Development of a nonsurgical diagnostic tool for endometriosis based on the detection of endometrial leukocyte subsets and serum CA-125 levels
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Endometrial leukocyte subset proportions and serum CA-125 levels combined to create a diagnostic model with 95% specificity and 61% sensitivity for identifying endometriosis.
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Abstract
OBJECTIVE: To determine whether the proportion of several leukocyte subsets is modulated in the endometrium of patients with endometriosis and, if yes, whether it can be used for diagnostic purposes.
DESIGN: Case-control study.
SETTING: Eight clinical institutions of the Montreal area.
PATIENT(S): Women who underwent laparoscopy or laparotomy between 1997 and 2001, who had regular menstrual cycles and were not under hormone treatment for the previous 3 months were selected. This study included 368 women, 173 with surgically confirmed endometriosis and 195 controls with no surgical evidence of endometriosis.
MAIN OUTCOME MEASURE(S): Cytometry analysis was used to measure the proportion of several leukocyte subsets among CD45(+) endometrial cells.
RESULT(S): The proportion of CD3(+), CD16(+), CD3(-)HLADR(-), CD3(-)CD45RA(-), CD3(+)CD16(-), CD3(+)CD56(-), CD56(-)CD16(+), and CD16b(+) leukocytes was significantly altered in the endometrium of cases compared with controls. A multiple logistic regression model was adjusted with these endometrial leukocytes, serum CA-125 levels, risk factors, and confounders. The diagnostic performance of this predictive model was defined by a specificity of 95% and a sensitivity of 61%. Furthermore, the positive and negative predictive values were 91% and 75%, respectively.
CONCLUSION(S): This predictive model represents a novel diagnostic tool to identify women with a high likelihood of suffering from endometriosis.
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- europepmc
- last seen: 2026-06-13T06:22:48.782012+00:00
- pubmed
- last seen: 2026-05-13T22:12:44.121522+00:00
- unpaywall
- last seen: 2026-05-14T19:30:52.867331+00:00
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Courtesy of the U.S. National Library of Medicine
Courtesy of the U.S. National Library of Medicine