Literature DB >> 23174391

Performance of an automatic quantitative ultrasound analysis of the fetal lung to predict fetal lung maturity.

Montse Palacio1, Teresa Cobo, Mònica Martínez-Terrón, Giuseppe A Rattá, Elisenda Bonet-Carné, Ivan Amat-Roldán, Eduard Gratacós.   

Abstract

OBJECTIVE: The objective of the study was to evaluate the performance of automatic quantitative ultrasound analysis (AQUA) texture extractor to predict fetal lung maturity tests in amniotic fluid. STUDY
DESIGN: Singleton pregnancies (24.0-41.0 weeks) undergoing amniocentesis to assess fetal lung maturity (TDx fetal lung maturity assay [FLM]) were included. A manual-delineated box was placed in the lung area of a 4-chamber view of the fetal thorax. AQUA transformed the information into a set of descriptors. Genetic algorithms extracted the most relevant descriptors and then created and validated a model that could distinguish between mature or immature fetal lungs using TDx-FLM as a reference.
RESULTS: Gestational age at enrollment was (mean [SD]) 32.2 (4.5) weeks. According to the TDx-FLM results, 41 samples were mature and 62 were not. The imaging biomarker based on AQUA presented a sensitivity 95.1%, specificity 85.7%, and an accuracy 90.3% to predict a mature or immature lung.
CONCLUSION: Fetal lung ultrasound textures extracted by AQUA provided robust features to predict TDx-FLM results.
Copyright © 2012 Mosby, Inc. All rights reserved.

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Year:  2012        PMID: 23174391     DOI: 10.1016/j.ajog.2012.09.027

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  5 in total

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

Authors:  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
Journal:  Am J Obstet Gynecol       Date:  2017-03-23       Impact factor: 8.661

2.  Concordance of the risk of neonatal respiratory morbidity assessed by quantitative ultrasound lung texture analysis in fetuses of twin pregnancies.

Authors:  Ana L Moreno-Espinosa; Ameth Hawkins-Villarreal; Xavier P Burgos-Artizzu; David Coronado-Gutierrez; Santiago Castelazo; Diana L Lip-Sosa; Javiera Fuenzalida; Dahiana M Gallo; Tatiana Peña-Ramirez; Paula Zuazagoitia; Miriam Muñoz; Mauro Parra-Cordero; Eduard Gratacòs; Montse Palacio
Journal:  Sci Rep       Date:  2022-05-30       Impact factor: 4.996

3.  Evaluation of an improved tool for non-invasive prediction of neonatal respiratory morbidity based on fully automated fetal lung ultrasound analysis.

Authors:  Xavier P Burgos-Artizzu; Álvaro Perez-Moreno; David Coronado-Gutierrez; Eduard Gratacos; Montse Palacio
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

4.  Prediction of Neonatal Respiratory Morbidity Assessed by Quantitative Ultrasound Lung Texture Analysis in Twin Pregnancies.

Authors:  Ana L Moreno-Espinosa; Ameth Hawkins-Villarreal; David Coronado-Gutierrez; Xavier P Burgos-Artizzu; Raigam J Martínez-Portilla; Tatiana Peña-Ramirez; Dahiana M Gallo; Stefan R Hansson; Eduard Gratacòs; Montse Palacio
Journal:  J Clin Med       Date:  2022-08-20       Impact factor: 4.964

5.  Discriminative Learning for Automatic Staging of Placental Maturity via Multi-layer Fisher Vector.

Authors:  Baiying Lei; Yuan Yao; Siping Chen; Shengli Li; Wanjun Li; Dong Ni; Tianfu Wang
Journal:  Sci Rep       Date:  2015-07-31       Impact factor: 4.379

  5 in total

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