A simulation study to assess the potential benefits of MRI-based fetal weight estimation as a second-line test for suspected macrosomia.

Induction Macrosomia Magnetic resonance imaging Shoulder dystocia Simulation Ultrasound

Journal

European journal of obstetrics, gynecology, and reproductive biology
ISSN: 1872-7654
Titre abrégé: Eur J Obstet Gynecol Reprod Biol
Pays: Ireland
ID NLM: 0375672

Informations de publication

Date de publication:
09 Apr 2024
Historique:
received: 07 01 2024
revised: 02 04 2024
accepted: 08 04 2024
medline: 15 4 2024
pubmed: 15 4 2024
entrez: 14 4 2024
Statut: aheadofprint

Résumé

To simulate the outcomes of Boulvain's trial by using magnetic resonance imaging (MRI) for estimated fetal weight (EFW) as a second-line confirmatory imaging. Data derived from the Boulvain's trial and the study PREMACRO (PREdict MACROsomia) were used to simulate a 1000-patient trial. Boulvain's trial compared induction of labor (IOL) to expectant management in suspected macrosomia, whereas PREMACRO study compared the performance of ultrasound-EFW (US-EFW) and MRI-EFW in the prediction of birthweight. The primary outcome was the incidence of significant shoulder dystocia (SD). Cesarean delivery (CD), hyperbilirubinemia (HB), and IOL at < 39 weeks of gestation (WG) were selected as secondary outcomes. A subgroup analysis of the Boulvain's trial was performed to estimate the incidence of the primary and secondary outcomes in the true positive and false positive groups for the two study arms. Sensitivity, specificity, positive and negative predictive values (PPV, NPV) for the prediction of macrosomia by MRI-EFW at 36 WG were calculated, and a decision tree was constructed for each outcome. The PPV of US-EFW for the prediction of macrosomia in the PREMACRO trial was 56.3 %. MRI-EFW was superior to US-EFW as a predictive tool resulting in lower rates of induction for false-positive cases. Repeating Boulvain's trial using MRI-EFW as a second-line test would result in similar rates of SD (relative risk [RR]:0.36), CD (RR:0.84), and neonatal HB (RR:2.6), as in the original trial. Increasing the sensitivity and specificity of MRI-EFW resulted in a similar relative risk for SD as in Boulvain's trial, but with reduced rates of IOL < 39 WG, and improved the RR of CD in favor of IOL. We found an inverse relationship between IOL rate and incidence of SD for both US-EFW and MRI-EFW, although overall rates of IOL, CD, and neonatal HB would be lower with MRI-derived estimates of fetal weight. The superior accuracy of MRI-EFW over US-EFW for the diagnosis of macrosomia could result in lower rates of IOL without compromising the relative advantages of the intervention but fails to demonstrate a significant benefit to justify a replication of the original trial using MRI-EFW as a second-line test.

Identifiants

pubmed: 38615575
pii: S0301-2115(24)00176-3
doi: 10.1016/j.ejogrb.2024.04.009
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

126-131

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Dominique A Badr (DA)

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

Andrew Carlin (A)

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

Michel Boulvain (M)

Department of Obstetrics and Gynecology, UZ Brussels, Vrije Universiteit Brussel, Brussels Belgium.

Caroline Kadji (C)

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

Mieke M Cannie (MM)

Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium; Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium.

Jacques C Jani (JC)

Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Vrije Universiteit Brussel, Brussels, Belgium. Electronic address: jackjani@hotmail.com.

Leonardo Gucciardo (L)

Department of Obstetrics and Gynecology, UZ Brussels, Vrije Universiteit Brussel, Brussels Belgium.

Classifications MeSH