Suppr超能文献

眼动追踪评估医学图像解读:比较新手和专家心脏病学家的可行性研究。

Eye-tracking for assessing medical image interpretation: A pilot feasibility study comparing novice vs expert cardiologists.

机构信息

Center for Applied Brain & Cognitive Sciences, Tufts University, Medford, MA, USA.

Division of Cardiovascular Diseases, University of Michigan, Ann Arbor, MI, USA.

出版信息

Perspect Med Educ. 2019 Apr;8(2):65-73. doi: 10.1007/s40037-019-0505-6.

Abstract

INTRODUCTION

As specialized medical professionals such as radiologists, pathologists, and cardiologists gain education and experience, their diagnostic efficiency and accuracy change, and they show altered eye movement patterns during medical image interpretation. Existing research in this area is limited to interpretation of static medical images, such as digitized whole slide biopsies, making it difficult to understand how expertise development might manifest during dynamic image interpretation, such as with angiograms or volumetric scans.

METHODS

A two-group (novice, expert) comparative pilot study examined the feasibility and utility of tracking and interpreting eye movement patterns while cardiologists viewed video-based coronary angiograms. A non-invasive eye tracking system recorded cardiologists' (n = 8) visual behaviour while they viewed and diagnosed a series of eight angiogram videos. Analyses assessed frame-by-frame video navigation behaviour, eye fixation behaviour, and resulting diagnostic decision making.

RESULTS

Relative to novices, expert cardiologists demonstrated shorter and less variable video review times, fewer eye fixations and saccadic eye movements, and less time spent paused on individual video frames. Novices showed repeated eye fixations on critical image frames and regions, though these were not predictive of accurate diagnostic decisions.

DISCUSSION

These preliminary results demonstrate interpretive decision errors among novices, suggesting they identify and process critical diagnostic features, but sometimes fail to accurately interpret those features. Results also showcase the feasibility of tracking and understanding eye movements during video-based coronary angiogram interpretation and suggest that eye tracking may be valuable for informing assessments of competency progression during medical education and training.

摘要

简介

随着放射科医生、病理学家和心脏病学家等专业医学人员获得教育和经验,他们的诊断效率和准确性会发生变化,并且在解读医学影像时会表现出不同的眼球运动模式。该领域的现有研究仅限于对静态医学图像(如数字化全切片活检)的解读,因此很难理解专业知识的发展如何在动态图像解读(如血管造影或容积扫描)中表现出来。

方法

一项具有两组(新手、专家)的对比性试点研究,考察了在心脏病专家观看基于视频的冠状动脉造影时,追踪和解释眼球运动模式的可行性和实用性。一个非侵入性的眼球追踪系统记录了心脏病专家(n=8)在观看和诊断一系列 8 个血管造影视频时的视觉行为。分析评估了逐帧视频导航行为、眼动注视行为以及由此产生的诊断决策。

结果

与新手相比,专家心脏病专家表现出更短且变化更小的视频审查时间、更少的眼动注视和眼跳,以及在单个视频帧上暂停的时间更少。新手在关键图像帧和区域上重复进行眼动注视,但这些注视并不能预测准确的诊断决策。

讨论

这些初步结果表明新手存在解读决策错误,表明他们能够识别和处理关键诊断特征,但有时无法准确解释这些特征。结果还展示了在基于视频的冠状动脉造影解读期间追踪和理解眼球运动的可行性,并表明眼球追踪可能对评估医学教育和培训期间的能力进展有价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f39a/6468026/522fe0f8a8b3/40037_2019_505_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验