Motivation: Differentiating glioblastomas (GBMs) from solitary brain metastases (SBMs) is challenging due to similar MRI appearances, complicating treatment decisions. Advanced diffusion MRI techniques could enhance diagnostic accuracy. Goal (s): This study aims to assess the effectiveness of MAP-MRI and NODDI diffusion parameters, particularly the Orientation Dispersion Index (ODI), in distinguishing GBMs from SBMs. Approach: We conducted MRI on 43 patients with confirmed GBMs or SBMs, analyzing MAP-MRI and NODDI parameters, with a focus on NODDIODI's diagnostic performance. Results: NODDIODI showed high diagnostic accurac, with further improvement in the combined model of MAPQIV, MAPNGRad, and NODDIODI. Impact: MAP-MRI and NODDI offer diagnostic value in distinguishing GBMs from SBMs, with NODDIODI emerging as an effective imaging marker. Combined models show promise as sensitive biomarkers in neuro-oncology, potentially enhancing treatment strategies for GBMs and SBMs.
He et al. (2025) studied this question.