TY - JOUR
T1 - Computer-automated time-lapse analysis results correlate with embryo implantation and clinical pregnancy
T2 - A blinded, multi-centre study
AU - Vermilyea, Matthew D.
AU - Tan, Lei
AU - Anthony, Joshua T.
AU - Conaghan, Joe
AU - Ivani, Kristen
AU - Gvakharia, Marina
AU - Boostanfar, Robert
AU - Baker, Valerie L.
AU - Suraj, Vaishali
AU - Chen, Alice A.
AU - Mainigi, Monica
AU - Coutifaris, Christos
AU - Shen, Shehua
N1 - Funding Information:
The authors gratefully acknowledge the embryologists, physicians and patients who participated in this study. We also thank Roopa Murugesan, Kelly Athayde Wirka, the clinical operations team and engineering team at Auxogyn for technical support and helpful discussions. Matthew VerMilyea, PhD, HCLD, is Director of Assisted Reproductive Technologies and Andrology Laboratories at the University of Pennsylvania, USA, and Scientific Director of Fertility Associates, New Zealand. He graduated from Cornell University, and received training in human embryology at Shady Grove Fertility, USA. He then obtained his PhD in Epigenetics from the University of Birmingham, UK. Matthew received a postdoctoral fellowship from the Japanese Society for the Promotion of Science for mammalian molecular embryology research at the RIKEN Institute, Kobe. Research interests include non-invasive and uninterrupted embryo culture protocols, time-lapse video imagery, micro-environment culture settings and early embryo histone modifications.
Publisher Copyright:
© 2014 Reproductive Healthcare Ltd. All rights reserved.
PY - 2014/12/1
Y1 - 2014/12/1
N2 - 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.
AB - 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.
KW - Eeva Test
KW - embryo
KW - implantation
KW - in-vitro fertilization
KW - pregnancy
KW - selection
KW - time-lapse
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UR - http://www.scopus.com/inward/citedby.url?scp=84919600938&partnerID=8YFLogxK
U2 - 10.1016/j.rbmo.2014.09.005
DO - 10.1016/j.rbmo.2014.09.005
M3 - Article
C2 - 25444507
AN - SCOPUS:84919600938
SN - 1472-6483
VL - 29
SP - 729
EP - 736
JO - Reproductive biomedicine online
JF - Reproductive biomedicine online
IS - 6
ER -