The Role of Colonoscopy in the Diagnosis of Colorectal Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".

Deadline for manuscript submissions: 22 November 2024 | Viewed by 825

Special Issue Editor


E-Mail Website
Guest Editor
Medical School, Democritus University of Thrace, Komotini, Greece
Interests: cancers

Special Issue Information

Dear Colleagues,

Colorectal cancer (CRC) represents one of the most common causes of cancer mortality globally, with an increased proportion of newly diagnosed cases. Thus far, colonoscopy remains a valuable tool for the early detection of CRC and the removal of premalignant lesions. Indeed, this procedure significantly contributes to reducing cancer-related morbidity and mortality by detecting CRC at early stages and preventing any delayed treatment. Since CRC remains a preventable disease, effective screening methods, particularly colonoscopy, are highly recommended. Such screening strategies may help lower the risk of developing colorectal carcinomas in young or older adults. Risk stratification for CRC screening appears to be a significant step towards establishing a timely diagnosis and substantially improving patient outcomes. Interestingly, colonoscopy can contribute to the early detection of CRC by preventing the adenoma–carcinoma sequence and other eventually premalignant conditions, including inflammatory bowel diseases, such as ulcerative colitis and Crohn’s disease. Currently, great attention is being paid to post-colonoscopy CRC and its potential causal factors. This Special Issue aims to highlight the role of colonoscopy in CRC prevention and diagnosis at an early stage, even among patients with premalignant conditions. Factors associated with an increased risk of developing post-colonoscopy CRC require further research. In this Special Issue, original research articles and review papers are welcome. We look forward to receiving your contributions.

Prof. Dr. Constantinos E. Simopoulos
Guest Editor

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

  • colonoscopy
  • colorectal cancer (CRC)
  • colorectal polyps
  • ulcerative colitis
  • Crohn’s disease
  • post-colonoscopy colorectal cancer
  • colorectal cancer screening
  • risk stratification
  • young patients
  • elderly patients

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

20 pages, 4005 KiB  
Article
Pathological Insights: Enhanced Vision Transformers for the Early Detection of Colorectal Cancer
by Gelan Ayana, Hika Barki and Se-woon Choe
Cancers 2024, 16(7), 1441; https://0-doi-org.brum.beds.ac.uk/10.3390/cancers16071441 - 8 Apr 2024
Viewed by 715
Abstract
Endoscopic pathological findings of the gastrointestinal tract are crucial for the early diagnosis of colorectal cancer (CRC). Previous deep learning works, aimed at improving CRC detection performance and reducing subjective analysis errors, are limited to polyp segmentation. Pathological findings were not considered and [...] Read more.
Endoscopic pathological findings of the gastrointestinal tract are crucial for the early diagnosis of colorectal cancer (CRC). Previous deep learning works, aimed at improving CRC detection performance and reducing subjective analysis errors, are limited to polyp segmentation. Pathological findings were not considered and only convolutional neural networks (CNNs), which are not able to handle global image feature information, were utilized. This work introduces a novel vision transformer (ViT)-based approach for early CRC detection. The core components of the proposed approach are ViTCol, a boosted vision transformer for classifying endoscopic pathological findings, and PUTS, a vision transformer-based model for polyp segmentation. Results demonstrate the superiority of this vision transformer-based CRC detection method over existing CNN and vision transformer models. ViTCol exhibited an outstanding performance in classifying pathological findings, with an area under the receiver operating curve (AUC) value of 0.9999 ± 0.001 on the Kvasir dataset. PUTS provided outstanding results in segmenting polyp images, with mean intersection over union (mIoU) of 0.8673 and 0.9092 on the Kvasir-SEG and CVC-Clinic datasets, respectively. This work underscores the value of spatial transformers in localizing input images, which can seamlessly integrate into the main vision transformer network, enhancing the automated identification of critical image features for early CRC detection. Full article
(This article belongs to the Special Issue The Role of Colonoscopy in the Diagnosis of Colorectal Cancer)
Show Figures

Figure 1

Back to TopTop