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医学影像中感知能力的个体差异:范德比尔特胸部X光片测试

Individual differences in perceptual abilities in medical imaging: the Vanderbilt Chest Radiograph Test.

作者信息

Sunday Mackenzie A, Donnelly Edwin, Gauthier Isabel

机构信息

Department of Psychology, Vanderbilt University, 226 Wilson Hall, Nashville, TN 37204 USA.

Department of Radiology and Radiological Sciences, Vanderbilt, USA.

出版信息

Cogn Res Princ Implic. 2017;2(1):36. doi: 10.1186/s41235-017-0073-4. Epub 2017 Sep 20.

Abstract

Radiologists make many important decisions when detecting nodules on chest radiographs. While training can result in high levels of performance of this task, there could be individual differences in relevant perceptual abilities that are present pre-training. A pre-requisite to address this question is a valid and reliable measure of such abilities. The present work introduces a new measure, the Vanderbilt Chest Radiograph Test (VCRT), which aims to quantify individual differences in perceptual abilities for radiograph-related decision-making in novices. We validate the relevance of the test to diagnostic imaging by verifying radiologists' superior performance on the test compared to novices'. The final VCRT version produces scores with acceptable internal consistency. Then, we investigate how the VCRT can be used in future research by evaluating how the test relates to extant measures of face and object recognition ability. We find that the VCRT shares a small but significant portion of its variance with a measure of novel object recognition, suggesting that some aspect of VCRT performance is driven by a domain-general visual ability.

摘要

放射科医生在胸部X光片上检测结节时会做出许多重要决策。虽然培训可以使这项任务表现出较高水平,但在培训前,相关感知能力可能存在个体差异。解决这个问题的一个先决条件是对这些能力进行有效且可靠的测量。目前的研究引入了一种新的测量方法——范德比尔特胸部X光片测试(VCRT),旨在量化新手在X光片相关决策中感知能力的个体差异。通过验证放射科医生在该测试中比新手表现更优,我们证实了该测试与诊断成像的相关性。最终的VCRT版本产生的分数具有可接受的内部一致性。然后,我们通过评估该测试与现有的面部和物体识别能力测量方法之间的关系,研究VCRT在未来研究中的应用方式。我们发现,VCRT与一种新物体识别测量方法有一小部分但显著的方差共享,这表明VCRT表现的某些方面是由一种通用视觉能力驱动的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ce/6091272/21d3b673243e/41235_2017_73_Fig1_HTML.jpg

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