Document Detail

Performance of an automatic quantitative ultrasound analysis of the fetal lung to predict fetal lung maturity.
MedLine Citation:
PMID:  23174391     Owner:  NLM     Status:  In-Data-Review    
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.
Montse Palacio; Teresa Cobo; Mònica Martínez-Terrón; Giuseppe A Rattá; Elisenda Bonet-Carné; Ivan Amat-Roldán; Eduard Gratacós
Publication Detail:
Type:  Journal Article     Date:  2012-10-01
Journal Detail:
Title:  American journal of obstetrics and gynecology     Volume:  207     ISSN:  1097-6868     ISO Abbreviation:  Am. J. Obstet. Gynecol.     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-11-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370476     Medline TA:  Am J Obstet Gynecol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  504.e1-5     Citation Subset:  AIM; IM    
Copyright Information:
Copyright © 2012 Mosby, Inc. All rights reserved.
Department of Maternal-Fetal Medicine, Institut Clínic de Ginecologia, Obstetrícia i Neonatologia, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain; Fetal and Perinatal Medicine Research Group, Institut d'Investigacions Biomediques August Pi i Sunyer, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras, Barcelona, Spain.
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