Colonkapselendoskopi

Thomas Bjørsum-Meyer; Benedicte Schelde-Olesen; Anastasios Koulouzidis; Esmaeil S. Nadimi; Gunnar Baatrup

Colonkapselendoskopi

Translated title of the contribution: Colon capsuleendoscopy

Thomas Bjørsum-Meyer^*, Benedicte Schelde-Olesen, Anastasios Koulouzidis, Esmaeil S. Nadimi, Gunnar Baatrup

^*Corresponding author for this work

Pomeranian Medical University

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

Colon capsule endoscopy (CCE) was introduced in 2006 as a novel way to visualise the colonic mucosa. Initially, CCE validity was limited by low completion rates (CR) and poor image quality. Through technical progress and improved bowel preparations, CCE now offers an adjunct to diagnostic colonoscopy. As referred in this review, several studies have shown promising results regarding polyp detection rates by the use of CCE. Improvements in CR and quality of bowel preparation are needed for CCE to be on a par with conventional colonoscopy. Research in artificial intelligence is evolving to aid in diagnostics and staging using CCE.

Translated title of the contribution	Colon capsuleendoscopy
Original language	Danish
Journal	Ugeskrift for Læger
Volume	184
Issue number	5
ISSN	0041-5782
Publication status	Published - 2022

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Open Access VersionFinal published version, 239 KBLicence: CC BY-NC-ND

https://ugeskriftet.dk/videnskab/colonkapselendoskopiLicence: CC BY-NC-ND

Cite this

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title = "Colonkapselendoskopi",

abstract = "Colon capsule endoscopy (CCE) was introduced in 2006 as a novel way to visualise the colonic mucosa. Initially, CCE validity was limited by low completion rates (CR) and poor image quality. Through technical progress and improved bowel preparations, CCE now offers an adjunct to diagnostic colonoscopy. As referred in this review, several studies have shown promising results regarding polyp detection rates by the use of CCE. Improvements in CR and quality of bowel preparation are needed for CCE to be on a par with conventional colonoscopy. Research in artificial intelligence is evolving to aid in diagnostics and staging using CCE.",

author = "Thomas Bj{\o}rsum-Meyer and Benedicte Schelde-Olesen and Anastasios Koulouzidis and {S. Nadimi}, Esmaeil and Gunnar Baatrup",

year = "2022",

language = "Dansk",

volume = "184",

journal = "Ugeskrift for L{\ae}ger",

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publisher = "Almindelige Danske Laegeforening",

number = "5",

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TY - JOUR

T1 - Colonkapselendoskopi

AU - Bjørsum-Meyer, Thomas

AU - Schelde-Olesen, Benedicte

AU - Koulouzidis, Anastasios

AU - S. Nadimi, Esmaeil

AU - Baatrup, Gunnar

PY - 2022

Y1 - 2022

N2 - Colon capsule endoscopy (CCE) was introduced in 2006 as a novel way to visualise the colonic mucosa. Initially, CCE validity was limited by low completion rates (CR) and poor image quality. Through technical progress and improved bowel preparations, CCE now offers an adjunct to diagnostic colonoscopy. As referred in this review, several studies have shown promising results regarding polyp detection rates by the use of CCE. Improvements in CR and quality of bowel preparation are needed for CCE to be on a par with conventional colonoscopy. Research in artificial intelligence is evolving to aid in diagnostics and staging using CCE.

AB - Colon capsule endoscopy (CCE) was introduced in 2006 as a novel way to visualise the colonic mucosa. Initially, CCE validity was limited by low completion rates (CR) and poor image quality. Through technical progress and improved bowel preparations, CCE now offers an adjunct to diagnostic colonoscopy. As referred in this review, several studies have shown promising results regarding polyp detection rates by the use of CCE. Improvements in CR and quality of bowel preparation are needed for CCE to be on a par with conventional colonoscopy. Research in artificial intelligence is evolving to aid in diagnostics and staging using CCE.

M3 - Tidsskriftartikel

SN - 0041-5782

VL - 184

JO - Ugeskrift for Læger

JF - Ugeskrift for Læger

IS - 5

ER -

Colonkapselendoskopi

Abstract

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