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Diagnostic accuracy of translucency rendering to differentiate polyps from pseudopolyps at 3D endoluminal CT colonography: a feasibility study.

Publication ,  Journal Article
Guerrisi, A; Marin, D; Laghi, A; Di Martino, M; Iafrate, F; Iannaccone, R; Catalano, C; Passariello, R
Published in: Radiol Med
August 2010

PURPOSE: The aim of this study was to assess the accuracy of translucency rendering (TR) in computed tomographic (CT) colonography without cathartic preparation using primary 3D reading. MATERIALS AND METHODS: From 350 patients with 482 endoscopically verified polyps, 50 pathologically proven polyps and 50 pseudopolyps were retrospectively examined. For faecal tagging, all patients ingested 140 ml of orally administered iodinated contrast agent (diatrizoate meglumine and diatrizoate sodium) at meals 48 h prior to CT colonography examination and two h prior to scanning. CT colonography was performed using a 64-section CT scanner. Colonoscopy with segmental unblinding was performed within 2 weeks after CT. Three independent radiologists retrospectively evaluated TRCT clonographic images using a dedicated software package (V3D-Colon System). To enable size-dependent statistical analysis, lesions were stratified into the following size categories: small (< or =5 mm), intermediate (6-9 mm), and large (> or =10 mm). RESULTS: Overall average TR sensitivity for polyp characterisation was 96.6%, and overall average specificity for pseudopolyp characterisation was 91.3%. Overall average diagnostic accuracy (area under the curve) of TR for characterising colonic lesions was 0.97. CONCLUSIONS: TR is an accurate tool that facilitates interpretation of images obtained with a primary 3D analysis, thus enabling easy differentiation of polyps from pseudopolyps.

Duke Scholars

Published In

Radiol Med

DOI

EISSN

1826-6983

Publication Date

August 2010

Volume

115

Issue

5

Start / End Page

758 / 770

Location

Italy

Related Subject Headings

  • Software
  • Sensitivity and Specificity
  • Retrospective Studies
  • Radiographic Image Interpretation, Computer-Assisted
  • Radiographic Image Enhancement
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Imaging, Three-Dimensional
  • Humans
  • Diatrizoate
 

Citation

APA
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MLA
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Guerrisi, A., Marin, D., Laghi, A., Di Martino, M., Iafrate, F., Iannaccone, R., … Passariello, R. (2010). Diagnostic accuracy of translucency rendering to differentiate polyps from pseudopolyps at 3D endoluminal CT colonography: a feasibility study. Radiol Med, 115(5), 758–770. https://doi.org/10.1007/s11547-010-0538-8
Guerrisi, A., D. Marin, A. Laghi, M. Di Martino, F. Iafrate, R. Iannaccone, C. Catalano, and R. Passariello. “Diagnostic accuracy of translucency rendering to differentiate polyps from pseudopolyps at 3D endoluminal CT colonography: a feasibility study.Radiol Med 115, no. 5 (August 2010): 758–70. https://doi.org/10.1007/s11547-010-0538-8.
Guerrisi A, Marin D, Laghi A, Di Martino M, Iafrate F, Iannaccone R, et al. Diagnostic accuracy of translucency rendering to differentiate polyps from pseudopolyps at 3D endoluminal CT colonography: a feasibility study. Radiol Med. 2010 Aug;115(5):758–70.
Guerrisi, A., et al. “Diagnostic accuracy of translucency rendering to differentiate polyps from pseudopolyps at 3D endoluminal CT colonography: a feasibility study.Radiol Med, vol. 115, no. 5, Aug. 2010, pp. 758–70. Pubmed, doi:10.1007/s11547-010-0538-8.
Guerrisi A, Marin D, Laghi A, Di Martino M, Iafrate F, Iannaccone R, Catalano C, Passariello R. Diagnostic accuracy of translucency rendering to differentiate polyps from pseudopolyps at 3D endoluminal CT colonography: a feasibility study. Radiol Med. 2010 Aug;115(5):758–770.
Journal cover image

Published In

Radiol Med

DOI

EISSN

1826-6983

Publication Date

August 2010

Volume

115

Issue

5

Start / End Page

758 / 770

Location

Italy

Related Subject Headings

  • Software
  • Sensitivity and Specificity
  • Retrospective Studies
  • Radiographic Image Interpretation, Computer-Assisted
  • Radiographic Image Enhancement
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Imaging, Three-Dimensional
  • Humans
  • Diatrizoate