Computer-assisted analysis of pleural and subpleural lung ultrasound correlates with oxygenation in preterm infants
Selina K. X Zhang, Gillian W. C Foo, Sheryle R Rogerson, Niranjan Abraham, Penny Kee, Amir Zayegh, David G Tingay, Peter G Davis, Brett J Manley, Arun Sett

TL;DR
This study shows that quantitative lung ultrasound can predict oxygenation levels in preterm infants, with some measurements being consistent across different ultrasound machines.
Contribution
The study introduces Q-LUScorrelation as a machine-independent measure of oxygenation in preterm infants.
Findings
Mean-grey-value showed fair correlation with oxygenation metrics in preterm infants.
Q-LUScorrelation was moderately correlated with oxygenation and consistent across ultrasound systems.
Textural features outperformed MGV as a reliable oxygenation indicator.
Abstract
Lung ultrasound (LUS) is increasingly used in neonatal intensive care, however visual scoring of LUS images remains subjective. Quantitative LUS (Q-LUS) is objective and whilst it detects small lung aeration changes in preterm animals, human data are limited. We hypothesised that Q-LUS would correlate strongly with oxygenation in very preterm infants born before 32 weeks’ gestation. We examined two quantitative image properties to assess whether Q-LUS correlates with oxygen status in very preterm infants: (1) mean-grey-value (MGV) and (2) second-order textural features (angular second moment, contrast, grey-level correlation (Q-LUScorrelation), inverse difference moment, entropy). 560 LUS images were acquired from 70 very preterm infants using Venue 50 and Venue Go systems and analysed in Fiji ImageJ. Oxygenation was assessed using oxygen saturation index (OSI) and peripheral oxygen…
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Taxonomy
TopicsUltrasound in Clinical Applications · Neonatal Respiratory Health Research · Neonatal and fetal brain pathology
