Literature DB >> 21782515

Computer-assisted embryo selection: a benefit in the evaluation of embryo quality?

Goedele Paternot1, Sophie Debrock, Thomas D'Hooghe, Carl Spiessens.   

Abstract

Embryo selection is based on embryo developmental and morphological characteristics. Standard embryo evaluation has some disadvantages. New technology using multilevel images combined with a computer-assisted scoring system (CASS) has the potential to overcome these disadvantages. The aim of this study was to compare the value of a computer-assisted scoring system (CASS) versus a standard scoring system (SSS) in predicting implantation and live birth. This prospective study included 3185 embryos obtained during 502IVF/intracytoplasmic sperm injection cycles with single-embryo transfer on day 3. Embryos were evaluated with two scoring systems: SSS and CASS. Logistic regression analyses were performed using implantation and live birth as outcomes. According to multiple regression analysis, implantation was influenced by number and size of blastomeres on day 3 using CASS and by all embryo parameters on day 3 using SSS. Combined analysis of both scoring systems revealed that implantation was affected by number and size of blastomeres using CASS and by the degree of embryo fragmentation using SSS. Using live birth as outcome, only the number of blastomeres on day 3, evaluated by SSS and CASS, was predictive. Prediction of implantation and live birth may be superior using CASS when compared with SSS. Embryo selection is currently based on embryo developmental and morphological characteristics of an embryo using a standard scoring system. This evaluation system is limited by a number of disadvantages. New technology using multilevel images combined with a computer-assisted scoring system has the potential to overcome these disadvantages. The aim of this study was to compare the value of such computer-assisted scoring system versus a standard scoring system in predicting implantation and live birth rate. This study included 3185 embryos obtained during 502 IVF or intracytoplasmic sperm injection cycles with single-embryo transfer on day 3. All the embryos were evaluated with two types of scoring systems: a standard scoring system and a computer-assisted scoring system. According to the statistical analysis, the implantation of an embryo was influenced by the number and size of blastomeres on day 3 when evaluated with the computer-assisted scoring system, and by all embryo parameters on day 3 using the standard scoring system. Combined analysis of both scoring systems revealed that implantation was affected by number and size of blastomeres using the computer-assisted scoring system and by the degree of embryo fragmentation using the standard scoring system. Live birth was influenced by the number of blastomeres on day 3 evaluated by both scoring systems. Prediction of embryo implantation and live birth was superior using the computer-assisted scoring system. In conclusion, a computer-assisted scoring system may be superior to a standard scoring system in the prediction of implantation and live birth.
Copyright © 2011 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21782515     DOI: 10.1016/j.rbmo.2011.05.007

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


  11 in total

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Journal:  J Assist Reprod Genet       Date:  2018-07-27       Impact factor: 3.412

2.  The association of the blastomere volume index (BVI), the blastomere symmetry index (BSI) and the mean ovality (MO) with ongoing implantation after single embryo transfer.

Authors:  Carlijn G Vergouw; Mays Al Nofal; E Hanna Kostelijk; Hans Rooth; Peter G A Hompes; Roel Schats; Cornelis B Lambalk
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3.  Using the Eeva Test™ adjunctively to traditional day 3 morphology is informative for consistent embryo assessment within a panel of embryologists with diverse experience.

Authors:  Michael P Diamond; Vaishali Suraj; Erica J Behnke; Xinli Yang; Marlane J Angle; Jaclyn C Lambe-Steinmiller; Rachel Watterson; Kelly Athayde Wirka; Alice A Chen; Shehua Shen
Journal:  J Assist Reprod Genet       Date:  2014-10-21       Impact factor: 3.412

4.  A predictive model for high-quality blastocyst based on blastomere number, fragmentation, and symmetry.

Authors:  Cheng-He Yu; Ruo-Peng Zhang; Juan Li; Zhou-Cun A
Journal:  J Assist Reprod Genet       Date:  2018-03-03       Impact factor: 3.412

5.  Using the Society for Assisted Reproductive Technology Clinic Outcome System morphological measures to predict live birth after assisted reproductive technology.

Authors:  Barbara Luke; Morton B Brown; Judy E Stern; Sangita K Jindal; Catherine Racowsky; G David Ball
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6.  Effect of embryo morphology and morphometrics on implantation of vitrified day 3 embryos after warming: a retrospective cohort study.

Authors:  Elia Fernandez Gallardo; Carl Spiessens; Thomas D'Hooghe; Sophie Debrock
Journal:  Reprod Biol Endocrinol       Date:  2016-07-30       Impact factor: 5.211

7.  Blastocyst score, a blastocyst quality ranking tool, is a predictor of blastocyst ploidy and implantation potential.

Authors:  Qiansheng Zhan; E T Sierra; Jonas Malmsten; Zhen Ye; Zev Rosenwaks; Nikica Zaninovic
Journal:  F S Rep       Date:  2020-09-28

8.  Is there a link between blastomere contact surfaces of day 3 embryos and live birth rate?

Authors:  Goedele Paternot; Mathias Spiessens; Dimitri Verstreken; Johan Van Bauwel; Sophie Debrock; Thomas D'Hooghe; Carl Spiessens
Journal:  Reprod Biol Endocrinol       Date:  2012-09-10       Impact factor: 5.211

9.  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

10.  Effect of day 3 embryo morphometrics and morphokinetics on survival and implantation after slow freezing-thawing and after vitrification-warming: a retrospective cohort study.

Authors:  Elia Fernandez Gallardo; Carl Spiessens; Thomas D'Hooghe; Sophie Debrock
Journal:  Reprod Biol Endocrinol       Date:  2017-10-03       Impact factor: 5.211

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