title: Computed tomographic colonography: automated tool for polyp measurement delivering on patient risk stratification.
abstract: OBJECTIVE
  We evaluated an automated polyp size measurement tool in computed tomographic colonography for its accuracy and value for patient risk stratification.
  
  
  METHODS
  A simulation program generated a raw data phantom with sessile and pedunculated polyps of known sizes using 120 to 140 kV and 50, 40, 20, 15, and 10 mAs. All polyps were measured by clicking on the polyp surface. Comparison of the calculated size with the known polyp sizes allowed calculation of reproducibility and accuracy. For patients with proven polyps, we also compared automated measurements with manual and endoscopic measurements to evaluate the effect on patient risk stratification.
  
  
  RESULTS
  The automated measurement tool allowed accurate measurements. In the patient study, assignment to the correct size group was not significantly different from the radiologist's results. However, it slightly improved patient risk stratification by reducing both failed and unnecessary colonoscopy referral.
  
  
  CONCLUSIONS
  An automated tool for polyp measurement in patients facilitates patient risk stratification.
authors.affiliation: Department of Radiology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium. didier.bielen@uz.kuleuven.ac.be
authors.forename: Didier
authors.initials: D
authors.lastname: Bielen
authors.forename: Ragna
authors.initials: R
authors.lastname: Vanslembrouck
authors.forename: Frederik
authors.initials: F
authors.lastname: De Keyzer
authors.forename: Hilde
authors.initials: H
authors.lastname: Vandenhout
authors.forename: Lutz
authors.initials: L
authors.lastname: Guendel
authors.forename: Eric
authors.initials: E
authors.lastname: Van Cutsem
authors.forename: Guy
authors.initials: G
authors.lastname: Marchal
mesh_terms: D000328:Adult; D000368:Aged; D003111:Colonic Polyps / Q000175:diagnosis* / Q000000981:diagnostic imaging; D023881:Colonography, Computed Tomographic / Q000379:methods*; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D010045:Outpatients; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods; D012720:Severity of Illness Index; D012984:Software; D012986:Software Validation