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Quantitative Ultrasound Texture Analysis for Differentiating Preterm From Term Fetal Lungs
Sleiman R Ghorayeb1,2,3, Luis A Bracero4, Matthew J Blitz5
1School of Engineering and Applied Sciences, Ultrasound Research Laboratory, Hofstra University, Hempstead, New York, USA.
Summary
Quantitative ultrasound texture analysis accurately differentiates preterm from term fetal lungs. Decreased lung tissue heterogeneity on ultrasound is linked to preterm fetuses, aiding in lung development assessment.
Area of Science:
- Medical imaging
- Fetal development
- Quantitative ultrasound analysis
Background:
- Accurate assessment of fetal lung maturity is crucial for managing preterm birth.
- Traditional ultrasound methods have limitations in evaluating fetal lung development.
Purpose of the Study:
- To differentiate preterm (<37 weeks' gestation) from term (≥37 weeks' gestation) fetal lungs using quantitative texture analysis of ultrasound images.
- To establish the correlation between fetal lung tissue heterogeneity and gestational age.
Main Methods:
- Retrospective analysis of 425 fetal lung ultrasound images.
- Quantitative texture analysis using a custom software program to calculate the heterogeneity index.
- Regression analysis and receiver operating characteristic curve analysis to determine diagnostic performance.
Main Results:
- Quantitative texture analysis demonstrated high accuracy in differentiating preterm and term fetal lungs.
- Sensitivity and specificity for predicting gestational age were 87.9% and 92.0%, respectively.
- A significant association was found between decreased fetal lung heterogeneity and preterm fetuses.
Conclusions:
- Quantitative ultrasound texture analysis is a viable method for differentiating preterm from term fetal lungs.
- Decreased heterogeneity in fetal lung ultrasound images may indicate prematurity.
- This technique holds potential for improved prenatal assessment of lung development.

