NCT07114081

EndometrioSis PRediction and Assessment of InflammaTion

Exploring Pre-operative Prediction of Pelvic Endometriosis, the Local Inflammatory Environment and Response to Surgical Treatment

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 264 (actual)
• Sponsor: Imperial College London · Academic / Other
• Sex: Female
• Age: 18 Years – 50 Years
• Healthy volunteers: —

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

Type	Name	Description
DIAGNOSTIC_TEST	Diagnostic laparoscopy	Minimal access surgery to determine the presence of characteristic endometriosis lesions on visual inspection of the pelvis

Timeline

• Start date: 2022-07-01
• Primary completion: 2024-02-01
• Completion: 2025-08-01
• First posted: 2025-08-11
• Last updated: 2025-08-11

Locations

1 site across 1 country: United Kingdom