Time-lapse technology combined with a novel automated analysis method for embryo selection; clinical validation
2017; Elsevier BV; Volume: 108; Issue: 3 Linguagem: Inglês
10.1016/j.fertnstert.2017.07.718
ISSN1556-5653
AutoresLucía Alegre, A.E. Palma, J. Marcos, Carmela Albert, Raquel Del Gallego, António Pellicer, Marcos Meseguer,
Tópico(s)Assisted Reproductive Technology and Twin Pregnancy
ResumoTime-lapse technology helps to elucidate key events of embryo development, but nevertheless, not all seemingly good quality embryos lead to implantation. In order to achieve the first goal of IVF treatment, implantation success, we need to be able to select developmentally best embryo to transfer. The objective of this study was to evaluate if an automated embryo assessment software can classify embryos in regards to their implantation potential. An ongoing prospective multicenter trial was performed. A total of 274 fresh cycles from infertile couples undergoing oocyte donation were included. Timings of embryo cleavage and cell cycle lengths were registered automatically by the analysis software (DANA). These morphokinetic parameters were positioned in 2D-plots and the average distances of values were compared within a KID (Known Implantation Data) data cloud, followed by the generation of quality ranking system based on implantation potential. The ranking uses UAD values (unit average distance) for the result of each embryo. A total of 389 analysed embryos were subsequently transferred, implantation data recorded and results analysed by ANOVA and chi-square tests by using SPSS software. Statistically significant differences between analyzed embryos were found when UAD averages results were compared: KID+ embryos (0.96 UAD) vs. KID- (1.53 UAD) (p 0.998 UAD) implantation potential. The implantation and ongoing pregnancy rates for these groups were 55%, 45% and 23%, respectively (p<0.001) The ongoing pregnancy rate was higher in cases where at least one of the embryos transferred (single or double transfer) was ranked as HIGH (50% vs. 39% without a HIGH ranked embryo). The application of automated DANA classification has been shown to be a useful tool for assessing the implantation potential of embryos in a noninvasive way. Selecting embryos based on their DANA ranking leads to an increased chance of success in embryo transfer.
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