RECRUITING

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

Talk to us

Conditions

EndometriosisBiomarkersDeep neural network

Quick Navigation

Study Overview

This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.

Description

The goal of this observational study is to determine the clinical validity of a deep neural network algorithm that utilizes protein biomarker detection of Endometriosis - "EndoCheck" - as an "aid in diagnosis" for endometriosis and to show validity as a diagnostic test

Official Title

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

Quick Facts

Study Start:2022-07-12
Study Completion:2024-07-31
Study Type:Not specified
Phase:Not Applicable
Enrollment:Not specified
Status:RECRUITING

Study ID

NCT05245695

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Ages Eligible for Study:14 Years to 50 Years
Sexes Eligible for Study:FEMALE
Accepts Healthy Volunteers:No
Standard Ages:CHILD, ADULT
Inclusion CriteriaExclusion Criteria
  1. * Participant is willing and able to provide written informed consent.
  2. * Participant is a female aged 14 to 50 years old at time of consent.
  3. * Participant is scheduled to undergo laparotomy or laparoscopy for symptomology consistent with possible endometriosis
  1. * Participant is a female in a pre-menarchal state.
  2. * Participant is pregnant.
  3. * Participant has an active malignancy.
  4. * Participant is known to have tested positive for human immunodeficiency virus or hepatitis A, B, or C.
  5. * Participant has an active pelvic infection or other infections contraindicated for surgery.
  6. * 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.
  7. * Participant has any general health or behavioral condition that, in the opinion of the investigator, should exclude the participant from participation.
  8. * Participant is under 14 years old or over 50 years old

Contacts and Locations

Study Contact

Silvana Franco
CONTACT
844-277-4721
sfranco@aspirawh.com

Principal Investigator

Todd Pappas, PhD
PRINCIPAL_INVESTIGATOR
Aspira Women's Health

Study Locations (Sites)

New Horizons Clinical Trials
Chandler, Arizona, 852224
United States
Arizona Gynecology Consultants
Mesa, Arizona, 85203
United States
Reproductive Associates of Delaware (RAD)
Newark, Delaware, 19713
United States
Midtown OBGYN North
Columbus, Georgia, 31909
United States
Advanced Women's Care Center
Stockbridge, Georgia, 30281
United States
Johns Hopkins School of Medicine
Baltimore, Maryland, 21205
United States
Nezhat Surgery for Gynecology/Oncology
Valley Stream, New York, 11581
United States
Axia Women's Health
Cincinnati, Ohio, 45242
United States
May Grant
Lancaster, Pennsylvania, 17601
United States
Womens Health Services of Central Virginia
Lynchburg, Virginia, 24502
United States

Collaborators and Investigators

Sponsor: Aspira Women's Health

  • Todd Pappas, PhD, PRINCIPAL_INVESTIGATOR, Aspira Women's Health

Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates

Study Start Date2022-07-12
Study Completion Date2024-07-31

Study Record Updates

Study Start Date2022-07-12
Study Completion Date2024-07-31

Terms related to this study

Keywords Provided by Researchers

  • Endometriosis
  • Biomarkers
  • Deep neural network

Additional Relevant MeSH Terms

  • Endometriosis