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首页> 外文会议>Virtual colonoscopy and abdominal imaging : Computational challenges and clinical opportunities >Computer-Aided Detection of Small Bowel Strictures for Emergency Radiology in CT Enterography
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Computer-Aided Detection of Small Bowel Strictures for Emergency Radiology in CT Enterography

机译：CT肠造影中用于紧急放射学的小肠狭窄的计算机辅助检测

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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<0.0001). Most of the false-positive CAD detections were caused by collapsed bowel loops, approximated bowel wall, muscles or vessels, and they were easy to dismiss. The results indicate that CAD can provide radiologists with rapid and accurate interpretations of strictures to improve workflow in an emergency setting.
机译：小肠狭窄的计算机辅助检测（CAD）可以在紧急情况下改善CT小肠造影的工作流程，即使是非专业的放射科医生也可以使用它来快速检测阻塞部位。通过使用多尺度模板匹配和斑点检测器，开发了一种CAD方案以从腹部CT肠造影数据中检测狭窄。对15名22例经手术证实的狭窄的患者进行了一项初步研究，以研究CAD方案对观察者表现的影响。由CAD计划协助的经验不足的放射线医师的77％灵敏度与无经验的放射线专家的81％灵敏度相当（p = 0.07）。 CAD的使用显着减少了识别狭窄的阅读时间（p <0.0001）。大多数假阳性CAD检测是由肠collapse塌陷，肠壁近似，肌肉或血管引起的，很容易消除。结果表明，CAD可以为放射科医生提供对狭窄的快速，准确的解释，以改善紧急情况下的工作流程。

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