Imaging Diagnosis of Liver Cancers

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 134

Special Issue Editors


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Guest Editor
Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University Hospital “Paolo Giaccone”, Via del Vespro 129, 90127 Palermo, Italy
Interests: abdominal imaging; emergency radiology; liver imaging; pancreatic imaging; radiomics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University Hospital “Paolo Giaccone”, Via del Vespro 129, 90127 Palermo, Italy
Interests: liver; Pancreas; spleen; hepatocellular carcinoma; imaging analysis; MRI

Special Issue Information

Dear Colleagues,

This Special Issue aims to showcase the state of the art, challenges, and future advances in the imaging of liver tumors. As is known, imaging plays a crucial role in liver cancers, as diagnosis, staging, treatment, and the assessment of treatment response all rely on radiological findings.

As radiologists, we have the possibility to refer to many international classifications for therapy response assessment, such as LI-RADS (Liver Imaging Reporting & Data System) in cirrhotic patients, RECIST or mRECIST criteria. However, in many cases, it is still controversial which system should be preferred, especially in challenging scenarios such as post-radioembolization evaluation. Another challenge is represented by immunotherapy, which relies on immune check point inhibitors, monoclonal antibodies, T-cell transfer, and immune system modulators, and significantly challenges the ability of imaging to provide specific answers to clinical demands. Immunotherapy may produce paradoxical responses which are difficult to define with conventional response morphological criteria.

We encourage authors to submit their original reports and reviews on advancements in the interpretation of liver cancer imaging, both pre- and post-treatment, including technological developments and new tools such as dual-energy/spectral computed tomography, as well as new instruments for non-invasive lesion characterization, such as multiparametric and functional imaging or radiomics and artificial intelligence (AI).

Dr. Roberto Cannella
Dr. Giorgia Porrello
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • liver cancer
  • CT
  • MRI
  • RECIST
  • LI-RADS
  • radiomics
  • artificial intelligence

Published Papers

There is no accepted submissions to this special issue at this moment.
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