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Proceedings Paper

Characteristics of false positive findings in CT colonography CAD: a comparison of two fecal tagging regimens
Author(s): Lia Morra; Silvia Delsanto; Silvano Agliozzo; Riccardo Baggio; Erika Belluccio; Loredana Correale; Dario Genova; Alberto Bert; Daniele Regge
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Paper Abstract

The successful application of Computer Aided Detection schemes to CT Colonography depends not only on their performances in terms of sensitivity and specificity, but also on the interaction with the radiologist, and thus ultimately on factors such as the nature of CAD prompts and the reading paradigm. Fecal tagging is emerging as a widely accepted technique for patient preparation, and patient-friendlier schemes are being proposed in an effort to increase compliance to screening programs; the interaction between CAD and FT regimens should likewise be taken into account. In this scenario, an analysis of the characteristics of CAD prompts is of paramount importance in order to guide further research, both from clinical and technical viewpoints. The CAD scheme analyzed in this paper is essentially composed of five steps: electronic cleansing, colon surface extraction, polyp candidate segmentation, pre-filtering of residual tagged stool and classification of the generated candidates in true polyps vs. false alarms. False positives were divided into six categories: untagged and tagged solid stool, haustral folds, extra-colonic candidates, ileocecal valve and cleansing artifacts. A full cathartic preparation was compared with a semi-cathartic regimen with sameday fecal tagging, which is characterized by higher patient acceptance but also higher inhomogeneity. The distribution of false positives at segmentation reflects the quality of preparation, as more inhomogeneous tagging results in a higher number of untagged solid stool and cleansing artifacts.

Paper Details

Date Published: 3 March 2009
PDF: 9 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72602L (3 March 2009); doi: 10.1117/12.811484
Show Author Affiliations
Lia Morra, im3D S.p.A. Medical Imaging Lab. (Italy)
Silvia Delsanto, im3D S.p.A. Medical Imaging Lab. (Italy)
Silvano Agliozzo, im3D S.p.A. Medical Imaging Lab. (Italy)
Riccardo Baggio, im3D S.p.A. Medical Imaging Lab. (Italy)
Erika Belluccio, Politecnico di Torino (Italy)
Loredana Correale, im3D S.p.A. Medical Imaging Lab. (Italy)
Dario Genova, Institute for Cancer Research and Treatment (Italy)
Alberto Bert, im3D S.p.A. Medical Imaging Lab. (Italy)
Daniele Regge, Institute for Cancer Research and Treatment (Italy)

Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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