延时技术在人工辅助生殖中的临床应用。

IF 3.1 Q1 OBSTETRICS & GYNECOLOGY Therapeutic advances in reproductive health Pub Date : 2020-12-07 eCollection Date: 2020-01-01 DOI:10.1177/2633494120976921
Maria Giulia Minasi, Pierfrancesco Greco, Maria Teresa Varricchio, Paolo Barillari, Ermanno Greco
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引用次数: 4

摘要

辅助生殖实验室面临的一个主要挑战是建立可重复和有效的标准来识别具有最高发育潜力的胚胎。多年来,世界各地为此目的使用了几种方法。最初,标准形态学评估是唯一可行的策略。现在人们普遍认识到,除了作为一种非常主观的胚胎选择策略外,单独的形态学评估具有非常差的预后价值。最近,延时孵化器的出现使得对人类胚胎发育的持续监测成为可能。这项技术迅速传播,世界各地的许多生育诊所产生了大量的数据。然而,迄今为止,对于哪些变量或变量的组合应该在胚胎选择中发挥核心作用,仍然缺乏普遍的共识。许多混杂因素,涉及患者的特点和临床和生物学程序,已经观察到影响胚胎发育。此外,一些研究报告了意想不到的积极结果,即使在存在异常发育标准的情况下。虽然延时技术似乎还没有准备好完全取代更具侵入性的植入前基因检测来识别具有最高植入潜力的胚胎,但可以肯定的是,它的应用正在迅速增长,变得越来越准确。目前正在进行人工智能和深度学习模型的研究,以及将形态动力学与其他非侵入性胚胎发育标志物相结合的研究,为其在不久的将来成功应用于临床目的带来了希望。本综述主要集中于从2000年第一个十年开始发表的数据,当时延时技术被引入不育中心作为常规临床实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The clinical use of time-lapse in human-assisted reproduction.

A major challenge in the assisted reproduction laboratory is to set up reproducible and efficient criteria to identify the embryo with the highest developmental potential. Over the years, several methods have been used worldwide with this purpose. Initially, standard morphology assessment was the only available strategy. It is now universally recognized that besides being a very subjective embryo selection strategy, morphology evaluation alone has a very poor prognostic value. More recently, the availability of time-lapse incubators allowed a continuous monitoring of human embryo development. This technology has spread quickly and many fertility clinics over the world produced a remarkable amount of data. To date, however, a general consensus on which variables, or combination of variables, should play a central role in embryo selection is still lacking. Many confounding factors, concerning both patient features and clinical and biological procedures, have been observed to influence embryo development. In addition, several studies have reported unexpected positive outcomes, even in the presence of abnormal developmental criteria. While it does not seem that time-lapse technology is ready to entirely replace the more invasive preimplantation genetic testing in identifying the embryo with the highest implantation potential, it is certainly true that its application is rapidly growing, becoming progressively more accurate. Studies involving artificial intelligence and deep-learning models as well as combining morphokinetic with other non-invasive markers of embryo development, are currently ongoing, raising hopes for its successful applicability for clinical purpose in the near future. The present review mainly focuses on data published starting from the first decade of 2000, when time-lapse technology was introduced as a routine clinical practice in the infertility centers.

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