Prenatal prediction of postnatal large‐for‐dates neonates using a simplified MRI method: comparison with conventional 2D ultrasound estimates

医学 出生体重 独生子女 产科 胎儿体重 超声波 胎儿 磁共振成像 接收机工作特性 胎龄 怀孕 妊娠期 核医学 放射科 内科学 生物 遗传学
作者
Caroline Kadji,Mieke Cannie,Riccardo De Angelis,M Camus,Magdalena Klass,Stéphanie Fellas,Vera Cecotti,V. Dütemeyer,Jacques Jani
出处
期刊:Ultrasound in Obstetrics & Gynecology [Wiley]
卷期号:52 (2): 250-257 被引量:28
标识
DOI:10.1002/uog.17523
摘要

ABSTRACT Objective To evaluate the performance of a simple semi‐automated method for estimation of fetal weight (EFW) using magnetic resonance imaging (MRI) as compared with two‐dimensional (2D) ultrasound (US) for the prediction of large‐for‐dates neonates. Methods Data of two groups of women with singleton pregnancy between March 2011 and May 2016 were retrieved from our database and evaluated retrospectively: the first group included women who underwent US‐EFW and MRI‐EFW within 48 h before delivery and the second group included women who had these evaluations between 35 + 0 weeks and 37 + 6 weeks of gestation, more than 48 h before delivery. US‐EFW was based on Hadlock et al . and MRI‐EFW on the formula described by Baker et al . For MRI‐EFW, planimetric measurement of the fetal body volume (FBV) was performed using a semi‐automated method and the time required for measurement was noted. Outcome measure was the performance of MRI‐EFW vs US‐EFW in the prediction of large‐for‐dates neonates, both ≤ 48 h and > 48 h before delivery. Receiver–operating characteristics (ROC) curves for each method were compared using the DeLong method. Results Of the 270 women included in the first group, 48 (17.8%) newborns had birth weight ≥ 90 th centile and 30 (11.1%) ≥ 95 th centile. The second group included 83 women, and nine (10.8%) newborns had birth weight ≥ 95 th centile. Median time needed for FBV planimetric measurements in all 353 fetuses was 3.5 (range, 1.5–5.5) min. The area under the ROC curve (AUC) for prediction of large‐for‐dates neonates by prenatal MRI performed within 48 h before delivery was significantly higher than that by US (for birth weight ≥ 90 th centile, difference between AUCs = 0.085, standard error (SE) = 0.020, P < 0.001; for birth weight ≥ 95 th centile, difference between AUCs = 0.036, SE = 0.014, P = 0.01). Similarly, MRI‐EFW was better than US‐EFW in predicting birth weight ≥ 95 th centile when both examinations were performed > 48 h prior to delivery (difference between AUCs = 0.077, SE = 0.039, P = 0.045). Conclusion MRI planimetry using our purpose‐designed semi‐automated method is not time‐consuming. The predictive performance of MRI‐EFW performed immediately prior to or remote from delivery is significantly better than that of US‐EFW for the prediction of large‐for‐dates neonates. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
鲤鱼平蓝发布了新的文献求助10
1秒前
斯文败类应助kk采纳,获得50
1秒前
1秒前
东郭一斩完成签到,获得积分10
1秒前
2秒前
Joekaws完成签到,获得积分10
2秒前
2秒前
幽默又槐完成签到,获得积分10
2秒前
orixero应助曾经的代曼采纳,获得10
2秒前
科研修沟发布了新的文献求助10
2秒前
搞怪慕凝完成签到,获得积分20
2秒前
Jasper应助JJJLX采纳,获得10
2秒前
顾矜应助天真绿采纳,获得10
3秒前
郭郭完成签到,获得积分10
3秒前
汉堡包应助Ailash采纳,获得10
4秒前
4秒前
4秒前
5秒前
5秒前
5秒前
孟辰凡发布了新的文献求助10
5秒前
TT发布了新的文献求助10
5秒前
乐乐应助Liuying2809采纳,获得10
6秒前
上官若男应助OhoOu采纳,获得10
6秒前
科研通AI6应助哈哈哈采纳,获得30
6秒前
6秒前
科研通AI6应助xx采纳,获得30
7秒前
bkagyin应助尊敬跳跳糖采纳,获得10
7秒前
典雅采珊完成签到,获得积分20
7秒前
7秒前
7秒前
7秒前
zyx完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
英俊的铭应助临澈采纳,获得10
8秒前
8秒前
willlow完成签到,获得积分10
9秒前
小洪包发布了新的文献求助10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
二氧化碳加氢催化剂——结构设计与反应机制研究 660
碳中和关键技术丛书--二氧化碳加氢 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5662021
求助须知:如何正确求助?哪些是违规求助? 4840532
关于积分的说明 15098074
捐赠科研通 4820518
什么是DOI,文献DOI怎么找? 2580000
邀请新用户注册赠送积分活动 1534212
关于科研通互助平台的介绍 1492878