Recent advancements in imaging techniques have significantly improved the diagnosis and management of meningiomas. A study by Wagner et al. compared fluorescein-stained confocal laser endomicroscopy (CLE) with conventional frozen section (FS) for intraoperative histopathological assessment. While the diagnostic accuracy of CLE was slightly inferior (0.87) compared to FS (0.91), it offered a substantial time advantage, reducing the median time to diagnosis from 27 minutes for FS to just 3 minutes for CLE (P < .001) (ref: Wagner doi.org/10.1093/neuonc/). Additionally, Fang et al. utilized multiphoton microscopy to identify five primary architecture subtypes of meningiomas, emphasizing the importance of precise subtyping for surgical planning (ref: Fang doi.org/10.1016/j.labinv.2024.100324/). Ratnayake et al. further explored the utility of 68Ga-DOTATATE PET-MRI in Gamma Knife stereotactic radiosurgery, revealing that its addition increased gross tumor volume (GTV) delineation but also led to greater interobserver variability, highlighting the need for careful interpretation of imaging results (ref: Ratnayake doi.org/10.1093/bjr/). Kim et al. established a tumor microenvironment-preserving organoid model from meningioma patients, providing a novel platform for studying tumor biology and treatment responses (ref: Kim doi.org/10.1186/s12935-024-03225-4/). Lastly, Yang et al. conducted a SEER-based analysis revealing that surgical compliance significantly impacts survival outcomes in meningioma patients, with various demographic and clinical factors influencing compliance (ref: Yang doi.org/10.1186/s12893-024-02326-1/). These studies collectively underscore the evolving landscape of meningioma diagnosis and the critical role of advanced imaging techniques in enhancing surgical outcomes.

The genetic landscape of meningiomas has been increasingly characterized through various studies, revealing significant insights into their molecular profiles. Hua et al. conducted a multi-institutional study on foramen magnum meningiomas, identifying clinically actionable mutations through targeted next-generation sequencing of 62 tumors. This study highlighted the prevalence of mutations in key genes such as AKT1 and NF2, which are crucial for understanding tumor behavior and guiding treatment strategies (ref: Hua doi.org/10.3171/2023.11.JNS231936/). Tosefsky et al. focused on grade 3 meningiomas, demonstrating that molecular alterations, including immunohistochemical loss of p16 and MTAP, are more predictive of clinical outcomes than traditional histological features (ref: Tosefsky doi.org/10.1093/noajnl/). Umbach et al. examined hyperostotic meningiomas, finding a significant association between specific DNA methylation groups and the presence of mutations, suggesting that genetic profiling can inform prognosis and treatment (ref: Umbach doi.org/10.1227/ons.0000000000001052/). Additionally, Aran et al. explored the potential of liquid biopsy techniques to evaluate circulating tumor DNA and miRNAs in meningioma patients, indicating a promising non-invasive approach for monitoring disease progression and treatment response (ref: Aran doi.org/10.3389/fneur.2023.1321895/). Collectively, these studies illustrate the importance of genetic and molecular profiling in enhancing our understanding of meningioma biology and improving patient management.

Surgical techniques for meningioma resection have evolved, with recent studies highlighting predictors of outcomes and complications. Jimenez et al. investigated electromyographic predictors of abducens nerve palsy following endoscopic skull base surgery, finding that abnormal f-EMG activity and lower median compound muscle action potential (CMAP) amplitudes were significantly associated with postoperative nerve palsy (ref: Jimenez doi.org/10.3171/2023.10.JNS23648/). Khazanchi et al. conducted a population-based study revealing that patients undergoing craniotomy for meningioma were more likely to be overweight or obese compared to those with other intracranial tumors, suggesting that obesity may influence surgical outcomes (ref: Khazanchi doi.org/10.3171/2023.11.JNS23732/). Liu et al. introduced an expanded anterior petrosectomy approach, allowing for greater exposure and resection of meningiomas located in challenging areas, which may improve surgical outcomes (ref: Liu doi.org/10.3171/2023.11.JNS231303/). Bakhsh et al. explored the association between systemic inflammation and seizure phenotypes post-resection, indicating that inflammatory markers could serve as predictors for seizure development (ref: Bakhsh doi.org/10.1016/j.jocn.2024.01.003/). Lastly, Srinivasan et al. developed a hybrid deep convolutional neural network model for brain tumor classification, achieving high accuracy rates, which could enhance preoperative planning and decision-making (ref: Srinivasan doi.org/10.1186/s12880-024-01195-7/). These findings collectively emphasize the importance of refining surgical techniques and understanding patient-specific factors to optimize outcomes in meningioma surgery.

The epidemiology of meningiomas has been extensively studied, revealing various risk factors and associations with other conditions. Heymer et al. highlighted the increased risk of subsequent gliomas and meningiomas among childhood cancer survivors, particularly those who underwent cranial radiotherapy, with cumulative incidence rates reaching 5.0% by age 60 (ref: Heymer doi.org/10.1038/s41416-024-02577-y/). Yang et al. further investigated surgical compliance in meningioma patients, identifying demographic factors such as age, sex, and tumor characteristics that influence compliance and subsequently affect survival outcomes (ref: Yang doi.org/10.1186/s12893-024-02326-1/). Moseeva et al. assessed the risk of CNS tumor incidence among workers exposed to ionizing radiation, finding no significant correlation between radiation dose and meningioma incidence, which raises questions about the role of environmental factors in tumor development (ref: Moseeva doi.org/10.1007/s00411-023-01054-z/). Zhang et al. employed Mendelian randomization to explore causal associations between neurodegenerative diseases and neurological tumors, concluding that biological aging does not significantly correlate with the risk of these tumors (ref: Zhang doi.org/10.3389/fnins.2023.1321246/). These studies collectively underscore the multifaceted nature of meningioma risk factors, highlighting the need for ongoing research to better understand their etiology and implications for patient management.

Treatment strategies for meningiomas are evolving, with a focus on personalized approaches based on genetic and molecular profiles. Aran et al. explored the use of liquid biopsy to evaluate circulating tumor DNA and miRNAs in meningioma patients, demonstrating its potential as a non-invasive method for monitoring treatment responses and disease progression (ref: Aran doi.org/10.3389/fneur.2023.1321895/). Imura et al. investigated microRNA expression in patients with neurofibromatosis type 2, revealing distinct profiles depending on the presence of meningioma, which could inform targeted therapies (ref: Imura doi.org/10.2176/jns-nmc.2023-0200/). Tosefsky et al. emphasized the importance of molecular prognostication in grade 3 meningiomas, suggesting that immunohistochemical markers such as p16 and MTAP could aid in predicting clinical outcomes and guiding treatment decisions (ref: Tosefsky doi.org/10.1093/noajnl/). These findings highlight the shift towards integrating molecular characteristics into treatment planning, aiming to improve patient outcomes through tailored management strategies.

Understanding the growth dynamics of meningiomas is crucial for developing effective monitoring and treatment strategies. Strand et al. conducted a study on untreated meningiomas, analyzing growth characteristics through repeated MRI scans in 235 patients. Their findings provide insights into the natural history of these tumors and factors associated with growth rates, which could inform follow-up protocols (ref: Strand doi.org/10.1093/noajnl/). Yang et al. also highlighted the impact of surgical compliance on survival outcomes, indicating that adherence to treatment protocols is a significant prognostic factor (ref: Yang doi.org/10.1186/s12893-024-02326-1/). Additionally, Zhang et al. presented a case study of cavernous sinus adenoid cystic carcinoma mimicking meningioma, illustrating the challenges in differential diagnosis and the importance of accurate imaging and histological assessment (ref: Zhang doi.org/10.21037/qims-23-938/). Kim et al. established a tumor microenvironment-preserving organoid model, which may facilitate future research on tumor behavior and treatment responses (ref: Kim doi.org/10.1186/s12935-024-03225-4/). These studies collectively emphasize the need for a nuanced understanding of meningioma growth and the factors influencing prognosis to enhance clinical management.

The integration of neurosurgical adjuncts and innovations is transforming the management of meningiomas, enhancing surgical precision and patient outcomes. Adegboyega et al. conducted a scoping review on the use of neurosurgical adjuncts in Africa, highlighting the disparities in access and utilization compared to high-income countries, and suggesting potential solutions to improve care delivery (ref: Adegboyega doi.org/10.1016/j.wneu.2023.12.159/). Patwe et al. surveyed the status of stereotactic radiosurgery technology and quality assurance practices in India, marking a significant step towards standardizing advanced treatment modalities in the region (ref: Patwe doi.org/10.4103/jcrt.jcrt_459_23/). Srinivasan et al. developed a hybrid deep convolutional neural network model for multi-classification of brain tumors, achieving high accuracy rates that could revolutionize preoperative imaging and diagnosis (ref: Srinivasan doi.org/10.1186/s12880-024-01195-7/). Bakhsh et al. explored the relationship between systemic inflammation and seizure phenotypes post-meningioma resection, indicating that inflammatory markers may serve as predictive tools for postoperative complications (ref: Bakhsh doi.org/10.1016/j.jocn.2024.01.003/). These advancements underscore the importance of integrating innovative technologies and adjuncts into neurosurgical practice to improve outcomes for meningioma patients.