Brain tumors are generally classified into two main categories: primary and metastatic, with metastatic tumors commonly originating from the lungs, breasts, and skin. Over 100 distinct types of primary CNS tumors contribute to a variety of histopathological and molecular profiles, each with unique clinical presentations, treatment strategies, and prognostic implications. Recent advancements in molecular diagnostics, along with traditional histology and immunohistochemistry, have enhanced our understanding of the histogenetic classification of these tumors, as reflected in the latest WHO classification (5th edition) of brain tumors.
Despite therapeutic advancements, the prognosis for patients with brain tumors, particularly those with high-grade neoplasms, remains poor. The heterogeneity and complexity of these tumors underscore the need for personalized, targeted treatment approaches. MRI continues to be the primary imaging modality for diagnosis and monitoring, though its limitations in detecting the full extent of tumor infiltration and differentiating between neoplastic and non-neoplastic changes, especially in post-treatment settings, highlight a critical need for advanced imaging techniques.
The goal of this Research Topic is to review recent advancements in neuro-oncological imaging modalities and their impact on managing brain tumors. By focusing on innovations in diagnosis, cancer staging, prognostication, pre-treatment assessment, and treatment monitoring, we aim to highlight the enhanced accuracy and effectiveness these tools bring to neuro-oncology. Specifically, this topic explores how emerging imaging technologies can refine clinical decision-making and optimize personalized therapeutic strategies, addressing current challenges in neuro-oncological care.
This Research Topic invites contributions that examine the latest developments in neuro-oncological imaging and their applications. We welcome high-quality submissions in the form of original research articles, reviews, mini-reviews, perspectives, case reports, and brief research reports. Submissions may address, but are not limited to, the following themes:
• Advances in MRI techniques, including diffusion, perfusion, spectroscopy, and functional/connectivity imaging
• Innovations in Nuclear Medicine, such as PET tracers and radiolabeled amino acids, and PET/MRI applications
• Developments in ultrasound techniques for neuro-oncological imaging
• Advances in radiation therapy imaging
• The role of artificial intelligence in neuro-oncological imaging
• Multi-omics approaches for detailed tumor landscape profiling
This collection seeks to foster a comprehensive understanding of how advanced imaging modalities are reshaping the landscape of neuro-oncology, paving the way for more precise, individualized care.
Brain tumors are generally classified into two main categories: primary and metastatic, with metastatic tumors commonly originating from the lungs, breasts, and skin. Over 100 distinct types of primary CNS tumors contribute to a variety of histopathological and molecular profiles, each with unique clinical presentations, treatment strategies, and prognostic implications. Recent advancements in molecular diagnostics, along with traditional histology and immunohistochemistry, have enhanced our understanding of the histogenetic classification of these tumors, as reflected in the latest WHO classification (5th edition) of brain tumors.
Despite therapeutic advancements, the prognosis for patients with brain tumors, particularly those with high-grade neoplasms, remains poor. The heterogeneity and complexity of these tumors underscore the need for personalized, targeted treatment approaches. MRI continues to be the primary imaging modality for diagnosis and monitoring, though its limitations in detecting the full extent of tumor infiltration and differentiating between neoplastic and non-neoplastic changes, especially in post-treatment settings, highlight a critical need for advanced imaging techniques.
The goal of this Research Topic is to review recent advancements in neuro-oncological imaging modalities and their impact on managing brain tumors. By focusing on innovations in diagnosis, cancer staging, prognostication, pre-treatment assessment, and treatment monitoring, we aim to highlight the enhanced accuracy and effectiveness these tools bring to neuro-oncology. Specifically, this topic explores how emerging imaging technologies can refine clinical decision-making and optimize personalized therapeutic strategies, addressing current challenges in neuro-oncological care.
This Research Topic invites contributions that examine the latest developments in neuro-oncological imaging and their applications. We welcome high-quality submissions in the form of original research articles, reviews, mini-reviews, perspectives, case reports, and brief research reports. Submissions may address, but are not limited to, the following themes:
• Advances in MRI techniques, including diffusion, perfusion, spectroscopy, and functional/connectivity imaging
• Innovations in Nuclear Medicine, such as PET tracers and radiolabeled amino acids, and PET/MRI applications
• Developments in ultrasound techniques for neuro-oncological imaging
• Advances in radiation therapy imaging
• The role of artificial intelligence in neuro-oncological imaging
• Multi-omics approaches for detailed tumor landscape profiling
This collection seeks to foster a comprehensive understanding of how advanced imaging modalities are reshaping the landscape of neuro-oncology, paving the way for more precise, individualized care.