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Related Experiment Videos

External validation of a time-lapse prediction model.

Thomas Fréour1, Nicolas Le Fleuter2, Jenna Lammers1

  • 1Service de Médecine et Biologie du Développement et de la Reproduction, CHU de Nantes, Nantes, France; INSERM UMR1064, Nantes, France.

Fertility and Sterility
|January 28, 2015
PubMed
Summary

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Prediction Intervals01:03

Prediction Intervals

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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
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End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

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A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
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This study found that a previously published embryo implantation prediction model based on morphokinetics did not perform as expected in a new setting. Developing center-specific models is recommended for improved embryo selection in assisted reproduction technology.

Area of Science:

  • Reproductive Science
  • Embryology
  • Assisted Reproduction Technology (ART)

Background:

  • Implantation prediction models using embryo morphokinetics aim to improve success rates in assisted reproduction technology (ART).
  • Evaluating the generalizability of these models across different clinical settings is crucial.

Purpose of the Study:

  • To assess the performance of a published morphokinetic prediction model in an unselected population within a different ART center.
  • To investigate the model's accuracy with varying embryo transfer strategies.

Main Methods:

  • Retrospective analysis of 528 embryos from 450 intracytoplasmic sperm injection (ICSI) cycles.
  • Embryo culture using time-lapse imaging (EmbryoScope) with known implantation outcomes.
  • Analysis of implantation rates (IR) based on model-defined morphokinetic categories and day of embryo transfer.
Keywords:
External validationimplantationprediction modeltime-lapse

Related Experiment Videos

Main Results:

  • The observed distribution of implantation rates across morphokinetic categories was more varied than predicted by the model.
  • A simplified version of the model showed better correlation but was more effective for cleavage-stage embryos than blastocysts.
  • The model's predictive sensitivity for implantation was not replicated in this independent cohort.

Conclusions:

  • The study failed to validate the predictive performance of the existing morphokinetic model for embryo implantation.
  • Further research is needed to refine or develop new models for embryo selection.
  • ART centers should consider developing customized prediction models using their own data and clinical practices.