Diagnostic Imaging in Colorectal Cancer

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Radiobiology and Nuclear Medicine".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 112

Special Issue Editors

E-Mail Website
Guest Editor
Institute of Radiology, Department of Medicine—DIMED, University of Padua, 35128 Padua, Italy
Interests: MRI; PET; diagnostic imaging
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Radiology, Department of Medicine—DIMED, University of Padua, 35128 Padua, Italy
Interests: artificial intelligence; radiomics; radioprotection; photon counting CT; oncological imaging; cardiovascular imaging

Special Issue Information

Dear Colleagues,

Imaging plays a crucial role in the complex approach to colorectal cancer, based on screening, diagnosis, staging, restaging and monitoring for recurrence. The push for standardized reporting systems by scientific societies is to refine the detection of small lesions and reduce report variability.

Artificial intelligence (AI), radiomics and PET/MRI are at the forefront of advances in colorectal cancer imaging. In this context, texture analysis is a groundbreaking tool that allows for software to extract additional features that are not visible to the human eye in ultrasound, CT and MRI images. This quantitative approach in colorectal cancer assays can present a new era in diagnostics, potentially augmented by AI for data management.

PET/MRI has emerged as a superior imaging modality, offering a fusion of detailed anatomical views from MRI with functional insights from PET scans. This combination has been proven to improve the accuracy of PET/CT and MRI for staging tumor spread (T and N staging), supporting its use in determining the suitability for less invasive rectal cancer treatments.

This Special Issue aims to collate state-of-the-art studies targeting advancements in colorectal cancer multimodal imaging that can lead to improved diagnostic accuracy and refine colorectal cancer assessment.

Dr. Filippo Crimì
Dr. Chiara Zanon
Guest Editors

Manuscript Submission Information

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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.


  • colorectal cancer
  • artificial intelligence
  • texture analysis
  • ultrasound
  • magnetic resonance imaging

Published Papers

This special issue is now open for submission.
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