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Fetal magnetic resonance imaging at 36 weeks predicts neonatal macrosomia: the PREMACRO study - 26/01/22

Doi : 10.1016/j.ajog.2021.08.001 
Caroline Kadji, MD, PhD a, Mieke M. Cannie, MD, PhD b, c, Xin Kang, MD, PhD a, Andrew Carlin, MD a, Serge Benjou Etchoua, BMEDSci b, Serena Resta, MD a, Vivien Dütemeyer, MD a, Fouad Abi-Khalil, BSMI a, Eleonora Mazzone, MD a, Elisa Bevilacqua, MD, PhD a, Jacques C. Jani, MD, PhD a,
a Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium 
b Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium 
c Department of Radiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium 

Corresponding author: Jacques C. Jani, MD, PhD.

Abstract

Background

Large-for-gestational-age fetuses are at increased risk of perinatal morbidity and mortality. Magnetic resonance imaging seems to be more accurate than ultrasound in the prediction of macrosomia; however, there is no well-powered study comparing magnetic resonance imaging with ultrasound in routine pregnancies.

Objective

This study aimed to prospectively compare estimates of fetal weight based on 2-dimensional ultrasound and magnetic resonance imaging with actual birthweights in routine pregnancies.

Study Design

From May 2016 to February 2019, women received counseling at the 36-week clinic. Written informed consent was obtained for this Ethics Committee-approved study. In this prospective, single-center, blinded study, pregnant women with singleton pregnancies between 36 0/7 and 36 6/7 weeks’ gestation underwent both standard evaluation of estimated fetal weight with ultrasound according to Hadlock et al and magnetic resonance imaging according to the formula developed by Baker et al, based on the measurement of the fetal body volume. Participants and clinicians were aware of the results of the ultrasound but blinded to the magnetic resonance imaging estimates. Birthweight percentile was considered as the gold standard for the ultrasound and magnetic resonance imaging–derived percentiles. The primary outcome was the area under the receiver operating characteristic curve for the prediction of large-for-gestation-age neonates with birthweights of ≥95th percentile. Secondary outcomes included the comparative prediction of large-for-gestation-age neonates with birthweights of ≥90th, 97th, and 99th percentiles and small-for-gestational-age neonates with birthweights of ≤10th, 5th, and 3rd percentiles for gestational age and maternal and perinatal complications.

Results

Of 2914 women who were initially approached, results from 2378 were available for analysis. Total fetal body volume measurements were possible for all fetuses, and the time required to perform the planimetric measurements by magnetic resonance imaging was 3.0 minutes (range, 1.3–5.6). The area under the receiver operating characteristic curve for the prediction of a birthweight of ≥95th percentile was 0.985 using prenatal magnetic resonance imaging and 0.900 using ultrasound (difference=0.085, P<.001; standard error, 0.020). For a fixed false-positive rate of 5%, magnetic resonance imaging for the estimation of fetal weight detected 80.0% (71.1–87.2) of birthweight of ≥95th percentile, whereas ultrasound for the estimation of fetal weight detected 59.1% (49.0–68.5) of birthweight of ≥95th percentile. The positive predictive value was 42.6% (37.8–47.7) for the estimation of fetal weight using magnetic resonance imaging and 35.4% (30.1–41.1) for the estimation of fetal weight using ultrasound, and the negative predictive value was 99.0% (98.6–99.3) for the estimation of fetal weight using magnetic resonance imaging and 98.0% (97.6–98.4) for the estimation of fetal weight using ultrasound. For a fixed false-positive rate of 10%, magnetic resonance imaging for the estimation of fetal weight detected 92.4% (85.5–96.7) of birthweight of ≥95th percentile, whereas ultrasound for the estimation of fetal weight detected 76.2% (66.9–84.0) of birthweight of ≥95th percentile. The positive predictive value was 29.9% (27.2–32.8) for the estimation of fetal weight using magnetic resonance imaging and 26.2% (23.2–29.4) for the estimation of fetal weight using ultrasound, and the negative predictive value was 99.6 (99.2–99.8) for the estimation of fetal weight using magnetic resonance imaging and 98.8 (98.4–99.2) for the estimation of fetal weight using ultrasound. The area under the receiver operating characteristic curves for the prediction of large-for-gestational-age neonates with birthweights of ≥90th, 97th, and 99th percentiles and small-for-gestational-age neonates with birthweights of ≤10th, 5th, and 3rd percentiles was significantly larger in prenatal magnetic resonance imaging than in ultrasound (P<.05 for all).

Conclusion

At 36 weeks’ gestation, magnetic resonance imaging for the estimation of fetal weight performed significantly better than ultrasound for the estimation of fetal weight in the prediction of large-for-gestational-age neonates with birthweights of ≥95th percentile for gestational age and all other recognized cutoffs for large-for-gestational-age and small-for-gestational-age neonates (P<.05 for all).

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Key words : estimation of fetal weight, fetal biometry, fetal MRI, gestational diabetes mellitus, large-for-gestational-age, PREMACRO study, prediction of macrosomia, prenatal diagnosis, prenatal ultrasound, shoulder dystocia


Plan


 The authors report no conflict of interest.
 The funding of this study was provided by the Fetal Medicine Foundation Belgium (charity number BE0846.300.650) and the Brugmann Foundation, and the organizations had no role in the study design; data collection, analysis, and interpretation of the data; or writing of the article. J.C.J. had full access to all the data in the study, and C.K. and J.C.J. had final responsibility for the decision to submit the manuscript for publication.
 Cite this article as: Kadji C, Cannie MM, Kang X, et al. Fetal magnetic resonance imaging at 36 weeks predicts neonatal macrosomia: the PREMACRO study. Am J Obstet Gynecol 2022;226:238.e1-12.


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Vol 226 - N° 2

P. 238.e1-238.e12 - février 2022 Retour au numéro
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