Literature DB >> 24925309

Selection of embryos for transfer in IVF: ranking embryos based on their implantation potential using morphological scoring.

Laura van Loendersloot1, Madelon van Wely2, Fulco van der Veen2, Patrick Bossuyt3, Sjoerd Repping2.   

Abstract

The selection of embryos based on morphology is still the core of daily laboratory practice in IVF/intracytoplasmic sperm injection. At present, the selection of embryos is primarily based on experience and local protocols. Since an evidence-based ranking strategy for embryos on day 3 is currently lacking, this work constructed a multivariable prediction model to rank embryos according to their implantation potential. A total of 6021 fresh embryo transfers between January 2004 and July 2009 were included, eight potential predictive factors were evaluated and a prediction model was developed using multivariable logistic regression. The model was externally validated with data from couples treated between August 2009 and September 2011 in the same clinic. Five factors were included in the final prediction model: early cleavage, number of blastomeres on days 2 and 3 and morphological score and presence of morula on day 3. With validation, the model showed moderate discriminative capacity (c-statistic 0.70) and calibrated well and was able to distinguish embryos with high ongoing implantation potential from embryos with moderate or low ongoing implantation potential. The model can be used by embryologists as an objective tool to rank embryos according to implantation potential, thereby aiding the selection of embryos for transfer.
Copyright © 2014 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ICSI; IVF; embryo quality; embryo selection; implantation

Mesh:

Year:  2014        PMID: 24925309     DOI: 10.1016/j.rbmo.2014.04.016

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


  12 in total

1.  Does sperm origin affect embryo morphokinetic parameters?

Authors:  Jenna Lammers; Arnaud Reignier; Carole Splingart; Aurore Catteau; Laurent David; Paul Barriere; Thomas Freour
Journal:  J Assist Reprod Genet       Date:  2015-06-25       Impact factor: 3.412

2.  Correlation between morphokinetic parameters and standard morphological assessment: what can we predict from early embryo development? A time-lapse-based experiment with 2085 blastocysts.

Authors:  Catherine Jacobs; Mariana Nicolielo; Renata Erberelli; Fabiana Mendez; Marina Fanelli; Livia Cremonesi; Beatriz Aiello; Aline R Lorenzon
Journal:  JBRA Assist Reprod       Date:  2020-07-14

3.  Developmentally delayed cleavage-stage embryos maintain comparable implantation rates in frozen embryo transfers.

Authors:  Heather Burks; Jennifer Buckbinder; Mary Francis-Hernandez; Karine Chung; Sami Jabara; Kristin Bendikson; Richard Paulson
Journal:  J Assist Reprod Genet       Date:  2015-09-07       Impact factor: 3.412

Review 4.  Methods for assessing the quality of mammalian embryos: How far we are from the gold standard?

Authors:  José C Rocha; Felipe Passalia; Felipe D Matos; Marc P Maserati; Mayra F Alves; Tamie G de Almeida; Bruna L Cardoso; Andrea C Basso; Marcelo F G Nogueira
Journal:  JBRA Assist Reprod       Date:  2016-08-01

5.  High-quality human preimplantation embryos actively influence endometrial stromal cell migration.

Authors:  R P Berkhout; C B Lambalk; J Huirne; V Mijatovic; S Repping; G Hamer; S Mastenbroek
Journal:  J Assist Reprod Genet       Date:  2017-12-28       Impact factor: 3.412

6.  High-quality human preimplantation embryos stimulate endometrial stromal cell migration via secretion of microRNA hsa-miR-320a.

Authors:  Robbert P Berkhout; Remco Keijser; Sjoerd Repping; Cornelis B Lambalk; Gijs B Afink; Sebastiaan Mastenbroek; Geert Hamer
Journal:  Hum Reprod       Date:  2020-08-01       Impact factor: 6.918

7.  The addition of a low-quality embryo as part of a fresh day 3 double embryo transfer does not improve ongoing pregnancy rates.

Authors:  R P Berkhout; C G Vergouw; M van Wely; A A de Melker; R Schats; S Repping; G Hamer; S Mastenbroek; C B Lambalk
Journal:  Hum Reprod Open       Date:  2017-11-23

8.  A Preclinical Evaluation towards the Clinical Application of Oxygen Consumption Measurement by CERMs by a Mouse Chimera Model.

Authors:  Takashi Kuno; Masahito Tachibana; Ayako Fujimine-Sato; Misaki Fue; Keiko Higashi; Aiko Takahashi; Hiroki Kurosawa; Keisuke Nishio; Naomi Shiga; Zen Watanabe; Nobuo Yaegashi
Journal:  Int J Mol Sci       Date:  2019-11-12       Impact factor: 5.923

9.  MicroRNAs secreted by human embryos could be potential biomarkers for clinical outcomes of assisted reproductive technology.

Authors:  Fang Fang; Zili Li; Jiangyu Yu; Yuting Long; Qian Zhao; Xiaofang Ding; Li Wu; Shumin Shao; Ling Zhang; Wenpei Xiang
Journal:  J Adv Res       Date:  2021-01-11       Impact factor: 10.479

10.  Selecting the embryo with the highest implantation potential using a data mining based prediction model.

Authors:  Fang Chen; Diane De Neubourg; Sophie Debrock; Karen Peeraer; Thomas D'Hooghe; Carl Spiessens
Journal:  Reprod Biol Endocrinol       Date:  2016-03-03       Impact factor: 5.211

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