Diagnostic accuracy and interobserver agreement of CT colonography (virtual colonoscopy)

Details

Serval ID
serval:BIB_65FB51B6602D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Diagnostic accuracy and interobserver agreement of CT colonography (virtual colonoscopy)
Journal
Gut
Author(s)
Pescatore  P., Glucker  T., Delarive  J., Meuli  R., Pantoflickova  D., Duvoisin  B., Schnyder  P., Blum  A. L., Dorta  G.
ISSN
0017-5749
Publication state
Published
Issued date
07/2000
Peer-reviewed
Oui
Volume
47
Number
1
Pages
126-30
Notes
Clinical Trial
Comparative Study
Controlled Clinical Trial
Journal Article --- Old month value: Jul
Abstract
BACKGROUND AND AIMS: Computed tomographic (CT) colonography or virtual colonoscopy (VC) is a non-invasive imaging method proposed for screening patients with colorectal neoplasias. Our aims were to study the diagnostic accuracy and interobserver agreement of VC for correct patient identification compared with conventional colonoscopy (CC). METHODS: This was a prospective study of 50 patients successively undergoing VC and CC. Multiplanar two dimensional CT images and three dimensional VC were constructed using surface rendering software and interpreted by two independent investigator teams. VC findings were compared with those of CC. Interobserver agreement was determined using kappa statistics. RESULTS: CC found 65 polyps in 24 patients. For identification of patients with polyps > or =10 mm, the sensitivity of VC was 38% and 63%, and specificity was 74% and 74% for teams 1 and team 2. Interobserver agreement was good (kappa 0.72). For patients with polyps of any size, the sensitivity of VC was 75% and 71%, and specificity was 62% and 69% for teams 1 and 2. Interobserver agreement was fair (kappa 0.56). Accuracy improved when comparing the results of the first 24 with the last 26 patients. CONCLUSIONS: In our experience, VC had a low diagnostic value for identification of patients with colorectal neoplasias. Interobserver agreement for VC interpretation was fair. These results may be explained by software imperfections and a learning curve effect.
Keywords
Aged Aged, 80 and over Colonoscopy Colorectal Neoplasms/diagnosis/*radiography False Negative Reactions Female Humans Image Processing, Computer-Assisted/*methods Male Middle Aged Observer Variation Prospective Studies Sensitivity and Specificity Tomography, X-Ray Computed/*methods
Pubmed
Web of science
Open Access
Yes
Create date
11/04/2008 11:40
Last modification date
20/08/2019 14:21
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