Cited by 43Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification TechniquesNeonatal Respiratory Health Research

Feasibility and Reproducibility of Fetal Lung Texture Analysis by Automatic Quantitative Ultrasound Analysis and Correlation with Gestational Age

Cobo, Teresa, Bonet-Carne, Elisenda, Martínez-Terrón, Mónica, Perez-Moreno, Alvaro, Elías, Núria, Luque, Jordi, Amat-Roldan, Ivan, Palacio, Montse·2012·Fetal Diagnosis and Therapy

Abstract

Objective: To evaluate the feasibility and reproducibility of fetal lung texture analysis using a novel automatic quantitative ultrasound analysis and to assess its correlation with gestational age. Methods: Prospective cross-sectional observational study. To evaluate texture features, 957 left and right lung images in a 2D four-cardiac-chamber view plane were previously delineated from fetuses between 20 and 41 weeks of gestation. Quantification of lung texture was performed by the Automatic Quantitative Ultrasound Analysis (AQUA) software to extract image features. A standard learning approach composed of feature transformation and a regression model was used to evaluate the association between texture features and gestational age. Results: The association between weeks of gestation and fetal lung texture quantified by the AQUA software presented a Pearson correlation of 0.97. The association was not influenced by delineation parameters such as region of interest (ROI) localization, ROI size, right/left lung selected or sonographic parameters such as ultrasound equipment or transducer used. Conclusions: Fetal lung texture analysis measured by the AQUA software demonstrated a strong correlation with gestational age. This supports further research to explore the use of this technology to the noninvasive prediction of fetal lung maturity.

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Crossref · 10.1159/000335349

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Authors
Cobo, T., Bonet-Carne, E., Martínez-Terrón, M., Perez-Moreno, A., Elías, N., Luque, J., Amat-Roldan, I., & Palacio, M.
Affiliations
Hospital Clínic de Barcelona (ES)
Venue
Fetal Diagnosis and Therapy
Publisher
S. Karger AG
Published
2012
Volume
31
Issue
4
Pages
230-236
ISSN
  • 1015-3837 (ISSN-L)
  • 1421-9964
OpenAlex
W1996983596
Cited by
43
References
26
Citations by year
2026: 4 · 2025: 1 · 2024: 1 · 2023: 6 · 2022: 5 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 1 · 2017: 3 · 2016: 4 · 2014: 4 · 2013: 3 · 2012: 1
FWCI
1.93
Type
journal article
Language
en
Open access
closed
Locations
  • Fetal Diagnosis and Therapy (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Neonatal Respiratory Health Research
Keywords
quantitative ultrasound, gestational age, fetal lung maturity, texture features, reproducibility, non-invasive prediction, fetal lung ultrasound
MeSH terms
Adult, Cross-Sectional Studies, Feasibility Studies, Female, Gestational Age, Humans, Lung, Pregnancy, Prospective Studies, Software, Reproducibility of Results, Ultrasonography, Prenatal

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