Provenzale James M, Kranz Peter G
Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
Emerg Radiol. 2011 Oct;18(5):403-8. doi: 10.1007/s10140-011-0974-3. Epub 2011 Jul 24.
Errors in image interpretation are a common problem in diagnostic radiology. Although many published articles provide trainees with the means to correctly interpret imaging studies, they do not provide a framework for understanding why and how errors occur. In this article, we propose a classification system that allows categorization of errors, which we hope can serve as a basis for peer review, self-education, and quality improvement programs. Our scheme incorporates elements of a classification system proposed by previous authors but also includes novel categories. In this article, we show the usefulness of our scheme by applying it to a specific, and particularly problematic, diagnosis in emergency radiology, namely that of dural sinus thrombosis.
影像解读错误是诊断放射学中的常见问题。尽管许多已发表的文章为实习生提供了正确解读影像学检查的方法，但它们并未提供一个框架来理解错误为何发生以及如何发生。在本文中，我们提出了一种分类系统，该系统能够对错误进行分类，我们希望它能作为同行评审、自我教育和质量改进计划的基础。我们的方案纳入了先前作者提出的分类系统的要素，但也包括了新的类别。在本文中，我们通过将该方案应用于急诊放射学中一个特定的、特别棘手的诊断，即硬脑膜窦血栓形成的诊断，来展示其有用性。
