Literature DB >> 25154014

A minimally invasive methodology based on morphometric parameters for day 2 embryo quality assessment.

Inmaculada Molina1, Elisa Lázaro-Ibáñez2, Jose Pertusa3, Ana Debón4, Juan Vicente Martínez-Sanchís5, Antonio Pellicer6.   

Abstract

The risk of multiple pregnancy to maternal-fetal health can be minimized by reducing the number of embryos transferred. New tools for selecting embryos with the highest implantation potential should be developed. The aim of this study was to evaluate the ability of morphological and morphometric variables to predict implantation by analysing images of embryos. This was a retrospective study of 135 embryo photographs from 112 IVF-ICSI cycles carried out between January and March 2011. The embryos were photographed immediately before transfer using Cronus 3 software. Their images were analysed using the public program ImageJ. Significant effects (P < 0.05), and higher discriminant power to predict implantation were observed for the morphometric embryo variables compared with morphological ones. The features for successfully implanted embryos were as follows: four cells on day 2 of development; all blastomeres with circular shape (roundness factor greater than 0.9), an average zona pellucida thickness of 13 µm and an average of 17695.1 µm² for the embryo area. Embryo size, which is described by its area and the average roundness factor for each cell, provides two objective variables to consider when predicting implantation. This approach should be further investigated for its potential ability to improve embryo scoring.
Copyright © 2014 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Image analysism embryo grading systems; Logit regression; Morphology; Morphometry; ROC curve

Mesh:

Year:  2014        PMID: 25154014     DOI: 10.1016/j.rbmo.2014.06.005

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


  3 in total

Review 1.  Application of microfluidic technologies to human assisted reproduction.

Authors:  Gary D Smith; Shuichi Takayama
Journal:  Mol Hum Reprod       Date:  2017-04-01       Impact factor: 4.025

2.  Maternal selenium-supplementation at various stages of periconception period: influence on murine blastocyst morphology and implantation status.

Authors:  Mark Anthony C Mamon; Gliceria B Ramos
Journal:  J Anim Sci Technol       Date:  2017-04-02

3.  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

  3 in total

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