ArticleFrontiers in neuroscience2022
Predicting the true extent of glioblastoma based on probabilistic tractography.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predicting glioblastoma progression using MR diffusion tensor imaging: A systematic review.Journal of neuroimaging : official journal of the American Society of NeuroimagingPooled it
- Free water elimination tractometry reveals local and remote white matter alterations in diffuse gliomas.Journal of neuro-oncology · 2025Article
- Preoperative FLAIR images for identifying glioblastoma boundaries.BMC medical imaging · 2025Article
- Magnetic resonance imaging in glioblastoma radiotherapy - beyond treatment adaptation.Physics and imaging in radiation oncology · 2025Article
- Distinguishing glioblastoma progression from treatment-related changes using DTI directionality growth analysis.Neuroradiology · 2024Article
- Article
- Impact of Postoperative Changes in Brain Anatomy on Target Volume Delineation for High-Grade Glioma.Cancers · 2023Article
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Authors and funding
7 authors.
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Abstract
Glioblastoma is the most frequent type of primary brain tumors. Despite the advanced therapy, most of the patients die within 2 years after the diagnosis. The tumor has a typical appearance on MRI: a central hypointensity surrounded by an inhomogeneous, ring-shaped contrast enhancement along its border. Too small to be recognized by MRI, detached individual tumor cells migrate along white matter fiber tracts several centimeters away from the edge of the tumor. Usually these cells are the source of tumor recurrence. If the infiltrated brain areas could be identified, longer survival time could be achieved through supratotal resection and individually planned radiation therapy. Probabilistic tractography is an advanced imaging method that can potentially be used to identify infiltrated pathways, thus the real extent of the glioblastoma. Our study consisted of twenty high grade glioma patients. Probabilistic tractography was started from the tumor. The location of tumor recurrence on follow-up MRI was considered as the primary infiltrated white matter tracts. The results of probabilistic tractography were evaluated at thirteen different thresholds. The overlap with the tumor recurrence of each threshold level was then defined to calculate the sensitivity and specificity. In the group level, sensitivity (81%) and specificity (90%) were the most reliable at 5% threshold level. There were two outliers in the study group, both with high specificity and very low sensitivity. According to our results, probabilistic tractography can help to define the true extent of the glioblastoma at the time of diagnosis with high sensitivity and specificity. Individually planned surgery and irradiation could provide a better chance of survival in these patients.
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