Prediction of large‐for‐gestational age at 36 weeks’ gestation: two‐dimensional vsthree‐Dimensionalvs magnetic resonance imaging

Author:

Mazzone E.1ORCID,Kadji C.1,Cannie M. M.23,Badr D. A.1ORCID,Jani J. C.1ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, University Hospital Brugmann Université Libre de Bruxelles Brussels Belgium

2. Department of Radiology, University Hospital Brugmann Université Libre de Bruxelles Brussels Belgium

3. Department of Radiology UZ Brussel, Vrije Universiteit Brussel Brussels Belgium

Abstract

AbstractObjectiveTo compare the performance of two‐dimensional ultrasound (2D‐US) three‐dimensional ultrasound (3D‐US) and magnetic resonance imaging (MRI) at 36 weeks of gestation (WG) in the prediction of Large‐for‐Gestational‐Age (LGA) fetuses defined as birthweight > 95th percentile in a high‐ and low‐risk groups for macrosomia.MethodsThis was a prospective observational study conducted between January 2017 and February 2019. Women with singleton pregnancy at 36 WG underwent simultaneously 2D‐US, 3D‐US, and MRI. By plotting the weight estimations and the birthweight on the growth curve, a percentile was obtained, and it was used for comparison. The study population was divided into high‐ and low‐risk groups, according to at least one of the following risk factors: the presence of diabetes, suspicion of macrosomia during the third trimester (> 90th percentile at the ultrasound routine scan), obesity (body mass index, BMI, > 30 kg/m2), and excessive weight gain. The outcome was the measurement of the performance of each diagnostic modality in the prediction of birthweight > 95th percentile. Statistical analysis was performed by calculating the area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, specificity, positive and negative predictive values for each modality.ResultsOut of 988 patients, 965 were eligible: 533 (55.23%) in the high‐risk group and 432 (44.77%) in the low‐risk group. In the low‐risk group, the AUCs were 0.982 for MRI, 0.964 for 2D‐US, and 0.962 for 3D‐US. No statistical significance was found among these three methods. In the high‐risk group, the AUCs were 0.959 for MRI, 0.909 for 2D‐US, and 0.894 for 3D‐US. A statistically significant difference between MRI and both 2D‐US (p = 0.002) and 3D‐US (p = 0.002) was found. MRI had the highest sensitivity (65.79%) compared with both 2D‐US (36.84%) and 3D‐US (21.05%) ultrasound (p = 0.002 and p < 0.001, respectively). The 3D‐US had the highest specificity (98.99%) compared to both methods (2D‐US: 96.77%, p = 0.005, and MRI: 96.97%, p = 0.004).ConclusionAt 36 WG, MRI performs better than 2D‐US and 3D‐US in predicting birthweight > 95th percentile at birth, especially in patients at high‐risk for macrosomia, while 2D‐US and 3D‐US are comparable. For low‐risk patients, the three modalities perform similarly.This article is protected by copyright. All rights reserved.

Publisher

Wiley

Subject

Obstetrics and Gynecology,Radiology, Nuclear Medicine and imaging,Reproductive Medicine,General Medicine,Radiological and Ultrasound Technology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3