Kirkham Jared R, Blackmore C Craig
Department of Radiology, Harborview Medical Center, University of Washington, WA 98104, USA.
Emerg Radiol. 2007 Sep;14(4):211-7. doi: 10.1007/s10140-007-0636-7. Epub 2007 Jul 6.
The purpose of this study was to evaluate the effectiveness and efficiency of a chest radiograph-based detection algorithm for aortic injury and to determine if a previously developed clinical prediction rule would improve imaging efficiency. A 3-year single institution retrospective case-control study with 25 cases of aortic injury and 181 controls was conducted. The detection algorithm correctly identified 96% of all cases of aortic injury, and a definitive diagnosis was established within 6h for 80% of the patients. However, its efficiency was marginal, with only one in 400 chest X-rays leading to a positive diagnosis. The previously developed clinical prediction rule was not able to stratify patients into a clinically useful range of injury probability, and thus the prediction rule cannot be used to improve the efficiency of the existing detection algorithm.
本研究的目的是评估基于胸部X线片的主动脉损伤检测算法的有效性和效率，并确定先前开发的临床预测规则是否会提高成像效率。进行了一项为期3年的单机构回顾性病例对照研究，纳入25例主动脉损伤病例和181例对照。该检测算法正确识别了96%的主动脉损伤病例，80%的患者在6小时内确诊。然而，其效率有限，每400例胸部X线片中只有1例呈阳性诊断。先前开发的临床预测规则无法将患者分层到临床有用的损伤概率范围内，因此该预测规则不能用于提高现有检测算法的效率。
