Abdominal Imaging

, Volume 32, Issue 5, pp 582–588

Multidetector CT colonoscopy: evaluation of the perspective-filet view virtual colon dissection technique for the detection of elevated lesions

  • Patricia Carrascosa
  • Carlos Capuñay
  • Elba Martín López
  • Marina Ulla
  • Roberto Castiglioni
  • Jorge Carrascosa
Article

DOI: 10.1007/s00261-006-9169-x

Cite this article as:
Carrascosa, P., Capuñay, C., Martín López, E. et al. Abdom Imaging (2007) 32: 582. doi:10.1007/s00261-006-9169-x

Abstract

Background

The purpose of our study was to determine the usefulness of a virtual computed tomography colon dissection visualization technique for the detection of polypoid lesions in comparison with conventional virtual colonoscopy analysis and optical colonoscopy.

Methods

Twenty-three patients were evaluated with optical colonoscopy and computed tomography colonoscopy using 16-row MDCT on the same day. CT images were analyzed by the colon dissection workup with unfolded haustra visualization and also using the conventional virtual colonoscopy technique (axial images and endoluminal views). The CT analysis was performed by an experienced radiologist using both viewing methods in a randomized order and blinded to optical colonoscopy results.

Results

Optical colonoscopy revealed 35 colonic lesions; 15 < 5 mm, 18 between 5–9 mm and 2 > 9 mm. For conventional virtual colonoscopy analysis the overall sensitivity was 86.67%; for the colon dissection visualization technique, the overall sensitivity was 82.86%. The average reading time for conventional virtual colonoscopy was 15 ± 3 vs. 8 ± 2 min for the colon dissection visualization technique.

Conclusions

Our results showed that there is a significant reduction in the reading time using the colon dissection visualization technique without detriment to the detection rate, that is, competitive to conventional virtual colonoscopy interpretation results.

Keywords

Computed tomography Multidetector computed tomography Colon polyps Virtual colonoscopy Image processing Colonoscopy 

Copyright information

© Springer Science+Business Media, LLC 2006

Authors and Affiliations

  • Patricia Carrascosa
    • 1
  • Carlos Capuñay
    • 1
  • Elba Martín López
    • 1
  • Marina Ulla
    • 1
  • Roberto Castiglioni
    • 1
  • Jorge Carrascosa
    • 1
  1. 1.Department of Computed TomographyDiagnóstico Maipú.Buenos AiresArgentina

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