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Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study.

Artikel i vetenskaplig tidskrift
Författare Montse Palacio
Elisenda Bonet-Carne
Teresa Cobo
Alvaro Perez-Moreno
Joan Sabrià
Jute Richter
Marian Kacerovsky
Bo Jacobsson
Raúl A García-Posada
Fernando Bugatto
Ramon Santisteve
Àngels Vives
Mauro Parra-Cordero
Edgar Hernandez-Andrade
José Luis Bartha
Pilar Carretero-Lucena
Kai Lit Tan
Rogelio Cruz-Martínez
Minke Burke
Suseela Vavilala
Igor Iruretagoyena
Juan Luis Delgado
Mauro Schenone
Josep Vilanova
Francesc Botet
George S H Yeo
Jon Hyett
Jan Deprest
Roberto Romero
Eduard Gratacos
Publicerad i American journal of obstetrics and gynecology
ISSN 1097-6868
Publiceringsår 2017
Publicerad vid Institutionen för kliniska vetenskaper, sektionen för kvinnors och barns hälsa, Avdelningen för obstetrik och gynekologi
Språk en
Länkar dx.doi.org/10.1016/j.ajog.2017.03.0...
www.ncbi.nlm.nih.gov/entrez/query.f...
Ämneskategorier Reproduktionsmedicin och gynekologi, Obstetrik och kvinnosjukdomar, Obstetrik och gynekologi

Sammanfattning

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 limits the use of fetal lung maturity assessment.The objective of the study was to evaluate the performance of quantitative ultrasound texture analysis (quantusFLM) to predict neonatal respiratory morbidity in preterm and early-term (<39.0 weeks) deliveries.This was a prospective multicenter study in 20 centers worldwide. Fetal lung ultrasound images were obtained at 25.0-38.6 weeks' 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.A total of 883 images were collected, but 17.2% 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, and positive and negative predictive value 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.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.

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