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Follow-up on: optimizing lesion detection in small bowel capsule endoscopy and beyond: from present problems to future solutions

Vasilakakis, Michael ; Koulaouzidis, Anastasios LU ; Yung, Diana E. ; Plevris, John N. ; Toth, Ervin LU and Iakovidis, Dimitris K. (2019) In Expert Review of Gastroenterology and Hepatology 13(2). p.129-141
Abstract

Introduction: This review presents noteworthy advances in clinical and experimental Capsule Endoscopy (CE), focusing on the progress that has been reported over the last 5 years since our previous review on the subject. Areas covered: This study presents the commercially available CE platforms, as well as the advances made in optimizing the diagnostic capabilities of CE. The latter includes recent concept and prototype capsule endoscopes, medical approaches to improve diagnostic yield, and progress in software for enhancing visualization, abnormality detection, and lesion localization. Expert commentary: Currently, moving through the second decade of CE evolution, there are still several open issues and remarkable challenges to... (More)

Introduction: This review presents noteworthy advances in clinical and experimental Capsule Endoscopy (CE), focusing on the progress that has been reported over the last 5 years since our previous review on the subject. Areas covered: This study presents the commercially available CE platforms, as well as the advances made in optimizing the diagnostic capabilities of CE. The latter includes recent concept and prototype capsule endoscopes, medical approaches to improve diagnostic yield, and progress in software for enhancing visualization, abnormality detection, and lesion localization. Expert commentary: Currently, moving through the second decade of CE evolution, there are still several open issues and remarkable challenges to overcome.

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Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
algorithm, Capsule endoscopy, detection, diagnostic yield, endoscopy, engineering, small bowel
in
Expert Review of Gastroenterology and Hepatology
volume
13
issue
2
pages
129 - 141
publisher
Expert Reviews Ltd.
external identifiers
  • scopus:85058142250
  • pmid:30791780
ISSN
1747-4124
DOI
10.1080/17474124.2019.1553616
language
English
LU publication?
yes
id
d078aeeb-2fd0-4ae9-abe4-b5c59e15ee90
date added to LUP
2019-01-02 08:37:36
date last changed
2024-03-02 15:00:52
@article{d078aeeb-2fd0-4ae9-abe4-b5c59e15ee90,
  abstract     = {{<p>Introduction: This review presents noteworthy advances in clinical and experimental Capsule Endoscopy (CE), focusing on the progress that has been reported over the last 5 years since our previous review on the subject. Areas covered: This study presents the commercially available CE platforms, as well as the advances made in optimizing the diagnostic capabilities of CE. The latter includes recent concept and prototype capsule endoscopes, medical approaches to improve diagnostic yield, and progress in software for enhancing visualization, abnormality detection, and lesion localization. Expert commentary: Currently, moving through the second decade of CE evolution, there are still several open issues and remarkable challenges to overcome.</p>}},
  author       = {{Vasilakakis, Michael and Koulaouzidis, Anastasios and Yung, Diana E. and Plevris, John N. and Toth, Ervin and Iakovidis, Dimitris K.}},
  issn         = {{1747-4124}},
  keywords     = {{algorithm; Capsule endoscopy; detection; diagnostic yield; endoscopy; engineering; small bowel}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{129--141}},
  publisher    = {{Expert Reviews Ltd.}},
  series       = {{Expert Review of Gastroenterology and Hepatology}},
  title        = {{Follow-up on: optimizing lesion detection in small bowel capsule endoscopy and beyond: from present problems to future solutions}},
  url          = {{http://dx.doi.org/10.1080/17474124.2019.1553616}},
  doi          = {{10.1080/17474124.2019.1553616}},
  volume       = {{13}},
  year         = {{2019}},
}