Literature DB >> 28712646

Live births after embryo selection using morphokinetics versus conventional morphology: a retrospective analysis.

Simon Fishel1, Alison Campbell2, Sue Montgomery3, Rachel Smith4, Lynne Nice5, Samantha Duffy3, Lucy Jenner6, Kathyrn Berrisford6, Louise Kellam6, Rob Smith7, Ivy D'Cruz8, Ashley Beccles2.   

Abstract

The increasing corpus of clinical studies using time-lapse imaging for embryo selection demonstrates considerable variation in study protocols and only limited-sized study cohorts. Outcome measures are based on implantation or clinical pregnancy; some predict blastulation from early cleavage-stage data, and few have evaluated live birth. Erroneously, most studies treat the embryos as independent variables and do not include patient or treatment variables in the statistical analyses. In this study, cohort size was 14,793 patients and 23,762 cycles. The incidence of live birth (n = 973 deliveries) after embryo selection by objective morphokinetic algorithms was compared with conventional embryology selection parameters (n = 6948 deliveries). A 19% increase in the incidence of live birth was observed when morphokinetic data were used to select embryos for the patient cohort aged younger than 38 years (OR 1.19 with 95% CI 1.06 to 1.34) using their own eggs, and an increase of 37% for oocyte recipients aged over 37 years (OR 1.370; 95% Cl 0.763 to 2.450). This is the largest study of the prospective use of time-lapse imaging algorithms in IVF reporting on live birth outcome, although the nature of purely a closed system versus standard incubation could not be assessed.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Embryo imaging; Human; IVF; Live birth; Time-lapse

Mesh:

Year:  2017        PMID: 28712646     DOI: 10.1016/j.rbmo.2017.06.009

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


  5 in total

1.  Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics.

Authors:  Liubin Yang; Mary Peavey; Khalied Kaskar; Neil Chappell; Lynn Zhu; Darius Devlin; Cecilia Valdes; Amy Schutt; Terri Woodard; Paul Zarutskie; Richard Cochran; William E Gibbons
Journal:  F S Rep       Date:  2022-04-15

2.  A high-throughput and open-source platform for embryo phenomics.

Authors:  Oliver Tills; John I Spicer; Andrew Grimmer; Simone Marini; Vun Wen Jie; Ellen Tully; Simon D Rundle
Journal:  PLoS Biol       Date:  2018-12-13       Impact factor: 8.029

3.  Faster Fertilization and Cleavage Kinetics Reflect Competence to Achieve a Live Birth: Data from Single-Embryo Transfer Cycles.

Authors:  Yongle Yang; Xiyuan Dong; Jian Bai; Lei Jin; Bo Huang
Journal:  Biomed Res Int       Date:  2022-07-15       Impact factor: 3.246

Review 4.  Mining of variables from embryo morphokinetics, blastocyst's morphology and patient parameters: an approach to predict the live birth in the assisted reproduction service.

Authors:  Dóris Spinosa Chéles; Eloiza Adriane Dal Molin; José Celso Rocha; Marcelo Fábio Gouveia Nogueira
Journal:  JBRA Assist Reprod       Date:  2020-10-06

5.  Serum Anti-Mullerian hormone and embryo morphokinetics detecting by time-lapse imaging: A comparison between the polycystic ovarian syndrome and tubal factor infertility.

Authors:  Nasim Tabibnejad; Mehrdad Soleimani; Abbas Aflatoonian
Journal:  Int J Reprod Biomed       Date:  2018-08
  5 in total

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