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Tomosynthesis for Improved Breast Cancer Detection

用于改进乳腺癌检测的断层合成

基本信息

批准号：
7591041
负责人：
JOSEPH Y LO
金额：
$ 23.59万
依托单位：
DUKE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-06-20 至 2011-04-30
项目状态：
已结题

项目摘要

The purpose of this study is to investigate tomosynthesis mammography to improve the sensitivity and specificity of breast cancer detection. By removing overlapping tissue, this system can allow detection of obscured lesions and permit better 3D characterization of lesions. The specific aims of the proposed study are to: (1) Optimize tomosynthesis technique using specimen and patient images. (2) Implement soft-copy display system for tomosynthesis images and CAD outputs to maximize radiologist productivity and performance. (3) Perform prospective pilot studies to evaluate radiologist performance with breast tomosynthesis. (4) Investigate CAD of breast masses as an integral component of breast tomosynthesis. In preliminary studies, we evaluated the physical characteristics of an investigational digital mammography system modified for tomosynthesis scanning, and optimized the radiographic technique for tomosynthesis. We translated our experience with chest tomosynthesis into mammography, and demonstrated feasibility of our reconstruction algorithm on phantoms, mastectomy specimens, and patients. We developed novel CAD algorithms for the detection of breast masses in mammography, and will parlay that experience into the 3D tomosynthesis data. This proposal presents a complete plan to demonstrate physical and clinical feasibility. Upon the successful completion of each aim, the immediate benefit will be crucial information which will facilitate commercial translation of this breast tomosynthesis system by our industrial partner, as well as the evaluation of similar systems from other academic groups and manufacturers.

本研究的目的是探讨体层摄影术以提高诊断的敏感性。和乳腺癌检测的特异性。通过移除重叠的组织，该系统可以检测模糊的病变，并允许更好地对病变进行3D表征。拟议研究的具体目的是： (1)利用标本和患者图像优化断层合成技术。 (2)实现断层合成图像和CAD输出的软拷贝显示系统，以最大化放射科医生的工作效率和表现。 (3)进行前瞻性的先导性研究，以评估放射科医生在乳房断层合成方面的表现。 (4)研究乳腺肿块的计算机辅助设计作为乳腺断层合成的重要组成部分。在初步研究中，我们评估了调查性数字设备的物理特性改进的乳房X光摄影系统，用于断层合成扫描，并优化了X线片断层合成技术。我们将胸部断层合成的经验转化为乳房X光检查，并证明了我们的重建算法在体模上的可行性，乳房切除标本和病人。我们开发了用于乳房检测的新的CAD算法在乳房X光检查中发现肿块，并将这种体验融入3D断层合成数据中。这项建议提出了一个完整的计划，以证明物理和临床的可行性。在此之前成功完成每个目标，眼前的利益将是至关重要的信息，它将促进我们的工业合作伙伴对这种乳房断层合成系统的商业翻译作为来自其他学术团体和制造商的类似系统的评估。