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人工智能驱动的卵细胞评估,用于预测严重男性因子不育症患者的爆发和高质量的胚胎细胞形成
Edson Borges1, Daniela Braga2, Maite Del Collado2
1Clinical Department, Fertility Medical Group/FertGroup Medicina Reprodutiva, São Paulo, Brazil; Scientific Research, Sapientiae Institute, Centro de Estudos e Pesquisa em Reprodução Humana Assistida, São Paulo, Brazil.
F&S science
|July 17, 2025
概括
人工智能 (AI) 使用Magenta分数 (MS) 的卵细胞评估与细胞内注射精子 (ICSI) 周期中的更好的胚胎细胞发育和质量有关,即使是严重的男性因子不孕症 (SMF). 较高的MS表明受精和高质量的胚胎细胞形成的可能性更大.
科学领域:
- 生殖医学 生殖医学
- 医疗保健中的人工智能
- 胚胎学 胚胎学
背景情况:
- 内细胞质精子注射 (ICSI) 是不孕症的关键治疗方法.
- 严重的男性因子不孕症 (SMF) 在ICSI成功率方面提出了独特的挑战.
- 客观的卵细胞评估对于优化ICSI结果至关重要.
研究的目的:
- 调查人工智能驱动的卵细胞评估 (红分数) 与胚胎细胞发育/质量之间的关联.
- 评估AI在ICSI周期中预测胚胎潜力的实用性,特别是在SMF的夫妇中.
主要方法:
- 一项回顾性队列研究分析了来自2,156个ICSI周期的14,602个卵细胞图像.
- 周期被分为严重男性因子不孕症 (SMF) 和非SMF组.
- 人工智能工具MAGENTA对卵细胞进行了评分,并评估了其对受精和胚胎细胞形成的预测价值.
主要成果:
- 较高的红色分数 (MS) 与成功受精和胚胎细胞形成有显著的关联.
- 囊胚,特别是高质量的胚胎,与非囊胚和低质量的胚胎相比,表现出更高的MS.
- 虽然SMF周期显示出较低的爆发率和最高质量的爆发细胞率,但即使根据父亲年龄进行调整,MS仍然是一个重要的预测因素.
结论:
- 基于人工智能的卵细胞评估 (MAGENTA) 是预测受精,爆发和胚胎质量的宝贵工具,用于ICSI周期,包括SMF周期.
- 多发性硬化有效地识别出具有更高发育潜力的卵细胞,而不考虑男性不孕症因素.
- 当前人工智能算法缺乏精子特异性因素可能会限制其对男性不孕症影响的全面评估.
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