Comparison of day 5 blastocyst with day 6 blastocyst: Evidence from NGS-based PGT-A results

Tong, Jing; Niu, Yichao; Wan, Anran; Zhang, Ting

doi:10.1007/s10815-022-02397-0

Cited by 11 publications

(4 citation statements)

References 24 publications

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“…Similarly, in human embryo data, maternal age significantly impacts the morphokinetics [ 60 ] and is associated with not only faster cleavage stages [ 75 ] but also slower blastulation development [ 76 , 77 ]. In human IVF, slower blastulation is associated with lower pregnancy and higher aneuploidy rates [ 78 ]. Faster cleavage is also seen in other diseases such as endometriosis [ 79 ], maternal obesity [ 80 ], and polycystic ovarian syndrome [ 19 ].…”

Section: Discussionmentioning

confidence: 99%

Machine learning in time-lapse imaging to differentiate embryos from young vs old mice

Yang,

Leynes,

Pawelka

et al. 2024

Biology of Reproduction

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Time-lapse microscopy for embryos is a non-invasive technology used to characterize early embryo development. This study employs time-lapse microscopy and machine learning to elucidate changes in embryonic growth kinetics with maternal aging. We analyzed morphokinetic parameters of embryos from young and aged C57BL6/NJ mice via continuous imaging. Our findings show that aged embryos accelerated through cleavage stages (from 5-cells) to morula compared to younger counterparts, with no significant differences observed in later stages of blastulation. Unsupervised machine learning identified two distinct clusters comprising of embryos from aged or young donors. Moreover, in supervised learning, the XGBoost (extreme gradient boosting) algorithm successfully predicted the age-related phenotype with 0.78 accuracy, 0.81 precision, and 0.83 recall following hyperparameter tuning. These results highlight two main scientific insights: maternal aging affects embryonic development pace, and that AI can differentiate between embryos from aged and young maternal mice by a non-invasive approach. Thus, machine learning can be used to identify morphokinetics phenotypes for further studies. This study has potential for future applications in selecting human embryos for embryo transfer, without or in complement with preimplantation genetic testing.

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Section: Discussionmentioning

confidence: 99%

Machine learning in time-lapse imaging to differentiate embryos from young vs old mice

Yang,

Leynes,

Pawelka

et al. 2024

Biology of Reproduction

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“…This result concords with previous studies that reported the significant negative effects of delayed development on live birth in frozen-thawed ET cycles ( 20 , 21 , 22 ). The lower ongoing pregnancy rate with day 6 blastocysts may be attributable to the higher aneuploidy rate in delayed blastulation ( 23 , 24 , 25 ). However, the chromosomal factor may not solely explain the difference in pregnancy rate because day 5 and 6 euploid blastocysts still showed different implantation potential, even with similar morphological grades ( 26 ).…”

Section: Discussionmentioning

confidence: 99%

Morphometric assessment of blastocysts: relationship with the ongoing pregnancy rate

Utsuno¹,

Ishimaru²,

Matsumoto³

et al. 2023

F&S Reports

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“…13 The euploid rate of day 5 blastocysts is significantly higher than that of day 6 blastocysts. 14 Day 5 blastocysts in oocyte donation program have significantly higher clinical pregnancy rates (CPRs) and live birth rates (LBRs), and present shorter time to delivery, compared to day 6 blastocysts, regardless of embryo quality. 15 In our study, the oocyte maturation rate, oocyte morphology, fertilization rate, cleavage rate, day 3 good embryo rates, and day 5 blastocyst rate were affected in prolonged stimulation group.…”

Section: Discussion a N D Conclusionmentioning

confidence: 99%

Comparison of Effects of Stimulation Days on Oocyte Morphology and Day 5 Blastocyst Rate in ICSI Cycle

Sharma,

Babu,

Nagaraj

et al. 2023

Journal of Obstetric and Gynaecological Practices POGS

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Aim: To compare and identify the effect of normal and prolonged stimulation on oocyte morphology and day 5 blastocyst rate in intracytoplasmic sperm injection (ICSI) cycle in normal reserve patients. Materials and methodology:A comparative study where two groups were considered-patients undergoing controlled ovarian stimulation for ICSI cycle with anti-müllerian hormone (AMH) 2-4 ng/mL with stimulation days of 10 and 11, and patients undergoing controlled ovarian stimulation for ICSI cycle with AMH 2-4 ng/mL with stimulation days of 12, 13, and 14 between March 2023 and May 2023. The mean AMH value was 2.91 ng/mL. The mean age of the patients in normal stimulation was 31.25 years and in prolonged stimulation was 33.11 years. Around 34 patients (403 oocytes) were analyzed in normal stimulation and 32 patients (303 oocytes) were analyzed in prolonged stimulation. Type of trigger, gonadotropin used, and the dosage were not considered. Result: The oocyte maturation rate, fertilization rate, cleavage rate, day 3 good embryo rate, and day 5 blastocyst rate of normal stimulation are 76, 82, 76, 61, and 39%, respectively. The oocytes with single, double, and multiple defects of normal stimulation are 23, 55, and 22%, respectively. The oocyte maturation rate, fertilization rate, cleavage rate, day 3 good embryo rate, and day 5 blastocyst rate of prolonged stimulation are 76, 84, 76, 64, and 30%, respectively. The oocytes with single, double, and multiple defects of normal stimulation are 6, 41, and 77%, respectively. The p-value for the oocyte maturation rate was 0.032535731 and the p-value for day 5 blastocyst rate was 0.003925882. Conclusion: Prolonged stimulation is associated with oocyte maturation rate, oocyte morphology, and day 5 blastocyst rate.

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Comparison of day 5 blastocyst with day 6 blastocyst: Evidence from NGS-based PGT-A results

Cited by 11 publications

References 24 publications

Machine learning in time-lapse imaging to differentiate embryos from young vs old mice

Machine learning in time-lapse imaging to differentiate embryos from young vs old mice

Morphometric assessment of blastocysts: relationship with the ongoing pregnancy rate

Comparison of Effects of Stimulation Days on Oocyte Morphology and Day 5 Blastocyst Rate in ICSI Cycle

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