Electronic cleansing for CT colonography: does it help CAD software performance in a high-risk population for colorectal cancer?
Creators
- 1. Seoul National University College of Medicine, Department of Radiology, Jongno-gu, Seoul (Korea, Republic of)
- 2. Seoul National University Hospital, Institute of Radiation Medicine, Seoul (Korea, Republic of)
- 3. Seoul National University Hospital, Department of Internal Medicine, Seoul (Korea, Republic of)
Description
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. 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. 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 ≥6 mm and ≥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. 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. (orig.)
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00330-010-1765-zAdditional details
Identifiers
Publishing Information
- Journal Title
- European Radiology
- Journal Volume
- 20
- Journal Issue
- 8
- Journal Page Range
- p. 1905-1916
- ISSN
- 0938-7994
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 41091237
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- COMPUTER-AIDED DESIGN; COMPUTERIZED TOMOGRAPHY; HUMAN POPULATIONS; LARGE INTESTINE; SENSITIVITY
- Descriptors DEC
- BODY; DESIGN; DIAGNOSTIC TECHNIQUES; DIGESTIVE SYSTEM; GASTROINTESTINAL TRACT; INTESTINES; ORGANS; POPULATIONS; TOMOGRAPHY