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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Evaluation of a panel of 28 biomarkers for the non-invasive diagnosis of endometriosis
Human Reproduction, Volume 27, No. 9, Year 2012
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Description
BackgroundAt present, the only way to conclusively diagnose endometriosis is laparoscopic inspection, preferably with histological confirmation. This contributes to the delay in the diagnosis of endometriosis which is 611 years. So far non-invasive diagnostic approaches such as ultrasound (US), MRI or blood tests do not have sufficient diagnostic power. Our aim was to develop and validate a non-invasive diagnostic test with a high sensitivity (80 or more) for symptomatic endometriosis patients, without US evidence of endometriosis, since this is the group most in need of a non-invasive test. MethodsA total of 28 inflammatory and non-inflammatory plasma biomarkers were measured in 353 EDTA plasma samples collected at surgery from 121 controls without endometriosis at laparoscopy and from 232 women with endometriosis (minimalmild n 148; moderatesevere n 84), including 175 women without preoperative US evidence of endometriosis. Surgery was done during menstrual (n 83), follicular (n 135) and luteal (n 135) phases of the menstrual cycle. For analysis, the data were randomly divided into an independent training (n 235) and a test (n 118) data set. Statistical analysis was done using univariate and multivariate (logistic regression and least squares support vector machines (LS-SVM) approaches in training- and test data set separately to validate our findings. ResultsIn the training set, two models of four biomarkers (Model 1: annexin V, VEGF, CA-125 and glycodelin; Model 2: annexin V, VEGF, CA-125 and sICAM-1) analysed in plasma, obtained during the menstrual phase, could predict US-negative endometriosis with a high sensitivity (8190) and an acceptable specificity (6881). The same two models predicted US-negative endometriosis in the independent validation test set with a high sensitivity (82) and an acceptable specificity (6375). ConclusionsIn plasma samples obtained during menstruation, multivariate analysis of four biomarkers (annexin V, VEGF, CA-125 and sICAM-1/or glycodelin) enabled the diagnosis of endometriosis undetectable by US with a sensitivity of 8190 and a specificity of 6381 in independent training- and test data set. The next step is to apply these models for preoperative prediction of endometriosis in an independent set of patients with infertility and/or pain without US evidence of endometriosis, scheduled for laparoscopy. © The Author 2012.
Authors & Co-Authors
Vodolazkaia, Alexandra
Belgium, Leuven
Ku Leuven
El-Aalamat, Y.
Belgium, Leuven
Ku Leuven
Popovic, D.
Belgium, Leuven
Ku Leuven
Mihályi, Attila M.
Belgium, Leuven
Ku Leuven
Bossuyt, Xavier
Belgium, Leuven
Ku Leuven– University Hospital Leuven
Kyama, Cleophas Mutinda
Belgium, Leuven
Ku Leuven
Kenya, Nairobi
Jomo Kenyatta University of Agriculture and Technology
Fassbender, Amelie
Belgium, Leuven
Ku Leuven
Bokor, Attila Z.
Belgium, Leuven
Ku Leuven
Hungary, Budapest
Általános Orvostudományi Kar
Schols, Dominique
Belgium, Leuven
Rega Institute for Medical Research
Huskens, Dana
Belgium, Leuven
Rega Institute for Medical Research
Meuleman, Christel L.
Belgium, Leuven
Ku Leuven
Peeraer, Karen
Belgium, Leuven
Ku Leuven
Tomassetti, Carla
Belgium, Leuven
Ku Leuven
Gevaert, A. Olivier
Belgium, Leuven
Ku Leuven
Waelkens, Etienne
Belgium, Leuven
Ku Leuven– University Hospital Leuven
Belgium, Leuven
Systems Biology Based Mass Spectrometry Centre
Kasran, A.
Belgium, Leuven
Ku Leuven
de Moor, Bart L.R.
Belgium, Leuven
Ku Leuven
D'Hooghe, Thomas Maria
Belgium, Leuven
Ku Leuven
Kenya, Nairobi
National Museums of Kenya
Statistics
Citations: 157
Authors: 18
Affiliations: 7
Identifiers
Doi:
10.1093/humrep/des234
ISSN:
02681161
Research Areas
Health System And Policy
Sexual And Reproductive Health
Study Approach
Quantitative
Participants Gender
Female