Prenatal Imaging Predicts Need for Early Intervention in Neonates With Congenital Lung Malformations

Jasmine Lee1, Sharon Joseph1, Kelsey Pape2

  • 1Department of Surgery, Section of Pediatric Surgery, Indiana University School of Medicine, Indianapolis, Indiana.

PubMed

Insights

Prenatal ultrasound and MRI can predict the need for early intervention in infants with congenital lung malformations (CLMs). Larger lesion size and growth on ultrasound are key indicators for predicting outcomes in neonates with CLMs.

Area of Science:

  • Neonatal care
  • Pediatric radiology
  • Congenital anomalies

Background:

  • Congenital lung malformations (CLMs) present a spectrum of neonatal outcomes, from asymptomatic presentation to critical respiratory distress.
  • Prenatal imaging advances improve CLM detection, yet predicting clinical severity remains challenging.

Purpose of the Study:

  • To compare prenatal ultrasound (US) and magnetic resonance imaging (MRI) markers for predicting early postnatal outcomes in infants with prenatally diagnosed CLMs.
  • To identify key imaging features that indicate the need for early intervention in neonates with CLMs.

Main Methods:

  • Retrospective review of term neonates with prenatally diagnosed CLMs who underwent fetal MRI (2002-2023).
  • Comparison of patients requiring early surgery or advanced respiratory support versus controls.
  • Univariable and multivariable analyses of prenatal US and MRI markers to predict early intervention.

Main Results:

  • Significant predictors for early intervention included second-trimester US lesion size, lesion growth on follow-up US, and second-trimester MRI lesion volume.
  • Both US and MRI showed moderate predictive capability (AUCs 0.77 and 0.72, respectively).
  • US lesion size was the most significant predictor of early intervention (OR 1.022, P=0.019).

Conclusions:

  • Prenatal US and MRI characteristics, especially size and growth, are associated with increased risk for early intervention in neonates with CLMs.
  • Ultrasound lesion size is a particularly strong predictor of the need for early intervention in CLMs.
Abstract