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 type | Observational |
|---|---|
| Ages | 14 Years to 50 Years |
| Sex | Women only |
| Enrollment | 1200 (estimated) |
| Sponsor | Aspira Women's Health Industry-sponsored |
| Locations | 10 sites (Chandler, Arizona and 9 other locations) |
| Status | Recruiting |
| Started | July 12, 2022 |
| Main results expected | November 30, 2026 |
| Study ends | November 30, 2026 |
| Registry record updated | October 28, 2026 |
| Trial ID | NCT05245695 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
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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
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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
- Principal investigator: Todd Pappas, PhD — Aspira Women's Health
- Study coordinator: Marla Then, CRC
- Email: mthen@aspirawh.com
- Phone: 844-277-4721
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Comparing different techniques to treat endometriosis
This study is testing different methods to treat endometriosis, like laser and heat techniques, to see which one works best for relieving pain in women who are already having surgery for the condition.
-
Postoperative Pain Trajectories After Endometriosis Surgery
This study tests how pain changes after endometriosis surgery and whether perioperative pain testing can predict who will have ongoing pain.
-
Imaging endometriosis with a special PET tracer in adult women
This study tests whether a PET/CT scan using [18F]AlF-FAPI-74 can help detect endometriosis lesions in women who are planning laparoscopy.
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Fiber supplement for digestive symptoms in endometriosis
A fiber-based supplement is being tested to see if it is safe and helps with gut and vaginal microbiomes and digestive symptoms in women with endometriosis.
-
Stellate ganglion block and dexmedetomidine for better sleep after gynecologic laparoscopy
The study tests whether giving a preoperative stellate ganglion block plus intraoperative dexmedetomidine improves sleep after laparoscopic gynecologic surgery in women.
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Atypical Endometriosis: Histology, Immunophenotype and Molecular Features
Researchers will look at how endometriotic tissue that looks atypical under the microscope relates to clinical features and ultrasound findings to better separate benign from potentially atypical lesions.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.