Frontiers in Neuroscience (Sep 2022)

White matter alterations in pediatric brainstem glioma: An national brain tumor registry of China study

  • Peng Zhang,
  • Guocan Gu,
  • Yunyun Duan,
  • Zhizheng Zhuo,
  • Changcun Pan,
  • Pengcheng Zuo,
  • Yi Wang,
  • Xiaoou Li,
  • Zhuang Jiang,
  • Liying Qu,
  • Yaou Liu,
  • Liwei Zhang,
  • Liwei Zhang,
  • Liwei Zhang,
  • Liwei Zhang

DOI
https://doi.org/10.3389/fnins.2022.986873
Journal volume & issue
Vol. 16

Abstract

Read online

BackgroundPrevious studies have identified alterations in structural connectivity of patients with glioma. However, white matter (WM) integrity measured by diffusion kurtosis imaging (DKI) in pediatric patients with brainstem glioma (BSG) was lack of study. Here, the alterations in WM of patients with BSG were assessed through DKI analyses.Materials and methodsThis study involved 100 patients with BSG from the National Brain Tumor Registry of China (NBTRC) and 50 age- and sex-matched healthy controls from social recruitment. WM tracts were segmented and reconstructed using U-Net and probabilistic bundle-specific tracking. Next, automatic fiber quantitative (AFQ) analyses of WM tracts were performed using tractometry module embedded in TractSeg.ResultsWM quantitative analysis identified alterations in DKI-derived values in patients with BSG compared with healthy controls. WM abnormalities were detected in the projection fibers involved in the brainstem, including corticospinal tract (CST), superior cerebellar peduncle (SCP), middle cerebellar peduncle (MCP) and inferior cerebellar peduncle (ICP). Significant WM alterations were also identified in commissural fibers and association fibers, which were away from tumor location. Statistical analyses indicated the severity of WM abnormality was statistically correlated with the preoperative Karnofsky Performance Scale (KPS) and symptom duration of patients respectively.ConclusionThe results of this study indicated the widely distributed WM alterations in patients with BSG. DKI-derived quantitative assessment may provide additional information and insight into comprehensively understanding the neuropathological mechanisms of brainstem glioma.

Keywords