Combined Breast Tomosynthesis and Near Infrared Spectroscopy for Cancer Detection

乳腺断层合成和近红外光谱相结合用于癌症检测

• 批准号: 9015769
• 负责人: Kelly Michaelsen
• 金额: $ 0.73万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-03-22 至 2016-06-12
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9015769
• 关键词: Advanced Development; Applications Grants; Biological; Breast; Breast Cancer Detection; Cancer Detection; Characteristics; Clinical; Clinical Research; Computer software; Data; Diagnosis; Digital Breast Tomosynthesis; Disease; Doctor of Philosophy; Doctor' s Degree; Fellowship; Funding; Future; Goals; Health; Hemoglobin; Histopathology; Image; Imaging Techniques; Individual National Research Service Award; Institution; Knowledge; Lesion; Link; Lipids; Malignant - descriptor; Malignant Neoplasms; Mammary Gland Parenchyma; Measurement; Metabolic; Metabolism; Methods; Modality; Monitor; NIH Program Announcements; Nature; Near-Infrared Spectroscopy; Normal tissue morphology; Optics; Pathologic; Pathology; Patient Participation; Patients; Performance; Predictive Value; Property; Recovery; Resolution; Roentgen Rays; Scanning; Screening for cancer; System; Tissues; Water; breast imaging; contrast imaging; cost; density; design; experience; imaging system; improved; insight; interest; malignant breast neoplasm; microscopic imaging; novel; optical imaging; pre-doctoral; tomography

DESCRIPTION (provided by applicant): This grant application responds to Program Announcement Number PA-11-110 (Ruth L. Kirschstein National Research Service Awards for Individual Predoctoral MD/PhD and Other Dual Doctoral Degree Fellows) by proposing a study on the differences in optical signatures between healthy and malignant breast tissue using a combined Near Infrared (NIR) spectral tomography (NIRST) and digital breast tomosynthesis (DBT) system. This is a single exam platform that synergistically combines the functional parameters obtained through NIRST with the high-resolution three-dimensional structural information available from DBT for breast cancer surveillance. This study aims to examine and eliminate several potential barriers to clinical implementation and subject participation as well a optimize system performance for detection of cancer. Through clinical exams of both healthy and diseased breasts, this project will examine relationships between optical scattering parameters, X-ray density and other DBT characteristics with the goal of estimating optical scattering from the DBT, eliminating the need for optical hardware for scattering measurements. Optical phantoms will independently verify contrast recovery linearity and scatter estimation. The study will analyze the effects of breast compression levels during the NIRST/DBT exam on optical tissue signatures in both healthy and diseased subjects, by performing combined scans at two compression levels. Determination of optical contrast levels between a region of interest (ROI) and background will be characterized for each subject at each compression level and DBT images at each level will also be compared. The focus of this part of the study is to identify what compression level can most accurately identify lesions and evaluate the necessity of full compression exams. Furthermore, comparisons between pathologic results and NIRST/DBT images of subjects with disease will be performed in order to further understand the biological origins of the optical property measurements. By the end of the proposed funding period, we expect to have developed an increased knowledge of the nature of tissue scattering, the effects of breast compression and the underlying histopathology of breast cancer that creates image contrast. These advances will direct optimization of the hardware and software components of NIRST/DBT system to increase the likelihood of significantly improved ROC characteristics and positive predictive value of a combined system compared to DBT alone while simultaneously minimizing system cost and complexity.

描述(由申请人提供)：这项资助申请回应了PA-11-110号计划(Ruth L.Kirschstein国家研究服务奖授予个人博士前医学博士/博士学位和其他双博士学位研究员)，建议使用组合的近红外(NIRST)光谱断层扫描(NIRST)和数字乳房断层扫描(DBT)系统对健康和恶性乳腺组织之间的光学特征差异进行研究。这是一个单一的检查平台，将通过NIRST获得的功能参数与DBT提供的高分辨率三维结构信息协同结合起来，用于乳腺癌监测。这项研究的目的是检查和消除临床实施和受试者参与的几个潜在障碍，以及优化癌症检测的系统性能。通过对健康和患病乳房的临床检查，该项目将检查光学散射参数、X射线密度和其他DBT特征之间的关系，目的是估计DBT的光学散射，从而消除对散射测量的光学硬件的需要。光学模体将独立验证对比度恢复、线性度和散射估计。这项研究将通过在两种压缩水平下进行联合扫描，分析NIRST/DBT检查期间乳房压缩水平对健康和疾病受试者光学组织特征的影响。将针对每个对象在每个压缩级别确定感兴趣区域(ROI)和背景之间的光学对比度级别，并且还将比较每个级别的DBT图像。这部分研究的重点是确定什么加压水平可以最准确地识别病变，并评估全面加压检查的必要性。此外，还将对疾病患者的病理结果和NIRST/DBT图像进行比较，以进一步了解光学特性测量的生物学来源。到拟议的资助期结束时，我们预计对组织散布的性质、乳房压迫的影响以及产生图像对比度的乳腺癌的潜在组织病理学有了更多的了解。这些进展将指导NIRST/DBT系统的硬件和软件组件的优化，以增加与单独使用DBT相比，组合系统的ROC特性和积极预测价值显著改善的可能性，同时将系统成本和复杂性降至最低。