ArticlePediatric research2015
Scoring system for periventricular leukomalacia in infants with congenital heart disease.
Article in Pediatric research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Brain injury in congenital heart disease: pathophysiology, MRI patterns, and perioperative risk factors.Pediatric research · 2026Review
- Early motor outcomes in infants with complex congenital heart disease: the predictive role of NSE and S100B.Pediatric research · 2026Article
- Cerebral Microhemorrhages in Children With Congenital Heart Disease: Prevalence, Risk Factors, and Association With Neurodevelopmental Outcomes.Journal of the American Heart Association · 2025Article
- Validation of a Paralimbic-Related Subcortical Brain Dysmaturation MRI Score in Infants with Congenital Heart Disease.Journal of clinical medicine · 2024Article
- Predictors of the inability to achieve full oral feeding in postoperative infants with CHD.Cardiology in the young · 2024Article
- Article
- Impaired Maternal-Fetal Environment and Risk for Preoperative Focal White Matter Injury in Neonates With Complex Congenital Heart Disease.Journal of the American Heart Association · 2023Article
- Impact of cardiac surgical timing on the neurodevelopmental outcomes of newborns with Complex congenital heart disease (CHD).Frontiers in pediatrics · 2023Article
- Harmonization of Multi-Center Diffusion Tensor Tractography in Neonates with Congenital Heart Disease: Optimizing Post-Processing and Application of ComBat.Neuroimage. Reports · 2022Article
- A Novel Embedded Feature Selection and Dimensionality Reduction Method for an SVM Type Classifier to Predict Periventricular Leukomalacia (PVL) in Neonates.Applied sciences (Basel, Switzerland) · 2021Article
- Neonatal Brain Injury and Timing of Neurodevelopmental Assessment in Patients With Congenital Heart Disease.Journal of the American College of Cardiology · 2018Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundCurrently two magnetic resonance imaging (MRI) methods have been used to assess periventricular leukomalacia (PVL) severity in infants with congenital heart disease: manual volumetric lesion segmentation and an observational categorical scale. Volumetric classification is labor intensive and the categorical scale is quick but unreliable. We propose the quartered point system (QPS) as a novel, intuitive, time-efficient metric with high interrater agreement.
methodsQPS is an observational scale that asks the rater to score MRIs on the basis of lesion size, number, and distribution. Pre- and postoperative brain MRIs were obtained on term congenital heart disease infants. Three independent observers scored PVL severity using all three methods: volumetric segmentation, categorical scale, and QPS.
resultsOne-hundred and thirty-five MRIs were obtained from 72 infants; PVL was seen in 48 MRIs. Volumetric measurements among the three raters were highly concordant (ρc = 0.94-0.96). Categorical scale severity scores were in poor agreement between observers (κ = 0.17) and fair agreement with volumetrically determined severity (κ = 0.26). QPS scores were in very good agreement between observers (κ = 0.82) and with volumetric severity (κ = 0.81).
conclusionQPS minimizes training and sophisticated radiologic analysis and increases interrater reliability. QPS offers greater sensitivity to stratify PVL severity and has the potential to more accurately correlate with neurodevelopmental outcomes.
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