Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6188961 | Reproductive BioMedicine Online | 2014 | 8 Pages |
Abstract
Computer-automated time-lapse analysis has been shown to improve embryo selection by providing quantitative and objective information to supplement traditional morphology. In this multi-centre study, the relationship between such computer-derived outputs (High, Medium, Low scores), embryo implantation and clinical pregnancy were examined. Data were collected from six clinics, including 205 patients whose embryos were imaged by the EevaTM System. The Eeva scores were blinded and not considered during embryo selection. Embryos with High and Medium scores had significantly higher implantation rates than those with Low scores (37% and 35% versus 15%; P < 0.0001; P = 0.0004). Similar trends in implantation rates were observed in different IVF centres each using their own protocols. Further analysis revealed that patients with at least one High embryo transferred had significantly higher clinical pregnancy rates than those with only Low embryos transferred (51% versus 34%; P = 0.02), although patients' clinical characteristics across groups were comparable. These data, together with previous research and clinical studies, confirm that computer-automated Eeva scores provide valuable information, which may improve the clinical outcome of IVF procedures and ultimately facilitate the trend of single embryo selection.
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Authors
Matthew D. VerMilyea, Lei Tan, Joshua T. Anthony, Joe Conaghan, Kristen Ivani, Marina Gvakharia, Robert Boostanfar, Valerie L. Baker, Vaishali Suraj, Alice A. Chen, Monica Mainigi, Christos Coutifaris, Shehua Shen,