ArticleJournal of multidisciplinary healthcare2025
Assessment of Neurodevelopmental Outcomes in Children With Congenital Heart Disease Using Magnetic Resonance Imaging (MRI): Focus on Brain Volume as a Predictor of Neurodevelopmental Abnormalities.
Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Near-infrared spectroscopy cerebral oximetry in pediatric congenital heart disease with cardiopulmonary bypass: a narrative review of current evidence and neuroprotection.Frontiers in pediatrics · 2026Review
- Neurodevelopmental disorders in children: the role of MRI in early detection and intervention planning.Frontiers in neuroscience · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aims to evaluate the neurodevelopmental outcomes in children with congenital heart disease (CHD) using magnetic resonance imaging (MRI), and to assess the role of brain volume metrics as predictors of neurodevelopmental abnormalities. Methods: In this retrospective cohort study, 160 children with CHD treated at Children's Hospital of Nanjing Medical University from January 2020 to December 2023 were analyzed. Patients were classified into normal (DQ ≥ 70, n=106) and abnormal neurodevelopment (DQ < 70, n=54) groups based on Developmental Quotient (DQ) scores. MRI scans were used to measure total brain volume, cortical gray matter, deep gray matter, white matter, and cerebrospinal fluid volumes. Neurodevelopmental assessments focused on adaptive behavior, motor skills, language, and personal-social behavior. ROC analysis was performed to determine the predictive value of brain volume metrics for neurodevelopmental abnormalities. Results: Total brain volume in the normal group (341.82 ± 10.43 mL) was significantly higher than in the abnormal group (323.92 ± 10.24 mL) (P < 0.05). Cortical gray matter volume in the normal group (131.47 ± 4.02 mL) was also significantly greater than in the abnormal group (121.63 ± 6.91 mL) (P < 0.05). No significant differences were observed in white matter, deep gray matter, or cerebrospinal fluid volumes. Children in the abnormal group scored significantly lower in all developmental domains (P < 0.05). ROC analysis showed that total brain volume (AUC = 0.968) and cortical gray matter volume (AUC = 0.936) were strong predictors of neurodevelopmental abnormalities (P < 0.001). Conclusion: Total brain volume and cortical gray matter volume, as measured by MRI, are effective predictors of neurodevelopmental abnormalities in children with CHD and can serve as valuable tools for early neurodevelopmental assessment.
Indexed as
Identifiers
What OpenQuestion holds
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.