Using the Eeva Test™ adjunctively to traditional day 3 morphology is informative for consistent embryo assessment within a panel of embryologists with diverse experience

Michael Peter Diamond, Vaishali Suraj, Erica J. Behnke, Xinli Yang, Marlane J. Angle, Jaclyn C. Lambe-Steinmiller, Rachel Watterson, Kelly Athayde Wirka, Alice A. Chen, Shehua Shen

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Purpose: Since many transferred, good morphology embryos fail to implant, technologies to identify embryos with high developmental potential would be beneficial. The Eeva™ (Early Embryo Viability Assessment) Test, a prognostic test based on automated detection and analysis of time-lapse imaging information, has been shown to benefit embryo selection specificity for a panel of three highly experienced embryologists (Conaghan et al., 2013). Here we examined if adjunctive use of Eeva Test results following morphological assessment would allow embryologists with diverse clinical backgrounds to consistently improve the selection of embryos with high developmental potential.

Methods: Prospective, double-blinded multi-center study with 54 patients undergoing blastocyst transfer cycles consented to have embryos imaged using the Eeva System, which automatically measures key cell division timings and categorizes embryos into groups based on developmental potential. Five embryologists of diverse clinical practices, laboratory training, and geographical areas predicted blastocyst formation using day 3 morphology alone and day 3 morphology followed by Eeva Test results. Odds ratio (OR) and diagnostic performance measures were calculated by comparing prediction results to true blastocyst outcomes.

Results: When Eeva Test results were used adjunctively to traditional morphology to help predict blastocyst formation among embryos graded good or fair on day 3, the OR was 2.57 (95 % CI=1.88–3.51). The OR using morphology alone was 1.68 (95 % CI=1.29–2.19). Adjunct use of the Eeva Test reduced the variability in prediction performance across all five embryologists: the variability was reduced from a range of 1.06 (OR=1.14 to 2.20) to a range of 0.45 (OR=2.33 to 2.78).

Conclusions: The Eeva Test, an automated, time-lapse enabled prognostic test, used adjunctively with morphology, is informative in helping embryologists with various levels of experience select embryos with high developmental potential.

Original languageEnglish (US)
Pages (from-to)61-68
Number of pages8
JournalJournal of Assisted Reproduction and Genetics
Volume32
Issue number1
DOIs
StatePublished - Jan 1 2014

Fingerprint

Embryonic Structures
Odds Ratio
Blastocyst
Time-Lapse Imaging
Embryo Transfer
Cell Division
Technology

Keywords

  • Cell division timings
  • Elective single embryo transfer
  • Embryo selection
  • In-vitro fertilization
  • Prognostic test
  • Time-lapse imaging

ASJC Scopus subject areas

  • Reproductive Medicine
  • Genetics
  • Obstetrics and Gynecology
  • Developmental Biology
  • Genetics(clinical)

Cite this

Using the Eeva Test™ adjunctively to traditional day 3 morphology is informative for consistent embryo assessment within a panel of embryologists with diverse experience. / Diamond, Michael Peter; Suraj, Vaishali; Behnke, Erica J.; Yang, Xinli; Angle, Marlane J.; Lambe-Steinmiller, Jaclyn C.; Watterson, Rachel; Athayde Wirka, Kelly; Chen, Alice A.; Shen, Shehua.

In: Journal of Assisted Reproduction and Genetics, Vol. 32, No. 1, 01.01.2014, p. 61-68.

Research output: Contribution to journalArticle

Diamond, Michael Peter ; Suraj, Vaishali ; Behnke, Erica J. ; Yang, Xinli ; Angle, Marlane J. ; Lambe-Steinmiller, Jaclyn C. ; Watterson, Rachel ; Athayde Wirka, Kelly ; Chen, Alice A. ; Shen, Shehua. / Using the Eeva Test™ adjunctively to traditional day 3 morphology is informative for consistent embryo assessment within a panel of embryologists with diverse experience. In: Journal of Assisted Reproduction and Genetics. 2014 ; Vol. 32, No. 1. pp. 61-68.
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abstract = "Purpose: Since many transferred, good morphology embryos fail to implant, technologies to identify embryos with high developmental potential would be beneficial. The Eeva™ (Early Embryo Viability Assessment) Test, a prognostic test based on automated detection and analysis of time-lapse imaging information, has been shown to benefit embryo selection specificity for a panel of three highly experienced embryologists (Conaghan et al., 2013). Here we examined if adjunctive use of Eeva Test results following morphological assessment would allow embryologists with diverse clinical backgrounds to consistently improve the selection of embryos with high developmental potential.Methods: Prospective, double-blinded multi-center study with 54 patients undergoing blastocyst transfer cycles consented to have embryos imaged using the Eeva System, which automatically measures key cell division timings and categorizes embryos into groups based on developmental potential. Five embryologists of diverse clinical practices, laboratory training, and geographical areas predicted blastocyst formation using day 3 morphology alone and day 3 morphology followed by Eeva Test results. Odds ratio (OR) and diagnostic performance measures were calculated by comparing prediction results to true blastocyst outcomes.Results: When Eeva Test results were used adjunctively to traditional morphology to help predict blastocyst formation among embryos graded good or fair on day 3, the OR was 2.57 (95 {\%} CI=1.88–3.51). The OR using morphology alone was 1.68 (95 {\%} CI=1.29–2.19). Adjunct use of the Eeva Test reduced the variability in prediction performance across all five embryologists: the variability was reduced from a range of 1.06 (OR=1.14 to 2.20) to a range of 0.45 (OR=2.33 to 2.78).Conclusions: The Eeva Test, an automated, time-lapse enabled prognostic test, used adjunctively with morphology, is informative in helping embryologists with various levels of experience select embryos with high developmental potential.",
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AU - Behnke, Erica J.

AU - Yang, Xinli

AU - Angle, Marlane J.

AU - Lambe-Steinmiller, Jaclyn C.

AU - Watterson, Rachel

AU - Athayde Wirka, Kelly

AU - Chen, Alice A.

AU - Shen, Shehua

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KW - Time-lapse imaging

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