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Featured review: iRECIST: how to do it

iRECIST ImageImmune-checkpoint inhibitors represent one of the most important therapy advancements in modern oncology. They are currently used for treatment of multiple malignant diseases especially at advanced, metastatic stages which were poorly therapeutically accessible in the past. A challenging aspect of these immunotherapies is that they may show atypical therapy response patterns such as pseudoprogression and demonstrate a different imaging spectrum of adverse reactions, both of which are crucial for radiologists to understand.

In this review article, Thorsten Persigehl, Simon Lennartz & Lawrence H. Schwartz provide guidance for response assessment of oncologic patients under immunotherapy based on iRECIST criteria.

Springer Nature Oncology Portfolio

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

Forthcoming ICIS Courses

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.

APC discount for ICIS members

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.

Impact of COVID-19 on journal operations

COVID-19As 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.

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.

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.

Editors-in-Chief

Prof Rodney Hicks, The Peter MacCallum Cancer Centre, Australia

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

What is trending?

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

Articles

Top cited article of 2020

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.

Interested in being a peer reviewer?

Reviewer recruitment
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.

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

Annual Journal Metrics

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