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控制性卵巢刺激过程中卵母细胞成熟和卵子采集的时机:一项评估手动和自动测量卵泡直径的随机对照试验。

Timing of oocyte maturation and egg collection during controlled ovarian stimulation: a randomized controlled trial evaluating manual and automated measurements of follicle diameter.

机构信息

Nottingham University Research and Treatment Unit in Reproduction, Division of Human Development, School of Clinical Sciences, University of Nottingham, Nottingham, United Kingdom.

出版信息

Fertil Steril. 2010 Jun;94(1):184-8. doi: 10.1016/j.fertnstert.2009.02.063. Epub 2009 Apr 1.

Abstract

OBJECTIVE

To evaluate the effect of a new automated technique of follicle measurement (Sono automated volume calculation [SonoAVC]) on the timing of oocyte maturation and subsequent oocyte retrieval.

DESIGN

Prospective randomized controlled trial.

SETTING

University-based Assisted Conception Unit.

PATIENT(S): Seventy-two women undergoing their first cycle of assisted reproduction treatment.

INTERVENTION(S): The timing of final follicle maturation and oocyte retrieval based on follicle tracking with use of either conventional two-dimensional (2D) ultrasound or SonoAVC.

MAIN OUTCOME MEASURE(S): The number of mature oocytes retrieved and clinical pregnancy rate.

RESULT(S): The number of the mature oocytes collected (10.70 +/- 6.08 vs. 11.43 +/- 6.17), the number of fertilized oocytes (7.27 +/- 4.78 vs. 7.97 +/- 5.25), and the clinical pregnancy rates (42% vs. 43%) were similar with both 2D ultrasound and SonoAVC methods.

CONCLUSION(S): Automated follicle tracking using SonoAVC identifies a comparable number of follicles to real-time 2D ultrasound in this preliminary study. Timing final follicle maturation and egg retrieval on the basis of these automated measures does not appear to improve the clinical outcome of assisted reproduction treatment.

摘要

目的

评估一种新的卵泡测量自动化技术(Sono 自动体积计算[SonoAVC])对卵母细胞成熟时间和随后的卵母细胞采集的影响。

设计

前瞻性随机对照试验。

地点

大学辅助受孕中心。

患者

72 名接受第一次辅助生殖治疗的女性。

干预

基于卵泡跟踪,使用传统二维(2D)超声或 SonoAVC 来确定最终卵泡成熟和卵母细胞采集的时间。

主要观察指标

采集的成熟卵母细胞数量和临床妊娠率。

结果

两种方法(2D 超声和 SonoAVC)采集的成熟卵母细胞数量(10.70±6.08 比 11.43±6.17)、受精卵母细胞数量(7.27±4.78 比 7.97±5.25)和临床妊娠率(42%比 43%)相似。

结论

在本初步研究中,使用 SonoAVC 的自动卵泡跟踪方法与实时 2D 超声相比,可识别出数量相当的卵泡。基于这些自动化测量来确定最终卵泡成熟和卵子采集的时间似乎并不能改善辅助生殖治疗的临床结局。

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