Abstract
OBJECTIVE. The purpose of our study was to evaluate two current automatic polyp detection systems to determine their sensitivity and false-positive rate in patients who have undergone CT colonography and subsequent endoscopy. MATERIALS AND METHODS. We evaluated two polyp detection systems - Polyp Enhanced Viewing (PEV) and the Summers computer-aided detection (CAD) system (National Institutes of Health [NIH]) using a unique cohort of CT colonography examinations: 31 examinations with true-positive lesions identified by radiologists and 34 examinations with false-positive lesions incorrectly identified by radiologists. All patients had reference-standard colonoscopy within 7 days of CT. Candidate lesions were compared with the endoscopic reference standard and prospective radiologist interpretation. The sensitivity and false-positive rates were calculated for each system. RESULTS. The NIH system had a higher sensitivity than the PEV tool for polyps ≥ 1 cm (22/23, 96%; 78-99%, 95% CI vs 14/23, 61%; 38-81%, 95% CI; p = 0.008, respectively). There was no significant difference in the detection of medium-sized polyps 6-9 mm in size (8/13 vs 6/13, p = 0.68, respectively). The PEV tool had an average of 1.18 false-positive detections per patient, whereas the NIH tool had an average of 5.20 false-positive detections per patient, with the PEV tool having significantly fewer false-positive detections in both patient groups (p < 0.001). CONCLUSION. One polyp detection system tended to operate with a higher sensitivity, whereas the other tended to operate with a lower false-positive rate. Prospective trials using polyp detection systems as a primary or secondary means of CT colonography interpretation appear warranted.
Original language | English (US) |
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Pages (from-to) | 277-282 |
Number of pages | 6 |
Journal | American Journal of Roentgenology |
Volume | 189 |
Issue number | 2 |
DOIs | |
State | Published - Aug 2007 |
Keywords
- CT colonography
- Computer-aided detection
- Polyp detection
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging