OBJECTIVE: To determine whether the proportion of several leukocyte subsets is modulated in the endometrium of @entity1 with @entity46 and, if yes, whether it can be used for diagnostic purposes. DESIGN: Case-control study. SETTING: Eight clinical institutions of the Montreal area. @entity1 (S): @entity1 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 @entity1 , 173 with surgically confirmed @entity46 and 195 controls with no surgical evidence of @entity46 . INTERVENTIONS:                 <AbstractText Label="MAIN OUTCOME MEASURE(S)" NlmCategory="METHODS">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 @entity4070 (+) leukocytes was significantly altered in the endometrium of cases compared with controls. A multiple logistic regression model was adjusted with these endometrial leukocytes, serum @entity10224 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 @entity1 with a high likelihood of suffering from @entity46 .

Development of a nonsurgical diagnostic tool for XXXX based on the detection of endometrial leukocyte subsets and serum @entity10224 levels.

@entity1 :: ('9606', 'Species') :: ['women', 'patients', 'Women', 'PATIENT'] @entity46 :: ('MESH:D004715', 'Disease') :: ['endometriosis'] @entity4070 :: ('2215', 'Gene') :: ['CD16b'] @entity10224 :: ('94025', 'Gene') :: ['CA-125']
@entity46 :: (MESH:D004715,Disease) :: ['endometriosis']
