Endoscopy 2017; 49(12): 1219-1228
DOI: 10.1055/s-0043-113441
Original article
© Georg Thieme Verlag KG Stuttgart · New York

Systematic assessment with I-SCAN magnification endoscopy and acetic acid improves dysplasia detection in patients with Barrett’s esophagus

Gideon Lipman
1   Division of Surgery and Interventional Science, University College London, United Kingdom
2   Department of Gastroenterology, University College Hospital NHS Foundation Trust, London, United Kingdom
,
Raf Bisschops
3   Universitaire Ziekenhuizen Leuven, Leuven, Belgium
,
Vinay Sehgal
1   Division of Surgery and Interventional Science, University College London, United Kingdom
2   Department of Gastroenterology, University College Hospital NHS Foundation Trust, London, United Kingdom
,
Jacobo Ortiz-Fernández-Sordo
4   NIHR Nottingham Digestive Diseases Biomedical Research Unit, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
,
Rami Sweis
2   Department of Gastroenterology, University College Hospital NHS Foundation Trust, London, United Kingdom
,
Jose M. Esteban
5   Hospital Clínico San Carlos, Madrid, Spain
,
Rifat Hamoudi
1   Division of Surgery and Interventional Science, University College London, United Kingdom
6   Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
,
Matthew R. Banks
1   Division of Surgery and Interventional Science, University College London, United Kingdom
2   Department of Gastroenterology, University College Hospital NHS Foundation Trust, London, United Kingdom
,
Krish Ragunath
4   NIHR Nottingham Digestive Diseases Biomedical Research Unit, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
,
Laurence B. Lovat
1   Division of Surgery and Interventional Science, University College London, United Kingdom
2   Department of Gastroenterology, University College Hospital NHS Foundation Trust, London, United Kingdom
,
Rehan J. Haidry
1   Division of Surgery and Interventional Science, University College London, United Kingdom
2   Department of Gastroenterology, University College Hospital NHS Foundation Trust, London, United Kingdom
› Author Affiliations
Further Information

Publication History

submitted 29 November 2017

accepted after revision 21 May 2017

Publication Date:
21 July 2017 (online)

Abstract

Background and study aims Enhanced endoscopic imaging with chromoendoscopy may improve dysplasia recognition in patients undergoing assessment of Barrett’s esophagus (BE). This may reduce the need for random biopsies to detect more dysplasia. The aim of this study was to assess the effect of magnification endoscopy with I-SCAN (Pentax, Tokyo, Japan) and acetic acid (ACA) on dysplasia detection in BE using a novel mucosal and vascular classification system.

Methods BE segments and suspicious lesions were recorded with high definition white-light and magnification endoscopy enhanced using all I-SCAN modes in combination. We created a novel mucosal and vascular classification system based on similar previously validated classifications for narrow-band imaging (NBI). A total of 27 videos were rated before and after ACA application. Following validation, a further 20 patients had their full endoscopies recorded and analyzed to model use of the system to detect dysplasia in a routine clinical scenario.

Results The accuracy of the I-SCAN classification system for BE dysplasia improved with I-SCAN magnification from 69 % to 79 % post-ACA (P = 0.01). In the routine clinical scenario model in 20 new patients, accuracy of dysplasia detection increased from 76 % using a “pull-through” alone to 83 % when ACA and magnification endoscopy were combined (P = 0.047). Overall interobserver agreement between experts for dysplasia detection was substantial (0.69).

Conclusions A new I-SCAN classification system for BE was validated against similar systems for NBI with similar outcomes. When used in combination with magnification and ACA, the classification detected BE dysplasia in clinical practice with good accuracy.

Trials registered at ISRCTN (58235785).

 
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