Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study
- Palacio, M.
- Bonet-Carne, E.
- Cobo, T.
- Perez-Moreno, A.
- Sabrià, J.
- Richter, J.
- Kacerovsky, M.
- Jacobsson, B.
- García-Posada, R. A.
- Bugatto, F.
- Santisteve, R.
- Vives, À.
- Parra-Cordero, M.
- Hernandez-Andrade, E.
- Bartha, J. L.
- Carretero-Lucena, P.
- Tan, K. L.
- Cruz-Martínez, R.
- Burke, M.
- Vavilala, S.
- Iruretagoyena, J. I.
- Delgado, J. L.
- Schenone, M.
- Vilanova, J.
- Botet, F.
- Yeo, G. S.
- Hyett, Jon A. (R20572)
- Deprest, J.
- Romero, R.
- Gratacos, E.
DOIAbstract
Background Prediction of neonatal respiratory morbidity may be useful to plan delivery in complicated pregnancies. The limited predictive performance of the current diagnostic tests together with the risks of an invasive procedure restricts the use of fetal lung maturity assessment. Objective The objective of the study was to evaluate the performance of quantitative ultrasound texture analysis of the fetal lung (quantusFLM) to predict neonatal respiratory morbidity in preterm and early-term (<39.0 weeks) deliveries. Study Design This was a prospective multicenter study conducted in 20 centers worldwide. Fetal lung ultrasound images were obtained at 25.0–38.6 weeks of gestation within 48 hours of delivery, stored in Digital Imaging and Commu...
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