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

Storr, Ashleigh; Venetis, Christos A.; Cooke, Stephen A.; Susetio, Daisy; Kilani, Suha; Ledger, William

doi:10.1007/s10815-015-0534-y

Cited by 34 publications

(27 citation statements)

References 28 publications

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“…Combining time-lapse imaging with comparative genomic hybridization (CGH), Chawla et al found that some significant morphokinetic parameters can be used as markers to predict aneuploidies [19]. Meanwhile, different assessment assays and statistical models were applied to refine the morphokinetic variables and increase the chance of predicting a top-quality blastocyst [20]. However, considering the potential technical and statistical error in time-lapse imaging, one should be cautious in overinterpreting the results [21][22][23][24].…”

Section: Bf Samplingmentioning

confidence: 99%

Recent advances in preimplantation genetic diagnosis and screening

Huang

et al. 2016

J Assist Reprod Genet

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Preimplantation genetic diagnosis/screening (PGD/PGS) aims to help couples lower the risks of transmitting genetic defects to their offspring, implantation failure, and/or miscarriage during in vitro fertilization (IVF) cycles. However, it is still being debated with regard to the practicality and diagnostic accuracy of PGD/PGS due to the concern of invasive biopsy and the potential mosaicism of embryos. Recently, several non-invasive and high-throughput assays have been developed to help overcome the challenges encountered in the conventional invasive biopsy and low-throughput analysis in PGD/PGS. In this mini-review, we will summarize the recent progresses of these new methods for PGD/PGS and discuss their potential applications in IVF clinics.

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Section: Bf Samplingmentioning

confidence: 99%

Recent advances in preimplantation genetic diagnosis and screening

Huang

et al. 2016

J Assist Reprod Genet

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“…In mouse embryos the first mitosis lasts for 90–120 min, whereas the second lasts only 60–80 min 16 , 17 . The human first embryonic mitosis is also very long (approximately 2,5–3hrs 20 – 24 ), and although there are no published data on the length of the second embryonic mitosis, some observations confirm that it tends to be markedly shorter (R. Milewski, J. Czerniecki, S. Wołczyński, unpublished data). By comparison, in somatic cells the length of M-phase varies between 30 and 60 min, depending on the cell type and on the length of the SAC-regulated prometaphase, i.e.…”

Section: Introductionmentioning

confidence: 99%

Delayed APC/C activation extends the first mitosis of mouse embryos

Ajduk

Strauss

Pines

et al. 2017

Sci Rep

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The correct temporal regulation of mitosis underpins genomic stability because it ensures the alignment of chromosomes on the mitotic spindle that is required for their proper segregation to the two daughter cells. Crucially, sister chromatid separation must be delayed until all the chromosomes have attached to the spindle; this is achieved by the Spindle Assembly Checkpoint (SAC) that inhibits the Anaphase Promoting Complex/Cyclosome (APC/C) ubiquitin ligase. In many species the first embryonic M-phase is significantly prolonged compared to the subsequent divisions, but the reason behind this has remained unclear. Here, we show that the first M-phase in the mouse embryo is significantly extended due to a delay in APC/C activation. Unlike in somatic cells, where the APC/C first targets cyclin A2 for degradation at nuclear envelope breakdown (NEBD), we find that in zygotes cyclin A2 remains stable for a significant period of time after NEBD. Our findings that the SAC prevents cyclin A2 degradation, whereas over-expressed Plk1 stimulates it, support our conclusion that the delay in cyclin A2 degradation is caused by low APC/C activity. As a consequence of delayed APC/C activation cyclin B1 stability in the first mitosis is also prolonged, leading to the unusual length of the first M-phase.

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“…The quantitative evaluation of embryo characteristics with digital imaging systems has become an active research area 9,10 , and efforts have been made to improve objectivity during the embryo selection process by combining multiple morphological parameters and morphokinetic analysis in mathematical models, aiming to generate predictive capabilities for development potential and implantation. Such models, however, are often limited to initial development stages of the embryo, dependent on currently existing classifications, or require sophisticated time-lapse microscopy systems [11][12][13][14] .…”

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confidence: 99%

Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning

Chávez-Badiola¹,

Farías²,

Mendizabal-Ruiz

et al. 2020

Sci Rep

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Assessing the viability of a blastosyst is still empirical and non-reproducible nowadays. We developed an algorithm based on artificial vision and machine learning (and other classifiers) that predicts pregnancy using the beta human chorionic gonadotropin (b-hCG) test from both the morphology of an embryo and the age of the patients. We employed two high-quality databases with known pregnancy outcomes (n = 221). We created a system consisting of different classifiers that is feed with novel morphometric features extracted from the digital micrographs, along with other non-morphometric data to predict pregnancy. It was evaluated using five different classifiers: probabilistic bayesian, Support Vector Machines (SVM), deep neural network, decision tree, and Random Forest (RF), using a k-fold cross validation to assess the model's generalization capabilities. In the database A, the SVM classifier achieved an F1 score of 0.74, and AUC of 0.77. In the database B the RF classifier obtained a F1 score of 0.71, and AUC of 0.75. Our results suggest that the system is able to predict a positive pregnancy test from a single digital image, offering a novel approach with the advantages of using a small database, being highly adaptable to different laboratory settings, and easy integration into clinical practice.

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

Cited by 34 publications

References 28 publications

Recent advances in preimplantation genetic diagnosis and screening

Recent advances in preimplantation genetic diagnosis and screening

Delayed APC/C activation extends the first mitosis of mouse embryos

Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning

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