Literature DB >> 24912418

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

Kirstine Kirkegaard1, Alison Campbell2, Inge Agerholm3, Ursula Bentin-Ley4, Anette Gabrielsen5, John Kirk6, Shabana Sayed7, Hans Jakob Ingerslev8.   

Abstract

The goal of embryo selection models is to select embryos with the highest reproductive potential, whilst minimizing the rejection of viable embryos. Ultimately, any embryo selection model must be tested on clinical outcome. We therefore retrospectively tested a published blastocyst prediction model on a large combined set of transferred embryos with known clinical outcome. The model was somewhat effective in that we found a relative increase of 30% for implantation in the model-selected group of embryos. There was, however, a concomitant large rejection of embryos from our test cohort, which actually resulted in pregnancy. This hypothetical experiment highlights the limitations of predicting blastulation only. Crucially, it illustrates that both sensitivity and specificity are important parameters when developing embryo selection models for prospective clinical use.
Copyright © 2014 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  assisted reproduction; embryo selection; prediction model; time lapse

Mesh:

Year:  2014        PMID: 24912418     DOI: 10.1016/j.rbmo.2014.04.011

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


  18 in total

1.  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

2.  Trends, fads and ART!

Authors:  Brian Dale; Yves Menezo; Gianfranco Coppola
Journal:  J Assist Reprod Genet       Date:  2015-01-06       Impact factor: 3.412

Review 3.  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

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

Authors:  Matthew D VerMilyea; Lei Tan; Joshua T Anthony; Joe Conaghan; Kristen Ivani; Marina Gvakharia; Robert Boostanfar; Valerie L Baker; Vaishali Suraj; Alice A Chen; Monica Mainigi; Christos Coutifaris; Shehua Shen
Journal:  Reprod Biomed Online       Date:  2014-09-21       Impact factor: 3.828

Review 5.  Pathology of hyperandrogenemia in the oocyte of polycystic ovary syndrome.

Authors:  Neil R Chappell; William E Gibbons; Chellakkan S Blesson
Journal:  Steroids       Date:  2022-02-18       Impact factor: 2.668

6.  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

7.  Fertility technologies and how to optimize laboratory performance to support the shortening of time to birth of a healthy singleton: a Delphi consensus.

Authors:  Giovanni Coticchio; Barry Behr; Alison Campbell; Marcos Meseguer; Dean E Morbeck; Valerio Pisaturo; Carlos E Plancha; Denny Sakkas; Yanwen Xu; Thomas D'Hooghe; Evelyn Cottell; Kersti Lundin
Journal:  J Assist Reprod Genet       Date:  2021-02-18       Impact factor: 3.412

8.  Embryo morphokinetic score is associated with biomarkers of developmental competence and implantation.

Authors:  Giovanni Coticchio; Francesca Pennetta; Roberta Rizzo; Nicoletta Tarozzi; Marco Nadalini; Giovanna Orlando; Chiara Centonze; Giorgia Gioacchini; Andrea Borini
Journal:  J Assist Reprod Genet       Date:  2021-04-05       Impact factor: 3.357

9.  Relative kinetic expressions defining cleavage synchronicity are better predictors of blastocyst formation and quality than absolute time points.

Authors:  Murat Cetinkaya; Caroline Pirkevi; Hakan Yelke; Yesim Kumtepe Colakoglu; Zafer Atayurt; Semra Kahraman
Journal:  J Assist Reprod Genet       Date:  2014-11-05       Impact factor: 3.412

10.  Development of a generally applicable morphokinetic algorithm capable of predicting the implantation potential of embryos transferred on Day 3.

Authors:  Bjørn Molt Petersen; Mikkel Boel; Markus Montag; David K Gardner
Journal:  Hum Reprod       Date:  2016-09-08       Impact factor: 6.918

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