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?
Study Type
OBSERVATIONAL
Enrollment
264
Minimal access surgery to determine the presence of characteristic endometriosis lesions on visual inspection of the pelvis
Chelsea and Westminster Hospital NHS Foundation Trust
London, United Kingdom
Endometriosis predictive model
Multiple logistic regression model of predictive variables
Time frame: 24 months
Markers of inflammation
Cytokine multiplex for markers of inflammation in peripheral blood
Time frame: 24 months
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