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Updated: Sep 24, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Diffusion Anisotropy Predicts Directional Progression After Complete Resection of Frontal Glioblastoma
Jawad Fares1,2,3, Yonghao Li1,2, Yizhou Wan1,2
1Academic Neurosurgery Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Background And Objectives:
Despite complete resection of contrast-enhancing tumor, glioblastoma frequently progresses due to microscopic invasion beyond surgical margins. In frontal glioblastoma, functional tolerance of anterior and lateral regions enables consideration of supramaximal resection when invasion direction can be anticipated. Imaging biomarkers that predict postresection progression direction may thus inform surgical planning.
Methods:
We performed a retrospective analysis of a prospectively recruited multicenter cohort of patients with newly diagnosed isocitrate dehydrogenase-wildtype frontal glioblastoma who underwent complete resection of contrast-enhancing tumor. Eligible patients had preoperative diffusion tensor imaging (DTI) and longitudinal MRI follow-up. Imaging biomarkers included fluid-attenuated inversion recovery abnormality, isotropic diffusion tensor component, and diffusion anisotropy (DTI-q). Directional progression was classified on follow-up imaging. Predictive performance was assessed using accuracy and McNemar tests, and associations with progression-free survival and overall survival were evaluated.
Results:
Of 229 screened patients, 44 had frontal glioblastoma, and 29 underwent complete resection of contrast enhancement (n = 29). Medial (52%) and posterior (48%) progression were most common. DTI-q demonstrated the highest predictive accuracy across directions (median 0.83), outperforming fluid-attenuated inversion recovery and isotropic diffusion tensor component (median 0.69), with significantly higher paired accuracy for lateral, superior, and inferior progression (P < .001). Inferior progression was associated with the poorest survival, whereas medial progression conferred the most favorable outcomes. Medial DTI-q abnormality was associated with prolonged progression-free survival and overall survival. Invasion patterns suggested lobectomy feasibility in 48% of patients.
Conclusion:
Preoperative DTI-q more accurately predicts directional progression of frontal glioblastoma than conventional MRI after complete resection and identifies surgically relevant invasion patterns. Visualization of spatial invasion patterns along white-matter tracts provides a practical framework for directionally tailored resection planning within surgical navigation workflows.

