Computer-aided detection of small bowel strictures for emergency radiology in CT enterography

  • Authors:

  • Nisha I. Sainani;Janne Näppi;Dushyant V. Sahani;Hiroyuki Yoshida

  • Affiliations:

  • Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts;Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts;Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts;Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts

  • Venue:
  • MICCAI'10 Proceedings of the Second international conference on Virtual Colonoscopy and Abdominal Imaging: computational challenges and clinical opportunities
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Computer-aided detection (CAD) of small bowel strictures can have significant impact in improving the workflow of CT enterography in an emergency setting where even non-expert radiologists could use it to rapidly detect sites of obstruction. A CAD scheme was developed to detect strictures from abdominal CT enterography data by use of multi-scale template matching and a blob detector. A pilot study was performed on 15 patients with 22 surgically confirmed strictures to study the effect of the CAD scheme on observer performance. The 77% sensitivity of an inexperienced radiologist assisted by the CAD scheme was comparable with the 81% sensitivity of an unaided expert radiologist (p=0.07). The use of CAD significantly reduced the reading time to identify strictures (p