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EndometrioSis PRediction and Assessment of InflammaTion

NCT07114081 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 264

Last updated 2025-08-11

No results posted yet for this study

Summary

The goal of this observational study is to develop a non-invasive predictive algorithm for a diagnosis of endometriosis in a group of symptomatic women attending for their first laparoscopic surgical procedure for symptoms that are suspicious for pelvic endometriosis and to understand the role of peripheral markers of inflammation in enhancing this diagnosis.

The main questions it aims to answer are:

Can a non-invasive quantitative algorithm ('Endometriosis Diagnostic Index') accurately predict the presence or absence of pelvic endometriosis? Is the peripheral inflammatory environment (for example, presence of inflammatory cytokines and chemokine) different between people with and without endometriosis?

Conditions

  • Endometriosis

Interventions

DIAGNOSTIC_TEST

Diagnostic laparoscopy

Minimal access surgery to determine the presence of characteristic endometriosis lesions on visual inspection of the pelvis

Sponsors & Collaborators

  • Imperial College London

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
50 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-07-01
Primary Completion
2024-02-01
Completion
2025-08-01

Countries

  • United Kingdom

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07114081 on ClinicalTrials.gov