title: Estimating fertility potential via semen analysis data.
abstract: The aim of this study was to evaluate diagnostic profiles for the assessment of semen analysis data with respect to male fertility potential. Semen samples taken from 208 patients of known fertility and suspected infertility were studied by conventional semen analysis methods. The data throw doubt upon the validity of an approach based on the number of deviations from the normal standard values defined by the World Health Organization. The alternative approach of a specific semen characteristic (particularly morphology) as the major predictor of fertility produced no beneficial results. However, the semen analysis index based on semen volume, sperm count, percentage motility and normal forms resulted in a high accuracy of classification but for only 44% of the cases, with 3% false negatives and 10% false positives using cut-off indices of > or = 0.6 and < or = -1.0 for defining 'fertile' and 'infertile' zones, respectively. In conclusion, it is emphasized that there are a number of specific semen analysis variables, each expressing a different aspect of male fertility potential which, when combined in correct proportion, do provide the optimal evaluation of the male fertility status. However, in order to increase the prognostic potential of the semen sample, new and meaningful parameters must be discovered.
authors.affiliation: Health Science Research Centre, Bar-Ilan University, Ramat Gan, Israel.
authors.forename: B
authors.initials: B
authors.lastname: Bartoov
authors.forename: F
authors.initials: F
authors.lastname: Eltes
authors.forename: M
authors.initials: M
authors.lastname: Pansky
authors.forename: H
authors.initials: H
authors.lastname: Lederman
authors.forename: E
authors.initials: E
authors.lastname: Caspi
authors.forename: Y
authors.initials: Y
authors.lastname: Soffer
mesh_terms: D000328:Adult; D016002:Discriminant Analysis; D005298:Fertility / Q000502:physiology*; D006801:Humans; D008297:Male; D011237:Predictive Value of Tests; D012044:Regression Analysis; D015203:Reproducibility of Results; D012661:Semen / Q000166:cytology*