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The Brain Structure Volume Estimation Based on Synthetic MRI in Pediatric Acute Lymphoblastic Leukemia / 中山大学学报(医学科学版)
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 271-276, 2023.
Artículo en Chino | WPRIM | ID: wpr-965842
ABSTRACT
ObjectiveCentral nervous system (CNS) infiltration commonly occurs in children with acute lymphoblastic leukemia (ALL). Early subclinical CNS infiltration in pediatric ALL is hard to detect with conventional methods. This study aimed to investigate the changes of brain structure volume parameters based on Synthetic MRI (SyMRI) in pediatric ALL without clinically diagnosed CNS infiltration. MethodsThirty-six ALL and twenty-nine typically developing (TD) children were prospectively collected and all underwent SyMRI. The Synthetic MR software was used to obtain brain volumetric parameters including total white matter volume (WMV), gray matter volume (GMV), cerebrospinal fluid (CSF) volume, etc. and their within-group differences were assessed by analysis of covariance. The Spearman correlation analysis was used to examine the correlation between biological characteristics and statistically significant brain volume parameters. ResultsALL children showed increased CSF volume (PFDR-corrected = 0.009) and decreased GMV (PFDR-corrected = 0.027) when compared to TD children. We also found a moderately negative association between GMV/intracranial volume and risk classification in pediatric ALL (rs = -0.380, P = 0.022). ConclusionsPediatric ALL without clinically diagnosed CNS infiltration presented with accumulation of CSF and reduction of gray matter. The brain volumetric changes in subclinical CNS infiltration of pediatric ALL provides a new attempt for exploring the underlying mechanism and early detection of CNS infiltration in pediatric ALL.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Journal of Sun Yat-sen University(Medical Sciences) Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Journal of Sun Yat-sen University(Medical Sciences) Año: 2023 Tipo del documento: Artículo