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Diagnostics
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Advancements in Colonoscopy 2nd Edition
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Advancements in Colonoscopy 2nd Edition

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Biomedical Optics".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 7182

Special Issue Editors

Prof. Dr. Anastasios Koulaouzidis

E-Mail Website
Guest Editor
1. Department of Medicine, OUH Svendborg Sygehus, Svendborg, Denmark
2. Surgical Research Unit, OUH, Odense, Denmark
3. Department of Clinical Research, University of Southern Denmark (SDU), Odense, Denmark
Interests: capsule endoscopy; gastroenterology; collagenous colitis; microscopic colitis
Special Issues, Collections and Topics in MDPI journals
Dr. Ervin Toth

E-Mail Website
Guest Editor
Department of Gastroenterology, Skåne University Hospital, Lund University, Malmö, Sweden
Interests: diagnostic and therapeutic gastrointestinal endoscopy; colonoscopy; capsule endoscopy; colorectal cancer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Since 2019, we have all lived under a big black cloud, that of the COVID-19 pandemic. Things were quite demanding in the initial phases, with the temporary freeze of elective endoscopic activity and bowel screening programs worldwide. Nevertheless, colorectal cancer (CRC) remains a significant cause of mortality and morbidity that can only decrease by early detection and treatment. To this end, colonoscopy (conventional or not) remains the primary tool and reference standard for colonic examination. Many developments have been happening in this field, even before the pandemic: for example, new and powerful white-light endoscopes with zoom and digital chromoendoscopy capabilities, the likes of which have not been seen before; the emergence of artificial intelligence, which confirms that the human 'gold standard' may be a 'silver' one after all; and, the slow and somewhat reluctant introduction of the wireless endoscopy form of nationwide service in Scotland and England. In this Special Issue, we open a discussion and welcome original articles, reviews, and reports looking into new technologies, emerging service modalities, and ideas on technology adoption and the overall current and future impact of the pandemic on colonoscopy practice.

Prof. Dr. Anastasios Koulaouzidis
Dr. Ervin Toth
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

  • colonoscopy
  • colonic examination
  • colon cancer
  • endoscopes
  • digital chromoendoscopy

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Related Special Issue

Published Papers (3 papers)

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Research

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11 pages, 1345 KiB  
Article
The Utility of Narrow-Band Imaging International Colorectal Endoscopic Classification in Predicting the Histologies of Diminutive Colorectal Polyps Using I-Scan Optical Enhancement: A Prospective Study
by Yeo Wool Kang, Jong Hoon Lee and Jong Yoon Lee
Diagnostics 2023, 13(16), 2720; https://doi.org/10.3390/diagnostics13162720 - 21 Aug 2023
Cited by 1 | Viewed by 2034
Abstract
(1) Background: This study aimed to evaluate the accuracy of predicting the histology of diminutive colonic polyps (DCPs) (≤5 mm) using i-scan optical enhancement (OE) based on the narrow-band imaging international colorectal endoscopic (NICE) classification. The study compared the diagnostic accuracy between experts [...] Read more.
(1) Background: This study aimed to evaluate the accuracy of predicting the histology of diminutive colonic polyps (DCPs) (≤5 mm) using i-scan optical enhancement (OE) based on the narrow-band imaging international colorectal endoscopic (NICE) classification. The study compared the diagnostic accuracy between experts who were already familiar with the NICE classification and trainees who were not, both before and after receiving brief training on the NICE classification. (2) Method: This prospective, single-center clinical trial was conducted at the Dong-A University Hospital from March 2020 to August 2020 and involved two groups of participants. The first group comprised two experienced endoscopists who were proficient in using i-scan OE and had received formal training in optical diagnosis and dye-less chromoendoscopy (DLC) techniques. The second group consisted of three endoscopists in the process of training in internal medicine at the Dong-A University Hospital. Each endoscopist examined the polyps and evaluated them using the NICE classification through i-scan OE. The results were not among the participants. Trained endoscopists were divided into pre- and post-training groups. (3) Results: During the study, a total of 259 DCPs were assessed using i-scan OE by the two expert endoscopists. They made real-time histological predictions according to the NICE classification criteria. For the trainee group, before training, the area under the receiver operating characteristic curves (AUROCs) for predicting histopathological results using i-scan OE were 0.791, 0.775, and 0.818. However, after receiving training, the AUROCs improved to 0.935, 0.949, and 0.963, which were not significantly different from the results achieved by the expert endoscopists. (4) Conclusions: This study highlights the potential of i-scan OE, along with the NICE classification, in predicting the histopathological results of DCPs during colonoscopy. In addition, this study suggests that even an endoscopist without experience in DLC can effectively use i-scan OE to improve diagnostic performance with only brief training. Full article
(This article belongs to the Special Issue Advancements in Colonoscopy 2nd Edition)
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Review

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14 pages, 5853 KiB  
Review
Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening
by Marco Spadaccini, Davide Massimi, Yuichi Mori, Ludovico Alfarone, Alessandro Fugazza, Roberta Maselli, Prateek Sharma, Antonio Facciorusso, Cesare Hassan and Alessandro Repici
Diagnostics 2023, 13(6), 1102; https://doi.org/10.3390/diagnostics13061102 - 14 Mar 2023
Cited by 6 | Viewed by 2970
Abstract
Colorectal cancer (CRC) is the third most common cancer worldwide, with the highest incidence reported in high-income countries. However, because of the slow progression of neoplastic precursors, along with the opportunity for their endoscopic detection and resection, a well-designed endoscopic screening program is [...] Read more.
Colorectal cancer (CRC) is the third most common cancer worldwide, with the highest incidence reported in high-income countries. However, because of the slow progression of neoplastic precursors, along with the opportunity for their endoscopic detection and resection, a well-designed endoscopic screening program is expected to strongly decrease colorectal cancer incidence and mortality. In this regard, quality of colonoscopy has been clearly related with the risk of post-colonoscopy colorectal cancer. Recently, the development of artificial intelligence (AI) applications in the medical field has been growing in interest. Through machine learning processes, and, more recently, deep learning, if a very high numbers of learning samples are available, AI systems may automatically extract specific features from endoscopic images/videos without human intervention, helping the endoscopists in different aspects of their daily practice. The aim of this review is to summarize the current knowledge on AI-aided endoscopy, and to outline its potential role in colorectal cancer prevention. Full article
(This article belongs to the Special Issue Advancements in Colonoscopy 2nd Edition)
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Other

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4 pages, 6274 KiB  
Interesting Images
Endoscopic Ultrasound View of Pneumatosis Cystoides Intestinalis
by Erika Yuki Yvamoto, Spencer Cheng, Guilherme Henrique Peixoto de Oliveira, João Guilherme Ribeiro Jordão Sasso, Mateus Bond Boghossian, Mauricio Kazuyoshi Minata, Igor Braga Ribeiro and Eduardo Guimarães Hourneaux de Moura
Diagnostics 2023, 13(8), 1424; https://doi.org/10.3390/diagnostics13081424 - 15 Apr 2023
Viewed by 1387
Abstract
Pneumatosis cystoid intestinalis (PCI) is a rare condition, with a worldwide incidence of 0.3–1.2%. PCI is classified into primary (idiopathic) and secondary forms, with 15% and 85% of presentations, respectively. This pathology was associated with a wide variety of underlining etiologies to explain [...] Read more.
Pneumatosis cystoid intestinalis (PCI) is a rare condition, with a worldwide incidence of 0.3–1.2%. PCI is classified into primary (idiopathic) and secondary forms, with 15% and 85% of presentations, respectively. This pathology was associated with a wide variety of underlining etiologies to explain the abnormal accumulation of gas within the submucosa (69.9%), subserosa (25.5%), or both layers (4.6%). Many patients endure misdiagnosis, mistreatment, or even inadequate surgical exploration. In this case, a patient presented acute diverticulitis, after treatment, a control colonoscopy was performed that found multiple rounds and elevated lesions. To further study the subepithelial lesion (SEL), a colorectal endoscopic ultrasound (EUS) was performed with an overtube in the same procedure. For safe insertion of the curvilinear array EUS, an overtube with colonoscopy was positioned through the sigmoid as described by Cheng et al. The EUS evaluation evidenced air reverberation in the submucosal layer. The pathological analysis was consistent with PCI’s diagnosis. The diagnosis of PCI is usually made by colonoscopy (51.9%), surgery (40.6%), and radiological findings (10.9%). Although the diagnosis can be made by radiological studies, a colorectal EUS and colonoscopy can be made in the same section without radiation and with high precision. As it is a rare disease, there are not enough studies to define the best approach, although colorectal EUS should be preferred for a reliable diagnosis. Full article
(This article belongs to the Special Issue Advancements in Colonoscopy 2nd Edition)
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