Literature DB >> 24135156

Is morphokinetic analysis the answer?

B Aparicio1, M Cruz, M Meseguer.   

Abstract

Efforts aimed at improving pregnancy rates have focused on the search for additional markers of viability to supplement current criteria for embryo selection. Time-lapse technology represents a powerful tool in assisted reproduction for evaluating embryos dynamically. Whilst standard methods of embryo assessment are based on subjective morphology evaluation at discrete time points, thereby limiting the information produced for embryo selection, time-lapse recording introduces several additional morphokinetic parameters for embryo evaluation. This additional information can improve implantation rates and reproductive outcomes. This review surveys available knowledge on time-lapse imaging to provide an overview of the advantages and applications of this technology.
Copyright © 2013. Published by Elsevier Ltd.

Keywords:  assisted reproduction; cleavage; embryo; exact timing; morphokinetic parameters; time lapse

Mesh:

Year:  2013        PMID: 24135156     DOI: 10.1016/j.rbmo.2013.07.017

Source DB:  PubMed          Journal:  Reprod Biomed Online        ISSN: 1472-6483            Impact factor:   3.828


  10 in total

1.  Public health implications of a North American publicly funded in vitro fertilization program; lessons to learn.

Authors:  Talya Shaulov; Serge Belisle; Michael H Dahan
Journal:  J Assist Reprod Genet       Date:  2015-07-14       Impact factor: 3.412

2.  The association between coenzyme Q10 concentrations in follicular fluid with embryo morphokinetics and pregnancy rate in assisted reproductive techniques.

Authors:  Süleyman Akarsu; Funda Gode; Ahmet Zeki Isik; Zeliha Günnur Dikmen; Mustafa Agah Tekindal
Journal:  J Assist Reprod Genet       Date:  2017-02-09       Impact factor: 3.412

3.  Computer-automated time-lapse analysis results correlate with embryo implantation and clinical pregnancy: a blinded, multi-centre study.

Authors:  Matthew D VerMilyea; Lei Tan; Joshua T Anthony; Joe Conaghan; Kristen Ivani; Marina Gvakharia; Robert Boostanfar; Valerie L Baker; Vaishali Suraj; Alice A Chen; Monica Mainigi; Christos Coutifaris; Shehua Shen
Journal:  Reprod Biomed Online       Date:  2014-09-21       Impact factor: 3.828

4.  Morphokinetic parameters of early embryo development via time lapse monitoring and their effect on embryo selection and ICSI outcomes: a prospective cohort study.

Authors:  Charalampos Siristatidis; Maria Aggeliki Komitopoulou; Andreas Makris; Afrodite Sialakouma; Mitrodora Botzaki; George Mastorakos; George Salamalekis; Stefano Bettocchi; Giles Anthony Palmer
Journal:  J Assist Reprod Genet       Date:  2015-01-24       Impact factor: 3.412

5.  The Importance of the Study of the Embryonic Metabolome in Assisted Human Reproduction.

Authors:  Victor C P S Nascimento; Anderson S Melo; Thalita S Berteli; Ana K Bartmann
Journal:  JBRA Assist Reprod       Date:  2014-12-27

6.  Comparison of the development of human embryos cultured in either an EmbryoScope or benchtop incubator.

Authors:  R Sciorio; J K Thong; S J Pickering
Journal:  J Assist Reprod Genet       Date:  2017-12-15       Impact factor: 3.412

Review 7.  Role of microRNAs in embryo implantation.

Authors:  Jingjie Liang; Shaoyu Wang; Zhengguang Wang
Journal:  Reprod Biol Endocrinol       Date:  2017-11-21       Impact factor: 5.211

8.  Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.

Authors:  Bo Huang; Shunyuan Zheng; Bingxin Ma; Yongle Yang; Shengping Zhang; Lei Jin
Journal:  BMC Pregnancy Childbirth       Date:  2022-01-16       Impact factor: 3.007

9.  Embryonic Development in Relation to Maternal Obesity Does Not Affect Pregnancy Outcomes in FET Cycles.

Authors:  Adham Fawarseh; Yuval Atzmon; Nardin Aslih; Asaf Bilgory; Einat Shalom-Paz
Journal:  Healthcare (Basel)       Date:  2022-04-10

10.  Do morphokinetic data sets inform pregnancy potential?

Authors:  Robert Milewski; Anna Justyna Milewska; Agnieszka Kuczyńska; Bożena Stankiewicz; Waldemar Kuczyński
Journal:  J Assist Reprod Genet       Date:  2016-02-03       Impact factor: 3.412

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.