Milewski Robert, Ajduk Anna
Department of Statistics and Medical InformaticsMedical University of Bialystok, Bialystok, Poland
Department of EmbryologyFaculty of Biology, University of Warsaw, Warsaw, Poland
Reproduction. 2017 Aug;154(2):R37-R53. doi: 10.1530/REP-17-0004. Epub 2017 Apr 13.
fertilization (IVF) is one of the most important procedures for treating infertility. As several embryos are usually produced in a single IVF cycle, it is crucial to select only the most viable ones for transfer to the patient. Morphokinetics, i.e. analysis of the dynamics of cleavage divisions and processes such as compaction and cavitation, has provided both biologists and clinicians with a new set of data regarding embryonic behaviour during preimplantation development and its association with embryo quality. In the current review, we focus on biological significance of morphokinetic parameters and show how they can be used to predict a reproductive outcome. We also explain the statistics behind the predictive algorithms and discuss the future perspectives of morphokinetics.
体外受精（IVF）是治疗不孕症最重要的方法之一。由于在单个IVF周期中通常会产生多个胚胎，因此仅选择最具活力的胚胎移植给患者至关重要。胚胎动力学，即对卵裂分裂以及致密化和空化等过程的动力学分析，为生物学家和临床医生提供了一组关于植入前发育期间胚胎行为及其与胚胎质量关系的新数据。在本综述中，我们重点关注胚胎动力学参数的生物学意义，并展示它们如何用于预测生殖结果。我们还解释了预测算法背后的统计学原理，并讨论了胚胎动力学的未来前景。
