title: Live image processing does not increase adenoma detection rate during colonoscopy: a randomized comparison between FICE and conventional imaging (Berlin Colonoscopy Project 5, BECOP-5).
abstract: OBJECTIVE
  Fujinon intelligent chromoendoscopy (FICE) is a post-processing imaging technique for increasing contrast of mucosa and mucosal lesions that might lead to improvement in colonic adenoma detection during colonoscopy. Previous studies on similar contrast-enhancing techniques as well as on dye staining have yielded variable and conflicting results. This large randomized trial was undertaken to determine whether FICE technology enhances adenoma detection rate (ADR).
  
  
  METHODS
  In a prospective study performed in a multicenter private practice and hospital setting, involving 8 examiners with substantial lifetime experience (>10,000 colonoscopies each), 1,318 patients (men 46.7%, women 53.3%; mean age 59.05 years) were randomly assigned to colonoscopy with either FICE or white light imaging on instrument withdrawal. Of the colonoscopies, 68% were screening and 32% were diagnostic examinations. The primary outcome measure was the ADR (i.e., number of adenomas/total number of patients).
  
  
  RESULTS
  There was no difference between the two groups in terms of general ADR (0.28 in both groups), the total number of adenomas (184 vs. 183), or detection of subgroups of adenomas. The rate of identification of hyperplastic polyps was also the same in both groups (127 vs. 121; P=0.67). The results were the same for both the screening and the diagnostic colonoscopy subgroups. Withdrawal time was the same in both groups (8.4 vs. 8.3 min, P=0.55).
  
  
  CONCLUSIONS
  This large randomized trial could not show any objective advantage of the FICE technique over conventional high-resolution endoscopy in terms of improved ADR.
authors.affiliation: University Hospital Hamburg-Eppendorf, Hamburg, Germany.
authors.forename: Alireza
authors.initials: A
authors.lastname: Aminalai
authors.forename: Thomas
authors.initials: T
authors.lastname: Rösch
authors.forename: Jens
authors.initials: J
authors.lastname: Aschenbeck
authors.forename: Michael
authors.initials: M
authors.lastname: Mayr
authors.forename: Rolf
authors.initials: R
authors.lastname: Drossel
authors.forename: Andreas
authors.initials: A
authors.lastname: Schröder
authors.forename: Matthias
authors.initials: M
authors.lastname: Scheel
authors.forename: Doris
authors.initials: D
authors.lastname: Treytnar
authors.forename: Ulrich
authors.initials: U
authors.lastname: Gauger
authors.forename: Gabriela
authors.initials: G
authors.lastname: Stange
authors.forename: Frank
authors.initials: F
authors.lastname: Simon
authors.forename: Andreas
authors.initials: A
authors.lastname: Adler
mesh_terms: D000236:Adenoma / Q000473:pathology*; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016009:Chi-Square Distribution; D003110:Colonic Neoplasms / Q000473:pathology*; D003113:Colonoscopy / Q000379:methods*; D055088:Early Detection of Cancer; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D018709:Statistics, Nonparametric