Published August 2010 | Version v1
Journal article

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

  • 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-z

Additional 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