ArticleAmerican journal of obstetrics and gynecology2017
Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study.
Article in American journal of obstetrics and gynecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 55 citations in OpenAlex.
- Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy.BMC medical genomics · 2020Trial
- Role of fetal pulmonary artery Doppler parameters for predicting neonatal respiratory distress syndrome: A systematic review and meta-analysis of diagnostic accuracy.European journal of obstetrics & gynecology and reproductive biology: X · 2026Review
- Artificial Intelligence in Obstetrics: Current Trends and Future Directions.Journal of clinical medicine · 2026Review
- AI-Driven Fetal Liver Echotexture Analysis: A New Frontier in Predicting Neonatal Insulin Imbalance.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Article
- Multimodal deep learning fusion model for assessment of fetal lung development in gestational diabetes mellitus and pre-eclampsia.Frontiers in endocrinology · 2026Article
- Quantitative assessment of fetal lung development using MRI-based radiomics: a comparative analysis of 3D and 2D approaches with external validation.Frontiers in physiology · 2026Article
- Assessment of fetal lung maturity and prediction of neonatal respiratory distress syndrome by MV-Flow imaging.Ultrasonography (Seoul, Korea) · 2025Article
- Fetal lung growth predicts the risk for early-life respiratory infections and childhood asthma.World journal of pediatrics : WJP · 2024Article
- Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms.Scientific reports · 2024Article
- Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity.European radiology · 2023Article
- Application and Progress of Artificial Intelligence in Fetal Ultrasound.Journal of clinical medicine · 2023Review
- Reproducibility of 2D versus 3D radiomics for quantitative assessment of fetal lung development: a retrospective fetal MRI study.Insights into imaging · 2023Article
- Prediction of Neonatal Respiratory Morbidity Assessed by Quantitative Ultrasound Lung Texture Analysis in Twin Pregnancies.Journal of clinical medicine · 2022Article
- Ultrasound-based radiomics technology in fetal lung texture analysis prediction of neonatal respiratory morbidity.Scientific reports · 2022Article
- Concordance of the risk of neonatal respiratory morbidity assessed by quantitative ultrasound lung texture analysis in fetuses of twin pregnancies.Scientific reports · 2022Article
- Prenatal prediction of neonatal respiratory morbidity: a radiomics method based on imbalanced few-shot fetal lung ultrasound images.BMC medical imaging · 2022Article
- Application of ultrasonography in neonatal lung disease: An updated review.Frontiers in pediatrics · 2022Review
- A preliminary study to quantitatively evaluate the development of maturation degree for fetal lung based on transfer learning deep model from ultrasound images.International journal of computer assisted radiology and surgery · 2020Article
- Premature or Small for Gestational Age Discrimination: International Multicenter Trial Protocol for Classification of the Low-Birth-Weight Newborn Through the Optical Properties of the Skin.JMIR research protocols · 2020Article
- Timing of elective pre-labour caesarean section: A decision analysis.The Australian & New Zealand journal of obstetrics & gynaecology · 2019Article
Corrections and comments
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Authors and funding
31 authors at 18 institutions in 11 countries.
Funding
Abstract
backgroundPrediction of neonatal respiratory morbidity may be useful to plan delivery in complicated pregnancies. The limited predictive performance of the current diagnostic tests together with the risks of an invasive procedure restricts the use of fetal lung maturity assessment.
objectiveThe objective of the study was to evaluate the performance of quantitative ultrasound texture analysis of the fetal lung (quantusFLM) to predict neonatal respiratory morbidity in preterm and early-term (<39.0 weeks) deliveries. STUDY
designThis was a prospective multicenter study conducted in 20 centers worldwide. Fetal lung ultrasound images were obtained at 25.0-38.6 weeks of gestation within 48 hours of delivery, stored in Digital Imaging and Communication in Medicine format, and analyzed with quantusFLM. Physicians were blinded to the analysis. At delivery, perinatal outcomes and the occurrence of neonatal respiratory morbidity, defined as either respiratory distress syndrome or transient tachypnea of the newborn, were registered. The performance of the ultrasound texture analysis test to predict neonatal respiratory morbidity was evaluated.
resultsA total of 883 images were collected, but 17.3% were discarded because of poor image quality or exclusion criteria, leaving 730 observations for the final analysis. The prevalence of neonatal respiratory morbidity was 13.8% (101 of 730). The quantusFLM predicted neonatal respiratory morbidity with a sensitivity, specificity, positive and negative predictive values of 74.3% (75 of 101), 88.6% (557 of 629), 51.0% (75 of 147), and 95.5% (557 of 583), respectively. Accuracy was 86.5% (632 of 730) and positive and negative likelihood ratios were 6.5 and 0.3, respectively.
conclusionThe quantusFLM predicted neonatal respiratory morbidity with an accuracy similar to that previously reported for other tests with the advantage of being a noninvasive technique.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.