The Brain Structure Volume Estimation Based on Synthetic MRI in Pediatric Acute Lymphoblastic Leukemia
10.13471/j.cnki.j.sun.yat-sen.univ（med.sci）.2023.0211
- VernacularTitle:基于集成磁共振成像的急性淋巴细胞性白血病儿童脑体积测量
- Author:
Wei-feng HOU
1
;
Shu SU
1
;
Ying-qian CHEN
1
;
Long QIAN
2
;
Yan-lai TANG
3
;
Li-bin HUANG
3
;
Zhi-yun YANG
1
;
Li-ping LIN
1
Author Information
1. Department of Radiology， The First Affiliated Hospital of Sun Yat-sen University， Guangzhou 510080， China
2. Department of MR Research， GE Healthcare， Beijing 100020
3. Department of Pediatrics， The First Affiliated Hospital of Sun Yat-sen University， Guangzhou 510080， China
- Publication Type:Journal Article
- Keywords:
MRI;
acute lymphoblastic leukemia （ALL）;
children;
gray matter;
cerebrospinal fluid （CSF）
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2023;44(2):271-276
- CountryChina
- Language:Chinese
-
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.
