Noor Nilofar, Vignarajan Chithira Pulimoottil, Malhotra Neena, Vanamail Perumal
Department of Obstetrics and Gynaecology, Reproductive Medicine Unit, All India Institute of Medical Sciences, New Delhi, India.
J Hum Reprod Sci. 2020 Oct-Dec;13(4):296-302. doi: 10.4103/jhrs.JHRS_91_20. Epub 2020 Dec 28.
To compare the oocyte yield using three-dimensional (3D) automated and two-dimensional (2D) ultrasound-based follicle tracking in women undergoing fertilization-embryo transfer (IVF-ET).
A randomized controlled trial was conducted in the Reproductive Medicine Unit of a teaching medical institute from January 2017 to December 2018.
A total of 130 patients undergoing IVF-ET were enrolled and randomized into two groups (65 patients in each group). In Group A, follicular tracking during controlled ovarian stimulation (COS) was done using 3D Sonography- based Automated Volume Count (SonoAVC), whereas in Group B, follicular tracking was done by manual ultrasonography (2D USG). The primary outcome measures were the number of oocytes retrieved (the total number and the number of mature oocytes). Secondary outcomes were fertilization rate, cleavage rate, total number of embryos and time taken to perform scans. Other outcome measures were clinical pregnancy rate, miscarriage rate and live birth rate (LBR).
Chi-square test, Student's -test, Z-test, Wilcoxon rank-sum test, Bland-Altman's plot.
The two groups were comparable with regard to assisted reproductive technology (ART) outcomes. Group B required more time for performing the scan ( < 0.01).
Automated SonoAVC ultrasound can be used interchangeably with manual 2D USG for follicle tracking during COS giving comparable ART outcomes with the added advantage of saving time. Our study implies the promising results of applying artificial intelligence in follicular tracking during COS.
比较在接受体外受精 - 胚胎移植(IVF - ET)的女性中,使用三维(3D)自动和二维(2D)超声卵泡跟踪技术获取的卵母细胞数量。
于2017年1月至2018年12月在一所教学医学院的生殖医学科进行了一项随机对照试验。
共纳入130例行IVF - ET的患者并随机分为两组(每组65例)。A组在控制性卵巢刺激(COS)期间使用基于3D超声的自动容积计数(SonoAVC)进行卵泡跟踪,而B组通过手动超声检查(2D USG)进行卵泡跟踪。主要观察指标为获取的卵母细胞数量(总数和成熟卵母细胞数量)。次要观察指标为受精率、卵裂率、胚胎总数和扫描所需时间。其他观察指标为临床妊娠率、流产率和活产率(LBR)。
卡方检验、学生t检验、Z检验、Wilcoxon秩和检验、Bland - Altman图。
两组在辅助生殖技术(ART)结局方面具有可比性。B组进行扫描所需时间更长(P < 0.01)。
在COS期间,自动SonoAVC超声可与手动2D USG互换使用进行卵泡跟踪,ART结局相当,且具有节省时间的额外优势。我们的研究表明在COS期间应用人工智能进行卵泡跟踪有良好前景。