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von Eckardstein, S., Simoni, M., Bergmann, M., Weinbauer, G.F., Gassner, P., Schepers, A.G., et al. (1999) Serum inhibin B in combination with serum follicle-stimulating hormone (FSH) is a more sensitive marker than serum FSH alone for impaired spermatogenesis in men, but cannot predict the presence of sperm in testicular tissue samples. The Journal of Clinical Endocrinology & Metabolism, 84, 2496-2501. doi:10.1210/jc.84.7.2496

has been cited by the following article:

• TITLE: Combined evaluation of inhibin B, follicle stimulating hormone and luteinizing hormone improve sperm retrieval prediction in patients with non-obstructive azoospermia

  AUTHORS: Bing Wang, Xun-Bin Huang

  KEYWORDS: Non-Obstructive Azoospermia; Sperm; Hormones; Prediction; Non-Invasive

  JOURNAL NAME: Advances in Reproductive Sciences, Vol.1 No.1, May 27, 2013

  ABSTRACT: Introduction: Non-invasive methods that can predict sperm recovery in patients with non-obstructive azoospermia (NOA) arouse interest of clinicians. The aim of this study was to evaluate the predictive value of sperm retrieval in NOA. Materials and Methods: In the retrospective study, fine needle aspiration (FNA) was performed on 306 patients with NOA at the department of andrology, Wuhan Tongji Reproductive Medical Hospital. Inhibin B, FSH and LH plasma levels were analyzed and sperms were retrieved in 67 of 306 cases (21.89%). Results: There were statistically significant differences between successful and unsuccessful sperm recoverygroups in terms of mean serum inhibin B, FSH and LH levels. The areas under the curve (AUC) of inhibin B, FSH and LH were 0.696, 0.729 and 0.747 respectively, and the AUC for the combined value of the three hormones is 0.832. The cut-off points were 27.31 pg/ml, 11.68 IU/L and 4.04 IU/L for inhibin B, FSH and LH respectively. Conclusions: This study suggests that the combined evaluation of inhibin B, FSH and LH is a more effective predictor for successful sperm retrieval in patients with NOA before decision making of an invasive procedure than any single factor.