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在卵巢刺激中探索淋巴激素剂量对MII卵细胞检索的影响

Krystian Zieliński^1,2, Anna Kloska^3,4, Piotr Wygocki⁵

¹INVICTA Research and Development Center, Sopot, Poland.

Journal of assisted reproduction and genetics

|April 4, 2024

概括

较高的淋巴激素剂量不会在体外受精 (IVF) 中改善成熟卵细胞的检索. 一个机器学习模型准确地预测了卵细胞产量,帮助临床医生优化刺激协议以获得更好的结果.

科学领域:

生殖内分泌学和不孕不育问题
医学中的人工智能
临床试验数据分析.

背景情况:

用淋巴激素刺激卵巢是体外受精 (IVF) 成功的关键.
优化淋巴激素剂量对于最大限度地提高成熟卵细胞产量至关重要.
预测建模可以潜在地完善个性化治疗策略.

研究的目的:

开发一种机器学习 (ML) 模型,用于预测试管婴儿患者的成熟卵细胞 (MII) 数量.
为了回顾性地分析不同淋巴激素剂量对卵巢刺激结果的影响.
为了确定更高的淋巴激素剂量是否与改善的MII卵细胞检索相关.

主要方法:

对9598次卵巢刺激周期的分析.
开发一种ML模型,使用临床参数预测MII卵细胞计数.
将ML预测的MII计数与实际检索的MII卵细胞在不同淋巴激素剂量之间进行比较.

主要成果:

ML模型准确地预测了MII计数,其中抗米勒尔激素 (AMH) 和叶细胞计数 (AFC) 是关键预测因素.
增加淋巴激素剂量并没有导致获得的MII卵细胞数量增加.
对于预测MII产量低 (1-3) 和高 (9-12) 的患者,确定了225 IU的最佳每日剂量;较低/较高的剂量效果较差.

结论:

高剂量的淋巴激素不会在试管婴儿中增强MII卵细胞的检索.
开发的ML模型为预测MII卵细胞提供了一个精确的工具.
这种预测能力可以指导临床医生优化淋巴激素剂量,以实现个性化的卵巢刺激.

关键词:

冠状腺素的剂量冠状腺素的剂量在这个过程中,IVF IVF.有数百万个卵子细胞.机器学习模型机器学习模型卵巢刺激卵巢刺激

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