Mechanical Instability as a Signature of Viscoelastic Decoupling at the Tumor–Brain Interface

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Abstract

Brain tumors alter the viscoelastic equilibrium of surrounding tissue, but how these changes shape the mechanics of tumor–brain coupling remains unclear. This study introduces mechanical instability mapping, a voxelwise measure of imbalance between elastic storage and viscous dissipation derived from magnetic resonance elastography (MRE). Twenty-eight patients (15 meningiomas, 13 glioblastomas) were analyzed using standardized 3 T MRE and tumor segmentation. Quantitative descriptors of instability topology—including skeleton length and branch-point densities, and radial persistence (radial-AUC)—were compared across WHO I, WHO II, and glioblastoma groups. Glioblastomas showed diffuse, branched instability fields with significantly higher skeleton and branch-point densities and lower radial-AUC compared with WHO I meningiomas, which exhibited compact, radially coherent patterns; WHO II meningiomas were intermediate. Group-average probability maps confirmed a transition from coherent to fragmented instability with increasing malignancy. These findings demonstrate that peritumoral mechanical topology reflects the degree of viscoelastic coupling at the tumor–brain interface. Instability mapping thereby extends conventional stiffness-based MRE metrics, offering a quantitative framework for assessing interface integrity and heterogeneity that may aid in elasticity-guided treatment strategies and biomechanical phenotyping of brain tumors.

Statement of significance

Intracranial tumors can disrupt the mechanical equilibrium of the brain, yet how these changes govern tissue deformation, invasion, and surgical behavior remains unclear. Here we introduce mechanical instability mapping —a framework that quantifies the spatial organization of viscoelastic imbalance around tumors using magnetic resonance elastography. Distinct topological patterns of instability differentiate benign from malignant lesions: meningiomas preserve coherent elastic coupling, whereas glioblastomas display fragmented, dissipative fields indicative of invasive, mechanically decoupled growth. These findings identify a new biomechanical signature of tumor–brain interaction and establish instability topology as a quantitative link between imaging, histopathology, and operative mechanics, with potential applications in elasticity-guided neurosurgery, biomechanical phenotyping, and MR-based histopathology.

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