Prediction of neonatal respiratory distress syndrome by Quantitative ultrasound texture analysis of fetal lung Observational cross section study

Abstract

Aim and objectives; to predict respiratory distress syndrome using a noninvasive method called quantitative ultrasonography study of fetal lung texture. Subjects and methods; a cohort of 304 cases and was conducted in the feto maternity unit of Minia Maternity and Children University Hospital over 3 years. fetal lung images were used to develop a computerized method based on texture analysis and machine learning algorithms, trained to predict neonatal respiratory morbidity risk on fetal lung ultrasound images. Result; RI in Control group ranged from 0.58 to 1.04 with mean ± SD = 0.82 ± 0.1 while in RD group the RI ranged from 0.53 to 1.06 with mean ± SD = 0.77 ± 0.13 with statistical significant difference (p= 0.002 ) between the two groups. Regarding texture lung analysis using computerized programs there was no significant difference between the two groups . Conclusion: The research showed a significant and meaningful difference between the groups regarding Doppler indices There was no significant difference regarding texture lung analysis .