Tomosynthesis for Improved Breast Cancer Detection

用于改进乳腺癌检测的断层合成

• 批准号: 7248669
• 负责人: JOSEPH Y LO
• 金额: $ 39.82万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-20 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7248669
• 关键词: Tomosynthesis; Improved; Breast; Cancer; Detection

DESCRIPTION (provided by applicant): 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.

描述（由申请人提供）：本研究的目的是研究断层合成乳房X线照相术以提高乳腺癌检测的灵敏度和特异性。通过去除重叠的组织，该系统可以检测模糊的病变并更好地描述病变的 3D 特征。本研究的具体目标是：（1）利用标本和患者图像优化断层合成技术。 (2) 实施断层合成图像和 CAD 输出的软拷贝显示系统，以最大限度地提高放射科医生的生产力和绩效。 (3) 进行前瞻性试点研究，以评估放射科医生在乳腺断层合成方面的表现。 (4) 研究乳腺肿块的 CAD，将其作为乳腺断层合成的一个组成部分。在初步研究中，我们评估了用于断层合成扫描的研究性数字乳房X线摄影系统的物理特性，并优化了断层合成的放射线照相技术。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、乳房切除标本和患者上的可行性。我们开发了新颖的 CAD 算法，用于在乳房 X 光检查中检测乳腺肿块，并将这些经验应用到 3D 断层合成数据中。该提案提出了一个完整的计划来证明物理和临床可行性。成功完成每个目标后，直接的好处将是至关重要的信息，这将促进我们的工业合作伙伴对该乳房断层合成系统的商业转化，以及对其他学术团体和制造商的类似系统的评估。