Literature DB >> 23518033

Modelling a risk classification of aneuploidy in human embryos using non-invasive morphokinetics.

Alison Campbell1, Simon Fishel, Natalie Bowman, Samantha Duffy, Mark Sedler, Cristina Fontes Lindemann Hickman.   

Abstract

This study determined whether morphokinetic variables between aneuploid and euploid embryos differ as a potential aid to select euploid embryos for transfer. Following insemination, EmbryoScope time-lapse images from 98 blastocysts were collected and analysed blinded to ploidy. The morphokinetic variables were retrospectively compared with ploidy, which was determined following trophectoderm biopsy and analysis by array comparative genomic hybridization or single-nucleotide polymorphic array. Multiple aneuploid embryos were delayed at the initiation of compaction (tSC; median 85.1 hours post insemination (hpi); P=0.02) and the time to reach full blastocyst stage (tB; median 110.9hpi, P=0.01) compared with euploid embryos (tSC median 79.7 hpi, tB median 105.9 hpi). Embryos having single or multiple aneuploidy (median 103.4 hpi, P=0.004 and 101.9 hpi, P=0.006, respectively) had delayed initiation of blastulation compared with euploid embryos (median 95.1hpi). No significant differences were observed in first or second cell-cycle length, synchrony of the second or third cell cycles, duration of blastulation, multinucleation at the 2-cell stage and irregular division patterns between euploid and aneuploid embryos. This non-invasive model for ploidy classification may be used to avoid selecting embryos with high risk of aneuploidy while selecting those with reduced risk.
Copyright © 2013 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23518033     DOI: 10.1016/j.rbmo.2013.02.006

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


  80 in total

1.  The impact of paternal factors on cleavage stage and blastocyst development analyzed by time-lapse imaging-a retrospective observational study.

Authors:  Anton Neyer; Martin Zintz; Astrid Stecher; Magnus Bach; Barbara Wirleitner; Nicolas H Zech; Pierre Vanderzwalmen
Journal:  J Assist Reprod Genet       Date:  2015-08-19       Impact factor: 3.412

2.  Unbalanced human embryos secrete more hyperglycosylated human chorionic gonadotrophin (hCG-H) than balanced ones.

Authors:  Dimitar Parvanov; Dragomira Nikolova; Rumiana Ganeva; Kristina Nikolova; Magdalena Vasileva; Ivaylo Rangelov; Maria Pancheva; Maria Serafimova; Rada Staneva; Savina Hadjidekova; Fabio Scarpellini; Georgi Stamenov
Journal:  J Assist Reprod Genet       Date:  2020-04-22       Impact factor: 3.412

3.  Preimplantation Genetic Diagnosis (PGD) for Monogenic Disorders: the Value of Concurrent Aneuploidy Screening.

Authors:  Kara N Goldman; Taraneh Nazem; Alan Berkeley; Steven Palter; Jamie A Grifo
Journal:  J Genet Couns       Date:  2016-06-09       Impact factor: 2.537

4.  Morphokinetic analysis of cleavage stage embryos and its relationship to aneuploidy in a retrospective time-lapse imaging study.

Authors:  Monika Chawla; Michael Fakih; Amal Shunnar; Asina Bayram; Ali Hellani; Vanamail Perumal; Jayprakash Divakaran; Erdal Budak
Journal:  J Assist Reprod Genet       Date:  2014-11-14       Impact factor: 3.412

5.  Selecting embryos with the highest implantation potential using data mining and decision tree based on classical embryo morphology and morphokinetics.

Authors:  Beatriz Carrasco; Gemma Arroyo; Yolanda Gil; Mª José Gómez; Ignacio Rodríguez; Pedro N Barri; Anna Veiga; Montserrat Boada
Journal:  J Assist Reprod Genet       Date:  2017-06-01       Impact factor: 3.412

Review 6.  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

7.  A comparison of morphokinetic markers predicting blastocyst formation and implantation potential from two large clinical data sets.

Authors:  N Zaninovic; M Nohales; Q Zhan; Z M J de Los Santos; J Sierra; Z Rosenwaks; M Meseguer
Journal:  J Assist Reprod Genet       Date:  2019-01-22       Impact factor: 3.412

8.  An integrated investigation of oocyte developmental competence: expression of key genes in human cumulus cells, morphokinetics of early divisions, blastulation, and euploidy.

Authors:  C Scarica; D Cimadomo; L Dovere; A Giancani; M Stoppa; A Capalbo; F M Ubaldi; L Rienzi; R Canipari
Journal:  J Assist Reprod Genet       Date:  2019-02-01       Impact factor: 3.412

9.  Association between growth dynamics, morphological parameters, the chromosomal status of the blastocysts, and clinical outcomes in IVF PGS cycles with single embryo transfer.

Authors:  Oleksii O Barash; Kristen A Ivani; Susan P Willman; Evan M Rosenbluth; Deborah S Wachs; Mary D Hinckley; Sara Pittenger Reid; Louis N Weckstein
Journal:  J Assist Reprod Genet       Date:  2017-05-30       Impact factor: 3.412

10.  Assessing morphokinetic parameters via time lapse microscopy (TLM) to predict euploidy: are aneuploidy risk classification models universal?

Authors:  Yael G Kramer; Jason D Kofinas; Katherine Melzer; Nicole Noyes; Caroline McCaffrey; Julia Buldo-Licciardi; David H McCulloh; James A Grifo
Journal:  J Assist Reprod Genet       Date:  2014-06-25       Impact factor: 3.412

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