title: Virtual colonoscopy with magnetic resonance imaging: in vitro evaluation of a new concept.
abstract: OBJECTIVE
  Screening for colonic polyps is desirable. A new concept based on cross-sectional and endoscopic analysis of a magnetic resonance (MR) data set is presented.
  
  
  METHODS
  Ex vivo autopsy colonic specimens, containing artificially placed polyps, were obtained and filled with a gadolinium-containing solution. Forty-four thin-section MR images were obtained in a 1.5-T MR scanner in 28 seconds. A three-dimensional endoscopic fly-through of these images was rendered. Fly-throughs and two-dimensional cross-sectional images were analyzed by two observers for the presence of polyps.
  
  
  RESULTS
  The average sensitivity and specificity for the detection of polyps based on three-dimensional endoscopic MR colon imaging were 87% and 96%, respectively. Analysis of cross-sectional images showed an overall sensitivity and specificity of merely 57% and 84%, respectively. The difference in the interpretation of three-dimensional MR colonoscopy and two-dimensional cross-sections was statistically significant (P < 0.001). With three-dimensional MR colonoscopy, overall sensitivity for detection of polyps measuring < or =5 mm in length and diameter was 70%; for larger polyps, it increased to 95% (P < 0.01).
  
  
  CONCLUSIONS
  The feasibility of an MR-based endoluminal assessment of the colon is shown. Minimal invasiveness, lack of radiation exposure, and high in vitro diagnostic accuracy warrant further investigation of this novel concept.
authors.affiliation: Department of Medical Radiology, University Hospital Zürich, Switzerland.
authors.forename: A W
authors.initials: AW
authors.lastname: Schoenenberger
authors.forename: P
authors.initials: P
authors.lastname: Bauerfeind
authors.forename: G P
authors.initials: GP
authors.lastname: Krestin
authors.forename: J F
authors.initials: JF
authors.lastname: Debatin
mesh_terms: D003111:Colonic Polyps / Q000473:pathology*; D003113:Colonoscopy; D006801:Humans; D007091:Image Processing, Computer-Assisted; D066298:In Vitro Techniques; D008279:Magnetic Resonance Imaging