Recent advancements in imaging techniques have significantly enhanced the diagnostic capabilities for meningiomas. One study demonstrated that incorporating 3D fractal dimension and lacunarity analyses into magnetic resonance imaging (MRI) improved the predictive accuracy for meningioma grading, achieving an area under the curve (AUC) of 0.84 compared to 0.78 for conventional imaging features alone (ref: Park doi.org/10.1007/s00330-020-06788-8/). Another study identified specific MRI characteristics, such as edema volume, heterogeneous contrast enhancement, and irregular tumor shape, as strong predictors of high-grade histology, with odds ratios of 1.00, 3.10, and 2.16 respectively (ref: Spille doi.org/10.1007/s10143-020-01301-7/). These findings underscore the importance of utilizing advanced imaging techniques to enhance preoperative risk stratification and treatment planning. In addition to imaging, the surgical approach to falcine meningiomas has been scrutinized, revealing that gross total resection (GTR) significantly reduces recurrence rates compared to subtotal resection (P ≤ 0.0001) (ref: Mooney doi.org/10.1093/neuros/). Furthermore, a risk score based on clinico-pathological variables has been proposed to predict recurrence in atypical meningiomas, highlighting the need for tailored adjuvant therapies (ref: Fioravanzo doi.org/10.1093/jnen/). The integration of these diagnostic and imaging advancements is crucial for improving patient outcomes and guiding clinical decision-making in meningioma management.