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Discounts and waivers on APCs

Authors may be eligible for a discounted or waived article processing charges (APCs) in Cancer Imaging if their institution is a participant in one of Springer Nature’s fully open access agreements. Fees are routinely waived for authors from low-income countries. For other countries, APC waivers or discounts are granted on a case-by-case basis to authors with insufficient funds. Authors can request a waiver or discount during the submission process.

Discount for ICIS members
If you are a member of the International Cancer Imaging Society (ICIS), you will receive a 20% discount for publishing in Cancer Imaging. Please email the Journal Editor for details.

Aims and scope

Cancer Imaging is an open access, peer-reviewed journal publishing original articles, reviews and editorials written by expert international radiologists working in oncology.

The journal encompasses CT, MR, PET, ultrasound, radionuclide and multimodal imaging in all kinds of malignant tumours, plus new developments, techniques and innovations.  

Please click here for more information.

Peer Review Taxonomy

This journal is participating in a pilot of NISO/STM's Working Group on Peer Review Taxonomy, to identify and standardize definitions and terminology in peer review practices in order to make the peer review process for articles and journals more transparent. Further information on the pilot is available here.

The following summary describes the peer review process for this journal:

Identity transparency: Single anonymized
Reviewer interacts with: Editor
Review information published: None

We welcome your feedback on this Peer Review Taxonomy Pilot. Please can you take the time to complete this short survey.


Prof Rodney Hicks, The Peter MacCallum Cancer Centre, Australia

Prof Annick Van den Abbeele, Dana-Farber Cancer Institute, USA 


Call for papers: Ultra-extended field-of-view PET/CT

More information on this series is available here on our website.

All submissions to this series must be pre-approved. Prospective authors should contact the Editorial Office with an outline of their paper, the lead author name, and institution. Submission deadline is 31 December 2022.

Call for papers on artificial intelligence

Artificial intelligence in Cancer imaging and diagnosis

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.

Featured: How I read Cancer Imaging Studies: The Master Class Series

Master Class SeriesSurprisingly, in contrast to the literature regarding the outcomes of imaging, the methods that underpin the generation of an imaging report and how to communicate the findings cogently to referring clinicians remain something of a ‘black box'. In this thematic series, experts across various modalities detail their approach to reporting scans in particular disease settings.

Please click here to visit the series collection page.

What is trending?

AltmetricClick here to see which articles published in Cancer Imaging have been shared the most in the past three months.

Springer Nature Oncology Portfolio

Discover the range of academic oncology titles at Springer Nature here.

Editor's quote

A major focus of Prof Rodney Hicks' (Co-Editor-in-Chief of Cancer Imaging) clinical research has been to assess the impact of PET on patient management and prognostic stratification. 

"A few years ago I changed the name of my department from Diagnostic Imaging to Cancer Imaging since it occurred to me that little of what we do is diagnostic.  Increasingly, the role of imaging in cancer is in selecting, planning and monitoring treatment.  The challenge of imaging science is to establish our techniques as prognostic and predictive biomarkers and to show that our results improve patient outcomes"

Prof Rodney Hicks, Co-Editor-in-Chief, Cancer Imaging

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