Literature DB >> 17074349

Interobserver and intraobserver variation in day 3 embryo grading.

Allison E Baxter Bendus1, Jacob F Mayer, Sharon K Shipley, William H Catherino.   

Abstract

OBJECTIVE: Variations in pregnancy rates (PR) between IVF programs are due to multiple factors, including embryo quality. Standardized embryo grading systems have been developed to improve communication between embryologists and clinicians. However, these grading systems have not been validated. We sought to quantify both interobserver and intraobserver variability using a standardized day 3 embryo grading system (Veeck scale).
DESIGN: Prospective, sample-randomized, controlled, blinded study.
SETTING: University hospital. PATIENT(S): Twenty-six practicing embryologists. INTERVENTION(S): Observation and grading of 35 video clips of day 3 embryos. MAIN OUTCOME MEASURE(S): Interobserver and intraobserver variability. Embryologists were also assessed by education level, years of experience, size of IVF program, and type of grading system used. Kappa scores and intraclass correlation coefficients were calculated. RESULT(S): Practicing embryologists differed from control (Lucinda Veeck) by as much as two grades, despite using the same grading system (Kappa = 0.24, interclass correlation coefficient = 0.98). There was also variability in grading the same embryo (Kappa = 0.69, interclass correlation coefficient = 0.88). Programs with higher cycle numbers per year had lower variability. CONCLUSION(S): There is substantial interobserver variability and moderate intraobserver variability among embryologists. Such variability could alter both the expected quality of embryos transferred, as well as the number transferred, both of which directly impact IVF program success.

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Mesh:

Year:  2006        PMID: 17074349     DOI: 10.1016/j.fertnstert.2006.05.037

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


  31 in total

1.  Reducing inter-observer variability in embryo evaluation by means of training courses.

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Journal:  J Assist Reprod Genet       Date:  2011-09-23       Impact factor: 3.412

2.  The procurement of cells for the derivation of human embryonic stem cell lines for therapeutic use: recommendations for good practice.

Authors:  Alison Murdoch; Peter Braude; Aidan Courtney; Daniel Brison; Charles Hunt; James Lawford-Davies; Harry Moore; Glyn Stacey; Sebastian Sethe
Journal:  Stem Cell Rev Rep       Date:  2012-03       Impact factor: 5.739

3.  The association of the blastomere volume index (BVI), the blastomere symmetry index (BSI) and the mean ovality (MO) with ongoing implantation after single embryo transfer.

Authors:  Carlijn G Vergouw; Mays Al Nofal; E Hanna Kostelijk; Hans Rooth; Peter G A Hompes; Roel Schats; Cornelis B Lambalk
Journal:  J Assist Reprod Genet       Date:  2013-03-20       Impact factor: 3.412

4.  Oxidative markers in cryopreservation medium from frozen-thawed embryos: a possible tool for improved embryo selection in in vitro fertilization?

Authors:  Zofnat Wiener-Megnazi; Shirly Lahav-Baratz; Idit Blais; Sarah Matarasso; Mara Koifman; Sergei Shnizer; David Ishai; Gil Peer; Grace Younes; Ariel Zilberlicht; Ron Auslander; Martha Dirnfeld
Journal:  J Assist Reprod Genet       Date:  2016-03-14       Impact factor: 3.412

5.  Patient selection criteria for blastocyst transfers in extended embryo culture programs.

Authors:  Daniela Paes Almeida Ferreira Braga; Amanda S Setti; Rita de Cássia S Figueira; Rogério Bonassi Machado; Assumpto Iaconelli; Edson Borges
Journal:  J Assist Reprod Genet       Date:  2012-10-11       Impact factor: 3.412

6.  A quantitative approach to blastocyst quality evaluation: morphometric analysis and related IVF outcomes.

Authors:  Cristina Lagalla; Marzia Barberi; Giovanna Orlando; Raffaella Sciajno; Maria Antonietta Bonu; Andrea Borini
Journal:  J Assist Reprod Genet       Date:  2015-04-09       Impact factor: 3.412

Review 7.  The role of microRNAs in human embryo implantation: a review.

Authors:  Anthea B M Paul; Seifeldin T Sadek; Arnold M Mahesan
Journal:  J Assist Reprod Genet       Date:  2018-10-12       Impact factor: 3.412

Review 8.  Biomarkers identified with time-lapse imaging: discovery, validation, and practical application.

Authors:  Alice A Chen; Lei Tan; Vaishali Suraj; Renee Reijo Pera; Shehua Shen
Journal:  Fertil Steril       Date:  2013-03-15       Impact factor: 7.329

9.  Quantitative and qualitative trophectoderm grading allows for prediction of live birth and gender.

Authors:  Thomas Ebner; Katja Tritscher; Richard B Mayer; Peter Oppelt; Hans-Christoph Duba; Maria Maurer; Gudrun Schappacher-Tilp; Erwin Petek; Omar Shebl
Journal:  J Assist Reprod Genet       Date:  2015-11-14       Impact factor: 3.412

10.  Intra- and inter-observer analysis in the morphological assessment of early-stage embryos.

Authors:  Goedele Paternot; Johanna Devroe; Sophie Debrock; Thomas M D'Hooghe; Carl Spiessens
Journal:  Reprod Biol Endocrinol       Date:  2009-09-29       Impact factor: 5.211

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