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

Palacio, Montse, Bonet-Carne, Elisenda, Cobo, Teresa et al. (2017). Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study . American Journal of Obstetrics and Gynecology, 217(2), 10.1016/j.ajog.2017.03.016

Open Access International Collaboration

cited authors

  • Palacio, Montse; Bonet-Carne, Elisenda; Cobo, Teresa; Perez-Moreno, Alvaro; Sabria, Joan; Richter, Jute; Kacerovsky, Marian; Jacobsson, Bo; Garcia-Posada, Raul A; Bugatto, Fernando; Santisteve, Ramon; Vives, Angels; Parra-Cordero, Mauro; Hernandez-Andrade, Edgar; Luis Bartha, Jose; Carretero-Lucena, Pilar; Tan, Kai Lit; Cruz-Martinez, Rogelio; Burke, Minke; Vavilala, Suseela; Iruretagoyena, Igor; Luis Delgado, Juan; Schenone, Mauro; Vilanova, Josep; Botet, Francesc; Yeo, George SH; Hyett, Jon; Deprest, Jan; Romero, Roberto; Gratacos, Eduard

sustainable development goals

authors

publication date

  • August 1, 2017

published in

keywords

  • ANTENATAL CORTICOSTEROIDS
  • BIRTH
  • DISTRESS-SYNDROME
  • EXPOSURE
  • FETAL LUNG
  • INDICATED LATE-PRETERM
  • LAMELLAR BODY COUNTS
  • Life Sciences & Biomedicine
  • MATURITY
  • MULTIPLE COURSES
  • Obstetrics & Gynecology
  • RISK
  • Science & Technology
  • amniocentesis
  • amniotic fluid analysis
  • biomarker
  • computational methods
  • diagnostic indices
  • fetal lung maturity
  • neonatal respiratory morbidity
  • predictive values
  • quantitative texture analysis
  • respiratory distress syndrome
  • sonography
  • transient tachypnea
  • ultrasound

Digital Object Identifier (DOI)

volume

  • 217

issue

  • 2