Literature DB >> 23900207

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

K Kirkegaard1, U S Kesmodel, J J Hindkjær, H J Ingerslev.   

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.

Entities:  

Keywords:  assisted reproduction; blastocyst development; human; pregnancy; time-lapse

Mesh:

Year:  2013        PMID: 23900207     DOI: 10.1093/humrep/det300

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  54 in total

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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.  Morphokinetic Evaluation of Embryo Development in a Mouse Model: Functional and Molecular Correlates.

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3.  A critical appraisal of time-lapse imaging for embryo selection: where are we and where do we need to go?

Authors:  Catherine Racowsky; Peter Kovacs; Wellington P Martins
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4.  Trends, fads and ART!

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5.  Morphokinetic parameters using time-lapse technology and day 5 embryo quality: a prospective cohort study.

Authors:  Ashleigh Storr; Christos A Venetis; Simon Cooke; Daisy Susetio; Suha Kilani; William Ledger
Journal:  J Assist Reprod Genet       Date:  2015-07-15       Impact factor: 3.412

6.  Is early embryo development as observed by time-lapse microscopy dependent on whether fresh or frozen sperm was used for ICSI? A cohort study.

Authors:  Jessica Eastick; Christos Venetis; Simon Cooke; Ashleigh Storr; Daisy Susetio; Michael Chapman
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7.  National survey on use of time-lapse imaging systems in IVF laboratories.

Authors:  Andrey V Dolinko; L V Farland; D J Kaser; S A Missmer; C Racowsky
Journal:  J Assist Reprod Genet       Date:  2017-06-10       Impact factor: 3.412

8.  Selection of human blastocysts with a high implantation potential based on timely compaction.

Authors:  Yamato Mizobe; Yuji Ezono; Makoto Tokunaga; Naoto Oya; Reiko Iwakiri; Naomi Yoshida; Yumi Sato; Nanase Onoue; Kazuchika Miyoshi
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9.  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

10.  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

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