Cancer Imaging

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

ONLINE - Conference: 'The Wizardry of Artificial Intelligence: AI and Machine Learning in Cancer Imaging 2.0'. Thursday 22 to Saturday 24 July 2021, from 12:30 (BST).

ONLINE - Webinar: 'Our lives as an academic radiologist and nuclear medicine physician'. Tuesday 13 September 2021, 13:00 (BST).

ONLINE - Conference: ICIS 2021 Annual Teaching Course 'Concepts in Cancer Imaging'. Sunday 19 - Wednesday 22 September 2021.

Further details and registration options are available via the ICIS website.

If you are a member of the International Cancer Imaging Society (ICIS), you can receive a 20% article processing charge (APC) discount for publishing in Cancer Imaging. Please email the Journal Editor for details.

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.

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.

Surprisingly, 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.

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.

Prof Rodney Hicks, The Peter MacCallum Cancer Centre, Australia

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

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

We are delighted to announce that “Nonprostatic diseases on PSMA PET imaging: a spectrum of benign and malignant findings” was the top cited article published in Cancer Imaging of 2020.

Congratulations to all of the authors involved with this research: Felipe de Galiza Barbosa, Marcelo Araujo Queiroz, Rafael Fernandes Nunes, Larissa Bastos Costa, Elaine Caroline Zaniboni, José Flavio Gomes Marin, Giovanni Guido Cerri and Carlos Alberto Buchpiguel.

Cancer Imaging invites you to join our expert team of reviewers in assessing manuscripts. For consideration, please send a copy of your CV along with keywords and expertise to the Journal Editor.