Abstract
Cathartic bowel preparation is a major barrier in implementing clinically feasible colorectal screening programs. We developed a fully automated computer-aided detection (CAD) scheme for non-cathartic computed tomographic colonography (CTC). In a pilot evaluation with an independent testing set of 46 clinical non-cathartic CTC cases, the CAD scheme detected 100% of large ≥10 mm lesions with 3.7 false-positive (FP) detections per patient and 90% of ≥6 mm lesions with 5.0 FP detections per patient, on average. The results indicate that CAD can detect colorectal lesions with high accuracy in non-cathartic CTC.
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Näppi, J.J., Gryspeerdt, S., Lefere, P., Zalis, M., Yoshida, H. (2012). Automated Detection of Colorectal Lesions in Non-cathartic CT Colonography. In: Yoshida, H., Sakas, G., Linguraru, M.G. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2011. Lecture Notes in Computer Science, vol 7029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28557-8_9
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DOI: https://doi.org/10.1007/978-3-642-28557-8_9
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