Defining and Optimizing Critical Interpretation Skills in Screening Mammography to Improve Cancer Detection

定义和优化筛查乳房 X 光检查的关键解释技能，以提高癌症检出率

• 批准号: 10614623
• 负责人: Lonie Salkowski
• 金额: $ 42.21万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10614623
• 关键词: American College of Radiology; Applications Grants; Architecture; Benign; Biopsy; Breast; Breast Cancer Detection; Cancer Detection; Characteristics; Clinic; Clinical; Cognition; Cognitive; Continuing Education; Data; Detection; Development; Discrimination; Education; Educational Psychology; Evaluation; Faculty; Feedback; Fellowship; General Practitioners; Goals; Image; Individual Differences; Intelligence; Judgment; Learning; Legal patent; Lesion; Liquid substance; Machine Learning; Malignant Neoplasms; Mammary Gland Parenchyma; Mammographic screening; Mammography; Measures; Mission; Outcome; Patient Care; Patient-Focused Outcomes; Perception; Performance; Personality Traits; Physicians; Positioning Attribute; Preparation; Psychology; Public Health; Radiology Specialty; Reading; Research; Research Proposals; Residencies; Resources; Risk; Short-Term Memory; Societies; Specialist; Surveys; System; Testing; Time; Time Perception; Training; Training and Education; United States; United States National Institutes of Health; Women' s Health; breast imaging; calcification; computer science; cost; density; experience; high risk; imager; improved; innovation; insight; processing speed; programs; radiologist; screening; simulation; skill acquisition; skills; stem; tool; visual tracking

Project Summary Abstract There is a critical lack of information regarding how radiology residents develop interpretive skills for screening mammography. Consequently, little is known how to avert or correct errors in perception and cognition. The majority of radiology residents have only the required minimum 12 weeks of breast imaging training. Yet, the majority of mammograms in the United States are interpreted by general radiologists, not board-certified breast imagers. The negative impact on patient care by not filling this gap in education is continued missed cancers and unnecessary additional imaging and biopsies. The long-term goal of this project is to reduce interpretive errors in breast imaging for improved patient outcomes by providing objective tools and resources to improve trainee education. The overall objectives of this proposal are to understand cognitive and perceptual skill development in a specialized simulation system by bringing together experts in radiology, computer science, educational psychology, and psychology. In residency there is no opportunity for residents to interpret mammographic studies independently from attending radiologists. Thus, offering no opportunity to ‘practice’ their skills. Our education system needs improvement. This project will implement a specialized simulation system with sequential evaluation of radiology resident performance in screening mammography providing objective measures and feedback to trainees. The central hypothesis of this project is that a systemized simulation screening mammography system within residency training will aid in identifying critical cognitive and perceptual errors that negatively impact patient care and outcomes. This hypothesis will be tested by three specific aims: 1) Use machine learning tools to develop congruent case sets for consecutive simulation sessions. 2) Assess the impact of sequential simulation training and examine predictors of individual differences in learning trajectories, by a) assess interpretive skills of radiology residents and fellows in the breast screening simulation system, b) assess real-time perception skills with eye tracking in simulation sessions, and c) assess the resident’s fundamental cognitive and perceptual abilities as well as personality traits. 3) Assess and quantify the effects of sequential simulation training. This research proposal is innovative, in that it provides sequential opportunities for radiology residents to independently interpret screening mammograms in a specialized simulation system that will obtain information about the development of interpretive and perceptive skills over time during real-world practice. This research proposal is significant because simulation training is effective at taking high-risk stakes skills and putting them in a low risk encounters to assess and improve performance. Improving the preparation of radiology residents to interpret screening mammograms will have far reaching impact on women’s health and overall public health.

项目摘要摘要 关于放射学居民如何发展解释技能的信息严重缺乏信息 筛查乳房X线摄影。因此，知之甚少，如何避免或纠正感知和纠正错误 认识。大多数放射学居民只有所需的至少12周的乳房成像 训练。然而，美国的大多数乳房X线照片是由一般放射学家解释的，而不是 董事会认证的乳房图像。通过不填补教育差距的负面影响是 继续错过的癌症以及不必要的其他成像和活检。该项目的长期目标 是通过提供客观工具来减少乳房成像中的解释性错误，以改善患者的结果 以及改善学员教育的资源。 该提案的总体目标是了解一个认知和感知技能的发展 通过将放射学，计算机科学，教育专家汇集在一起​​，专门的仿真系统 心理学和心理学。在居住中，居民没有机会解释乳房X线摄影 研究独立于参加放射科医生。那，没有机会“实践”他们的技能。我们的 教育系统需要改进。该项目将通过 放射学居民在筛查乳房X线摄影方面的表现的顺序评估提供目标 对学员的措施和反馈。该项目的中心假设是系统化的模拟 筛查诊所训练中的乳房X线摄影系统将有助于确定关键的认知和感知 对患者护理和结果产生负面影响的错误。该假设将通过三个特定目的进行检验： 1）使用机器学习工具为连续的模拟会话开发一致的案例集。 2）评估 顺序模拟训练和检查学习中个体差异的预测指标的影响 轨迹，a）乳房筛查模拟中放射学居民和研究员的评估解释技巧 系统，b）在模拟会议中通过眼动追踪评估实时感知技能，c）评估 居民的基本认知和感知能力以及人格特质。 3）评估和量化 顺序模拟训练的影响。 该研究建议是创新的，因为它为放射学居民提供了顺序的机会 在专门的模拟系统中独立解释乳房X线照片，该系统将获得 关于在现实世界实践中随着时间的推移发展解释性和感知能力的信息。 这项研究建议很重要，因为模拟培训在采取高风险赌注技能和 将它们置于低风险遭遇中，以评估和提高绩效。改善准备 放射学居民解释筛查乳房X线照片将对妇女的健康和 总体公共卫生。