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Cancers
Special Issues
Magnetic Resonance Imaging (MRI) in Colorectal Cancer
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Magnetic Resonance Imaging (MRI) in Colorectal Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".

Deadline for manuscript submissions: closed (22 April 2024) | Viewed by 1078

Special Issue Editors

Prof. Dr. Søren Rafaelsen

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Guest Editor
Head of Radiological Research Unit, Department of Radiology, Clinical Cancer Centre, University Hospital of Southern Denmark, Vejle, Denmark
Interests: colorectal cancer; MRI; DWI; ultrasound; translational cancer research
Prof. Dr. Torben Frøstrup Hansen

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Guest Editor
Head of Oncological Research Unit, Department of Oncology, Clinical Cancer Centre, University Hospital of Southern Denmark, Vejle, Denmark
Interests: translational and clinical cancer research; angiogenesis; circulating tumor DNA; immunotherapy
Special Issues, Collections and Topics in MDPI journals
Dr. Malene Roland Vils Pedersen

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Guest Editor
Radiological Research Unit, Department of Radiology, Clinical Cancer Centre, University Hospital of Southern Denmark, Vejle, Denmark
Interests: cancer diagnosis; imaging; ultrasound; MRI; radiography

Special Issue Information

Dear Colleagues,

In the past two–three decades, we have seen increasing improvement in the staging and treatment of colorectal cancer (CRC). MRI is being used to a greater extent in staging rectal cancer and the detection of liver metastases; additionally, MRI is often an important element in multidisciplinary CRC meetings. As MRI technologies continue to develop, it is important that new MRI technologies and their uses are carefully evaluated.

This Special Issue, will cover all aspects of MRI of CRC, including developments in knowledge of the roles of advanced MRI techniques such as diffusion weighted imaging, whole-body MRI, positron emission tomography–magnetic resonance imaging (PET-MRI), artificial intelligence, MRI staging, and liver MRI in CRC, as well as uses of MRI in evaluations of neoadjuvant therapy responses.

We look forward to receiving your contributions. 

Best wishes,

Prof. Dr. Søren Rafaelsen
Prof. Dr. Torben Frøstrup Hansen
Dr. Malene Roland Vils Pedersen
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. Cancers 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 2900 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

  • colorectal cancer
  • MRI
  • diffusion weighted MRI
  • CT
  • ultrasound
  • elastography
  • AI

Published Papers (1 paper)

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Research

10 pages, 1727 KiB  
Article
Diffusion-Weighted MRI as a Quantitative Imaging Biomarker in Colon Tumors
by Peter Obel Otto, Martina Kastrup Loft, Søren Rafael Rafaelsen and Malene Roland Vils Pedersen
Cancers 2024, 16(1), 144; https://doi.org/10.3390/cancers16010144 - 27 Dec 2023
Viewed by 747
Abstract
Purpose: To assess the use of quantitative diffusion-weighted MRI (DW-MRI) as a diagnostic imaging biomarker in differentiating between benign colon adenoma, early, and advanced cancer of the colon, as well as predicting lymph node involvement, and finally comparing mucinous-producing colon cancer with adenomas [...] Read more.
Purpose: To assess the use of quantitative diffusion-weighted MRI (DW-MRI) as a diagnostic imaging biomarker in differentiating between benign colon adenoma, early, and advanced cancer of the colon, as well as predicting lymph node involvement, and finally comparing mucinous-producing colon cancer with adenomas and non-mucinous colon cancer. Method: Patients with a confirmed tumor on colonoscopy were eligible for inclusion in this study. Using a 3.0 Tesla MRI machine, the main tumor mean apparent diffusion coefficient (mADC) was obtained. Surgically resected tumor specimens served as an endpoint, except in mucinous colon cancers, which were classified based on T2 images. Results: A total of 152 patients were included in the study population. The mean age was 71 years. A statistically significant mADC mean difference of −282 × 10−6 mm2/s [−419–−144 95% CI, p < 0.001] was found between colon adenomas and early colon cancer, with an AUC of 0.80 [0.68–0.93 95% CI] and an optimal cut off value of 1018 × 10−6 mm2/s. Only a small statistically significant difference (p = 0.039) in mADC was found between benign tumors and mucinous colon cancer. We found no statistical difference in mADC mean values between early and advanced colon cancer, and between colon cancer with and without lymph node involvement. Conclusion: Quantitative DW-MRI is potentially useful for determining whether a colonic tumor is benign or malignant. Mucinous colon cancer shows less diffusion restriction when compared to non-mucinous colon cancer, a potential pitfall. Full article
(This article belongs to the Special Issue Magnetic Resonance Imaging (MRI) in Colorectal Cancer)
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