Improving the softcopy reading of mammograms using CAD

使用 CAD 改进乳房 X 光照片的软拷贝读取

• 批准号: 6671208
• 负责人: ROBERT M NISHIKAWA
• 金额: $ 14.49万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-06-01 至 2005-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6671208
• 关键词: bioimaging /biomedical imaging; cancer information system; clinical research; computer assisted diagnosis; digital imaging; health care personnel performance; human data; image processing; mammography; method development

DESCRIPTION (provided by applicant): As in all other areas of radiology, mammography will become filmless. Full-field digital mammography (FFDM) is necessary for this to happen. There are additional advantages to wide clinical implementation of FFDM. Most important is the possibility of improving the accuracy of mammography through the development of advance techniques such as tomosynthesis and computer-aided diagnosis (CAD). One of the major roadblocks to FFDM is the reluctance of radiologists to employ softcopy reading, principally because the current generation of mammography workstations is cumbersome to use. We believe that softcopy will eventually allow radiologists to become more efficient and thereby more productive. The long-term goal of our research is to improve the utility of softcopy reading so as to facilitate the wide clinical use of full-field digital mammography. The goal of this project is to show that by using a computer-aided detection scheme, radiologists do not have to zoom the image to search for microcalcifications. Our hypothesis is that by employing CAD that radiologists will take less time to read an image on softcopy and that this can be done without a decrease in performance. To test this hypothesis, we will compare two reading conditions: (1) zoom without computer aid, and (2) no zooming with aid available. The specific aims are: 1. Collect 365 cases of mammograms: 275 normal, 70 with a malignant cluster of calcifications, and 20 with a malignant mass or distortion or asymmetry. 2. Modify an existing high-resolution workstation to mimic a clinical mammography workstation. 3. Conduct an observer study to test hypothesis. We believe that FFDM and related technologies have the potential to greatly improve the accuracy of mammography by reducing the miss rate and reducing the callback rate and the benign biopsy rate. Improving the softcopy display is one step to realizing this potential.

描述(由申请人提供)： 就像在放射学的所有其他领域一样，乳房X光检查将变得没有胶片。要做到这一点，全视野数字乳房X光摄影(FFDM)是必要的。在临床上广泛应用FFDM还有其他优势。最重要的是，通过断层合成和计算机辅助诊断(CAD)等先进技术的发展，有可能提高乳房X光检查的准确性。FFDM的主要障碍之一是放射科医生不愿使用软拷贝阅读，主要是因为当前一代的乳房X光摄影工作站使用起来很麻烦。我们相信，软件复制最终将使放射科医生变得更有效率，从而提高生产力。我们研究的长期目标是提高软拷贝阅读的实用性，以促进全视野数字乳腺摄影的广泛临床应用。这个项目的目标是证明，通过使用计算机辅助检测方案，放射科医生不必缩放图像来搜索微钙化。我们的假设是，通过使用计算机辅助设计，放射科医生将花费更少的时间来读取软拷贝上的图像，并且这可以在不降低性能的情况下完成。为了验证这一假设，我们将比较两种阅读条件：(1)在没有电脑辅助的情况下进行缩放，以及(2)在没有辅助的情况下进行缩放。具体目标是： 1.收集乳腺X线片365例，其中正常275例，恶性钙化70例，恶性肿块或变形、不对称20例。2.修改现有的高分辨率工作站，以模拟临床乳房X光摄影工作站。3.进行观察者研究以检验假设。我们相信，通过减少漏诊率、降低回调率和良性活检率，FFDM和相关技术有可能极大地提高乳房X光检查的准确性。改善软拷贝显示是实现这一潜力的一步。