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基于云的自动软件评估胚胎着床潜能。

Assessment of embryo implantation potential with a cloud-based automatic software.

机构信息

IVF laboratory, IVI-RMA Global, Valencia 46015, Spain.

IVF laboratory, IVI-RMA Global, Valencia 46015, Spain.

出版信息

Reprod Biomed Online. 2021 Jan;42(1):66-74. doi: 10.1016/j.rbmo.2020.09.032. Epub 2020 Oct 10.

DOI:10.1016/j.rbmo.2020.09.032
PMID:33189576
Abstract

RESEARCH QUESTION

Is embryo selection by Dana (automatic software for embryo evaluation) associated with a higher implantation rate in IVF treatments?

DESIGN

A three-phase study for Dana system's validation: creation of a data-cloud of known implantation data (KID) embryos from 1676 transferred embryos; embryo evaluation by Dana considering manual annotations and embryo development videos (389 transferred embryos); and validation of Dana automatic selection, without embryologist's intervention (147 transferred embryos); RESULTS: The implantation rate of the 1021 KID embryos from phase 1 served to set four grades of embryos referring to implantation rate: A = 34%, B = 25%, C = 24%, and D = 19%. Phase 2: a classification ranking according to the unit average distance (UAD) and implantation potential was established: top (UAD ≤0.50), high (UAD = 0.51-0.66), medium (UAD = 0.67-1.03) and low (UAD >1.03). Pregnancy rates were 59%, 46%, 36% and 28%, respectively (P < 0.001). Phase 3: embryos were automatically categorized according to Dana's classification ranking. Most implanted embryos were found in groups top, high and medium (UAD ≤1.03), whereas the implantation rate in group low (UAD >1.03) was significantly lower: 46% versus 25%, respectively (P = 0.037). The twin gestation rate was higher when number of top embryos (UAD ≤0.5) transferred were two (52%) versus one (25%) (P < 0.001).

CONCLUSIONS

Embryo selection based on Dana ranking increases the success of IVF treatments at least in oocyte donation programmes. The multicentre nature of the study supports its applicability at different clinics, standardizing the embryo development's interpretation. Dana's innovation is that the system increases its accuracy as the database grows.

摘要

研究问题

胚胎选择软件 Dana 是否与 IVF 治疗中的更高着床率相关?

设计

Dana 系统验证的三阶段研究:创建一个已知着床数据(KID)胚胎的数据云(来自 1676 个移植胚胎);Dana 胚胎评估,考虑手动注释和胚胎发育视频(389 个移植胚胎);以及在没有胚胎学家干预的情况下验证 Dana 自动选择(147 个移植胚胎);

结果

第一阶段的 1021 个 KID 胚胎的着床率用于设定四个胚胎着床率等级:A=34%,B=25%,C=24%,D=19%。第二阶段:根据单位平均距离(UAD)和着床潜力建立了分类排名:顶级(UAD≤0.50)、高(UAD=0.51-0.66)、中(UAD=0.67-1.03)和低(UAD>1.03)。妊娠率分别为 59%、46%、36%和 28%(P<0.001)。第三阶段:根据 Dana 的分类排名,胚胎自动分类。大多数着床胚胎出现在 UAD≤1.03 的顶级、高和中级别,而 UAD>1.03 的低级别的着床率明显较低:分别为 46%和 25%(P=0.037)。当移植两个(52%)而不是一个(25%)顶级胚胎(UAD≤0.5)时,双胞胎妊娠率更高(P<0.001)。

结论

基于 Dana 排名的胚胎选择至少在卵母细胞捐赠计划中增加了 IVF 治疗的成功率。该研究的多中心性质支持其在不同诊所的适用性,标准化了胚胎发育的解释。Dana 的创新之处在于,随着数据库的增长,系统的准确性会提高。

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