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

基本信息

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
项目类别：
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&apos 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

项目摘要

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.

项目概要摘要关于放射科住院医师如何培养放射学解释技能的信息严重缺乏筛查乳房X光检查，很少有人知道如何避免或纠正感知和错误。大多数放射科住院医师仅进行了至少 12 周的乳腺影像检查。然而，在美国，大多数乳房 X 光检查都是由普通放射科医生解释的，而不是由放射科医生解释的。委员会认证的乳房成像仪不填补这一教育空白对患者护理产生负面影响。持续漏诊癌症和不必要的额外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腺成像的解释错误，从而改善患者的治疗结果和资源来改善学员教育。该提案的总体目标是了解认知和知觉技能的发展汇集了放射学、计算机科学、教育学专家的专业模拟系统在住院医师实习期间，住院医师没有机会解释乳房X光检查。因此，我们没有机会“练习”他们的技能。教育系统需要改进。该项目将实施专门的模拟系统。对放射科住院医师在筛查乳房 X 线摄影中的表现进行连续评估，提供客观的结果该项目的中心假设是系统化模拟。住院医师培训中的筛查乳房X光检查系统将有助于识别关键的认知和知觉对患者护理和结果产生负面影响的错误将通过三个具体目标进行检验： 1) 使用机器学习工具为连续模拟会话开发一致的案例集。顺序模拟训练的影响并检查学习个体差异的预测因素轨迹，通过 a) 评估放射科住院医师和研究员在乳腺筛查模拟中的解释能力系统，b) 在模拟会话中通过眼动追踪评估实时感知技能，以及 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。顺序模拟训练的效果。这项研究提案具有创新性，因为它为放射科住院医师提供了连续的机会在专门的模拟系统中独立解释筛查乳房X光照片，该系统将获得有关在现实世界实践中随着时间的推移解释和感知技能发展的信息。这项研究提案意义重大，因为模拟训练对于掌握高风险风险技能和让他们处于低风险的遭遇中，以评估和提高绩效。放射科医生解释筛查乳房X光检查将对妇女的健康和健康产生深远的影响整体公共卫生。