Literature DB >> 23721712

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

Joe Conaghan1, 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.   

Abstract

OBJECTIVE: To assess the first computer-automated platform for time-lapse image analysis and blastocyst prediction and to determine how the screening information may assist embryologists in day 3 (D3) embryo selection.
DESIGN: Prospective, multicenter, cohort study.
SETTING: Five IVF clinics in the United States. PATIENT(S): One hundred sixty women ≥ 18 years of age undergoing fresh IVF treatment with basal antral follicle count ≥ 8, basal FSH <10 IU/mL, and ≥ 8 normally fertilized oocytes. INTERVENTION(S): A noninvasive test combining time-lapse image analysis with the cell-tracking software, Eeva (Early Embryo Viability Assessment), was used to measure early embryo development and generate usable blastocyst predictions by D3. MAIN OUTCOME MEASURE(S): Improvement in the ability of experienced embryologists to select which embryos are likely to develop to usable blastocysts using D3 morphology alone, compared with morphology plus Eeva. RESULT(S): Experienced embryologists using Eeva in combination with D3 morphology significantly improved their ability to identify embryos that would reach the usable blastocyst stage (specificity for each of three embryologists using morphology vs. morphology plus Eeva: 59.7% vs. 86.3%, 41.9% vs. 84.0%, 79.5% vs. 86.6%). Adjunctive use of morphology plus Eeva improved embryo selection by enabling embryologists to better discriminate which embryos would be unlikely to develop to blastocyst and was particularly beneficial for improving selection among good-morphology embryos. Adjunctive use of morphology plus Eeva also reduced interindividual variability in embryo selection. CONCLUSION(S): Previous studies have shown improved implantation rates for blastocyst transfer compared with cleavage-stage transfer. Addition of Eeva to the current embryo grading process may improve the success rates of cleavage-stage ETs.
Copyright © 2013 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Embryo selection; cell division; image analysis; noninvasive assessment; time-lapse imaging

Mesh:

Year:  2013        PMID: 23721712     DOI: 10.1016/j.fertnstert.2013.04.021

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  69 in total

1.  The impact of paternal factors on cleavage stage and blastocyst development analyzed by time-lapse imaging-a retrospective observational study.

Authors:  Anton Neyer; Martin Zintz; Astrid Stecher; Magnus Bach; Barbara Wirleitner; Nicolas H Zech; Pierre Vanderzwalmen
Journal:  J Assist Reprod Genet       Date:  2015-08-19       Impact factor: 3.412

2.  Abnormally cleaving embryos are able to produce live births: a time-lapse study.

Authors:  Yan Ling Fan; Shu Biao Han; Li Hong Wu; Ya Ping Wang; Guo Ning Huang
Journal:  J Assist Reprod Genet       Date:  2016-01-09       Impact factor: 3.412

3.  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

4.  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

5.  Time-lapse systems for embryo incubation and assessment in assisted reproduction.

Authors:  Sarah Armstrong; Priya Bhide; Vanessa Jordan; Allan Pacey; Jane Marjoribanks; Cindy Farquhar
Journal:  Cochrane Database Syst Rev       Date:  2019-05-29

6.  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

7.  Selection of human blastocysts with a high implantation potential based on timely compaction.

Authors:  Yamato Mizobe; Yuji Ezono; Makoto Tokunaga; Naoto Oya; Reiko Iwakiri; Naomi Yoshida; Yumi Sato; Nanase Onoue; Kazuchika Miyoshi
Journal:  J Assist Reprod Genet       Date:  2017-06-01       Impact factor: 3.412

8.  Selecting embryos with the highest implantation potential using data mining and decision tree based on classical embryo morphology and morphokinetics.

Authors:  Beatriz Carrasco; Gemma Arroyo; Yolanda Gil; Mª José Gómez; Ignacio Rodríguez; Pedro N Barri; Anna Veiga; Montserrat Boada
Journal:  J Assist Reprod Genet       Date:  2017-06-01       Impact factor: 3.412

Review 9.  Review and recap of the Midwest Reproductive Symposium International: learning tool for continuing medical education for reproductive endocrinologists, geneticists, embryologists, mental health, and other infertility providers.

Authors:  Roohi Jeelani; Gretchen G Collins; Angeline Beltsos; William G Kearns
Journal:  J Assist Reprod Genet       Date:  2018-09-27       Impact factor: 3.412

Review 10.  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

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