Novel developments in endoscopic mucosal imaging

Fons van der Sommen, Wouter L. Curvers, Wouter B. Nagengast

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
53 Downloads (Pure)

Abstract

Endoscopic techniques such as high-definition and optical-chromoendoscopy have had enormous impact on endoscopy practice. Since these techniques allow assessment of most subtle morphological mucosal abnormalities, further improvements in endoscopic practice lay in increasing the detection efficacy of endoscopists. Several new developments could assist in this. First, web based training tools could improve the skills of the endoscopist for enhancing the detection and classification of lesions. Secondly, incorporation of computer aided detection will be the next step to raise endoscopic quality of the captured data. These systems will aid the endoscopist in interpreting the increasing amount of visual information in endoscopic images providing real-time objective second reading. In addition, developments in the field of molecular imaging open opportunities to add functional imaging data, visualizing biological parameters, of the gastrointestinal tract to white-light morphology imaging. For the successful implementation of abovementioned techniques, a true multi-disciplinary approach is of vital importance.

Original languageEnglish
Pages (from-to)1876-1886
Number of pages11
JournalGastroenterology
Volume154
Issue number7
DOIs
Publication statusPublished - 1 May 2018

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Molecular Imaging
Endoscopy
Gastrointestinal Tract
Reading
Light
Data Accuracy

Keywords

  • Computer Aided Detection
  • Endoscopy
  • Molecular Imaging

Cite this

van der Sommen, Fons ; Curvers, Wouter L. ; Nagengast, Wouter B. / Novel developments in endoscopic mucosal imaging. In: Gastroenterology. 2018 ; Vol. 154, No. 7. pp. 1876-1886.
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Novel developments in endoscopic mucosal imaging. / van der Sommen, Fons; Curvers, Wouter L.; Nagengast, Wouter B.

In: Gastroenterology, Vol. 154, No. 7, 01.05.2018, p. 1876-1886.

Research output: Contribution to journalArticleAcademicpeer-review

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