Treatment of cancer under the impression of the COVID-19 pandemic is associated with completely new challenges. Based on several underlying factor cancer patients per se harbor an increased risk for dismal outcome of COVID. Age, malnutrition, pre-existing lung disorders and immune suppression comprise the most notable factors to be taken into account in cancer patients. As radiotherapy is one of the major pillars in oncology, there is an urgent need for recommendations on how to deal with various facets of COVID-19 in the framework of radiation oncology. The article by S. Combs et al represents the result of a consensus discussion between representatives from five large University Hospitals in Germany, Austria and Switzerland.
Featured Article: First statement on preparation for the COVID-19 pandemic in large German Speaking University-based radiation oncology departments
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.
Editor-in-Chief
Prof Claus Belka, Ludwig Maximilian University of Munich, Germany
Please click here to read the Editor's Profile.
What is trending?
Click here to see which articles published in Radiation Oncology have been shared the most in the past three months.
Articles
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Impact of four-dimensional cone-beam computed tomography on target localization for gastric mucosa-associated lymphoid tissue lymphoma radiotherapy: reducing planning target volume
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Real-time liver tracking algorithm based on LSTM and SVR networks for use in surface-guided radiation therapy
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Deep learning-based automatic delineation of the hippocampus by MRI: geometric and dosimetric evaluation
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Clinical predictors of pathological good response in locally advanced rectal cancer
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Adjuvant radiotherapy of regional lymph nodes in breast cancer - a meta-analysis of randomized trials
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Wound healing after radiation therapy: Review of the literature
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Accelerated Partial Breast Irradiation (APBI): A review of available techniques
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Treatment and prognosis of patients with late rectal bleeding after intensity-modulated radiation therapy for prostate cancer
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Survival of women with clear cell and papillary serous endometrial cancer after adjuvant radiotherapy
MR-guided Radiotherapy
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
Article Collections
Please click here to view all Collections published to date in Radiation Oncology.
If you would like to publish a Collection with Radiation Oncology, please submit an enquiry to the Journal Editor.
Impact of COVID-19 on journal operations
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
We are trying our best to work through this crisis as efficiently and effectively as possible and thank you for your support and patience during these challenging times.
Thumbnail image by Felipe Esquivel Reed, used under Creative Commons Attribution-Share Alike 4.0 license.
Research Data Support
Authors submitting to this journal can opt to use a new service that will make it easier to share research data.
Comment on articles published
Radiation Oncology allows comments to be made on all articles published in the journal. This function provides authors and the wider scientific community a forum for discussion of articles and topics within the field of radiation oncology. To add a comment please visit the webpage for the article you would like to comment on – the comments section can be found at the bottom of this page. Add your comments now and join the discussion!
Reviewer Acknowledgement
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.
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Annual Journal Metrics
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Speed
58 days to first decision for reviewed manuscripts only
43 days to first decision for all manuscripts
118 days from submission to acceptance
19 days from acceptance to publication
Citation Impact
2.817 - 2-year Impact Factor
2.913 - 5-year Impact Factor
1.167 - Source Normalized Impact per Paper (SNIP)
1.035 - SCImago Journal Rank (SJR)
Usage
1,016,656 Downloads
560 Altmetric mentions
