Literature DB >> 25444507

Computer-automated time-lapse analysis results correlate with embryo implantation and clinical pregnancy: a blinded, multi-centre study.

Matthew D VerMilyea1, Lei Tan2, Joshua T Anthony1, Joe Conaghan3, Kristen Ivani4, Marina Gvakharia5, Robert Boostanfar6, Valerie L Baker7, Vaishali Suraj2, Alice A Chen2, Monica Mainigi1, Christos Coutifaris1, Shehua Shen8.   

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 Eeva(TM) 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.
Copyright © 2014 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Eeva Test; embryo selection; implantation; in-vitro fertilization; pregnancy; time-lapse

Mesh:

Year:  2014        PMID: 25444507      PMCID: PMC4575500          DOI: 10.1016/j.rbmo.2014.09.005

Source DB:  PubMed          Journal:  Reprod Biomed Online        ISSN: 1472-6483            Impact factor:   3.828


  34 in total

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Authors:  B Aparicio; M Cruz; M Meseguer
Journal:  Reprod Biomed Online       Date:  2013-09-07       Impact factor: 3.828

Review 2.  Morphological assessment of embryo viability.

Authors:  Michael Abeyta; Barry Behr
Journal:  Semin Reprod Med       Date:  2014-02-10       Impact factor: 1.303

3.  Limitations of a time-lapse blastocyst prediction model: a large multicentre outcome analysis.

Authors:  Kirstine Kirkegaard; Alison Campbell; Inge Agerholm; Ursula Bentin-Ley; Anette Gabrielsen; John Kirk; Shabana Sayed; Hans Jakob Ingerslev
Journal:  Reprod Biomed Online       Date:  2014-05-15       Impact factor: 3.828

4.  Preterm births, multiples, and fertility treatment: recommendations for changes to policy and clinical practices.

Authors:  Josephine Johnston; Michael K Gusmano; Pasquale Patrizio
Journal:  Fertil Steril       Date:  2014-04-13       Impact factor: 7.329

5.  Time-lapse parameters as predictors of blastocyst development and pregnancy outcome in embryos from good prognosis patients: a prospective cohort study.

Authors:  K Kirkegaard; U S Kesmodel; J J Hindkjær; H J Ingerslev
Journal:  Hum Reprod       Date:  2013-07-30       Impact factor: 6.918

6.  The human first cell cycle: impact on implantation.

Authors:  Jesús Aguilar; Yamileth Motato; María José Escribá; María Ojeda; Elkin Muñoz; Marcos Meseguer
Journal:  Reprod Biomed Online       Date:  2013-12-11       Impact factor: 3.828

7.  Effect of oxygen concentration on human embryo development evaluated by time-lapse monitoring.

Authors:  Kirstine Kirkegaard; Johnny Juhl Hindkjaer; Hans Jakob Ingerslev
Journal:  Fertil Steril       Date:  2012-12-11       Impact factor: 7.329

8.  Increasing the probability of selecting chromosomally normal embryos by time-lapse morphokinetics analysis.

Authors:  Natalia Basile; Maria del Carmen Nogales; Fernando Bronet; Mireia Florensa; Marissa Riqueiros; Lorena Rodrigo; Juan García-Velasco; Marcos Meseguer
Journal:  Fertil Steril       Date:  2014-01-11       Impact factor: 7.329

9.  Atypical embryo phenotypes identified by time-lapse microscopy: high prevalence and association with embryo development.

Authors:  Kelly Athayde Wirka; Alice A Chen; Joe Conaghan; Kristen Ivani; Marina Gvakharia; Barry Behr; Vaishali Suraj; Lei Tan; Shehua Shen
Journal:  Fertil Steril       Date:  2014-04-14       Impact factor: 7.329

10.  Improving embryo selection using a computer-automated time-lapse image analysis test plus day 3 morphology: results from a prospective multicenter trial.

Authors:  Joe Conaghan; Alice A Chen; Susan P Willman; Kristen Ivani; Philip E Chenette; Robert Boostanfar; Valerie L Baker; G David Adamson; Mary E Abusief; Marina Gvakharia; Kevin E Loewke; Shehua Shen
Journal:  Fertil Steril       Date:  2013-05-28       Impact factor: 7.329

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  28 in total

1.  Morphokinetic Evaluation of Embryo Development in a Mouse Model: Functional and Molecular Correlates.

Authors:  Rachel Weinerman; Rui Feng; Teri S Ord; Richard M Schultz; Marisa S Bartolomei; Christos Coutifaris; Monica Mainigi
Journal:  Biol Reprod       Date:  2016-02-24       Impact factor: 4.285

2.  A critical appraisal of time-lapse imaging for embryo selection: where are we and where do we need to go?

Authors:  Catherine Racowsky; Peter Kovacs; Wellington P Martins
Journal:  J Assist Reprod Genet       Date:  2015-07-01       Impact factor: 3.412

3.  Morphokinetic parameters using time-lapse technology and day 5 embryo quality: a prospective cohort study.

Authors:  Ashleigh Storr; Christos A Venetis; Simon Cooke; Daisy Susetio; Suha Kilani; William Ledger
Journal:  J Assist Reprod Genet       Date:  2015-07-15       Impact factor: 3.412

4.  National survey on use of time-lapse imaging systems in IVF laboratories.

Authors:  Andrey V Dolinko; L V Farland; D J Kaser; S A Missmer; C Racowsky
Journal:  J Assist Reprod Genet       Date:  2017-06-10       Impact factor: 3.412

Review 5.  Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligence.

Authors:  Mara Simopoulou; Konstantinos Sfakianoudis; Evangelos Maziotis; Nikolaos Antoniou; Anna Rapani; George Anifandis; Panagiotis Bakas; Stamatis Bolaris; Agni Pantou; Konstantinos Pantos; Michael Koutsilieris
Journal:  J Assist Reprod Genet       Date:  2018-07-27       Impact factor: 3.412

6.  Euploid embryos selected by an automated time-lapse system have superior SET outcomes than selected solely by conventional morphology assessment.

Authors:  E Rocafort; M Enciso; A Leza; J Sarasa; J Aizpurua
Journal:  J Assist Reprod Genet       Date:  2018-07-20       Impact factor: 3.412

Review 7.  Microfluidic analysis of oocyte and embryo biomechanical properties to improve outcomes in assisted reproductive technologies.

Authors:  Livia Z Yanez; David B Camarillo
Journal:  Mol Hum Reprod       Date:  2017-04-01       Impact factor: 4.025

8.  Unaltered timing of embryo development in women with polycystic ovarian syndrome (PCOS): a time-lapse study.

Authors:  Linda Sundvall; Kirstine Kirkegaard; Hans Jakob Ingerslev; Ulla Breth Knudsen
Journal:  J Assist Reprod Genet       Date:  2015-05-01       Impact factor: 3.412

Review 9.  Chromosomal instability in mammalian pre-implantation embryos: potential causes, detection methods, and clinical consequences.

Authors:  Brittany L Daughtry; Shawn L Chavez
Journal:  Cell Tissue Res       Date:  2015-11-21       Impact factor: 5.249

10.  Time-lapse variables and embryo gender: a retrospective analysis of 81 live births obtained following minimal stimulation and single embryo transfer.

Authors:  Daniel Bodri; Satoshi Kawachiya; Takeshi Sugimoto; Jazmina Yao Serna; Ryutaro Kato; Tsunekazu Matsumoto
Journal:  J Assist Reprod Genet       Date:  2016-03-01       Impact factor: 3.412

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