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

  • Alison Campbell
  • , Simon Fishel
  • , Natalie Bowman
  • , Samantha Duffy
  • , Mark Sedler
  • , Cristina Fontes Lindemann Hickman
  • CARE Fertility
  • CARE Fertility
  • Trinidad and Tobago IVF and Fertility Center

Research output: Contribution to journalArticlepeer-review

338 Scopus citations

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 110.9 hpi, 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 95.1 hpi). 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.

Original languageEnglish
Pages (from-to)477-485
Number of pages9
JournalReproductive BioMedicine Online
Volume26
Issue number5
DOIs
StatePublished - 2013

Keywords

  • aneuploid
  • embryo
  • EmbryoScope
  • morphokinetics
  • PGS
  • time-lapse monitoring

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