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Published in: Journal of Assisted Reproduction and Genetics 9/2014

01-09-2014 | Embryo Biology

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

Published in: Journal of Assisted Reproduction and Genetics | Issue 9/2014

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Abstract

Purpose

To determine if Aneuploidy Risk Classification Models are predictive of euploidy/aneuploidy amongst IVF facilities.

Methods

We retrospectively applied key time lapse imaging events of embryos (Campbell et al.[5, 6]) to stratify embryos into 3 groups: low, medium and high risk of aneuploidy. The actual ploidy results (from array comparative genomic hybridization) were compared with expectations [5, 6]. Sources of variability in morphokinetic parameters were determined using Analysis of Variance (ANOVA).

Results

The model failed to segregate euploid embryos from aneuploid embryos cultured at our facility. Further analysis indicated that the variability of embryos among patients was too great to allow selection of euploid embryos based on simple morphokinetic thresholds. Clinical selection of embryos based on morphokinetics alone is unlikely to identify euploid embryos accurately for transfer or yield higher rates of live delivery.

Conclusions

The use of non-invasive morphokinetics is unlikely to discriminate aneuploid from euploid embryos. Further, it does not approach the accuracy of preimplantation genetic screening with array comparative genomic hybridization.
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Metadata
Title
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
Publication date
01-09-2014
Publisher
Springer US
Published in
Journal of Assisted Reproduction and Genetics / Issue 9/2014
Print ISSN: 1058-0468
Electronic ISSN: 1573-7330
DOI
https://doi.org/10.1007/s10815-014-0285-1

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