Clinical trial Recruiting at 10 sites Observational Ages 14 to 50 Women only

Using a deep neural network to help diagnose endometriosis in women with chronic pelvic pain

Official title: Deep Neural Network Stratification for the Use in Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)

Run by Aspira Women's Health · NCT05245695 · Data updated 2026-11-12

This study is testing a new tool called EndoCheck to see if it can help doctors diagnose endometriosis in women who have chronic pelvic pain, comparing its results to traditional surgery.

Quick facts

Study typeObservational
Ages14 Years to 50 Years
SexWomen only
Enrollment1200 (estimated)
SponsorAspira Women's Health
Industry-sponsored
Locations10 sites (Chandler, Arizona and 9 other locations)
StatusRecruiting
StartedJuly 12, 2022
Main results expectedNovember 30, 2026
Study endsNovember 30, 2026
Registry record updatedOctober 28, 2026
Trial IDNCT05245695 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates for this study are females aged 14 to 50 who are scheduled for laparotomy or laparoscopy due to symptoms suggestive of endometriosis.

Probably not a fit

Patients who are pre-menarchal, pregnant, or have active malignancies or infections may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to evaluate the clinical validity of the EndoCheck algorithm, which utilizes protein biomarker detection to assist in diagnosing endometriosis. The study will compare the performance of EndoCheck against laparoscopic surgical assessment in women experiencing chronic pelvic pain. The primary goal is to achieve a sensitivity of at least 94% and specificity of 79% for the diagnostic test, with secondary endpoints focusing on performance across different pain severity levels and clinical factors.

Why it matters

Potential benefit: If successful, this study could provide a more accurate and less invasive method for diagnosing endometriosis in women suffering from chronic pelvic pain.

How similar studies have gone: While the use of deep neural networks in medical diagnostics is a growing field, this specific application for endometriosis detection is novel and has not been extensively tested in prior studies.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Participant is willing and able to provide written informed consent.
* Participant is a female aged 14 to 50 years old at time of consent.
* Participant is scheduled to undergo laparotomy or laparoscopy for symptomology consistent with possible endometriosis

Exclusion Criteria:

* Participant is a female in a pre-menarchal state.
* Participant is pregnant.
* Participant has an active malignancy.
* Participant is known to have tested positive for human immunodeficiency virus or hepatitis A, B, or C.
* Participant has an active pelvic infection or other infections contraindicated for surgery.
* Participant has participated (±3 months of study enrollment) in a clinical trial where an investigational drug/ device/ procedure was or is planned to be administered.
* Participant has any general health or behavioral condition that, in the opinion of the investigator, should exclude the participant from participation.
* Participant is under 14 years old or over 50 years old

Where it's running

  • New Horizons Clinical Trials
    Chandler, Arizona, United States
    Recruiting
  • Velvet Clinical Research
    Burbank, California, United States
    Recruiting
  • Reproductive Associates of Delaware (RAD)
    Newark, Delaware, United States
    Recruiting
  • Midtown OBGYN North
    Columbus, Georgia, United States
    Recruiting
  • Advanced Women's Care Center
    Stockbridge, Georgia, United States
    Recruiting
  • Cindy Basinski, MD
    Forest Hill, Indiana, United States
    Recruiting
Show 4 more locations
  • Johns Hopkins School of Medicine
    Baltimore, Maryland, United States
    Recruiting
  • Nezhat Surgery for Gynecology/Oncology
    Valley Stream, New York, United States
    Recruiting
  • Seven Hills Clinical Research
    Cincinnati, Ohio, United States
    Recruiting
  • Womens Health Services of Central Virginia
    Lynchburg, Virginia, United States
    Recruiting

Study contacts

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
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Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.