About this Research Topic
Intracranial meningiomas represent the most prevalent form of predominantly non-malignant brain tumors, accounting for a significant portion of all intracranial neoplasms. Despite their frequency, meningiomas have not been as extensively researched as other brain tumors like gliomas, possibly due to their generally lower malignancy rates and favorable prognosis. However, certain subsets, particularly WHO Grade II and III meningiomas, exhibit aggressive behavior and a higher likelihood of recurrence. Even low-grade meningiomas can pose significant health risks due to their size and location, which may complicate surgical interventions. Additionally, meningiomas in pediatric populations, though rare, tend to be more aggressive than those in adults. Recent research has begun to uncover genetic biomarkers that could predict tumor behavior, including chromosomal instability and specific mutations. Advances in neuroimaging, such as MRI, PET, and the application of artificial intelligence, are enhancing our ability to non-invasively characterize these tumors, offering promise for improved diagnosis and treatment strategies. Despite these advancements, there remains a critical need for further research to refine diagnostic and therapeutic approaches for meningiomas.
This research topic aims to deepen our understanding of the diagnosis and treatment of meningiomas, encompassing a broad spectrum of tumor types and patient demographics. The primary objectives include exploring innovative diagnostic techniques, identifying novel prognostic markers, and developing effective treatment strategies. Key questions include how emerging imaging technologies and genetic insights can be integrated into clinical practice to improve patient outcomes. The research will also test hypotheses related to the efficacy of new treatment modalities and the potential for personalized medicine approaches in managing meningiomas.
To gather further insights into the diagnosis and treatment of meningiomas, we welcome articles addressing, but not limited to, the following themes:
- Advances in Imaging Techniques: Exploring the latest advancements in MRI, CT, PET, and other modalities.
- Radiomics and Model Building: Exploring how radiomics-extracted imaging features aid in developing models for improved clinical decision-making and patient management.
- Utilization of Artificial Intelligence (AI) in Perioperative Management: Exploring the role of AI in optimizing perioperative strategies.
- Emerging Diagnostic and Prognostic Markers for Meningiomas: Focusing on novel markers with the potential to enhance the accuracy of meningioma diagnosis and prognosis.
- Advances in Histopathological, Genetic, and Molecular Characteristics of Meningiomas: Exploring the latest developments in histopathology, genetics, and molecular attributes of meningiomas, along with their clinical implications.
- Implications and Complications of Current Treatment Approaches: Evaluating the effects and adverse outcomes associated with surgical resection, radiotherapy, chemotherapy, radiosurgery, and other treatment approaches.
- Assessment of Comprehensive Treatment Effects: Evaluating the impact of combined treatments, such as surgical resection followed by radiotherapy or radiosurgery.
- Novel Treatment Strategies and Techniques: Exploring new and emerging approaches and treatment algorithms for the management of meningiomas.
This research topic aims to deepen our understanding of the diagnosis and treatment of meningiomas, encompassing a broad spectrum of tumor types and patient demographics. The primary objectives include exploring innovative diagnostic techniques, identifying novel prognostic markers, and developing effective treatment strategies. Key questions include how emerging imaging technologies and genetic insights can be integrated into clinical practice to improve patient outcomes. The research will also test hypotheses related to the efficacy of new treatment modalities and the potential for personalized medicine approaches in managing meningiomas.
To gather further insights into the diagnosis and treatment of meningiomas, we welcome articles addressing, but not limited to, the following themes:
- Advances in Imaging Techniques: Exploring the latest advancements in MRI, CT, PET, and other modalities.
- Radiomics and Model Building: Exploring how radiomics-extracted imaging features aid in developing models for improved clinical decision-making and patient management.
- Utilization of Artificial Intelligence (AI) in Perioperative Management: Exploring the role of AI in optimizing perioperative strategies.
- Emerging Diagnostic and Prognostic Markers for Meningiomas: Focusing on novel markers with the potential to enhance the accuracy of meningioma diagnosis and prognosis.
- Advances in Histopathological, Genetic, and Molecular Characteristics of Meningiomas: Exploring the latest developments in histopathology, genetics, and molecular attributes of meningiomas, along with their clinical implications.
- Implications and Complications of Current Treatment Approaches: Evaluating the effects and adverse outcomes associated with surgical resection, radiotherapy, chemotherapy, radiosurgery, and other treatment approaches.
- Assessment of Comprehensive Treatment Effects: Evaluating the impact of combined treatments, such as surgical resection followed by radiotherapy or radiosurgery.
- Novel Treatment Strategies and Techniques: Exploring new and emerging approaches and treatment algorithms for the management of meningiomas.
Keywords: radiosurgery, skull base surgery, meningioma, brain tumor, intracranial tumor, neuroimaging, artificial intelligence, radiomics, model building, genetic biomarker, comprehensive treatment, novel treatment strategy
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
