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Erschienen in: Journal of Assisted Reproduction and Genetics 8/2017

01.06.2017 | Embryo Biology

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

verfasst von: Yamato Mizobe, Yuji Ezono, Makoto Tokunaga, Naoto Oya, Reiko Iwakiri, Naomi Yoshida, Yumi Sato, Nanase Onoue, Kazuchika Miyoshi

Erschienen in: Journal of Assisted Reproduction and Genetics | Ausgabe 8/2017

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Abstract

Purpose

Recently, we established a noninvasive system for selecting human blastocysts with a high pre-transfer implantation potential based on first and second division patterns. The present study was carried out to improve the selection system.

Methods

Embryos that completed first and second divisions within 25.90 and 37.88 h after culture, respectively, were selected using a time-lapse incubator. We examined the effects of compaction and blastocyst formation times on pregnancy rates after transferring these embryos at the blastocyst stage.

Results

The completion of compaction and blastocyst formation times (79.93 and 97.47 h after culture, respectively) of embryos resulting in pregnancies after transfer were significantly (P < 0.01) shorter than those (86.46 and 100.34 h after culture, respectively) of embryos that failed to induce pregnancies. Embryo selection based on completion of compaction time improved pregnancy rates (40.9 vs. 74.6%, P < 0.01).

Conclusions

Of the embryos that formed two cells during the first division within 25.90 h after culture and four cells during the second division within 37.88 h after culture, those that completed compaction within 79.93 h after culture before reaching the blastocyst stage had a high implantation potential.
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Metadaten
Titel
Selection of human blastocysts with a high implantation potential based on timely compaction
verfasst von
Yamato Mizobe
Yuji Ezono
Makoto Tokunaga
Naoto Oya
Reiko Iwakiri
Naomi Yoshida
Yumi Sato
Nanase Onoue
Kazuchika Miyoshi
Publikationsdatum
01.06.2017
Verlag
Springer US
Erschienen in
Journal of Assisted Reproduction and Genetics / Ausgabe 8/2017
Print ISSN: 1058-0468
Elektronische ISSN: 1573-7330
DOI
https://doi.org/10.1007/s10815-017-0962-y

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