Predictive value of classical and automated sperm analysis for in-vitro fertilization
Autor: | Patricia Barlow, Annick Delvigne, Jeanine Van Hoeck, Jean Van Dromme, Fernand Leroy, Kathleen Vandenbosch |
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Rok vydání: | 1991 |
Předmět: |
Male
endocrine system Cell Survival medicine.medical_treatment Semen Fertilization in Vitro Biology Andrology Human fertilization Linear regression medicine Humans Multiple correlation Sperm motility Autoanalysis In vitro fertilisation Sperm Count urogenital system Rehabilitation Obstetrics and Gynecology Stepwise regression Spermatozoa Sperm Reproductive Medicine Sperm Motility Regression Analysis Female |
Zdroj: | Human Reproduction. 6:1119-1124 |
ISSN: | 1460-2350 0268-1161 |
DOI: | 10.1093/oxfordjournals.humrep.a137496 |
Popis: | The fertilization rates observed in 122 attempts at in-vitro fertilization were examined in relation to sperm characteristics assessed by visual and automated screening. Using linear regression analysis, a significant correlation was found between the fertilization rate and (i) evaluations in fresh semen sperm concentration, percentages of sperm motility, vitality and normal morphology and velocity, (ii) measurements in swim-up preparations of percentages of sperm motility, vitality and morphology, velocity and amplitude of lateral head displacement. No significant correlation was found between the fertilization rate and any of the parameters studied in 24-h-old swim-up suspensions. Analysis by multiple variable stepwise linear regression showed an optimal correlation (R 6 = 0.62) between the observed fertilization rate and theoretical calculation obtained from the following predictive function: fertilization rate = -0.3 + (0.008 x swim-up motility) + (0.004 x normal sperm morphology in fresh semen). Introduction of kinematic characteristics studied by automated screening improved the multiple correlation between the calculated and observed fertilization rate in cases of normal or mildly defective semen. Because of the limited availability of motile spermatozoa, automated analysis could not supersede classical sperm analysis in cases of more severe sperm defects. |
Databáze: | OpenAIRE |
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