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

Fishel, Simon; Campbell, Alison; Foad, Fiona; Davies, L.; Davis, Natalie; Smith, R. L.; Duffy, Samantha; Wheat, Stacy; Montgomery, Sue; Wachter, Audrey; Beccles, Ashley

doi:10.1016/j.rbmo.2019.10.005

Cited by 28 publications

(23 citation statements)

References 41 publications

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“…Previous studies have assessed the predictive value of time-lapse biomarkers on various endpoints, such as developmental competence in terms of blastocyst development and implantation, pregnancy prediction and possible prediction of aneuploidy [13][14][15][16][17][18][19][20]. The preferred clinical outcome in IVF is´the birth of a singleton healthy child at term´ [21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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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

Sayed

Reigstad

Petersen³

et al. 2020

PLoS ONE

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The purpose of this retrospective time-lapse data analysis from transferred preimplantation human embryos was to identify early morphokinetic cleavage variables that are related to implantation and live birth following in vitro fertilization (IVF). All embryos were monitored from fertilization check until embryo transfer for a minimum of 44 hours. The study was designed to assess the association between day 2 embryo morphokinetic variables with implantation and live birth based on Known Implantation Data (KID). The kinetic variables were subjected to quartile-based analysis. The predictive ability for implantation and live birth was studied using receiver operator characteristic (ROC) curves. Three morphokinetic variables, time to 2-cells (t2), duration of second cell cycle (cc2) below one threshold and cc2 above another threshold had the highest predictive value with regards to implantation and live birth following IVF treatment. The predictive pre-transfer information has little divergence between fetal heartbeat and live birth data and therefore, at least for early morphokinetic variables up to the four-cell stage (t4), conclusions and models based on fetal heartbeat data can be expected to be valid for live birth datasets as well. The three above mentioned variables (t2, cc2 below one threshold and cc2 above another threshold) may supplement morphological evaluation in embryo selection and thereby improve the outcome of in vitro fertilization treatments.

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Section: Introductionmentioning

confidence: 99%

“…The preferred clinical outcome in IVF is´the birth of a singleton healthy child at term´ [21][22][23][24]. Few studies have however assessed TLI information with live birth as primary endpoint [16,25,26].…”

Section: Introductionmentioning

confidence: 99%

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

Sayed

Reigstad

Petersen³

et al. 2020

PLoS ONE

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“…However, time-lapse in conjunction with PGT-A can help to select among euploid embryos those with a higher chance to implant (48,50). On the other hand, in cycles without PGT-A, time-lapse is a useful tool for unselecting embryos less likely to implant (51).…”

Section: Time-lapse Culture Systemmentioning

confidence: 99%

Are we approaching automated assisted reproductive technology? Embryo culture, metabolomics, and cryopreservation

Casciani¹,

Galliano

Franasiak

et al. 2021

F&S Reviews

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For decades, assisted reproductive technology (ART) procedures have been performed manually thanks to the meticulous work of skilled embryologists. Recently, new technologies have been developed with three main scopes: improving embryo culture conditions; making diagnostic evaluations more consistent and reliable; and allowing ART procedures to become progressively less subjective and operatordependent. This review aimed to answer the following questions: is automation likely to be successfully incorporated into the in vitro fertilization laboratory and clinical ART in the future? If so, would such automation result in improved outcomes in ART?An electronic search of PubMed was performed to identify articles in English language that addressed automation in ART. Studies were classified in decreasing categories: randomized controlled trials; prospective controlled trials; prospective noncontrolled trials; retrospective studies; and experimental studies. Research and development data from investigators were included.There are a number of separate platforms that have been developed until now to address different parts of the ART process: gradual change of embryo culture medium; noninvasive embryo monitoring with time-lapse or metabolome analysis; and automated vitrification. It is conceivable that future automation enhancements in the in vitro fertilization laboratory may improve consistency and throughput and reduce the risk of human error associated with the performance of repetitive tasks. Nevertheless, a need remains for a platform able to integrate all separate technologies, capable of successfully interconnecting them in a way that assures continued chain of custody for the gametes and embryos. Moreover, controlled trials will be fundamental to demonstrate the usefulness of automation in ART. (Fertil Steril Rev Ò 2021;2:251-64. Ó2021 by American Society for Reproductive Medicine.

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“…The development and progression of IVF over the past four decay were outlined in the paper [37]. The implementation of time-lapse imaging algorithms for selecting embryos outperformed a conventional morphology approach to select a potential embryo that successfully generated a live birth [38]. Equally important, an AI-driven approach like deep learning (DL) has provided a reproducible, robust evaluation and selection and uncovers potentially personalized strategies to select human embryos [39].…”

Section: Related Workmentioning

confidence: 99%

A SWOT Analysis of Human- and Machine Learning- Based Embryo Assessment

Tran

Dang

et al. 2020

IEEE Access

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

Cited by 28 publications

References 41 publications

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

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

Are we approaching automated assisted reproductive technology? Embryo culture, metabolomics, and cryopreservation

A SWOT Analysis of Human- and Machine Learning- Based Embryo Assessment

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