Recent studies have significantly advanced our understanding of the molecular and genetic landscape of meningiomas, particularly in relation to risk prediction and treatment outcomes. Hielscher et al. introduced an integrated molecular-morphologic risk prediction model that combines traditional morphological features with molecular data, enhancing the accuracy of risk assessments for meningioma patients (ref: Hielscher doi.org/10.1111/bpa.13132/). This model is crucial for clinical implementation, as it allows for more personalized treatment strategies. In a related study, Dermawan et al. explored the implications of TRAF7 mutations, identifying them as markers of aggressive clinical behavior in fibromyxoid spindle cell tumors, which may also relate to meningioma pathology (ref: Dermawan doi.org/10.1097/PAS.0000000000001997/). Furthermore, Chaluts et al. found that ARID1A mutations significantly increase the risk of recurrence in atypical meningiomas, highlighting the importance of genetic profiling in predicting patient outcomes (ref: Chaluts doi.org/10.1007/s00432-022-04442-y/). These findings collectively underscore the necessity of integrating molecular insights into clinical practice to improve prognostic accuracy and therapeutic approaches. Moreover, the role of specific mutations in treatment resistance has been emphasized by Vasan et al., who demonstrated that NF2 mutations correlate with resistance to radiation therapy in recurrent meningiomas, suggesting that genetic profiling could guide treatment decisions (ref: Vasan doi.org/10.1007/s11060-022-04197-z/). Additionally, Zhang et al. investigated the therapeutic potential of ITF2357, a histone deacetylase inhibitor, which showed promise in inducing apoptosis and cell cycle arrest in meningioma cells, indicating a potential new avenue for treatment (ref: Zhang doi.org/10.1007/s12032-022-01883-w/). Together, these studies illustrate the evolving landscape of meningioma research, where molecular and genetic insights are becoming integral to understanding tumor behavior and improving patient management.

Surgical management of meningiomas has seen significant advancements, particularly in techniques aimed at minimizing complications and improving outcomes. Akimoto et al. conducted a retrospective study that identified preoperative tumor embolization as a protective factor against recurrence, while age and Simpson grade IV resection were associated with higher recurrence rates, emphasizing the need for careful surgical planning (ref: Akimoto doi.org/10.1007/s00701-022-05420-6/). Huang et al. further explored risk factors for peritumoral edema following radiosurgery, finding that larger tumor volumes and specific tumor locations significantly increased the risk, which is critical for preoperative assessments (ref: Huang doi.org/10.3171/2022.8.FOCUS22377/). These findings highlight the importance of tailoring surgical approaches based on individual patient characteristics to optimize outcomes. Innovative surgical techniques have also been explored, such as the unilateral supraorbital keyhole approach for large olfactory-groove meningiomas, as reported by Marenco-Hillembrand et al., which demonstrated effective tumor resection without extensive brain retraction (ref: Marenco-Hillembrand doi.org/10.1016/j.wneu.2022.11.015/). Additionally, Guo et al. described the successful total resection of cerebellopontine angle meningiomas using a presigmoid transmastoid approach, further illustrating the diversity of surgical strategies available (ref: Guo doi.org/10.1097/SCS.0000000000008710/). Gull et al. provided a longitudinal perspective on spinal meningioma surgeries over three decades, revealing improvements in postoperative functional outcomes, which underscores the evolution of surgical techniques and their impact on patient recovery (ref: Gull doi.org/10.3390/medicina58111549/). Collectively, these studies reflect a growing emphasis on refining surgical techniques and understanding their implications for patient outcomes in meningioma management.

The efficacy of radiotherapy in managing meningiomas has been a focal point of recent research, with studies highlighting both clinical outcomes and quality of life considerations. Lisowski et al. conducted a comprehensive analysis of health-related quality of life (HRQoL) in meningioma patients post-radiotherapy, reporting an overall survival rate of 89.6% at five years and 75.9% at ten years, alongside local control rates of 82.4% and 73.4%, respectively (ref: Lisowski doi.org/10.1038/s41598-022-24192-8/). These findings underscore the effectiveness of radiotherapy as a treatment modality, while also emphasizing the need for ongoing assessment of patient quality of life following treatment. In addition, Karras et al. provided insights into the outcomes of stereotactic radiosurgery (SRS) for foramen magnum meningiomas, establishing it as a safe and effective treatment option for selected patients, which is particularly relevant given the anatomical challenges posed by these tumors (ref: Karras doi.org/10.3171/2022.8.FOCUS22299/). Christ et al. further explored the safety and efficacy of primary SRS for intraventricular meningiomas, reporting excellent treatment outcomes and low toxicity, which supports the use of SRS in challenging cases (ref: Christ doi.org/10.1016/j.adro.2022.101098/). Chang et al. proposed a pathophysiological approach to reduce peritumoral edema associated with gamma knife radiosurgery, indicating a potential strategy to enhance treatment tolerability and efficacy for large incidental meningiomas (ref: Chang doi.org/10.3390/life12111683/). Collectively, these studies illustrate the promising role of radiotherapy and SRS in the management of meningiomas, highlighting the importance of tailored treatment strategies to optimize patient outcomes.

The neurocognitive effects of meningiomas and their treatments have garnered increasing attention, particularly as survival rates improve and the focus shifts toward quality of life. Sleurs et al. conducted a voxel-wise analysis revealing that tumor locations in the left temporal and right temporo-parietal areas significantly impact verbal memory and processing speed, respectively, suggesting that the preservation of cognitive function is critical in treatment planning (ref: Sleurs doi.org/10.1007/s11060-022-04181-7/). This highlights the need for neurocognitive assessments as part of the management strategy for patients with intracranial tumors. Moreover, Chitnis et al. explored the application of deep learning methods for brain tumor classification from MRI scans, which could aid in early diagnosis and treatment planning, particularly in under-resourced settings (ref: Chitnis doi.org/10.1038/s41598-022-22172-6/). Zhou et al. investigated the use of 3D Slicer combined with multimodal imaging systems for preoperative planning, demonstrating its advantages in enhancing surgical outcomes and minimizing neurological dysfunction (ref: Zhou doi.org/10.1038/s41598-022-22549-7/). These technological advancements not only improve surgical precision but also have the potential to enhance postoperative quality of life by reducing complications and preserving cognitive function. Overall, the integration of neurocognitive considerations into treatment planning is essential for optimizing patient outcomes in meningioma management.

Understanding the characteristics of meningiomas and the role of advanced imaging techniques is crucial for accurate diagnosis and treatment planning. Rabiee et al. demonstrated that tumor volume correlates with consistency grades, providing valuable insights for surgical planning and predicting surgical outcomes (ref: Rabiee doi.org/10.1016/j.wneu.2022.10.097/). This correlation emphasizes the importance of imaging in assessing tumor characteristics prior to intervention. Additionally, Chen et al. focused on the rare occurrence of lateral ventricle meningiomas in children, highlighting the unique clinicopathological and imaging features that complicate diagnosis and necessitate careful evaluation (ref: Chen doi.org/10.1007/s00381-022-05680-8/). Furthermore, the study by Maekawa et al. investigated the use of oscillating-gradient spin-echo sequences to assess diffusion properties in extra-axial brain tumors, suggesting that changes in diffusivity could provide insights into the internal structure of tumors, which may aid in differentiating tumor types and guiding treatment decisions (ref: Maekawa doi.org/10.1016/j.mri.2022.11.010/). These advancements in imaging techniques not only enhance diagnostic accuracy but also contribute to a better understanding of tumor biology, ultimately informing treatment strategies. Collectively, these studies underscore the critical role of imaging in the management of meningiomas, facilitating improved outcomes through enhanced characterization and assessment.

Identifying clinical risk factors and understanding their implications for prognosis in meningioma patients is essential for optimizing treatment strategies. Ren et al. investigated the role of progesterone receptor expression in predicting the benefits of adjuvant radiotherapy in atypical meningiomas, finding that while adjuvant radiotherapy improved progression-free survival in the overall cohort, it was particularly beneficial in the progesterone receptor-negative subgroup (ref: Ren doi.org/10.3171/2022.9.JNS221530/). This highlights the importance of molecular markers in guiding treatment decisions and tailoring therapies to individual patient profiles. Akimoto et al. further explored risk factors for complications and recurrence following surgery for asymptomatic meningiomas, revealing that preoperative tumor embolization significantly reduced recurrence risk, while older age and incomplete resection were associated with higher recurrence rates (ref: Akimoto doi.org/10.1007/s00701-022-05420-6/). Huang et al. identified multiple risk factors for peritumoral edema after radiosurgery, including tumor volume and location, which are critical for preoperative assessments and management strategies (ref: Huang doi.org/10.3171/2022.8.FOCUS22377/). These findings collectively emphasize the need for comprehensive risk assessments and individualized treatment approaches to improve prognosis and minimize complications in meningioma patients.