ArticleNeonatology2016
Early Conventional MRI for Prediction of Neurodevelopmental Impairment in Extremely-Low-Birth-Weight Infants.
Article in Neonatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants.Seminars in perinatology · 2016Pooled it
- Pilot study of association between neonatal brain perivascular space volume and neurodevelopmental outcomes at 24 months.BMC medical imaging · 2025Article
- Development and Validation of an MRI-Based Brain Volumetry Model Predicting Poor Psychomotor Outcomes in Preterm Neonates.Journal of clinical medicine · 2025Article
- Magnetic resonance spectroscopy brain metabolites at term and 3-year neurodevelopmental outcomes in very preterm infants.Pediatric research · 2022Article
- Automating Quantitative Measures of an Established Conventional MRI Scoring System for Preterm-Born Infants Scanned between 29 and 47 Weeks' Postmenstrual Age.AJNR. American journal of neuroradiology · 2021Article
- Microstructural Measures of the Inferior Longitudinal Fasciculus Predict Later Cognitive and Language Development in Infants Born With Extremely Low Birth Weight.Journal of child neurology · 2021Article
- Neuroimaging at Term Equivalent Age: Is There Value for the Preterm Infant? A Narrative Summary.Children (Basel, Switzerland) · 2021Review
- Cognitive Outcome Prediction in Infants With Neonatal Hypoxic-Ischemic Encephalopathy Based on Functional Connectivity and Complexity of the Electroencephalography Signal.Frontiers in human neuroscience · 2021Article
- Novel diffuse white matter abnormality biomarker at term-equivalent age enhances prediction of long-term motor development in very preterm children.Scientific reports · 2020Article
- Ten-year trends in infant neuroimaging from US Neonatal Intensive Care Units.Journal of perinatology : official journal of the California Perinatal Association · 2020Article
- Early cortical maturation predicts neurodevelopment in very preterm infants.Archives of disease in childhood. Fetal and neonatal edition · 2020Article
- Neural Networks to Predict Radiographic Brain Injury in Pediatric Patients Treated with Extracorporeal Membrane Oxygenation.Journal of clinical medicine · 2020Article
- Antecedents of Objectively Diagnosed Diffuse White Matter Abnormality in Very Preterm Infants.Pediatric neurology · 2020Article
- Objectively Diagnosed Diffuse White Matter Abnormality at Term Is an Independent Predictor of Cognitive and Language Outcomes in Infants Born Very Preterm.The Journal of pediatrics · 2020Article
- Automated brain morphometric biomarkers from MRI at term predict motor development in very preterm infants.NeuroImage. Clinical · 2020Article
- A Model of Germinal Matrix Hemorrhage in Preterm Rat Pups.Frontiers in cellular neuroscience · 2020Article
- Retinopathy of Prematurity and Bronchopulmonary Dysplasia are Independent Antecedents of Cortical Maturational Abnormalities in Very Preterm Infants.Scientific reports · 2019Article
- A solution based on melatonin, tryptophan, and vitamin B6 (Melamil Tripto©) for sedation in newborns during brain MRI.Italian journal of pediatrics · 2019Article
- Early Detection of Cerebral Palsy Using Sensorimotor Tract Biomarkers in Very Preterm Infants.Pediatric neurology · 2019Article
- Postnatal Microstructural Developmental Trajectory of Corpus Callosum Subregions and Relationship to Clinical Factors in Very Preterm Infants.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundExtremely-low-birth-weight (ELBW; ≤1,000 g) infants are at high risk for neurodevelopmental impairments. Conventional brain MRI at term-equivalent age is increasingly used for prediction of outcomes. However, optimal prediction models remain to be determined, especially for cognitive outcomes.
objectiveThe aim was to evaluate the accuracy of a data-driven MRI scoring system to predict neurodevelopmental impairments.
methods122 ELBW infants had a brain MRI performed at term-equivalent age. Conventional MRI findings were scored with a standardized algorithm and tested using a multivariable regression model to predict neurodevelopmental impairment, defined as one or more of the following at 18-24 months' corrected age: cerebral palsy, bilateral blindness, bilateral deafness requiring amplification, and/or cognitive/language delay. Results were compared with a commonly cited scoring system.
resultsIn multivariable analyses, only moderate-to-severe gyral maturational delay was a significant predictor of overall neurodevelopmental impairment (OR: 12.6, 95% CI: 2.6, 62.0; p < 0.001). Moderate-to-severe gyral maturational delay also predicted cognitive delay, cognitive delay/death, and neurodevelopmental impairment/death. Diffuse cystic abnormality was a significant predictor of cerebral palsy (OR: 33.6, 95% CI: 4.9, 229.7; p < 0.001). These predictors exhibited high specificity (range: 94-99%) but low sensitivity (30-67%) for the above outcomes. White or gray matter scores, determined using a commonly cited scoring system, did not show significant association with neurodevelopmental impairment.
conclusionsIn our cohort, conventional MRI at term-equivalent age exhibited high specificity in predicting neurodevelopmental outcomes. However, sensitivity was suboptimal, suggesting additional clinical factors and biomarkers are needed to enable accurate prognostication.
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Registered trials
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