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评估在虚拟乳房造影中对经验丰富和新手搜索者的搜索满意度

Stephen H Adamo¹, Nelson Roque¹, Bruno Barufaldi²

¹University of Central Florida, Orlando, Florida, United States.

Journal of medical imaging (Bellingham, Wash.)

|July 24, 2023

概括

搜索满意度 (SOS) 导致乳房影像中错过的病变. 读者经验会影响类似异常的检测,影响诊断的准确性.

科学领域:

放射学和医学成像学医学成像学
人类因素在医学中的作用
医疗保健中的人工智能

背景情况:

搜索满意度 (SOS) 是一种认知现象,观察者在检测到初始目标后错过后续目标.
了解SOS对于提高医学成像,特别是乳房图像的诊断准确性至关重要.
虚拟临床试验提供了一个可控的环境来研究复杂的搜索行为.

研究的目的:

调查搜索满意度 (SOS) 对虚拟乳房影像中乳腺病变检测的影响.
确定损伤相似性如何影响经验丰富和新手搜索者的检测率.
评估读者体验对SOS率和病变检测性能的影响.

主要方法:

利用开放的虚拟临床试验框架创建模拟质量和化的患者乳腺模型.
招募了经验丰富的 (放射科医生,研究员,住院医生) 和新手 (本科生) 寻找者,以确定每张图像最多两种病变.
采用混合因素差异分析 (ANOVA) 来分析基于病变特征和经验水平的病变命中率和反应时间.

主要成果:

经验丰富和新手搜索者都表现出显著的SOS错误,表明错过的病变.
损伤相似性对经验丰富的搜索者影响最小,但新手更有可能错过不相似的第二次损伤.
搜索者在识别相似的第二病变时比不相似的病变更快,无论经验如何.

结论:

在虚拟乳房镜中,SOS是错过病变的重要贡献者.
读者体验调节了病变相似性对检测准确性的影响.
研究结果表明,经验影响搜索策略和认可,为SOS的机制提供了洞察力.

关键词:

注意力模板注意力模板乳房成像检查乳房成像检查搜索的满意度搜索的满意度随后的搜索错过了错误.视觉搜索视觉搜索视觉搜索

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