Innovations in Cancer Radiation Therapy
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Oncology".
Deadline for manuscript submissions: 25 October 2026 | Viewed by 625
Special Issue Editors
Interests: radiation oncology; breast cancer; multiomics; molecular tumour markers
Special Issue Information
Dear Colleagues,
Radiation therapy is a central component of modern cancer management, used in curative, adjuvant, and palliative settings across a wide range of malignancies. Over recent decades, technological advances in imaging, treatment planning, and delivery have significantly transformed radiation oncology, enabling greater precision and improved sparing of normal tissues. These developments have expanded clinical indications while increasing the complexity of decision-making in daily oncological practice.
This Special Issue aims to provide an up-to-date clinical and translational overview of innovations in cancer radiation therapy that directly impact patient management. The scope includes technological, biological, and clinical advances that support personalized, safe, and effective radiotherapy in routine practice.
Topics of interest include adaptive and image-guided radiotherapy, MRI-guided and particle therapy, stereotactic techniques, flash therapy, integration of radiotherapy with systemic treatments (including immunotherapy), artificial intelligence-based tools for treatment planning and outcome prediction, and advances in radiobiology, biomarkers, and toxicity reduction strategies.
We welcome original clinical and translational research, systematic reviews, meta-analyses, and methodological studies addressing innovative approaches and real-world implementation of modern radiation therapy.
Prof. Dr. Elona Juozaitytė
Guest Editor
Dr. Erika Korobeinikova
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- radiation oncology
- cancer radiotherapy
- adaptive radiotherapy
- stereotactic radiotherapy
- proton therapy
- MRI-guided radiotherapy
- precision oncology
- artificial intelligence
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