ArticlePloS one2013
Atlas-guided quantification of white matter signal abnormalities on term-equivalent age MRI in very preterm infants: findings predict language and cognitive development at two years of age.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants.Seminars in perinatology · 2016Pooled it
- Diffuse white matter abnormality is independently predictive of neurodevelopmental outcomes in preterm infants.Archives of disease in childhood. Fetal and neonatal edition · 2026Article
- Paternal transgenerational epigenetic effects: high fat diet induced obesity alters miRNA expression in F1 and F2 C57BL/6 male mice.Molecular genetics and genomics : MGG · 2025Article
- Impact of fetal inflammatory response on brain MRI abnormalities in extremely preterm infants.Pediatric research · 2025Article
- Article
- Prenatal tobacco smoke exposure and risk of brain abnormalities on magnetic resonance imaging at term in infants born very preterm.American journal of obstetrics & gynecology MFM · 2023Article
- Acute histologic chorioamnionitis independently and directly increases the risk for brain abnormalities seen on magnetic resonance imaging in very preterm infants.American journal of obstetrics and gynecology · 2022Article
- Perinatal Risk and Protective Factors in the Development of Diffuse White Matter Abnormality on Term-Equivalent Age Magnetic Resonance Imaging in Infants Born Very Preterm.The Journal of pediatrics · 2021Article
- Automatic Segmentation of Diffuse White Matter Abnormality on T2-weighted Brain MR Images Using Deep Learning in Very Preterm Infants.Radiology. Artificial intelligence · 2021Article
- Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants.Frontiers in 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
- 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
- Antecedents of Objectively Diagnosed Diffuse White Matter Abnormality in Very Preterm Infants.Pediatric neurology · 2020Article
- Baby brain atlases.NeuroImage · 2019Review
- Objective and Automated Detection of Diffuse White Matter Abnormality in Preterm Infants Using Deep Convolutional Neural Networks.Frontiers in neuroscience · 2019Article
- T2 Relaxometry MRI Predicts Cerebral Palsy in Preterm Infants.AJNR. American journal of neuroradiology · 2018Article
- Using clinically acquired MRI to construct age-specific ADC atlases: Quantifying spatiotemporal ADC changes from birth to 6-year old.Human brain mapping · 2017Article
- Early changes in brain structure correlate with language outcomes in children with neonatal encephalopathy.NeuroImage. Clinical · 2017Article
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2 authors.
Funding
Abstract
The developmental significance of the frequently encountered white matter signal abnormality (WMSA) findings on MRI around term-equivalent age (TEA) in very preterm infants, remains in question. The use of conventional qualitative analysis methods is subjective, lacks sufficient reliability for producing accurate and reproducible WMSA diagnosis, and possibly contributes to suboptimal neurodevelopmental outcome prediction. The advantages of quantitative over qualitative diagnostic approaches have been widely acknowledged and demonstrated. The purpose of this study is to objectively and accurately quantify WMSA on TEA T2-weighted MRI in very preterm infants and to assess whether such quantifications predict 2-year language and cognitive developmental outcomes. To this end, we constructed a probabilistic brain atlas, exclusively for very preterm infants to embed tissue distributions (i.e. to encode shapes, locations and geometrical proportion of anatomical structures). Guided with this atlas, we then developed a fully automated method for WMSA detection and quantification using T2-weighted images. Computer simulations and experiments using in vivo very preterm data showed very high detection accuracy. WMSA volume, particularly in the centrum semiovale, on TEA MRI was a significant predictor of standardized language and cognitive scores at 2 years of age. Independent validation of our automated WMSA detection algorithm and school age follow-up are important next steps.
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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.