Abstract #0262

MRE-assessed meningioma stiffness and peripheral adhesion characteristics predict the extent of resectability and recurrence probability

Keni Zheng¹, Matthew C. Murphy ¹, Emanuele Camerucci ¹, Xiang Shan¹, Yi Sui¹, Armando Manduca ², Jamie J. Van Gompel³, Richard L. Ehman ¹, John III Huston¹, and Ziying Yin¹

¹Radiology, Mayo Clinic, Rochester, MN, United States, ²Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States, ³Neurosurgery, Mayo Clinic, Rochester, MN, United States

Synopsis

Keywords: Tumors, Brain, Meningiomas, tumor stiffness, tumor adhesion, slip interface imaging, tumor recurrence, tumor resectionThis work explored the value of MR elastography (MRE)-measured tumor stiffness and slip interface imaging (SII)-assessed adhesion metrics in predicting the extent of tumor resection and the probability of meningioma recurrence in 52 patients with meningiomas. Tumor adhesion percentage was assessed based on pattern recognition of the normalized octahedral shear strain (NOSS) map. Tumor stiffness was calculated using a neural network-based inversion (NNI). We found that stiffness correlates with the extent of resection (EOR) that was possible at surgery, while the extent of tumor adhesion showed good correlation with tumor recurrence among aggressive tumors with atypical features.

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