RT journal article
T1 Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study
A1 Palacio, Montse
A1 Bonet Carne, Elisenda
A1 Cobo, Teresa
A1 Pérez Moreno, Álvaro
A1 Sabrià, Joan
A1 Richter, Jute
A1 Kacerovsky, Marian
A1 Jacobsson, Bo
A1 García Posada, Raúl A.
A1 Bugatto González, Fernando
A1 Quintero Prado, Rocío
A1 Benavente Fernández, Isabel
A2 Materno-Infantil y Radiología
K1 amniocentesis
K1 amniotic fluid analysis
K1 biomarker
K1 computational methods
K1 diagnostic indices
K1 fetal lung maturity
K1 neonatal respiratory morbidity
K1 predictive values
K1 quantitative texture analysis
K1 respiratory distress syndrome
K1 sonography
K1 transient tachypnea
K1 ultrasound
AB 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 Communication in Medicine format, and analyzed with quantusFLM. Physicians were blinded to the analysis. At delivery, perinatal outcomes and the occurrence of neonatal respiratory morbidity, defined as either respiratory distress syndrome or transient tachypnea of the newborn, were registered. The performance of the ultrasound texture analysis test to predict neonatal respiratory morbidity was evaluated. Results A total of 883 images were collected, but 17.3% were discarded because of poor image quality or exclusion criteria, leaving 730 observations for the final analysis. The prevalence of neonatal respiratory morbidity was 13.8% (101 of 730). The quantusFLM predicted neonatal respiratory morbidity with a sensitivity, specificity, positive and negative predictive values of 74.3% (75 of 101), 88.6% (557 of 629), 51.0% (75 of 147), and 95.5% (557 of 583), respectively. Accuracy was 86.5% (632 of 730) and positive and negative likelihood ratios were 6.5 and 0.3, respectively. Conclusion The quantusFLM predicted neonatal respiratory morbidity with an accuracy similar to that previously reported for other tests with the advantage of being a noninvasive technique.
PB Mosby Inc.
SN 1097-6868
YR 2017
FD 2017
LK http://hdl.handle.net/10498/36716
UL http://hdl.handle.net/10498/36716
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 06-nov-2026