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\n Rethinking the cardinal symptoms of endometriosis and their relationship to quality of life: feeling sick, tired and pain on bowel movements\n

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\n The development and initial psychometric testing of the ermotional health in infertility questionnaire (EHIQ)\n

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\n Temporal calibration of freehand three-dimensional ultrasound using image alignment\n

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\n The Interleukin-6 \u2013174G/C Promoter Polymorphism Is Not Associated With Endometriosis in South Indian Women\n

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\n Investigation into the Fusion of Multiple 4-D Fetal Echocardiography Images to Improve Image Quality\n

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\n Polymorphisms in the estrogen receptor \u03b2 gene but not estrogen receptor \u03b1 gene affect the risk of developing endometriosis in a Japanese population\n

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\n PIH24 EVALUATION OF THE AMERICAN (U.S.A.) VERSION OF THE ENDOMETRIOSIS HEALTH PROFILE (EHP-30)\n

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\n Epidermal Growth Factor Receptor and Human Epidermal Growth Factor Receptor 2 Gene Polymorphisms in Endometrial Cancer in a Japanese Population\n

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\n Association Study of Endometriosis and Intercellular Adhesion Molecule-1 (ICAM-1) Gene Polymorphisms in a Japanese Population\n

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\n Polymorphism at Codon 72 of the p53 Gene Is Not associated With Endometriosis in a Japanese Population\n

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\n Genetics of Endometriosis: A Review of the Positional Cloning Approaches\n

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\n Matrix Metalloproteinase-1 and -9 Promoter Polymorphisms Are Not Associated With an Increased Risk of Uterine Leiomyomas in a Japanese Population\n

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\n Allelic loss studies do not provide evidence for the \u201cendometriosis-as-tumor\u201d theory\n

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\n Lack of Association Between Endometriosis and N-acetyl transferase 1 (NAT1) and 2 (NAT2) Polymorphisms in a Japanese Population\n

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\n Development of the Short Form Endometriosis Health Profile Questionnaire: The EHP-5\n

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\n Evaluating the responsiveness of the endometriosis health profile questionnaire: The EHP-30\n

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\n Why Are Women Dying When They Reach Hospital on Time? A Systematic Review of the \u2018Third Delay\u2019\n

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\n Endometriosis\n

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\n Endometriosis\n

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\n OC23.02: To what extent does ultrasound estimation of gestational age affect the rate of preterm births in a rural population in sub-Saharan Africa (sSA)?\n

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