THE PREDICTIVE VALUE OF COMPUTER-ASSISTED SEMEN ANALYSIS IN THE CONTEXT OF A DONOR INSEMINATION PROGRAM

In this paper we examine the value of both conventional and computer-assisted semen analysis (CASA) using the Hamilton-Thorn HTM-S 2030 in predicting the in-vivo fertility of cryopreserved donor semen, Semen samples were examined prospectively and data on the conventional criteria of semen quality, sperm morphometry and movement were collected, Of 61 ejaculates identified, 33 achieved pregnancies ('successful') and 28 failed to do so ('unsuccessful'), despite insemination into at least four different normal female recipients. When the post-thaw semen profiles were compared, no differences were observed between the two groups in respect of the conventional criteria of semen quality determined by conventional laboratory techniques; however, there were differences in respect of both morphometry and movement characteristics determined by the HTM-S. When multiple logistic regression was used to examine the ability of the variables measured to predict the achievement of pregnancy, the conventional criteria of semen quality were of no value (chi(2) = 6.67, P = 0.353), However, the CASA assessment successfully predicted outcome in 86.9% of cases (chi(2) = 44.3, P = 0.0021). It was concluded that CASA assessment is of significant value in predicting the ability of an ejaculate to achieve pregnancy.