Morphokinetics of Morula Stage Embryo Fail to Predict Blastocyst Formation and Blastocyst Quality

Sayme, Nabil; Krebs, Thomas; Maas, D.; Kljajić, Marija

doi:10.1016/j.fertnstert.2020.08.356

Cited by 2 publications

(1 citation statement)

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“…In recent years,'OMICS' technologies [6], and algorithms created through the use of time-lapse microscopy [7] were used to predict the destiny of day 3 embryos during in vitro culture. While 'OMICS' technologies, such as proteomics and metabolomics for non-invasive embryo developmental capacity assessment, are yet to be recommended for routine use [1], time-lapse microscopy has been introduced as a routine clinical practice and showed a capacity to predict the blastocyst formation with AUCs ranging from 0.6-0.8 across different studies [8][9][10][11][12][13][14][15][16][17][18][19]. Unfortunately, novel technologies inevitably require additional cost or equipment and the expense of technologies may limit their widespread use.…”

Section: Introductionmentioning

confidence: 99%

Does Conventional Morphological Evaluation Still Play a Role in Predicting Blastocyst Formation?

Jiang

Cai

Liu

et al. 2021

Preprint

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BackgroundAdvanced models including time-lapse imaging and artificial intelligence technologies have been used to predict blastocyst formation. However, the conventional morphological evaluation of embryos is still widely used. The purpose of the present study was to evaluate the predictive power of conventional morphological evaluation regarding blastocyst formation.MethodsRetrospective evaluation of data from 15613 patients receiving blastocyst culture from January 2013 through December 2020 in our institution were reviewed. Generalized estimating equations (GEE) were used to establish the morphology-based model. To estimate whether including more features regarding patient characteristics and cycle parameters improve the predicting power, we also establish models including 27 more features with either LASSO regression or XGbosst. The predicted number of blastocyst were associated with the observed number of the blastocyst and were used to predict the blastocyst transfer cancellation either in fresh or frozen cycles. ResultsBased on early cleavage and routine observed morphological parameters (cell number, fragmentation, and symmetry), the GEE model predicted blastocyst formation with an AUC of 0.779(95%CI: 0.77-0.787) and an accuracy of 74.7%(95%CI: 73.9%-75.5%) in the validation set. LASSO regression model and XGboost model based on the combination of cycle characteristics and embryo morphology yielded similar predicting power with AUCs of 0.78(95%CI: 0.771-0.789) and 0.754(95%CI: 0.745-0.763), respectively. For per-cycle blastocyst yield, the predicted number of blastocysts using morphological parameters alone strongly correlated with observed blastocyst number (r=0.897, P<0.0001) and predicted blastocyst transfer cancel with an AUC of 0.926((95%CI: 0.911-0.94). ConclusionThe data suggested that routine morphology observation remained a feasible tool to support an informed decision regarding the day of transfer. However, models based on the combination of cycle characteristics and embryo morphology do not increase the predicting power significantly.

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Section: Introductionmentioning

confidence: 99%

Does Conventional Morphological Evaluation Still Play a Role in Predicting Blastocyst Formation?

Jiang

Cai

Liu

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

Does conventional morphological evaluation still play a role in predicting blastocyst formation?

Jiang

Cai

Liu

et al. 2022

Reprod Biol Endocrinol

View full text Add to dashboard Cite

Background Advanced models including time-lapse imaging and artificial intelligence technologies have been used to predict blastocyst formation. However, the conventional morphological evaluation of embryos is still widely used. The purpose of the present study was to evaluate the predictive power of conventional morphological evaluation regarding blastocyst formation. Methods Retrospective evaluation of data from 15,613 patients receiving blastocyst culture from January 2013 through December 2020 in our institution were reviewed. Generalized estimating equations (GEE) were used to establish the morphology-based model. To estimate whether including more features regarding patient characteristics and cycle parameters improve the predicting power, we also establish models including 27 more features with either LASSO regression or XGbosst. The predicted number of blastocyst were associated with the observed number of the blastocyst and were used to predict the blastocyst transfer cancellation either in fresh or frozen cycles. Results Based on early cleavage and routine observed morphological parameters (cell number, fragmentation, and symmetry), the GEE model predicted blastocyst formation with an AUC of 0.779(95%CI: 0.77–0.787) and an accuracy of 74.7%(95%CI: 73.9%-75.5%) in the validation set. LASSO regression model and XGboost model based on the combination of cycle characteristics and embryo morphology yielded similar predicting power with AUCs of 0.78(95%CI: 0.771–0.789) and 0.754(95%CI: 0.745–0.763), respectively. For per-cycle blastocyst yield, the predicted number of blastocysts using morphological parameters alone strongly correlated with observed blastocyst number (r = 0.897, P < 0.0001) and predicted blastocyst transfer cancel with an AUC of 0.926((95%CI: 0.911–0.94). Conclusion The data suggested that routine morphology observation remained a feasible tool to support an informed decision regarding the day of transfer. However, models based on the combination of cycle characteristics and embryo morphology do not increase the predicting power significantly.

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Morphokinetics of Morula Stage Embryo Fail to Predict Blastocyst Formation and Blastocyst Quality

Cited by 2 publications

References 0 publications

Does Conventional Morphological Evaluation Still Play a Role in Predicting Blastocyst Formation?

Does Conventional Morphological Evaluation Still Play a Role in Predicting Blastocyst Formation?

Does conventional morphological evaluation still play a role in predicting blastocyst formation?

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