Oncology Imaging and Radiotherapy: From Diagnosis to Personalized Management
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 118
Special Issue Editors
Interests: oncology; oncology imaging; radiation oncology; radiotherapy
Special Issue Information
Dear Colleagues,
Advances in oncologic imaging are rapidly transforming the landscape of cancer diagnosis, characterization, and personalized management. The integration of high-resolution anatomical, functional, and molecular imaging modalities, including multiparametric MRI, PET/CT, and emerging hybrid techniques, has significantly improved diagnostic accuracy, tumor characterization, and management personalization. In parallel, innovations in radiotherapy delivery, such as stereotactic techniques, proton beam therapy, and magnetic resonance-guided linear accelerators (MR-guided LINACs), have enabled increasingly precise dose delivery while minimizing toxicity to surrounding healthy tissues.
The convergence of imaging and radiotherapy is now entering a new era driven by radiomics, artificial intelligence, and biologically guided treatment strategies. MR-guided radiotherapy represents a paradigm shift, offering superior soft-tissue visualization, real-time imaging, and online adaptive capabilities that allow daily treatment re-optimization based on anatomical and functional changes. Imaging biomarkers derived from advanced modalities are increasingly being investigated for their role in pretreatment risk assessment, early response prediction, and long-term outcome monitoring, paving the way for truly personalized oncology care.
This Special Issue aims to highlight cutting-edge research at the intersection of oncology imaging and radiotherapy, including advances in imaging techniques, MR-guided radiotherapy, radiomics and AI applications, and translational studies linking imaging biomarkers to clinical outcomes. By bringing together multidisciplinary expertise, we seek to provide a comprehensive overview of current innovations and future directions in this rapidly evolving field.
Dr. Gokoulakrichenane Loganadane
Prof. Dr. Mattia Falchetto Osti
Guest Editors
Manuscript Submission Information
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Keywords
- oncology imaging
- radiotherapy
- MR-guided radiotherapy
- MR-LINAC
- radiomics
- artificial intelligence
- image-guided radiotherapy (IGRT)
- multiparametric MRI
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