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.

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Journal of Multidisciplinary Healthcare Pub Date : 2025-02-27 eCollection Date: 2025-01-01 DOI:10.2147/JMDH.S508533
Ming-Cui Fu, Ye Lin, Feng Yang, Ying Wang, Xu-Ming Mo
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引用次数: 0

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.

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来源期刊
Journal of Multidisciplinary Healthcare
Journal of Multidisciplinary Healthcare Nursing-General Nursing
CiteScore
4.60
自引率
3.00%
发文量
287
审稿时长
16 weeks
期刊介绍: The Journal of Multidisciplinary Healthcare (JMDH) aims to represent and publish research in healthcare areas delivered by practitioners of different disciplines. This includes studies and reviews conducted by multidisciplinary teams as well as research which evaluates or reports the results or conduct of such teams or healthcare processes in general. The journal covers a very wide range of areas and we welcome submissions from practitioners at all levels and from all over the world. Good healthcare is not bounded by person, place or time and the journal aims to reflect this. The JMDH is published as an open-access journal to allow this wide range of practical, patient relevant research to be immediately available to practitioners who can access and use it immediately upon publication.
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