Oncological imaging has dramatically evolved over the past decade, transitioning from conventional diagnostic methods to advanced technologies that provide more than mere anatomical insights. These changes are crucial for improving early cancer detection, optimizing treatment plans, and enhancing outcome prediction for patients. Advanced modalities like radiomics, MR relaxometry, radiogenomics, and other specialized techniques equip oncologists with a detailed view of tumor biology, heterogeneity, and treatment response, heralding a new era in cancer management.
This Research Topic aims to explore and expand the frontiers of oncological imaging by leveraging new technologies and methodologies. We are particularly interested in submissions that develop and apply novel radiomic techniques and algorithms, which transform traditional imaging into high-dimensional data sources for comprehensive tumor characterization. By integrating this information with clinical and genomic data, such research endeavors to refine precision oncology, improving therapeutic decisions and patient outcomes.
To gather further insights within this dynamic field, we welcome articles addressing, but not limited to, the following themes:
Novel radiomic approaches and feature extraction algorithms
Clinical applications of radiomics across various cancer types
Radiogenomic studies linking imaging phenotypes with genomic data
AI-driven imaging analysis innovations
New developments in PET and CT imaging techniques
Advances in optical imaging and hybrid imaging modalities
Implementation and impact of novel imaging technologies in clinical settings.
We invite original research, reviews, and methodological papers that highlight the seamless integration of these technologies into clinical practice, thereby fostering improvements in the accuracy of cancer diagnosis, prognosis, and treatment methodologies. Contributions that focus on translational research, clinical applications, and interdisciplinary collaborations are highly encouraged to advance our understanding and application of novel oncological imaging techniques.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Keywords: Radiomics, Oncological, Imaging, radiogenomics, specialized modalities
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.
