Narrow-band imaging versus white light for the detection of proximal colon serrated lesions: a randomized, controlled trial

Gastrointest Endosc. 2016 Jan;83(1):166-71. doi: 10.1016/j.gie.2015.03.1915. Epub 2015 May 5.


Background: The value of narrow-band imaging (NBI) for detecting serrated lesions is unknown.

Objective: To assess NBI for the detection of proximal colon serrated lesions.

Design: Randomized, controlled trial.

Setting: Two academic hospital outpatient units.

Patients: Eight hundred outpatients 50 years of age and older with intact colons undergoing routine screening, surveillance, or diagnostic examinations.

Interventions: Randomization to colon inspection in NBI versus white-light colonoscopy.

Main outcome measurements: The number of serrated lesions (sessile serrated polyps plus hyperplastic polyps) proximal to the sigmoid colon.

Results: The mean inspection times for the whole colon and proximal colon were the same for the NBI and white-light groups. There were 204 proximal colon lesions in the NBI group and 158 in the white light group (P = .085). Detection of conventional adenomas was comparable in the 2 groups.

Limitations: Lack of blinding, endoscopic estimation of polyp location.

Conclusion: NBI may increase the detection of proximal colon serrated lesions, but the result in this trial did not reach significance. Additional study of this issue is warranted. (

Clinical trial registration number: NCT01572428.).

Publication types

  • Comparative Study
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenoma / diagnosis
  • Adenoma / pathology*
  • Colon / pathology*
  • Colon, Ascending / pathology
  • Colon, Descending / pathology
  • Colon, Transverse / pathology
  • Colonic Neoplasms / diagnosis
  • Colonic Neoplasms / pathology*
  • Colonic Polyps / diagnosis
  • Colonic Polyps / pathology*
  • Colonoscopy / methods*
  • Early Detection of Cancer
  • Female
  • Humans
  • Male
  • Middle Aged
  • Narrow Band Imaging / methods*

Associated data