Status and phase
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About
This study is testing a way to diagnose endometriosis using a uterine tissue biopsy (similar to a pap smear) as opposed to undergoing laparoscopy surgery. The tissue is sent to lab for cellular analysis with a proprietary AI (artificial intelligence) technology.
Full description
This study involves 2 visits to the site and possibly as outpatient surgical center, and the participant will be involved in the for as little as 1 day to as much as 60 days, mainly depending on scheduling of laparoscopy. Eligible participants in the active group will have history of endometriosis and will be having a laparoscopy for diagnosis within the next few weeks. Eligible participants in the control group will have no history of endometriosis but will need or have recently had a laparoscopy surgical procedure for a reasons such as tubal ligation.
The participant will have an uterine biopsy (similar to a pap smear) in the physician's office before the laparoscopy. The biopsied tissue will be sent to a special lab for analysis and diagnosis of endometriosis by an innovative proprietary procedure that analyses the cells of the tissue collected in the biopsy.
The results of the biopsy will be compared to the laparoscopy for accuracy.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Able to understand and provide informed consent.
Natural born female of childbearing potential.
Age between 18 and 50, inclusive.
Not pregnant at Visit 0 (screening) or Visit 1 (day of procedure).
Free of systemic or pelvic disorder that, in the opinion of the investigator, may interfere with the tissue collection procedure, analysis of the tissue or increase the risk to subject.
Must not have received excision or ablation surgical procedure or treatment, such as gonadotropin-releasing hormone (GnRH), for endometriosis within the past 12 months.
For Cohort 1 and 2:
Or for Cohort 3:
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
75 participants in 3 patient groups
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Central trial contact
Somer Baburek, MBA; Janan Van Osdell, MHSA
Data sourced from clinicaltrials.gov
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