Using CAD As A Surrogate Reader In Observer Studies

在观察者研究中使用 CAD 作为替代阅读器

• 批准号: 7140503
• 负责人: ROBERT M NISHIKAWA
• 金额: $ 18.74万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-30 至 2007-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7140503
• 关键词: bioimaging /biomedical imaging; biomedical automation; breast neoplasms; calcification; clinical research; computer assisted diagnosis; computer assisted medical decision making; computer assisted patient care; computer system design /evaluation; data collection methodology /evaluation; diagnosis quality /standard; health economics; image processing; mammography; radiography

DESCRIPTION (provided by applicant): The goal of much research in medical imaging is to improve the diagnosis made by a radiologist. This means that new techniques and new imaging systems that are developed must prove that they can improve radiologists' ability to render an accurate diagnosis. Observer studies are useful because provide evidence as to the clinical effectiveness of a technique. However, observer studies are difficult to perform, because they are time consuming, and they are expensive to conduct. We are proposing a novel approach of using a computer-aided diagnosis (CAD) scheme to replace the human observer. That is, we believe that we can modify CAD schemes so that, at least for some tasks, they can perform like human observers. In this way, observer studies can be performed using a computer instead of a group of radiologists, saving time, money, and effort. The goal of this project is to use different training conditions to create a set of CAD schemes for the characterization of breast calcifications on mammograms. Then to select a subset of these to create a set of CAD-observers that has similar performance to a group of radiologists. The specific aims are: 1. Assemble database and perform observer study; 2. Develop superset of CAD-observers; 3. Select a set of CAD-observers to match radiologists; and 4. Validate CAD-observers. If we are successful, many new developments in medical imaging can be tested more accurately, easily, and quickly saving many months and many dollars in development time and costs. This should reduce the cost and the time it takes new technologies or techniques to gain clinical acceptance.

描述（由申请人提供）： 医学成像领域的许多研究的目标是改善放射科医生的诊断。这意味着开发的新技术和新成像系统必须证明它们可以提高放射科医生做出准确诊断的能力。观察者研究很有用，因为它提供了技术临床有效性的证据。然而，观察者研究很难进行，因为它们既耗时又昂贵。 我们提出了一种使用计算机辅助诊断（CAD）方案来取代人类观察者的新方法。也就是说，我们相信我们可以修改 CAD 方案，以便至少对于某些任务，它们可以像人类观察者一样执行。通过这种方式，观察者研究可以使用计算机而不是一组放射科医生来进行，从而节省时间、金钱和精力。 该项目的目标是使用不同的训练条件创建一套 CAD 方案，用于表征乳房 X 光照片上的乳房钙化。然后选择其中的一个子集来创建一组 CAD 观察员，其性能与一组放射科医生相似。具体目标是： 1. 建立数据库并进行观察研究； 2. 开发CAD观察者超集； 3. 选择一组 CAD 观察员来匹配放射科医生；和 4. 验证 CAD 观察者。 如果我们成功了，那么医学成像领域的许多新发展就可以更准确、更轻松、更快速地进行测试，从而节省数月和大量美元的开发时间和成本。这应该会降低新技术或工艺获得临床认可所需的成本和时间。