Structural changes in corticospinal tract profiling via multishell diffusion models and their relation to overall survival in glioblastoma

医学 胶质母细胞瘤 危险系数 磁共振弥散成像 皮质脊髓束 比例危险模型 内科学 肿瘤科 多元分析 核医学 病理 放射科 磁共振成像 癌症研究 置信区间
作者
Peng Wang,He Zhao,Zhiyue Hao,Xueying Ma,Shaoyu Wang,Huapeng Zhang,Qiong Wu,Yang Gao
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:175: 111477-111477
标识
DOI:10.1016/j.ejrad.2024.111477
摘要

Purpose Advanced MR fiber tracking imaging reflects fiber bundle invasion by glioblastoma, particularly of the corticospinal tract (CST), which is more susceptible as the largest downstream fiber tracts. We aimed to investigate whether CST features can predict the overall survival of glioblastoma. Methods In this prospective secondary analysis, 40 participants (mean age, 58 years; 16 male) pathologically diagnosed with glioblastoma were enrolled. Diffusion spectrum MRI was used for CST reconstruction. Fifty morphological and diffusion indicators (DTI, DKI, NODDI, MAP and Q-space) were used to characterize the CST. Optimal parameters capturing fiber bundle damage were obtained through various grouping methods. Eventually, the correlation with overall survival was determined by the hazard ratios (HRs) from various Cox proportional hazard model combinations. Results Only intracellular volume fraction (ICVF) and non-Gaussianity (NG) values on the affected tumor level were significant in all four groups or stratified comparisons (all P < .05). During the median follow-up 698 days, only the ICVF on the affected tumor level was independently associated with overall survival, even after adjusting for all classic prognostic factors (HR [95 % CI]: 0.611 [0.403, 0.927], P = .021). Moreover, stratification by the ICVF on the affected tumor level successfully predicted risk (P < .01) and improved the C-index of the multivariate model (from 0.695 to 0.736). Conclusions This study demonstrates a relationship between NODDI-derived CST features, ICVF on the affected tumor level, and overall survival in glioblastoma. Independent of classical prognostic factors for glioblastoma, a lower ICVF on the affected tumor level might predict a lower overall survival.
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