androgens play a vital role in the female reproductive system, influencing ovarian follicular development, oocyte quality, and ovarian responsiveness to controlled ovarian stimulation. The main circulating androgens include dehydroepiandrosterone sulfate (DHEA-S), dehydroepiandrosterone (DHEA), androstenedione (AD), testosterone (T), and dihydrotestosterone (DHT). Studies have shown that androgens promote early follicular growth by regulating follicle-stimulating hormone (FSH) receptor expression and the intrafollicular microenvironment; however, excessive levels may interfere with follicular maturation and ovulation, leading to ovarian dysfunction. Total testosterone (TT) represents the sum of bound and free circulating testosterone. The majority of circulating testosterone is tightly bound to sex hormone-binding globulin (SHBG) or loosely bound to albumin (ALB), α-globulins, and corticosteroid-binding globulin, with only 1-4% existing as free testosterone (FT). Only free testosterone can enter cells and exert biological effects. Because SHBG concentrations are readily influenced by sex, age, body weight, metabolic syndrome, SHBG gene polymorphisms, and certain medications, whereas FT is unaffected by SHBG, FT is considered an ideal marker for assessing bioactive testosterone status. Free testosterone, as the most biologically active androgen form, is closely correlated with ovarian response, particularly in patients with polycystic ovary syndrome (PCOS).

Mass spectrometry (LC-MS/MS)is widely recognized as a highly accurate method for determining androgen profiles. However, due to various factors such as cost, large-scale studies using mass spectrometry to measure androgen profiles have not yet been conducted, and there is even a lack of research on the diagnostic performance of mass spectrometry-derived androgen profiles for polycystic ovary syndrome (PCOS).

The aim of this study is to evaluate the diagnostic performance (AUC, sensitivity, and specificity) of LC-MS/MS-measured androgen profiles in a multicenter real-world cohort for PCOS diagnosis. We will compare the diagnostic value of DHEA-S, DHEA, AD, T, DHT, and FT, and develop a multi-marker combined diagnostic model using machine learning to optimize the diagnostic efficacy for PCOS.

The primary research question is: Can LC-MS/MS-measured androgen profiles improve the diagnostic accuracy for PCOS?

By recruiting an appropriate number of participants and measuring the above serum biomarkers, we will statistically analyze the diagnostic performance of LC-MS/MS-determined androgen profiles, especially free testosterone (FT), in PCOS.

02

Conditions studied

  • Polycystic Ovary Syndrome (PCOS)
03

In context

Polycystic Ovary Syndrome

956 studies on the registry are indexed under Polycystic Ovary Syndrome; 176 are open to participants now.

This study's planned enrollment of 1,500 is above the median of 118 across 223 observational studies indexed under Polycystic Ovary Syndrome.

Browse Polycystic Ovary Syndrome studies →

Lead sponsor

Women's Hospital School Of Medicine Zhejiang University is the lead sponsor of 79 studies on the registry; 49 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 40 Years
Sexes eligible
Female
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

The study population will be recruited from multiple clinical sites, namely the Women's Hospital, School of Medicine, Zhejiang University, Taizhou Enze Hospital, and Wenzhou Central Hospital.The study population will consist of premenopausal women aged 18 to 40 years who present to the [Department of Gynecology/Endocrinology] outpatient clinic at these hospitals during the study period. Participants will be recruited consecutively (non-probability sampling) based on predefined eligibility criteria. The target population will be divided into two groups:PCOS Group and Control Group.All eligible individuals who provide written informed consent during the recruitment window will be enrolled consecutively. No random sampling from the general population will be performed.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

PCOS group:Women who meet the Rotterdam diagnostic criteria (at least two of the following three features after excluding other endocrine disorders: oligo-ovulation/anovulation, clinical and/or biochemical hyperandrogenism, and polycystic ovarian morphology on ultrasound).

Control group: Age-matched healthy women or women attending the clinic for routine gynecological check-ups who have regular menstrual cycles and show no clinical or biochemical signs of hyperandrogenism, and no polycystic ovarian morphology on ultrasound.

Exclusion criteria

Exclusion Criteria:

Ovarian resistance syndrome, complete androgen insensitivity syndrome, functional hypothalamic amenorrhea, adrenocortical hyperplasia, and other similar conditions; Use of medications that affect hormone secretion within 3 months prior to enrollment; Thyroid dysfunction, hyperprolactinemia, and other endocrine disorders.-

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
1,500 participants (estimated)
Patient registry
No

Groups and cohorts

  • PCOS group according to the diagnostic criteria of Rotterdam criteria

    Other: No Intervention: Observational Cohort · Diagnostic Test: No Intervention: Observational Cohort

  • control group

    Other: No Intervention: Observational Cohort · Diagnostic Test: No Intervention: Observational Cohort

Interventions

  • OtherNo Intervention: Observational Cohort

    There is no intervention in the study. We just detect androgen profiles of PCOS group and control group.

  • Diagnostic testNo Intervention: Observational Cohort

    There is no intervention in this study. We just detect androgen profiles by LC-MS/MS of PCOS group and control group in order to evaluate the value of androgen profiles to diagnose PCOS.

  • Diagnostic testNo Intervention: Observational Cohort

    There is no intervention for both groups in the study.

06

What researchers measure

Primary outcomes

  1. Area Under the ROC Curve (AUC) of LC-MS/MS-derived Androgen Profiles for the Diagnosis of Polycystic Ovary Syndrome (PCOS)

    The diagnostic accuracy of a panel of androgen profiles measured by liquid chromatography-tandem mass spectrometry (LC-MS/MS) will be evaluated. The reference standard for PCOS diagnosis is based on the Rotterdam criteria, which require at least two of the following three features after excluding other endocrine disorders: 1) oligo-ovulation or anovulation, 2) clinical and/or biochemical hyperandrogenism, and 3) polycystic ovarian morphology on ultrasound. The primary analysis will calculate the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and optimal cut-off values for specific androgens determined by the Youden index will also be reported. A higher AUC indicates better discriminative ability for distinguishing PCOS from non-PCOS controls.

    Time frame: Measured at baseline (at the time of study enrollment)

  2. Area Under the ROC Curve (AUC) of LC-MS/MS-derived Androgen Profiles for the Diagnosis of Polycystic Ovary Syndrome (PCOS)

    Time frame: Measured at baseline (at the time of study enrollment)

07

Study locations

1 of 1 sites recruiting
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References and documents

Individual participant data

Plan to share: Yes

Supporting information: Study protocol, Statistical analysis plan, Informed consent form

Time frame: Beginning 12 months and ending 36 months following article publication.

Access criteria: Data will be available to researchers who provide a methodologically sound proposal. Proposals should be directed to tuxiaoyu789@zju.edu.cn. To gain access, data requestors will need to sign a data access agreement.

No publications or documents are linked to this record.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 4, 2026
Show all 1 update
  1. Nov 4, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07916909
Lead sponsor
Women's Hospital School Of Medicine Zhejiang University
Collaborators
Taizhou Enze Medical Center Group, Wenzhou Central Hospital
Responsible party
Sponsor
First posted
Nov 4, 2026
Start date
Jul 1, 2026
Primary completion
Jun 30, 2028 (estimated)
Completion
Dec 31, 2028 (estimated)
Last update
Nov 4, 2026

Study contacts

Xiaoyu Tu
Contact
tuxiaoyu789@zju.edu.cn
+86 13868092157
View the source record on ClinicalTrials.gov ↗

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