Investigation of anogenital distance as a diagnostic tool in endometriosis. Issue 4 (April 2017)

• Record Type: Journal Article
• Authors: Sánchez-Ferrer, Maria L.; Mendiola, Jaime; Jiménez-Velázquez, Raquel; Cánovas-López, Laura; Corbalán-Biyang, Shiana; Hernández-Peñalver, Ana I.; Carmona-Barnosi, Ana; Maldonado-Cárceles, Ana B.; Prieto-Sánchez, Maria T.; Machado-Linde, Francisco; Nieto, Anibal; Torres-Cantero, Alberto M.
• Is Part Of: Reproductive biomedicine online. Volume 34:Issue 4(2017)
• Page Start: 375
• Page End: 382
• Publication Date: 2017-04
• Subjects: Anogenital distance -- Endometriosis -- ROC curve; Human reproductive technology -- Periodicals; Human embryo -- Periodicals; Reproduction -- Periodicals; 616.692
• DOI: 10.1016/j.rbmo.2017.01.002
• Languages: English
• ISSNs: 1472-6483

Abstract

Abstract: An association between anogenital distance (AGD) and endometriosis has been reported, suggesting that AGD may be a useful clinical tool in endometriosis. The predictive ability of AGD of women in discriminating presence and type of endometriosis was examined. A case-control study was conducted at the University Hospital 'Virgen de la Arrixaca', Murcia, Spain, between 2014 and 2015. A total of 114 participants diagnosed with endometriosis using ultrasound findings and 105 controls were recruited. Two AGD measurements were obtained: one from the anterior clitoral surface to the upper verge of the anus (AGDAC ), and another one from the posterior fourchette to the upper verge of the anus (AGDAF ). Parametric and non-parametric tests andreceiver operator characterstic analyses were used to determine relationships between AGD and presence of endometriosis and subgroups (ovarian endometriomas or deep infiltrating endometriosis [DIE]). The AGDAF, but not AGDAC, was associated with presence of endometriomas, DIE ( P -values, <0.001–0.02), or both. The highest area under curve (0.91; 95% CI 0.84 to 0.97) was obtained for the DIE subgroup with the AGDAF measurement, with a sensitivity and specificity of 84.4% and 91.4%, respectively. AGDAF can therefore efficiently discriminate the presence of DIE and may be a useful clinical tool.