Novel Imaging Methods to Determine Breast Density

确定乳房密度的新成像方法

• 批准号: 7615722
• 负责人: JOHN Alan SHEPHERD
• 金额: $ 17万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7615722
• 关键词: 3-Dimensional; Address; Algorithms; Biological; Biopsy; Breast; Breast Cancer Risk Factor; Calibration; Clinical; Coculture Techniques; Coupled; Cultured Cells; Databases; Densitometry; Development; Devices; Digital Mammography; Dimensions; Epithelium; Fatty acid glycerol esters; Fractals; Harvest; High Risk Woman; Histocompatibility Testing; Histology; Image; Imaging Techniques; Investigation; Lead; Magic; Magnetic Resonance; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Mammary Gland Parenchyma; Mammographic Density; Mammography; Mastectomy; Measures; Membrane; Metabolic; Methods; Microtomy; Numbers; Organ; Outcome; Pattern; Phospholipids; Procedures; Punch Biopsy; Research Personnel; Residual state; Resolution; Risk; Risk Estimate; Roentgen Rays; Sampling; Score; Sectioning technique; Slice; Slide; Specimen; Spectrum Analysis; Standards of Weights and Measures; Structure; Sum; Techniques; Thea Plant; Tissue Sample; Tissues; Translations; Uncertainty; Work; attenuation; breast density; cancer risk; cell stroma; cell type; density; in vivo; malignant breast neoplasm; metabolic abnormality assessment; novel; programs; spectroscopic imaging; substantia spongiosa; success; two-dimensional

We propose to develop novel imaging techniques to quantity breast density and breast parenchymal patterns that can be used to further study the linkage of tissue composition and cancer risk. Breast density, as currently defined and measured, is a strong risk factor for breast cancer. The clinical measure of mammographic density is inadequate to study how the composition of breast tissue relates to cancer risk, especially on tissue specimens. We will develop the following: a Dual X-ray Absorptiometry (DXA) technique to quantify breast tissue composition on a clinical digital mammography device and a novel technique to quantify the projected parenchyma pattern using a combination of connectivity (Euler number) and fractal dimensions. These measures will be quantified in whole breast specimens and compared to current clinical measures of breast density (i.e., mammographic density and BI-RADS scores). In addition, we will extend these techniques to their use in thin (5 mm or less) breast tissue sections. Local measures of density and structure will be compared to whole breast measures by sectioning breasts specimens in their entirety and summing the local measures. Lastly, we will study if metabolic profiles measured using magnetic resonance magic angle spectroscopy (MR-MAS) correspond to specific pathological tissue types associated with dense breast (from Project 2) by histology analysis of the same samples. The results of this study may lead to (1) the implementation of new clinical measures of breast composition and risk in clinical mammograms, (2) novel compositional measures of density for thin tissue samples such as biopsy tissue, and (3) the identification of a metabolic signature that is specific to breast tissue type and applicable to new MR spectroscopic imaging techniques for a more sensitive and specific measure of risk.

我们建议开发新颖的成像技术来量化乳腺密度和乳腺实质模式 可用于进一步研究组织成分与癌症风险之间的联系。 根据目前的定义和测量，乳房密度是乳腺癌的一个重要危险因素。临床上 乳房 X 光密度测量不足以研究乳房组织的成分如何与 癌症风险，尤其是组织样本。我们将开发以下产品： 双 X 射线吸收测定法 (DXA) 技术在临床数字乳房 X 线摄影设备上量化乳腺组织成分和一种新颖的 使用连通性组合（欧拉数）来量化投影薄壁组织模式的技术 和分形维数。这些措施将在整个乳房样本中进行量化，并与 目前乳腺密度的临床测量（即乳房 X 光密度和 BI-RADS 评分）。此外，我们 将把这些技术扩展到薄（5毫米或更小）乳腺组织切片中的应用。地方措施 通过将乳房样本切片，将密度和结构与整个乳房测量结果进行比较 全面总结地方措施。最后，我们将研究是否使用磁性测量代谢谱 共振魔角光谱（MR-MAS）对应于相关的特定病理组织类型 通过对相同样本进行组织学分析，获得致密乳腺（来自项目 2）。 这项研究的结果可能导致（1）实施新的乳腺成分临床测量方法 和临床乳房X光检查的风险，(2)薄组织样本密度的新成分测量，例如 活检组织，以及 (3) 鉴定乳腺组织类型特有的代谢特征，以及 适用于新的 MR 光谱成像技术，可以更灵敏、更具体地测量风险。