首页|形态动力学联合减数分裂纺锤体观测在卵裂期胚胎筛选中的应用

形态动力学联合减数分裂纺锤体观测在卵裂期胚胎筛选中的应用

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目的 利用胚胎形态动力学联合卵母细胞减数分裂纺锤体(MS)观测,探索预测胚胎发育潜能的卵裂期胚胎筛选方法。方法 回顾性分析2020年8月至2022年6月在苏州市立医院生殖与遗传中心行卵胞浆内单精子注射(ICSI),同时行卵母细胞MS观测和胚胎实时观测培养的46个周期患者的临床资料。根据卵母细胞MS形态、胚胎是否存在异常分裂方式,以及胚胎形态学差异对卵母细胞及卵裂期胚胎进行分类研究,分析胚胎形态动力学参数及MS形态预测胚胎发育潜能的价值,建立预测囊胚形成的早期胚胎分层筛选模型,并利用受试者工作特征(ROC)曲线探讨该模型的预测价值。结果 MS正常组的囊胚形成率显著高于MS异常组(63。6%vs。46。9%,P<0。05);直接分裂(DC)1组的囊胚形成率显著低于DC2组和无DC组(5。0%vs。46。7%、63。9%,P<0。05);D3形态学优质胚胎的囊胚形成率显著高于D3形态学非优质胚胎(79。4%vs。24。6%,P<0。05)。采用多元Logistic回归分析发现,在D3形态学优质胚胎中,3细胞到5细胞的发育时间(cc3)、5细胞到8细胞的发育时间(s3)和MS形态对囊胚形成有预测价值(P<0。05);在D3形态学非优质胚胎中,卵裂球数目对囊胚形成有预测价值(P<0。05)。以此建立了 D3胚胎分层筛选模型,共11级(A~K级),A级最优,K级最劣。该筛选模型对囊胚形成的ROC曲线显示,曲线下面积为0。857[95%CI(0。816,0。899),P=0。000]。结论 采用胚胎形态动力学参数联合MS形态分析建立的D3胚胎分层筛选模型,对胚胎发育潜能具有较好的预测能力。
Application of morphokinetics combined with meiotic spindle observations in cleavage-stage embryo selection
Objective:To explore the embryo selection algorithm involving both morphokinetics and meiotic spindle(MS)morphology for assessing embryonic developmental potential.Methods:The clinical data of 46 cycles of patients who underwent intracytoplasmic sperm injection(ICSI)in the Center of Reproduction and Genetics of Suzhou Municipal Hospital from August 2020 to June 2022 with MS observation and time-lapse monitoring were retrospectively analyzed.The data of oocytes and cleavage stage embryos were divided into groups according to MS morphology,the occurrence of abnormal cleavage and embryonic morphology.The effects of morphokinetic parameters and MS morphology on embryonic developmental potential were analyzed to establish the embryo selection algorithm for predicting blastocyst formation,and to explore the predictive value of the algorithm using the receiver operating characteristic(ROC)curve.Results:The blastocyst formation rate in the MS normal group was significantly higher than that in the MS abnormal group(63.6%vs.46.9%,P<0.05).The blastocyst formation rate of the direct division(DC)1 group was significantly lower than those of the DC2 group and the non-DC group(5.0%vs.46.7%and 63.9%,P<0.05).The blastocyst formation rate of D3 morphology high-quality embryos was significantly higher than that of D3 morphology non-high-quality embryos(79.4%vs.24.6%,P<0.05).Using multiple logistic regression analysis,it was found that,in D3 morphological high-quality embryos,the development duration from 3 cells to 5 cells(cc3)and that from 5 cells to 8 cells(s3)as well as MS morphology had a predictive value for blastocyst formation(P<0.05).In D3 morphological non-high-quality embryos,the number of blastomere had a predictive value for blastocyst formation(P<0.05).Based on these results,the D3 embryo selection algorithm was established with eleven levels(A-K),in which level A was the best and level K was the worst.The ROC curve for blastocyst formation from this selection algorithm showed an area under the curve of 0.857[95%CI(0.816,0.899),P=0.000].Conclusions:The D3 embryo selection algorithm which combined morphokinetics with MS morphology analysis has a better prediction for the embryo development potential.

OocytesBlastomeresEmbryonic developmentTime-lapse imagingSpindle apparatusEmbryo selection

郑爱燕、蒲艳、孟庆霞、王玮、廖桂芝、李红、丁洁

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南京医科大学姑苏学院,南京医科大学附属苏州医院,苏州市立医院,苏州 215002

卵母细胞 卵裂期胚胎 胚胎发育 延时成像 纺锤体 胚胎选择

南京医科大学-西脉临床研究基金国家重点研发计划苏州市临床重点病种资助项目

2022NMUS02042022YFC2702901LCZX202109

2024

生殖医学杂志
北京协和医院 国家人口计生委科学技术研究所

生殖医学杂志

CSTPCD
影响因子:1.24
ISSN:1004-3845
年,卷(期):2024.33(2)
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