title: Detection of lesions during capsule endoscopy: physician performance is disappointing.
abstract: OBJECTIVE
  Limited data guide capsule endoscopists on how to view the many images collected in each capsule. The objective of this study was to compare the detection rates of clinically significant findings in different capsule endoscopy reading modes and speeds.
  
  
  METHODS
  Seventeen capsule endoscopists with experience from 23 to > 1,000 total capsule procedures read 24 clips, 18 of which were abnormal. Clips were read in two different reading modes utilizing two speeds, including SingleView at 15 at frames per second (f.p.s.), SingleView 25 f.p.s., QuadView 20 f.p.s., and QuadView 30 f.p.s. The main outcome measurements were pathology detection rates correlated with reading mode, lesion type, reader experience, and timing order.
  
  
  RESULTS
  SingleView 15, QuadView 20, and QuadView 30 had no significant difference in overall detection rate (45, 47, and 43%, respectively). SingleView 25 had a 26% detection rate, which was significantly lower than SingleView 15 (P = 0.04) and QuadView 20 (P = 0.002). The detection rates of angioectasias, ulcers/erosions, masses/polyps, and blood were 69, 38, 46, and 17%, respectively. Reader experience and timing of interpretation did not significantly impact detection rate.
  
  
  CONCLUSIONS
  Pathology was present on a few frames. Limited modes and speeds were assessed. Lesion types were not confirmed with surgical or deep enteroscopic methods. A relatively small number of readers provided interpretations.
  
  
  CONCLUSIONS
  Overall, the detection rates in this study are lower than previously reported and not influenced by increasing experience. Detection rates are significantly higher when reading in SingleView 15 and QuadView 20 compared with reading in SingleView 25. Increasing viewing speed from QuadView 20 to QuadView 30 appears to have no significant effect on detection. Quality control measures to compare and improve lesion detection rates need further study.
authors.affiliation: University of Maryland School of Medicine, Baltimore, Maryland 21201, USA.
authors.forename: YuanPu
authors.initials: Y
authors.lastname: Zheng
authors.forename: Lauren
authors.initials: L
authors.lastname: Hawkins
authors.forename: Jordan
authors.initials: J
authors.lastname: Wolff
authors.forename: Olga
authors.initials: O
authors.lastname: Goloubeva
authors.forename: Eric
authors.initials: E
authors.lastname: Goldberg
mesh_terms: D053704:Capsule Endoscopy; D002983:Clinical Competence; D003951:Diagnostic Errors / Q000706:statistics & numerical data*; D005767:Gastrointestinal Diseases / Q000175:diagnosis*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007421:Intestine, Small; D016014:Linear Models; D015588:Observer Variation