Literature DB >> 31831370

Evolution of embryo selection for IVF from subjective morphology assessment to objective time-lapse algorithms improves chance of live birth.

Simon Fishel1, Alison Campbell2, Fiona Foad3, Laina Davies4, Louise Best5, Natalie Davis6, Rachel Smith7, Samantha Duffy5, Stacy Wheat8, Sue Montgomery5, Audrey Wachter9, Ashley Beccles2.   

Abstract

RESEARCH QUESTION: Does using an objective time-lapse imaging algorithm (TLIA) after IVF relate to conventional morphological assessment of human blastocysts as a prognosticator for live birth?
DESIGN: Prospective use of a TLIA to select embryos in multicentre IVF clinics all using the same strictly controlled laboratory protocols. Each blastocyst was given a ranking from A to D, with the highest rank preferred for fresh transfer. This ranking was retrospectively compared with a given morphological score, which was blinded to the TLIA rank; all embryos were cultured under the same conditions.
RESULTS: Using multiple variable logistic regression models, TLIA embryo rank enabled greater discrimination between cycles with and without live births than the conventional morphology grade, even when considered in isolation, and when adjusting for covariates related to treatment and patient criteria. Of the 1810 cycles of single blastocyst transfer, 894 (49.4%) resulted in a live birth. A Vuong non-nested test including covariates showed strong evidence of the superiority of the embryo rank model compared with the transfer grade model (P = 0.0008 [raw], P = 0.0003 [Akaike information criterion - corrected]). From the receiver operating characteristic (ROC) curves across all possible thresholds the TLIA rank showed better true positive and true negative rates and had a higher area under the curve [AUC] of 67.43% compared with 61.74% for the blastocyst morphology grade. The same analysis but excluding covariates demonstrated an AUC of 62.86% versus 54.02%, respectively.
CONCLUSION: Objective TLIA is superior for selecting embryos for their propensity to generate a live birth over a conventional, subjective blastocyst morphology scoring system.
Copyright © 2019 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Embryo selection; IVF; Live birth; Morphology; Time-lapse imaging

Mesh:

Year:  2019        PMID: 31831370     DOI: 10.1016/j.rbmo.2019.10.005

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


  6 in total

1.  Does quantity equal quality?-A morphokinetic assessment of embryos obtained from young women with decreased ovarian response to controlled ovarian stimulation.

Authors:  Natali Schachter-Safrai; Yoav Kan-Tor; Gilad Karavani; Yuval Or; Yoel Shufaro; Iris Har-Vardi; Amnon Buxboim; Assaf Ben-Meir
Journal:  J Assist Reprod Genet       Date:  2021-02-26       Impact factor: 3.412

2.  Does ICSI for in vitro fertilization cause more aneuploid embryos?

Authors:  Xiangli Niu; Jiamin Long; Fangqiang Gong; Weihua Wang
Journal:  Mol Cytogenet       Date:  2020-07-01       Impact factor: 2.009

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

4.  Time-lapse imaging derived morphokinetic variables reveal association with implantation and live birth following in vitro fertilization: A retrospective study using data from transferred human embryos.

Authors:  Shabana Sayed; Marte Myhre Reigstad; Bjørn Molt Petersen; Arne Schwennicke; Jon Wegner Hausken; Ritsa Storeng
Journal:  PLoS One       Date:  2020-11-19       Impact factor: 3.240

5.  Can Time-Lapse Incubation and Monitoring Be Beneficial to Assisted Reproduction Technology Outcomes? A Randomized Controlled Trial Using Day 3 Double Embryo Transfer.

Authors:  Yu-Han Guo; Yan Liu; Lin Qi; Wen-Yan Song; Hai-Xia Jin
Journal:  Front Physiol       Date:  2022-01-04       Impact factor: 4.566

6.  Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences.

Authors:  Jørgen Berntsen; Jens Rimestad; Jacob Theilgaard Lassen; Dang Tran; Mikkel Fly Kragh
Journal:  PLoS One       Date:  2022-02-02       Impact factor: 3.240

  6 in total

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