Glioblastoma has a poor prognosis due to the disease’s complex pathogenesis. Survival prediction based on images acquired prior to treatment may allow for a more personalised approach to care. The article by Wiltgen, T., Fleischmann, D.F., et al. has found that 18F-FET PET prior to radiation provides relevant information for survival prediction in glioblastoma patients.
Featured Article: 18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy
Call for papers on artificial intelligence
We are pleased to announce a new cross-journal thematic series on ‘’Artificial intelligence in Cancer imaging and diagnosis" to help bring together the latest research on the application of artificial intelligence in this field. Please click here for more information about this series.
The thematic series is now open for submission of original research and review articles. Please click here to submit your manuscript to this series.
Aims and scope
Radiation Oncology encompasses all aspects of research that impacts on the treatment of cancer using radiation. It publishes findings in molecular and cellular radiation biology, radiation physics, radiation technology, and clinical oncology.
The field of radiation oncology covers the integration of radiation therapy into multimodal treatment approaches. Radiation Oncology provides an open access forum for researchers and clinicians involved in the management and treatment of cancer patients, bringing together the latest research and advances in the field. Advances in treatment technology, as well as improved understanding of the underlying biological resistance mechanisms, will further strengthen the role of radiation oncology.
Prof Claus Belka, Ludwig Maximilian University of Munich, Germany
Please click here to read the Editor's Profile.
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Springer Nature Oncology Portfolio
Discover the range of academic oncology titles at Springer Nature here.
The Chinese American Hematologist and Oncologist Network (CAHON) has published an important and timely Editorial in the Journal of Hematology & Oncology. Radiation Oncology is proud to stand with them in denouncing in the strongest terms all forms of discrimination and crimes against any racial/ethnic group, including Asian Americans and Pacific Islanders, and to call on our readers to pursue racial equality and tolerance in the USA and beyond.
This special issue of Radiation Oncology – dedicated to the latest advancements in MR-guided radiotherapy – presents a collection of review and research articles highlighting the status of the field. The contributions discuss recent challenges, and present potential future directions.
Guest Edited by Dr Stefanie Corradini & Dr Maximilian Niyazi, Ludwig Maximilian University of Munich, Germany
Research Data Support
Authors submitting to this journal can opt to use a new service that will make it easier to share research data.
The editorial team of Radiation Oncology would like to thank all of our reviewers who have contributed to the journal.
A peer-reviewed journal would not survive without the generous time and insightful comments of the reviewers, whose efforts often go unrecognized. Although final decisions are always editorial, they are greatly facilitated by the deeper technical knowledge, scientific insights, understanding of social consequences, and passion that reviewers bring to our deliberations.
Annual Journal Metrics
2022 Citation Impact
3.6 - 2-year Impact Factor
3.8 - 5-year Impact Factor
1.370 - SNIP (Source Normalized Impact per Paper)
1.037 - SJR (SCImago Journal Rank)
8 days submission to first editorial decision for all manuscripts (Median)
103 days submission to accept (Median)
1,317 Altmetric mentions