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基于模拟评估的放射科住院医师在检测基底动脉闭塞方面的能力。

Radiology resident competency in detecting basilar artery occlusion: a simulation-based assessment.

机构信息

Department of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA.

College of Medicine, University of Florida, PO Box 100243, Gainesville, FL, 32610, USA.

出版信息

Emerg Radiol. 2024 Feb;31(1):1-6. doi: 10.1007/s10140-023-02189-8. Epub 2023 Nov 23.

Abstract

PURPOSE

Basilar artery strokes are rare but can have characteristic imaging findings that can often be overlooked. This retrospective study aims to assess radiology residents' ability to identify CT imaging findings of basilar artery occlusion in a simulated call environment.

METHODS

The Wisdom in Diagnostic Imaging Emergent/Critical Care Radiology Simulation (WIDI SIM)-a tested and reliable computer-aided emergency imaging simulation-was employed to assess resident readiness for independent radiology call. The simulations include 65 cases of varying complexity, including normal studies, with one case specifically assessing basilar artery stroke. Residents were presented with a single, unique case of basilar artery occlusion in two separate years of testing and were only provided with non-contrast CT images. Residents' free text responses were manually scored by faculty members using a standardized grading rubric, with errors subsequently classified by type.

RESULTS

A total of 454 radiology residents were tested in two separate years on the imaging findings of basilar artery occlusion using the Wisdom in Diagnostic Imaging simulation web-based testing platform. Basilar artery occlusion was consistently underdiagnosed by radiology residents being tested for call readiness irrespective of the numbers of years in training. On average, only 14% of radiology residents were able to correctly identify basilar artery occlusion on non-contrast CT.

CONCLUSIONS

Our findings underscore a potential gap in radiology residency training related to the detection of basilar artery occlusion, highlighting the potential need for increased educational efforts in this area.

摘要

目的

基底动脉卒中很少见,但具有特征性的影像学表现,这些表现往往容易被忽视。本回顾性研究旨在评估放射科住院医师在模拟呼叫环境中识别基底动脉闭塞 CT 影像学表现的能力。

方法

采用经过测试和可靠的计算机辅助急诊影像模拟(WIDI SIM)——智慧影像诊断即时/重症放射学模拟系统,评估住院医师独立进行放射科值班的准备情况。模拟包括 65 个不同复杂程度的病例,包括正常研究,其中一个病例专门评估基底动脉卒中。在两年的测试中,住院医师分别在两次测试中仅收到一份基底动脉闭塞的单一、独特病例,并仅提供非对比 CT 图像。住院医师的自由文本回复由教员使用标准化评分表手动评分,随后根据类型对错误进行分类。

结果

共有 454 名放射科住院医师在两年内使用智慧影像诊断模拟网络测试平台接受了基底动脉闭塞影像学表现的测试。基底动脉闭塞在为呼叫准备而接受测试的放射科住院医师中始终被漏诊,无论培训年限长短。平均而言,只有 14%的放射科住院医师能够在非对比 CT 上正确识别基底动脉闭塞。

结论

我们的研究结果强调了放射科住院医师培训中可能存在与基底动脉闭塞检测相关的差距,突出了在这一领域增加教育努力的潜在需求。

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