| Performance of an automatic quantitative ultrasound analysis of the fetal lung to predict fetal lung maturity. | |
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MedLine Citation:
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PMID: 23174391 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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. |
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Authors:
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Montse Palacio; Teresa Cobo; Mònica Martínez-Terrón; Giuseppe A Rattá; Elisenda Bonet-Carné; Ivan Amat-Roldán; Eduard Gratacós |
Publication Detail:
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Type: Journal Article Date: 2012-10-01 |
Journal Detail:
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Title: American journal of obstetrics and gynecology Volume: 207 ISSN: 1097-6868 ISO Abbreviation: Am. J. Obstet. Gynecol. Publication Date: 2012 Dec |
Date Detail:
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Created Date: 2012-11-23 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0370476 Medline TA: Am J Obstet Gynecol Country: United States |
Other Details:
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Languages: eng Pagination: 504.e1-5 Citation Subset: AIM; IM |
Copyright Information:
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Copyright © 2012 Mosby, Inc. All rights reserved. |
Affiliation:
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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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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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