FET PET Radiomics in Neuro-Oncology
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: closed (16 August 2024) | Viewed by 3244
Special Issue Editors
Interests: glioma; image guided radiotherapy; brain metastases; meningioma; radiomics; FET-PET; UHF MRI
Interests: cancer imaging; image post-processing; computer-assisted radiographic image interpretation; computer-assisted diagnosis; 3D-imaging
Special Issue Information
Dear Colleagues,
Radiomics is a rapidly emerging field that involves the extraction and analysis of large amounts of quantitative imaging data from medical images. This approach allows for the identification of subtle patterns and features in the images that are not visible to the human eye. Radiomics has shown great potential for improving the accuracy of diagnosis and prognosis in a wide range of diseases, including brain tumors.
FET PET (18F-fluoro-ethyl-tyrosine positron emission tomography) has shown great promise in improving the accuracy of tumor detection, as well as guiding treatment decisions and monitoring treatment response. By combining the quantitative data extracted through radiomics with the specific information provided by FET PET imaging, researchers and clinicians can gain a more comprehensive understanding of brain tumors and their characteristics. This has the potential to lead to more accurate diagnosis and treatment decisions, as well as improved patient outcomes.
This Special Issue aims to give a comprehensive overview of the current standing of the field, to offer a platform to report the latest developments (clinical and translational), and to discuss future steps to move FET PET radiomics forward.
In this Special Issue, original research articles and reviews are welcome. We look forward to receiving your contributions.
Dr. Inge Compter
Dr. Alberto Traverso
Guest Editors
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Keywords
- FET-PET MRI
- glioma
- brain metastases
- tumor grade
- survival
- radiation necrosis
- pseudoprogression
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