Editorial: Advancements in Meningioma Management: From Imaging Techniques to Personalized Medicine Approaches

Terry Lichtor^*

• Neurosurgery, Rush University Medical Center, Chicago, Illinois, United States

significantly influence the risk of these thromboembolic events. This study highlights the need for early identification and tailored prevention strategies, and the developed predictive models offer useful tools for clinical decision-making.Lan et al, in a research report, A novel compound, SYHA1813, inhibits malignant meningioma growth directly by boosting p53 pathway activation and impairing DNA repair.Novel antitumor agents are being developed for treatment of meningiomas. Results have shown that the unique agent SYHA1813 can directly target and kill meningioma cells both in vitro and in vivo. This is a promising therapeutic agent that boosts p53 pathway activation and impairs DNA repair. This agent has been used in a clinical trial of patients with recurrent meningioma with evidence of anti-tumor activity Vychopen et al, in a systemic review, Intraoperative tranexamic acid administration in cranial meningioma surgery: a meta-analysis of prospective randomized, doubleblinded, and placebo-controlled trials. Cranial meningioma surgery also often involves significant blood loss. A single intraoperative dose of tranexamic acid, which is an antifibrinolytic agent, has been shown to reduce blood loss and blood transfusions along with shortening surgery time.Manli Du Du, in a research report, Leveraging named entity recognition for enhanced meningioma management: integrating imaging and personalized medicine data.Advanced computational techniques have been shown to be important in the development of treatment strategies. As diagnostic and treatment paradigms evolve, there is a growing emphasis on leveraging high-throughput data and artificial intelligence to inform clinical decision-making. Traditional Named Entity Recognition (NER) methods, often reliant on rule-based systems or conventional machine learning algorithms, struggle with the complexity and variability inherent in medical texts. Recent advancements in deep learning and transformer-based language models offer promising alternatives by enabling context-aware recognition and improved generalization across varied datasets. Integrating models into biomedical pipelines could significantly enhance the extraction of meaningful information, ultimately facilitating more precise and individualized approaches to meningioma care.Muratbek et al, case report, Simultaneous surgical management of a giant tuberculum sellae meningioma and pregnancy-related complications: a case report and literature review. Meningiomas pose a unique challenge during pregnancy. Their growth can accelerate due to hormonal and hemodynamic changes which require balance for maternal and fetal risks. On occasion neurosurgical and obstetric procedures are done simultaneously when clinically indicated for optimal outcome. A meticulously planned multidisciplinary approach based on a comprehensive assessment of tumor-related clinical manifestations, physiological changes during pregnancy, and potential risks to both the mother and the fetus are necessary. The development of standardized clinical guidelines will help optimize treatment strategies, enhance the safety and effectiveness of patient management, and ensure the most favorable perinatal and neurological outcomes.Pu et al, case report, Surgical treatment of primary intracranial and extracranial communication leiomyosarcoma: a case report. Primary intracranial-extracranial communicating leiomyosarcomas, capable of invading both intracranial and extracranial regions and involving complex anatomical structures, are exceedingly rare neoplasms with surgery as the primary treatment modality. The decision to remove the lesion should consider the patient's age, tumor location, pathological features, and presence of distant metastases.Zhenwei et al, case report, Primary subcutaneous Rosai-Dorfman-Destombes of the scalp with intra-cranial involvement: diagnosis and treatment of a rare case with literature review. There are other disorders such as Rosai-Dorfman-Destombes Disease (RDD) which is a rare histiocytic proliferative disorder with features and clinical manifestations like those of intracranial meningiomas. This disorder is associated with primary scalp and intracranial involvement, and CT and MRI scans in these lesions show scalp and intracranial extension. This disorder reinforces the importance of multidisciplinary collaboration in the diagnosis and treatment of RDD, particularly in rare and complex cases involving the central nervous system. Imaging, pathological evaluation, and clinical history must all be integrated to arrive at an accurate diagnosis, which can significantly affect the treatment approach and prognosis. In preoperative imaging, paying close attention to subtle changes in cranial bones and lesion characteristics can improve diagnostic accuracy and prevent surgical oversight. Extensive surgery can often lead to total removal of this tumor.