About this Research Topic
Imaging in patients harboring intra- or extra-axial intracranial tumors has seen considerable advances over the recent years. Magnetic resonance imaging (MRI) is the modality of choice for most of such tumor entities and has experienced rapid methodological improvements, including developments in scanner technology, image acceleration, and sequence protocols. Further, increasing efforts target image processing of data collected during MRI exams, ranging from advances in brain and tumor segmentations to application of machine learning and radiomics to improve diagnosis and evaluation of prognosis. This has been accompanied by a better understanding of the functional organization and plastic potential of the human brain when affected by a brain tumor, making additional functional imaging and mapping crucial to gain insights into individual cerebral representation of function such as motor or language. Multi-modal approaches combining structural and functional imaging and mapping are emerging to build a framework to provide precise and individualized diagnosis and treatment for patients with the burden of a brain tumor.
This Research Topic intends to cover a broad theme, welcoming contributions spanning across the fields of (neuro)radiology, neurosurgery, neurology, medical image analysis, and machine learning to streamline latest advances in the field of imaging and mapping in patients with brain tumors. Original research, systematic / narrative / mini review, methods, perspective, clinical trial, case report, brief research report, general commentary, opinion, and technology and code manuscripts are welcome. A special focus is set on the following topics:
- Advances in pre-, intra-, and postoperative or follow-up imaging
- Multi-modal imaging and utility of neuronavigation
- Application of machine learning, artificial intelligence, and radiomics
- Tumor segmentation approaches
- Imaging-based differential diagnosis and differentiation of tumor progression from pseudo-progression
- Image acquisition acceleration
- Diffusion-weighted imaging and tractography
- Brain stimulation and functional mapping
This Research Topic intends to cover a broad theme, welcoming contributions spanning across the fields of (neuro)radiology, neurosurgery, neurology, medical image analysis, and machine learning to streamline latest advances in the field of imaging and mapping in patients with brain tumors. Original research, systematic / narrative / mini review, methods, perspective, clinical trial, case report, brief research report, general commentary, opinion, and technology and code manuscripts are welcome. A special focus is set on the following topics:
- Advances in pre-, intra-, and postoperative or follow-up imaging
- Multi-modal imaging and utility of neuronavigation
- Application of machine learning, artificial intelligence, and radiomics
- Tumor segmentation approaches
- Imaging-based differential diagnosis and differentiation of tumor progression from pseudo-progression
- Image acquisition acceleration
- Diffusion-weighted imaging and tractography
- Brain stimulation and functional mapping
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.
