scholarly journals FIRST APPLICATION OF ARTIFICIAL NEURONAL NETWORKS FOR HUMAN LIVE BIRTH PREDICTION ON GERI TIME-LAPSE MONITORING SYSTEM BLASTOCYST IMAGES

2020 ◽  
Vol 114 (3) ◽  
pp. e140
Author(s):  
Lucia Alegre ◽  
Lorena Bori ◽  
María de los Ángeles Valera ◽  
Marcelo Fábio Gouveia Nogueira ◽  
André Satoshi Ferreira ◽  
...  
2021 ◽  
Vol MA2021-01 (54) ◽  
pp. 1313-1313
Author(s):  
Henevith Gisell Méndez Figueroa ◽  
Darío Colorado Garrido ◽  
R. Galván Martínez ◽  
Miguel Ángel Hernandez ◽  
Ricardo Orozco Cruz

2017 ◽  
Vol 108 (3) ◽  
pp. 498-504 ◽  
Author(s):  
Maria Fernanda Insua ◽  
Ana Cristina Cobo ◽  
Zaloa Larreategui ◽  
Marcos Ferrando ◽  
Vicente Serra ◽  
...  

2021 ◽  
Author(s):  
Qina He ◽  
Guidong Yao ◽  
Jiahuan He ◽  
Guang Yang ◽  
Ziwen Xu ◽  
...  

Abstract At present, embryo morphology assessment based on the observation of the embryonic morphological characteristics at several specific time points has been mainly used for selecting the high-quality embryo. However, we all know that embryo development is a dynamic process. Many research results on the correlation between the embryo morphokinetic parameters and embryo quality and development potential were inconsistent. With the help of time-lapse imaging, the development processes and outcomes of a total of 365 embryos were cultured and analyzed in this study. The results showed that the mean tPNf and t2 of the high-quality embryo were significantly shorter than the low-quality embryo; the mean t2PBe and tPNa of the high-quality embryo from the implantation group were significantly shorter than those from the non-implantation group. In addition, based on the quartile grouping of each morphokinetic parameter, the embryos that had 21.15≤tPNf≤25.30 value were significantly higher in embryo quality when compared with the embryos that had the tPNf values outside the range on Days 3. Similarly, the embryos that had values of t2≤25.60 were significantly higher in embryo quality than those with outside the range values on Days 3. Thus, we demonstrated that the morphokinetic parameter evaluated using a time-lapse embryo monitoring system can predict the embryo quality, and be benefit for the selection of the high-quality embryos and improvement for the implantation success of the patient in assisted reproductive technologies.


2019 ◽  
Vol 34 (8) ◽  
pp. 1439-1449 ◽  
Author(s):  
J Barberet ◽  
C Bruno ◽  
E Valot ◽  
C Antunes-Nunes ◽  
L Jonval ◽  
...  

AbstractSTUDY QUESTIONCan time-lapse imaging systems make it possible to identify novel early non-invasive biomarkers to predict live birth?SUMMARY ANSWERFrom mostly high-grade embryos, out of 35 morphometric, morphologic and morphokinetic variables, only pronuclei (PN) position at time of PN juxtaposition and the absence of multinucleated blastomeres at the 2-cell stage (MNB2cell), were potentially associated with live birth.WHAT IS KNOWN ALREADYPrevious studies indicate that some kinetic markers may be predictive of blastocyst development and embryonic implantation. Certain teams have suggested including some of them in decisional algorithms for embryo transfers.STUDY DESIGN, SIZE, DURATIONUsing a time-lapse incubator (EmbryoScope, Unisense FertiliTech), we retrospectively explored the associations between the morphometric, morphologic and morphokinetic parameters of oocytes, zygotes and embryos, and their associations with live birth. This study assessed 232 embryos from single embryo transfers after ICSI cycles performed between January 2014 and December 2017.PARTICIPANTS/MATERIALS, SETTING, METHODSThe morphometric, morphologic and morphokinetic parameters (18, 4 and 13, respectively) of oocytes, zygotes and early embryos were studied retrospectively. The associations between these parameters were examined using a Spearman’s correlation, Mann–Whitney or chi-squared test as appropriate. We examined whether these parameters were associated with outcomes in univariate and multivariate logistic regression analyses.MAIN RESULTS AND THE ROLE OF CHANCECentral PN juxtaposition was associated with a 2-fold increase in the odds of live birth (OR = 2.20; 95% CI, [1.26–3.89]; P = 0.006), while the presence of MNB2cell was associated with half the odds of live birth (OR = 0.51; 95% CI, [0.27–0.95]; P = 0.035). These two parameters were independent of embryo kinetics. The 33 remaining parameters had no significant association with the capacity of transferred embryos to develop to term.LIMITATIONS, REASONS FOR CAUTIONEven though the population size was relatively small, our analyses were based on homogeneous cycles, i.e. young women whose transferred embryos were found to be high-grade according to conventional morphology evaluation. In addition, our conclusions were established from a specific, highly selected population, so other study populations, such as women in an older age bracket, may yield different results. Finally, because we assessed day 2/3 transfers, our findings cannot be generalized to embryos cultured up to the blastocyst stage.WIDER IMPLICATIONS OF THE FINDINGSIt would be interesting to explore, prospectively, whether PN localisation is a relevant measure to predict embryo development when added into further algorithms and whether this parameter could be suitable for use in other IVF clinics. Further studies are needed, notably to explore the added value of timing evaluation in cohorts of embryos with low or intermediate morphology grade, as well as in other maternal populations (i.e. older women).STUDY FUNDING/COMPETING INTEREST(S)No external funding was used for this study. P. Sagot received funding from the following commercial companies: Merck Serono, Finox Biotech, Ferring, MSD France SAS, Teva Sante ́ SAS, Allergan France, Gedeon Richter France, Effik S.A., Karl Storz Endoscopie France, GE Medical Systems SCS, Laboratoires Genevrier, H.A.C. Pharma and Ipsen.All the authors confirm that none of this funding was used to support the research in this study. There are no patents, products in development or marketed products to declare. This does not alter the authors’ adherence to all the journal policies on sharing data and materials.


2011 ◽  
Vol 71 ◽  
pp. e53
Author(s):  
Ryosuke Enoki ◽  
Shigeru Kuroda ◽  
Daisuke Ono ◽  
Tetsuo Ueda ◽  
Hasan Mazhir ◽  
...  

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