Cognitive Science to Radiology: Using EEG and Eye-tracking to Determine Why, How, and When Novices and Radiologists Miss Signs of Breast Cancer in Multiple-abnormality Mammography and Tomosynthesis

从认知科学到放射学:使用脑电图和眼动追踪来确定新手和放射科医生在多异常乳房 X 线摄影和断层合成中错过乳腺癌迹象的原因、方式和时间

基本信息

  • 批准号:
    10687151
  • 负责人:
  • 金额:
    $ 12.53万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-01 至 2024-08-30
  • 项目状态:
    已结题

项目摘要

Satisfaction of Search (SOS), where an abnormality is missed after a previous abnormality was found, is a pervasive problem across different types of images, yet their impact on breast cancer detection is un- known. Radiology and cognitive science have independently investigated why, how, and when SOS oc- curs. The objectives of this grant are to bridge cognitive science research techniques with radiology to de- termine: 1) the neural underpinnings of SOS, 2) the extent to which SOS affects breast cancer detection, 3) the extent to which advancements in imaging technology alleviates SOS, and 4) how expertise affects SOS error rates. My central hypothesis is SOS contributes to breast cancer misses because a found ab- normality becomes an attentional template. An attentional template is known in cognitive science as an enhanced representation of a target maintained within memory and biases attention in search. The ra- tionale for this project is when a first target is detected, it becomes an attentional template that utilizes and biases attention necessary for detecting subsequent targets making searchers prone to SOS. However, SOS may be mitigated: 1) by changing search strategies to counteract a first target becoming an atten- tional template, 2) with advances in imaging technology, and 3) with expertise in breast cancer detection. These influences need to be investigated to determine the extent to which they can alleviate SOS. This work will pursue four specific aims to test the central hypothesis: 1) identify a mechanistic account for SOS, 2) determine the extent to which SOS accounts for breast cancer misses, 3) compare SOS between mammography and tomosynthesis, and 4) compare SOS error rates between different levels of expertise. The research proposed is innovative because it will: 1) identify a mechanism responsible for SOS; 2) use EEG and eye-tracking to study the neural basis of SOS; 3) use realistic, virtual breast images to investi- gate the extent to which SOS affects breast cancer detection; 4) determine the extent to which the SOS results from simplified search displays replicate in realistic-looking medical images; 5) be the first time SOS is investigated with 3D imaging; and 6) determine the extent to which SOS rates vary by expertise in breast cancer detection. The proposed research is significant because: 1) it will develop a neural under- standing of how SOS contributes to cancer detection; 2) determine how SOS varies across different search modalities and by expertise; and 3) ultimately improve breast cancer detection by determining how these influences impact SOS rates. To complete the proposed research, in pursuit of his long-term goal of becoming an independent researcher at a Tier-I institution, the PI will train using EEG and eye-tracking. His training will include auditing graduate courses, attending workshops, weekly meetings/training with his mentors, and bi-annual assessments of his EEG/eye-tracking expertise with his mentors.
检索满意度(SOS),即在发现先前异常后遗漏异常,是一种 在不同类型的图像中普遍存在的问题,但它们对乳腺癌检测的影响是不确定的。 知道的放射学和认知科学已经独立地研究了SOS发生的原因、方式和时间, 混蛋该补助金的目标是将认知科学研究技术与放射学联系起来, 结论:1)SOS的神经基础,2)SOS影响乳腺癌检测的程度, 3)成像技术的进步在多大程度上增强了SOS,以及4)专业知识如何影响 SOS错误率。我的中心假设是SOS有助于乳腺癌的错过,因为一个发现的抗体- 常态变成了注意力的模板注意力模板在认知科学中被称为 增强了记忆中目标的表征,并使搜索时的注意力产生偏差。那个... 对于这个项目来说,当第一个目标被检测到时,它就变成了一个注意力模板, 对后续目标的检测所需的注意力产生偏差,使搜索者倾向于SOS。然而,在这方面, SOS可以被减轻:1)通过改变搜索策略来抵消第一目标成为攻击目标, 标准模板,2)成像技术的进步,以及3)乳腺癌检测的专业知识。 需要对这些影响进行调查,以确定它们能够在多大程度上缓解SOS。这 工作将追求四个具体目标,以测试中心假设:1)确定一个机械的帐户, SOS,2)确定SOS占乳腺癌漏诊的程度,3)比较SOS与 乳房X线摄影和断层合成,以及4)比较不同专业水平之间的SOS错误率。 这项研究是创新的,因为它将:1)确定一个负责SOS的机制; 2)使用 EEG和眼动跟踪研究SOS的神经基础; 3)使用逼真的虚拟乳房图像来研究SOS的神经基础。 门SOS影响乳腺癌检测的程度; 4)确定SOS影响乳腺癌检测的程度。 来自简化搜索显示的结果在逼真的医学图像中复制; 5)首次 使用3D成像研究SOS;以及6)确定SOS率随以下专业知识而变化的程度: 乳腺癌检测。这项研究之所以重要,是因为:1)它将发展一种神经下- SOS如何有助于癌症检测; 2)确定SOS如何在不同的 搜索模式和专业知识;和3)通过确定如何最终提高乳腺癌检测 这些影响影响SOS率。完成拟议的研究,以追求他的长期目标, 成为一级机构的独立研究员,PI将使用EEG和眼动跟踪进行培训。 他的培训将包括旁听研究生课程,参加研讨会,每周与他的同事开会/培训。 导师,并与他的导师对他的EEG/眼动跟踪专业知识进行半年一次的评估。

项目成果

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Stephen Adamo其他文献

Stephen Adamo的其他文献

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{{ truncateString('Stephen Adamo', 18)}}的其他基金

Cognitive Science to Radiology: Using EEG and Eye-tracking to Determine Why, How, and When Novices and Radiologists Miss Signs of Breast Cancer in Multiple-abnormality Mammography and Tomosynthesis
从认知科学到放射学:使用脑电图和眼动追踪来确定新手和放射科医生在多异常乳房 X 线摄影和断层合成中错过乳腺癌迹象的原因、方式和时间
  • 批准号:
    10525777
  • 财政年份:
    2022
  • 资助金额:
    $ 12.53万
  • 项目类别:

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