Literature DB >> 30963781

Time-lapse videography for embryo selection/de-selection: a bright future or fading star?

Yanhe Liu1,2, Denny Sakkas3, Masoud Afnan1, Phillip Matson2,4.   

Abstract

The recent clinical introduction of time-lapse videography into in vitro fertilization laboratories has offered a novel opportunity for embryologists to explore improved methods for embryo selection. While the concept of uninterrupted culture of embryos provided by such systems is welcomed, the current evidence does not support its full application in routine clinical practice. The issue of whether or not algorithms for embryo selection can be extrapolated between laboratories, which may represent a major hurdle to its wide application, is currently gaining increasing attention amongst embryologists worldwide. In this commentary issues identified in time-lapse embryo selection/de-selection algorithms, such as quantitative versus qualitative parameters, are discussed alongside the reference start point for the timing system, and types of datasets used for developing and validating time-lapse algorithms. Considering these factors, alternative future research directions which could potentially solve current issues are proposed.

Keywords:  Embryo selection; clinical embryology; embryo culture; embryo viability; in vitro fertilization; time-lapse videography

Mesh:

Year:  2019        PMID: 30963781     DOI: 10.1080/14647273.2019.1598586

Source DB:  PubMed          Journal:  Hum Fertil (Camb)        ISSN: 1464-7273            Impact factor:   2.767


  2 in total

1.  Between-laboratory reproducibility of time-lapse embryo selection using qualitative and quantitative parameters: a systematic review and meta-analysis.

Authors:  Yanhe Liu; Fang Qi; Phillip Matson; Dean E Morbeck; Ben W Mol; Sai Zhao; Masoud Afnan
Journal:  J Assist Reprod Genet       Date:  2020-05-02       Impact factor: 3.412

2.  A validated prediction score for having two or more embryos for cryopreservation following freeze-all IVF cycles: an analysis utilizing SART CORS database.

Authors:  Yetunde Ibrahim; Gregory J Stoddard; Erica Johnstone
Journal:  J Assist Reprod Genet       Date:  2020-11-25       Impact factor: 3.412

  2 in total

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