Mapping glioblastoma-induced neurological deficits: A brain atlas
- PMID: 40253841
- DOI: 10.1016/j.clineuro.2025.108911
Mapping glioblastoma-induced neurological deficits: A brain atlas
Abstract
Background: Identifying radiological characteristics and brain regions associated with neurological deficits in glioblastoma patients can improve diagnostic evaluation and understanding of the disease's impact on neurological function.
Methods: The retrospective study included 527 newly diagnosed glioblastoma patients. Eligibility criteria included pathologically confirmed IDH-wild type glioblastoma, availability of pre- and post-contrast MRIs, and detailed neurological examination reports. Contrast-enhancing tumors (CET) and non-contrast-enhancing lesions (NEL) were segmented from 3 Tesla MRI scans. Lesion volumes from patients without neurological deficits compared with symptomatic patients using either the Mann-Whitney test or Kruskal-Wallis test. Voxel-wise lesion-symptom mapping was conducted using Fisher-exact-test followed by random permutation analysis (ADIFFI) to identify brain regions with higher occurrences of deficit-associated lesions.
Results: Location of CET and NEL within the brain were associated with specific neurological deficits. Larger CET and NEL volumes were associated with increased neurological deficits (CET: rs = 0.15, p = 0.0006; NEL: rs = 0.22, p < 0.0001). Lesion volumes were smaller in patients without neurological deficits (CET: 4.97 ± 0.69 ml vs. 20.0 ± 0.9 ml, p < 0.0001). Epilepsy-associated lesions were also smaller (CET: 4.59 ± 0.55 ml vs. 22.0 ± 0.9 ml, p < 0.0001).
Conclusion: The study highlights that neurological and epilepsy status at pre-treatment provide estimates of glioblastoma lesion volumes and locations. The correlation between lesion volumes and neurological deficits underscores the significance of comprehensive radiological assessments in glioblastoma patients. These findings support the use of detailed lesion-symptom mapping to guide clinical management and prognosis evaluation in glioblastoma.
Keywords: Diagnosis; Epilepsy; Glioblastoma; MRI; neurological assessment.
Copyright © 2025 The Authors. Published by Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
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