怀孕长度测量错误:比较最后的月经周期和超声波与基于排卵的估计
相关实验视频
Updated: Jan 17, 2026

07:59
Ultrasonography in Experimental Reproductive Investigations on Rats
Published on: December 2, 2017
15.0K
Ginna L Doss1,2, Julie L Daniels2, Sunni L Mumford3
1From the Epidemiology Branch, Department of Health and Human Services (DHHS), National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC.
Epidemiology (Cambridge, Mass.)
|September 22, 2025
概括
排卵提供了比最后一次月经 (LMP) 或超声波更准确的怀孕日期. 这项研究强调了与排卵相比,使用LMP或超声波检测早产的潜在错误分类.
科学领域:
- 生殖科学 生殖科学
- 产科 产科 产科 产科 产科
- 周围生理学 周围生理学
背景情况:
- 最后的月经周期 (LMP) 和超声波是估计妊娠年龄的标准方法.
- 排卵发生在受精前不久,为怀孕时间提供了一个潜在的更精确的标记.
研究的目的:
- 用LMP,超声波和排卵来比较怀孕约会和早产检测的准确性.
- 评估LMP和超声波对排卵的敏感性和特异性作为黄金标准.
主要方法:
- 分析了阿司匹林对妊娠和生殖 (EAGeR) 试验的影响 (n=392) 的数据.
- 包括具有前性记录LMP的参与者,来自生育监测器的排卵数据,以及早期冠状长度测量.
- 使用LMP,超声波和排卵来估计怀孕时间,早产患病率和妊娠年龄的大小.
主要成果:
- 按LMP日期的怀孕时间最长,而根据超声波日期的怀孕时间最短.
- 根据约会方法,早产患病率有所不同:7% (LMP),10% (超声波) 和8% (排卵).
- 超声波 (94%) 在检测早产与排卵相比的超声波 (94%) 显示出比LMP (76%) 更高的灵敏度,特异性为97% (超声波) 和100% (LMP).
结论:
- 排卵可以作为更准确的参考,用于怀孕日期和早产评估.
- 使用LMP和超声波观察到的错误分类表明流行病学研究中的潜在偏差.
- 这些发现强调了准确的妊娠年龄确定对临床和研究结果的重要性.
相关概念视频
Ovarian Cycle
3.5K
The menstrual cycle includes a critical component known as the ovarian cycle, which undergoes two main phases each month—the follicular phase and the luteal phase. The follicular phase is variable and averaging around 14 days. Ovulation, triggered by a surge in luteinizing hormone (LH), marks the transition between the two phases. The second phase, the luteal phase, is relatively consistent, lasting approximately 14 days, and is marked by the activity of the corpus luteum. While a cycle...
3.5K
Uncertainty in Measurement: Accuracy and Precision
99.9K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
99.9K

