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Time-lapse parameters as predictors of blastocyst development and pregnancy outcome in embryos from good prognosis patients: a prospective cohort study

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TLDR
The results indicate that a universal algorithm for optimal timing of development might not be feasible and the apparent negative significance of division patterns that differ from the expected may imply that time-lapse will facilitate de-selection of embryos.
Abstract
STUDY QUESTION Do early time-lapse parameters predict which embryos will develop to high-quality blastocysts and does timing of development differ between embryos that implant and those that do not. SUMMARY ANSWER Development to high-quality blastocysts could be predicted within the first 48 h of culture, whereas time-lapse parameters could not predict pregnancy. WHAT IS KNOWN ALREADY Historical cohort studies on embryos from unselected groups of patients have suggested several putative kinetic markers of viability. Before well-designed randomized studies can be conducted, relevant selection models based on solid data must be developed. So far conclusions from the previous studies are ambiguous. STUDY DESIGN, SIZE, DURATION A prospective cohort study conducted from February 2011 to June 2012. A total of 571 ICSI embryos from 92 patients were included in the blastocyst development analysis and 84 single embryo transfers were included in the pregnancy outcome analysis. PARTICIPANTS/MATERIALS, SETTING, METHODS Embryos from women aged <38 years, with no endometriosis and ≥ 8 oocytes retrieved. University affiliated clinic. Embryos were cultured in a time-lapse incubator till Day 6. Logistic regression analysis was performed with variables selected based on indication. MAIN RESULTS AND THE ROLE OF CHANCE Duration of the first cytokinesis, duration of the 3-cell stage and direct cleavage to 3-cells predicted development to high-quality blastocyst. We found no difference in timing between implanted and non-implanted embryos. LIMITATIONS, REASONS FOR CAUTION A larger study might detect differences in timing between implanted and non-implanted embryos. The cohort consisted of good prognosis patients only and may not be representative of the entire IVF population. WIDER IMPLICATIONS OF THE FINDINGS Our results in context with the lack of consistency in previous studies and the presumed influences of different external factors indicate that a universal algorithm for optimal timing of development might not be feasible. The apparent negative significance of division patterns that differ from the expected may imply that time-lapse will facilitate de-selection of embryos. STUDY FUNDING/COMPETING INTEREST(S) Funding for the present study was provided by Aarhus University, the Lippert Foundation, the Toyota Foundation, the Aase og Einar Danielsen foundation and by an unrestricted grant from MSD and Ferring. The authors declare no conflict of interest. TRIAL REGISTRATION NUMBER The study was registered at ClinicalTrial.gov with accession number NCT01139268.

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Journal ArticleDOI

Clinical validation of embryo culture and selection by morphokinetic analysis: a randomized, controlled trial of the EmbryoScope

TL;DR: The strategy of culturing and selecting embryos in the integrated EmbryoScope time-lapse monitoring system improves reproductive outcomes.
Journal ArticleDOI

Correlation between aneuploidy, standard morphology evaluation and morphokinetic development in 1730 biopsied blastocysts: a consecutive case series study

TL;DR: Correlations were observed, in that euploid human blastocysts showed a higher percentage with top quality inner cell mass (ICM) and trophectoderm (TE), higher expansion grades and shorter time to start of blastulation, expansion and hatching, compared to aneuploid ones.
Journal ArticleDOI

The use of morphokinetics as a predictor of implantation: a multicentric study to define and validate an algorithm for embryo selection

TL;DR: Yes, morphokinetic markers can be used to select the embryos most likely to implant and the results were similar in different IVF clinics that share methods and organization to some extent.
Journal ArticleDOI

Does the addition of time-lapse morphokinetics in the selection of embryos for transfer improve pregnancy rates? A randomized controlled trial

TL;DR: The addition of time-lapse morphokinetic data did not significantly improve clinical reproductive outcomes in all patients and in those with blastocyst transfers, and absence of multinucleation, timing of blastulation, and Morphokinetic score were found to be associated with blastocytes implantation rates.
Journal ArticleDOI

Morphokinetic analysis and embryonic prediction for blastocyst formation through an integrated time-lapse system.

TL;DR: Two multivariable models are proposed based on the findings to classify embryos according to their probabilities of blastocyst stage and implantation in the largest data set ever reported of human blastocysts.
References
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Journal ArticleDOI

The use of morphokinetics as a predictor of embryo implantation

TL;DR: A multivariable model is proposed based on the findings to classify embryos according to their probability of implantation and it is proposed that the image acquisition and time-lapse analysis system makes it possible to determine exact timing of embryo cleavages in a clinical setting.
Journal ArticleDOI

Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage

TL;DR: It is found that success in progression to the blastocyst stage can be predicted with >93% sensitivity and specificity by measuring three dynamic, noninvasive imaging parameters by day 2 after fertilization, before embryonic genome activation (EGA).
Journal ArticleDOI

In vitro fertilization with preimplantation genetic screening.

TL;DR: Preimplantation genetic screening did not increase but instead significantly reduced the rates of ongoing pregnancies and live births after IVF in women of advanced maternal age.
Journal ArticleDOI

The cumulative embryo score: a predictive embryo scoring technique to select the optimal number of embryos to transfer in an in-vitro fertilization and embryo transfer programme.

TL;DR: An analysis of all IVF pregnancies showed that the multiple pregnancy rate continued to rise above a CES of 42, and by restricting the CES per embryo transfer to 42, 78% of triplet pregnancies and 100% of the quadruplet IVf pregnancies could have been predicted and potentially avoided.
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