Literature DB >> 29714056

Selection of preimplantation embryos using time-lapse microscopy in in vitro fertilization: State of the technology and future directions.

Belén Aparicio-Ruiz1, Laura Romany1, Marcos Meseguer1.   

Abstract

In this review, our aim is to give an overview of the state of the technology and clinical outcomes of time-lapse microscopy in improving embryo selection as a key step in in vitro fertilization (IVF). Using traditional incubators, morphologic assessment of the fertilized embryos is limited to snapshots at a few discrete points in time, reducing the amount of information that could potentially be obtained. Time-lapse monitoring overcomes this limitation without exposing the embryos to environmental changes. Moreover, time-lapse may introduce new dynamic markers of embryo competence as well as a versatile embryo evaluation and provides novel information regarding human embryo development. In the last few years, various algorithms have been developed correlating the kinetics of early embryo development to blastocyst formation, implantation potential, chromosomal content and live birth rate. There is not yet a universally accepted algorithm, and significant knowledge gaps remain that can provide opportunities for further research in this field.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  IVF; algorithms; implantation; morphokinetics; time-lapse

Mesh:

Year:  2018        PMID: 29714056     DOI: 10.1002/bdr2.1226

Source DB:  PubMed          Journal:  Birth Defects Res            Impact factor:   2.344


  7 in total

1.  The effect of maternal high-fat/high-sugar diet on offspring oocytes and early embryo development.

Authors:  E Andreas; M Reid; W Zhang; K H Moley
Journal:  Mol Hum Reprod       Date:  2019-11-30       Impact factor: 4.025

Review 2.  Review of computer vision application in in vitro fertilization: the application of deep learning-based computer vision technology in the world of IVF.

Authors:  Claudio Michael Louis; Alva Erwin; Nining Handayani; Arie A Polim; Arief Boediono; Ivan Sini
Journal:  J Assist Reprod Genet       Date:  2021-04-03       Impact factor: 3.357

3.  Early prediction of live birth for assisted reproductive technology patients: a convenient and practical prediction model.

Authors:  Hong Gao; Dong-E Liu; Yumei Li; Xinrui Wu; Hongzhuan Tan
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

4.  Pseudo contrastive labeling for predicting IVF embryo developmental potential.

Authors:  I Erlich; A Ben-Meir; I Har-Vardi; J Grifo; F Wang; C Mccaffrey; D McCulloh; Y Or; L Wolf
Journal:  Sci Rep       Date:  2022-02-15       Impact factor: 4.379

5.  Marginal differences in preimplantation morphokinetics between conventional IVF and ICSI in patients with preimplantation genetic testing for aneuploidy (PGT-A): A sibling oocyte study.

Authors:  Neelke De Munck; Aşina Bayram; Ibrahim Elkhatib; Andrea Abdala; Ahmed El-Damen; Ana Arnanz; Laura Melado; Barbara Lawrenz; Human Mousavi Fatemi
Journal:  PLoS One       Date:  2022-04-25       Impact factor: 3.752

6.  Can We Prepare IVF Culture Media Two Days Before Ovum Pick up Without Affecting Embryological Parameters? A Retrospective Case-Matched Study.

Authors:  Alessio Paffoni; Elisabetta Ballabio; Sabrina Cesana; Stefania Ferrari; Hilda Wyssling; Marco Claudio Bianchi
Journal:  J Reprod Infertil       Date:  2019 Oct-Dec

Review 7.  Mining of variables from embryo morphokinetics, blastocyst's morphology and patient parameters: an approach to predict the live birth in the assisted reproduction service.

Authors:  Dóris Spinosa Chéles; Eloiza Adriane Dal Molin; José Celso Rocha; Marcelo Fábio Gouveia Nogueira
Journal:  JBRA Assist Reprod       Date:  2020-10-06
  7 in total

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