• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

巨大胎儿的产前检测:临床与超声检查对比,包括软组织测量

Antepartum detection of macrosomic fetus: clinical versus sonographic, including soft-tissue measurements.

作者信息

Chauhan S P, West D J, Scardo J A, Boyd J M, Joiner J, Hendrix N W

机构信息

Spartanburg Regional Medical Center, Spartanburg, South Carolina, USA.

出版信息

Obstet Gynecol. 2000 May;95(5):639-42. doi: 10.1016/s0029-7844(99)00606-7.

DOI:10.1016/s0029-7844(99)00606-7
PMID:10775720
Abstract

OBJECTIVE

To compare clinical and sonographic estimates of birth weights with five new estimation techniques that involve measurements of soft tissue, for identifying newborns with birth weights of at least 4000 g.

METHODS

Over 1 year, each woman at or after 36 weeks' gestation and suspected of having a macrosomic fetus had clinical and sonographic estimates of fetal weight (EFW) based on femur length (FL) and head and abdominal circumference, followed by five additional ways to identify excessive growth: cheek-to-cheek diameter, thigh soft tissue, ratio of thigh soft tissue to FL, upper arm subcutaneous tissue, and EFW derived from it. Areas (+/- standard error) of receiver operating characteristic (ROC) curves were calculated and compared with the area under the nondiagnostic line. P <.05 was considered statistically significant.

RESULTS

Among 100 women recruited, 28 newborns weighed 4000 g or more. The areas under the ROC curves with clinical (0.72 +/- 0.06) and sonographic predictions using biometric characteristics (0.73 +/- 0.06) had the highest but similar accuracies (P.05). Three of the five newer methods (upper arm or thigh subcutaneous tissue and ratio of thigh subcutaneous tissue to FL) were poor diagnostic tests (range of areas under ROC 0.52 +/- 0.06 to 0.58 +/- 0.07). Estimated fetal weight based on upper arm soft tissue thickness and cheek-to-cheek diameter (areas 0.70 +/- 0.06 and 0.67 +/- 0.06, respectively) were not significantly better than clinical predictions (P.05) for detecting macrosomic fetuses. About 110 macrosomic and nonmacrosomic infants combined would be needed to have 80% power to detect a difference between ROC curves with areas of 0.58 (thigh subcutaneous tissue) and 0.72 (clinical estimate).

CONCLUSION

ROC curves indicated that measurements of soft tissue are not superior to clinical or sonographic predictions in identifying fetuses with weights of at least 4000 g.

摘要

目的

比较临床和超声对出生体重的估计值与五种涉及软组织测量的新估计技术,以识别出生体重至少为4000克的新生儿。

方法

在1年多的时间里,对每一位妊娠36周及以后且疑似怀有巨大胎儿的孕妇,基于股骨长度(FL)、头围和腹围进行临床和超声胎儿体重(EFW)估计,随后采用另外五种方法来识别过度生长:双颊直径、大腿软组织、大腿软组织与FL的比值、上臂皮下组织以及由此得出的EFW。计算受试者操作特征(ROC)曲线的面积(±标准误差),并与非诊断线下方的面积进行比较。P<0.05被认为具有统计学意义。

结果

在招募的100名女性中,有28名新生儿体重达到或超过4000克。临床估计(0.72±0.06)和使用生物特征的超声预测(0.73±0.06)的ROC曲线下面积具有最高但相似的准确性(P>0.05)。五种新方法中的三种(上臂或大腿皮下组织以及大腿皮下组织与FL的比值)诊断效果不佳(ROC曲线下面积范围为0.52±0.06至0.58±0.07)。基于上臂软组织厚度和双颊直径的估计胎儿体重(面积分别为0.70±0.06和0.67±0.06)在检测巨大胎儿方面并不比临床预测显著更好(P>0.05)。大约需要110名巨大儿和非巨大儿组合起来,才有80%的把握检测出ROC曲线下面积为0.58(大腿皮下组织)和0.72(临床估计)之间的差异。

结论

ROC曲线表明,在识别体重至少为4000克的胎儿方面,软组织测量并不优于临床或超声预测。

相似文献

1
Antepartum detection of macrosomic fetus: clinical versus sonographic, including soft-tissue measurements.巨大胎儿的产前检测:临床与超声检查对比,包括软组织测量
Obstet Gynecol. 2000 May;95(5):639-42. doi: 10.1016/s0029-7844(99)00606-7.
2
Screening efficacy of the subcutaneous tissue width/femur length ratio for fetal macrosomia in the non-diabetic pregnancy.皮下组织宽度与股骨长度比值对非糖尿病妊娠巨大儿的筛查效能
Ultrasound Obstet Gynecol. 1999 May;13(5):340-4. doi: 10.1046/j.1469-0705.1999.13050340.x.
3
Incorporating sonographic cheek-to-cheek diameter, biparietal diameter and abdominal circumference improves weight estimation in the macrosomic fetus.纳入超声测量的双颊径、双顶径和腹围可改善巨大胎儿体重估计。
Ultrasound Obstet Gynecol. 1997 Jun;9(6):409-13. doi: 10.1046/j.1469-0705.1997.09060409.x.
4
Prediction of macrosomia by serial sonographic measurements of fetal soft-tissues and the liver in women with pregestational diabetes.通过对患有孕前糖尿病的女性胎儿软组织和肝脏的连续超声测量来预测巨大儿。
Diabetes Metab. 2013 Dec;39(6):511-8. doi: 10.1016/j.diabet.2013.03.004. Epub 2013 May 2.
5
Estimation of birthweight by measurement of fetal thigh soft-tissue thickness improves the detection of macrosomic fetuses.通过测量胎儿大腿软组织厚度来估计出生体重可提高对巨大胎儿的检测率。
Acta Obstet Gynecol Scand. 2014 Dec;93(12):1325-8. doi: 10.1111/aogs.12470. Epub 2014 Sep 17.
6
Intrapartum detection of a macrosomic fetus: clinical versus 8 sonographic models.
Aust N Z J Obstet Gynaecol. 1995 Aug;35(3):266-70. doi: 10.1111/j.1479-828x.1995.tb01978.x.
7
Estimation of fetal weight by measurement of fetal thigh soft-tissue thickness in the late third trimester.孕晚期通过测量胎儿大腿软组织厚度估计胎儿体重。
Ultrasound Obstet Gynecol. 2008 Mar;31(3):314-20. doi: 10.1002/uog.5253.
8
Third trimester ultrasound soft-tissue measurements accurately predicts macrosomia.孕晚期超声软组织测量可准确预测巨大儿。
J Matern Fetal Neonatal Med. 2017 Apr;30(8):972-976. doi: 10.1080/14767058.2016.1193144. Epub 2016 Jun 13.
9
Correctly identifying the macrosomic fetus: improving ultrasonography-based prediction.正确识别巨大胎儿:改进基于超声检查的预测。
Am J Obstet Gynecol. 2000 Jun;182(6):1489-95. doi: 10.1067/mob.2000.106853.
10
Comparison of 2- and 3-Dimensional Sonography for Estimation of Birth Weight and Neonatal Adiposity in the Setting of Suspected Fetal Macrosomia.二维和三维超声检查在疑似巨大儿情况下估计出生体重和新生儿肥胖程度的比较
J Ultrasound Med. 2016 Jun;35(6):1123-9. doi: 10.7863/ultra.15.06106. Epub 2016 Apr 18.

引用本文的文献

1
Improving the accuracy of screening for large-for-gestational-age fetuses: a multicenter observational study.提高大于胎龄儿筛查的准确性:一项多中心观察性研究。
J Perinat Med. 2025 May 23. doi: 10.1515/jpm-2025-0015.
2
Accuracy of Estimated Fetal Weight by Ultrasound Versus Leopold Maneuver.超声估计胎儿体重与 Leopold 手法的准确性比较。
Ultrasound Q. 2024 Mar 1;40(1):87-92. doi: 10.1097/RUQ.0000000000000670.
3
Correlation of Fetal Anterior Abdominal Wall Thickness and Other Standard Biometric Ultrasound Measurements to Predict Fetal Macrosomia in Gestational Diabetes.
胎儿前腹壁厚度与其他标准生物测量超声指标的相关性对妊娠期糖尿病胎儿巨大儿的预测作用
J Med Ultrasound. 2022 May 27;31(1):29-34. doi: 10.4103/JMU.JMU_57_21. eCollection 2023 Jan-Mar.
4
Impact of induction of labor in fetal macrosomia: comparative series from 256 cases.胎儿巨大儿引产的影响:256 例的对比系列。
Arch Gynecol Obstet. 2022 Oct;306(4):959-967. doi: 10.1007/s00404-022-06685-z. Epub 2022 Jul 19.
5
Fetal weight estimation at term - ultrasound versus clinical examination with Leopold's manoeuvres: a prospective blinded observational study.足月胎儿体重估计 - 超声与临床检查(Leopold 手法):一项前瞻性盲法观察研究。
BMC Pregnancy Childbirth. 2019 Apr 11;19(1):122. doi: 10.1186/s12884-019-2251-5.
6
Protocol for the prospective observational clinical study: estimation of fetal weight by MRI to PREdict neonatal MACROsomia (PREMACRO study) and small-for-gestational age neonates.前瞻性观察性临床研究方案:磁共振成像估计胎儿体重以预测新生儿巨体(PREMACRO 研究)和小于胎龄儿。
BMJ Open. 2019 Mar 27;9(3):e027160. doi: 10.1136/bmjopen-2018-027160.
7
Current knowledge on the use of ultrasound measurements of fetal soft tissues for the assessment of pregnancy development.关于使用超声测量胎儿软组织评估妊娠发育的当前知识。
J Ultrason. 2018 Mar;18(72):50-55. doi: 10.15557/JoU.2018.0008. Epub 2018 Mar 30.
8
Fetal weight estimation for prediction of fetal macrosomia: does additional clinical and demographic data using pattern recognition algorithm improve detection?用于预测巨大儿的胎儿体重估计:使用模式识别算法的额外临床和人口统计学数据能否提高检测率?
J Prenat Med. 2008 Jan;2(1):1-5.
9
A new algorithm for improving fetal weight estimation from ultrasound data at term.一种新的算法,用于提高足月时超声数据估算胎儿体重的准确性。
Arch Gynecol Obstet. 2011 Mar;283(3):469-74. doi: 10.1007/s00404-010-1390-8. Epub 2010 Feb 20.
10
Fractional limb volume--a soft tissue parameter of fetal body composition: validation, technical considerations and normal ranges during pregnancy.胎儿身体成分的软组织参数--肢体体积分数:验证、技术考虑因素和妊娠期间的正常范围。
Ultrasound Obstet Gynecol. 2009 Apr;33(4):427-40. doi: 10.1002/uog.6319.