Electronic cleansing for CT colonography: does it help CAD software performance in a high-risk population for colorectal cancer?

Eur Radiol. 2010 Aug;20(8):1905-16. doi: 10.1007/s00330-010-1765-z. Epub 2010 Mar 23.

Abstract

Objective: To compare the performance of computer-aided detection (CAD) for CT colonography (CTC) with and without electronic cleansing (EC) in a high-risk population tagged with a faecal tagging (FT) protocol.

Methods: Thirty-two patients underwent CTC followed by same-day colonoscopy. All patients underwent bowel preparation and FT with barium and gastrografin. Each CTC dataset was processed with colon CAD with and without EC. Per-polyp sensitivity was calculated. The average number of false-positive (FP) results and their causes were also analysed and compared.

Results: Eighty-six polyps were detected in 29 patients. Per-polyp sensitivities of CAD with EC (93.8% and 100%) were higher than those without EC (84.4% and 87.5%) for polyps >or=6 mm and >or=10 mm, respectively. However, the differences were not significant. The average number (6.3) of FPs of CAD with EC was significantly larger than that (3.1) without EC. The distribution of FPs in both CAD settings was also significantly different. The most common cause of FPs was the ileocaecal valve in both datasets. However, untagged faeces was a significantly less common cause of FPs with EC, EC-related artefacts being more common.

Conclusion: Electronic cleansing has the potential to improve per-polyp sensitivity of CTC CAD, although the significantly larger number of FPs with EC remains to be improved.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Colonography, Computed Tomographic / methods*
  • Colorectal Neoplasms / diagnostic imaging*
  • Contrast Media
  • Diatrizoate Meglumine*
  • Feces*
  • Female
  • Humans
  • Male
  • Pattern Recognition, Automated / methods*
  • Radiographic Image Enhancement / methods*
  • Radiographic Image Interpretation, Computer-Assisted / methods
  • Reproducibility of Results
  • Risk Factors
  • Sensitivity and Specificity
  • Subtraction Technique*

Substances

  • Contrast Media
  • Diatrizoate Meglumine