Literature DB >> 25624197

External validation of a time-lapse prediction model.

Thomas Fréour1, Nicolas Le Fleuter2, Jenna Lammers3, Carole Splingart4, Arnaud Reignier3, Paul Barrière3.   

Abstract

OBJECTIVE: To study the performance of a previously published implantation prediction model based on morphokinetics in a different setting, in an unselected population and with various embryo transfer strategies.
DESIGN: Retrospective monocentric study.
SETTING: University-based assisted reproduction technology (ART) center. PATIENT(S): 450 unselected couples undergoing intracytoplasmic sperm injection (ICSI) cycle with embryo culture in the EmbryoScope (Unisense Fertilitech), corresponding to 528 embryos with known implantation. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Implantation rates (IR) in embryo categories defined by the model in the overall population and in subgroups according to the day of embryo transfer. RESULT(S): The distribution of IR among detailed morphokinetic categories in the overall population and in subgroups according to the day of embryo transfer was more heterogeneous than expected according to the published model. The distribution corresponded better to the original when a simplified version of the model was used, although it worked better in the cleavage-stage group than in the blastocyst-stage group. CONCLUSION(S): This study was unsuccessful in replicating the sensitivity of the previously published model for predicting implantation rate of embryos ranked according to morphokinetic categories. Further work is required to assess the utility of the model for embryo selection. Each team using time-lapse technology should build a center-specific prediction model based on its own data and transfer policy.
Copyright © 2015 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  External validation; implantation; prediction model; time-lapse

Mesh:

Year:  2015        PMID: 25624197     DOI: 10.1016/j.fertnstert.2014.12.111

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  19 in total

1.  A critical appraisal of time-lapse imaging for embryo selection: where are we and where do we need to go?

Authors:  Catherine Racowsky; Peter Kovacs; Wellington P Martins
Journal:  J Assist Reprod Genet       Date:  2015-07-01       Impact factor: 3.412

2.  Morphokinetic parameters using time-lapse technology and day 5 embryo quality: a prospective cohort study.

Authors:  Ashleigh Storr; Christos A Venetis; Simon Cooke; Daisy Susetio; Suha Kilani; William Ledger
Journal:  J Assist Reprod Genet       Date:  2015-07-15       Impact factor: 3.412

3.  Between-laboratory reproducibility of time-lapse embryo selection using qualitative and quantitative parameters: a systematic review and meta-analysis.

Authors:  Yanhe Liu; Fang Qi; Phillip Matson; Dean E Morbeck; Ben W Mol; Sai Zhao; Masoud Afnan
Journal:  J Assist Reprod Genet       Date:  2020-05-02       Impact factor: 3.412

4.  Does sperm origin affect embryo morphokinetic parameters?

Authors:  Jenna Lammers; Arnaud Reignier; Carole Splingart; Aurore Catteau; Laurent David; Paul Barriere; Thomas Freour
Journal:  J Assist Reprod Genet       Date:  2015-06-25       Impact factor: 3.412

5.  A time-lapse embryo dataset for morphokinetic parameter prediction.

Authors:  Tristan Gomez; Magalie Feyeux; Justine Boulant; Nicolas Normand; Laurent David; Perrine Paul-Gilloteaux; Thomas Fréour; Harold Mouchère
Journal:  Data Brief       Date:  2022-05-11

6.  Time-lapse variables and embryo gender: a retrospective analysis of 81 live births obtained following minimal stimulation and single embryo transfer.

Authors:  Daniel Bodri; Satoshi Kawachiya; Takeshi Sugimoto; Jazmina Yao Serna; Ryutaro Kato; Tsunekazu Matsumoto
Journal:  J Assist Reprod Genet       Date:  2016-03-01       Impact factor: 3.412

7.  Fertility technologies and how to optimize laboratory performance to support the shortening of time to birth of a healthy singleton: a Delphi consensus.

Authors:  Giovanni Coticchio; Barry Behr; Alison Campbell; Marcos Meseguer; Dean E Morbeck; Valerio Pisaturo; Carlos E Plancha; Denny Sakkas; Yanwen Xu; Thomas D'Hooghe; Evelyn Cottell; Kersti Lundin
Journal:  J Assist Reprod Genet       Date:  2021-02-18       Impact factor: 3.412

8.  A novel embryo quality scoring system to compare groups of embryos at different developmental stages.

Authors:  Satoshi Mizuno; Hiroshi Matsumoto; Shu Hashimoto; Manjula Brahmajosyula; Aya Ohgaki; Sachiyo Tarui; Mari Matoba; Manabu Satoh; Aisaku Fukuda; Yoshiharu Morimoto
Journal:  J Assist Reprod Genet       Date:  2021-03-01       Impact factor: 3.412

9.  Comparing prediction of ongoing pregnancy and live birth outcomes in patients with advanced and younger maternal age patients using KIDScore™ day 5: a large-cohort retrospective study with single vitrified-warmed blastocyst transfer.

Authors:  Keiichi Kato; Satoshi Ueno; Jørgen Berntsen; Motoki Ito; Kiyoe Shimazaki; Kazuo Uchiyama; Tadashi Okimura
Journal:  Reprod Biol Endocrinol       Date:  2021-07-02       Impact factor: 5.211

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

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