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- W2079897000 abstract "The workflow of CT enterography in an emergency setting could be improved significantly by computer-aided detection(CAD) of small bowel strictures to enable even non-expert radiologists to detect sites of obstruction rapidly. Wedeveloped a CAD scheme to detect strictures automatically from abdominal multi-detector CT enterography image databy use of multi-scale template matching and a blob detector method. A pilot study was performed on 15 patients with 22surgically confirmed strictures to study the effect of the CAD scheme on observer performance. The 77% sensitivity ofan inexperienced radiologist assisted by CAD was comparable with the 81% sensitivity of an unaided expert radiologist(p=0.07). The use of CAD reduced the reading time to identify strictures significantly (p<0.0001). Most of the false-positiveCAD detections were caused by collapsed bowel loops, approximated bowel wall, muscles, or vessels, and theywere easy to dismiss. The results indicate that CAD could provide radiologists with a rapid and accurate interpretation ofstrictures to improve workflow in an emergency setting." @default.
- W2079897000 created "2016-06-24" @default.
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- W2079897000 date "2011-03-03" @default.
- W2079897000 modified "2023-09-23" @default.
- W2079897000 title "Computer-aided detection of small bowel strictures in CT enterography" @default.
- W2079897000 doi "https://doi.org/10.1117/12.878232" @default.
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