PET/CT Imaging in Oncology: Innovations, Challenges, and Opportunities

Dear Colleagues,

PET/CT has been the fastest-growing image modality in recent decades. This growth has been bolstered, on one hand, by the approval of new radiotracers, which have been instrumental in addressing the known limitations of FDG. On the other hand, the constant research of new possible indications of FDG-PET has led to the implementation of this tracer in many new clinical settings (e.g., image-guided surgery). Finally, advanced image analysis (including, but not limited to, radiomics, machine learning, automatic target segmentation, computer vision, augmented reality, etc.) has given new value to the acquired data and possesses the potential to increase the volume of information that imaging specialists and clinicians are able to extract from images. These aspects represent the pillars that will support the further growth of nuclear medicine. This Special Issue aims to include a selection of high-quality papers on the clinical and research applications of FDG and non-FDG tracers. Moreover, it will include scientific reports of advanced methods of image analysis, with a particular focus on image-based dosimetry and quantification, automatic segmentation, tumor burden calculation, computer-assisted diagnosis, and machine learning methods. The overall objective of this Special Issue is to provide an overview of the future directions of molecular imaging research, and, more in general, of innovative image analysis techniques.

I am pleased to invite you to contribute to this Special Issue, entitled "PET/CT Imaging in Oncology: Innovations, Challenges, and Opportunities". This is a new volume of a Special Issue in which we published 16 papers in its first incarnation. For further details, please visit: https://www.mdpi.com/journal/jcm/special_issues/PET_CT_Imaging

Dr. Arnoldo Piccardo
Dr. Francesco Fiz
Guest Editors

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