Kruger T F, Lacquet F A, Sarmiento C A, Menkveld R, Ozgür K, Lombard C J, Franken D R
University of Stellenbosch and Centre for Epidemiological Research, Medical Research Council, Tygerberg, Republic of South Africa.
Fertil Steril. 1996 Aug;66(2):285-91. doi: 10.1016/s0015-0282(16)58455-6.
To evaluate the IVOS (Hamilton Thorne Research Version 2.1 Dimension Program, Beverly, MA) system's ability to predict fertilization in vitro in a prospective study.
Hospital-based academic ART program.
Eighty patients from the IVF-GIFT program were evaluated. The same semen sample was analyzed on a day-to-day basis by both laboratory (manual method) and the computerized system for percentage normal morphology, concentration/mL, motility, and forward progression. Only patients with two or more metaphase II (MII) oocytes available were allowed into the study and excluded where the male partner had antisperm antibodies or qualified for intracytoplasmic sperm injection (<500,000 motile spermatozoa obtained after glass wool separation).
Logistic regression analysis was used to study predictors of fertilization in vitro.
Three hundred thirty-eight oocytes were obtained from 80 patients of which 239 fertilized. The logistic regression analysis of the manual method (percentage normal morphology) and IVOS indicated that both were predictors of fertilization. Sperm morphology as evaluated by IVOS in patients with <10 x 10(6) motile spermatozoa/mL retrieved after swim-up was a significant predictor of fertilization as was the number of oocytes obtained. Thus, the more oocytes obtained in the lower morphological groups, the better the chance of fertilization. The fertilization rate in the morphology group of 0% to 4% normal forms was 45.6% (37/81) and in the group >14% normal forms was 85.2% (69/81).
It was shown that in patients where </= 10 x 10(6) motile spermatozoa were obtained, the role of morphology (evaluated by IVOS) as well as the number of oocytes were important predictors of fertilization. The computer can assist to identify these patients with a poor prognosis for fertilization.
在一项前瞻性研究中评估IVOS（汉密尔顿·索恩研究公司2.1版维度程序，马萨诸塞州贝弗利）系统预测体外受精的能力。
基于医院的学术性辅助生殖技术项目。
对来自体外受精-配子输卵管内移植项目的80名患者进行评估。每天由实验室（手工方法）和计算机系统对同一份精液样本进行分析，检测正常形态百分比、每毫升浓度、活力和向前运动能力。仅允许有两个或更多中期II（MII）卵母细胞的患者进入研究，男性伴侣有抗精子抗体或符合卵胞浆内单精子注射条件（经玻璃棉分离后获得的活动精子少于500,000个）的患者被排除。
采用逻辑回归分析研究体外受精的预测因素。
从80名患者中获得338个卵母细胞，其中239个受精。手工方法（正常形态百分比）和IVOS的逻辑回归分析表明两者都是受精的预测因素。对于上游后每毫升活动精子少于10×10⁶个的患者，IVOS评估的精子形态以及获得的卵母细胞数量是受精的重要预测因素。因此，在形态学较低组中获得的卵母细胞越多，受精机会越好。正常形态为0%至4%的形态学组受精率为45.6%（37/81），正常形态>14%的组受精率为85.2%（69/81）。
结果表明，对于获得的活动精子≤10×10⁶个的患者，形态（由IVOS评估）以及卵母细胞数量是受精的重要预测因素。计算机可协助识别这些受精预后不良的患者。
