Computed Tomography Colonography: Feasibility of Computer-Aided Polyp Detection in a "First Reader" Paradigm

Aravind Mani, Sandy Napel, David S. Paik, R. Brooke Jeffrey, Judy Yee, Eric W. Olcott, Rupert Prokesch, Marta Davila, Pamela Schraedley-Desmond, Christopher F. Beaulieu

Research output: Contribution to journalArticlepeer-review

58 Scopus citations


Objective: To determine the feasibility of a computer-aided detection (CAD) algorithm as the "first reader" in computed tomography colonography (CTC). Methods: In phase 1 of a 2-part blind trial, we measured the performance of 3 radiologists reading 41 CTC studies without CAD. In phase 2, readers interpreted the same cases using a CAD list of 30 potential polyps. Results: Unassisted readers detected, on average, 63% of polyps ≥ 10 mm in diameter. Using CAD, the sensitivity was 74% (not statistically different). Per-patient analysis showed a trend toward increased sensitivity for polyps ≥10 mm in diameter, from 73% to 90% with CAD (not significant) without decreasing specificity. Computer-aided detection significantly decreased interobserver variability (P = 0.017). Average time to detection of the first polyp decreased significantly with CAD, whereas total reading case reading time was unchanged. Conclusion: Computer-aided detection as a first reader in CTC was associated with similar per-polyp and per-patient detection sensitivity to unassisted reading. Computer-aided detection decreased interobserver variability and reduced the time required to detect the first polyp.

Original languageEnglish (US)
Pages (from-to)318-326
Number of pages9
JournalJournal of computer assisted tomography
Issue number3
StatePublished - 2004
Externally publishedYes


  • Colon
  • Computed tomography colonography
  • Computer-aided diagnosis
  • Interpretation accuracy
  • Interpretation efficiency
  • Polyps
  • Virtual colonoscopy

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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