FUNCTIONAL OPTICAL MAMMOGRAPHY

描述(申请人提供)：建议的研究旨在确定采用一种新开发的技术平台(硬件和软件)的可行性，以检测和监测乳腺肿瘤对新辅助化疗的反应，其基础是对血管反应和血红蛋白状态的动态测量进行分析。这项技术使用非电离光源，并进行快速体积、多波长光学测量，从中得出血管反应性的信号和组织氧供应/需求的指示器。将通过评估三个具体目标来评估方法的可行性。1)我们将引入软件更新，以进一步实现系统能力的自动化，从而促进关键系统质量控制参数的收集和分析。这将允许确定系统性能并在线反馈其就绪情况。2)在可调测量头中增加照明/探测位置，并对其位置进行优化。指导这些研究的将是模拟包含各种包裹物的乳房的3D半球模型，以及使用实验室模体进行的类似研究。3)对于有限数量的健康志愿者和诊断为乳腺癌的受试者，我们将量化和表征乳房对各种动态平衡刺激的动态反应。在后一种情况下，这些研究将在新辅助治疗过程中的不同时间重复进行。收集的表面探测器数据和重建的3D图像时间序列将使用各种时间序列分析和统计方法进行分析，以揭示试验组之间对诱导的体内平衡刺激的显著差异。

DESCRIPTION (provided by applicant): The proposed study seeks to identify the feasibility of adopting a newly developed technology platform (hardware and software) to detect and monitor the response of neoplasms of the breast to neoadjuvant chemotherapy based on analysis of dynamic measures of the vascular response and hemoglobin states. This technology employs nonionizing optical sources and performs rapid volumetric, multi-wavelength optical measures from which are derived signatures of vascular reactivity and indicators of tissue oxygen supply/demand. Methodological feasibility will be assessed by evaluating three specific aims. 1) We will introduce software updates to serve to further automate system capability thereby facilitating the collection and analysis of key system quality control parameters. This will allow determination of system performance and online feedback of its readiness. 2) We will introduce additional illumination/detection sites into the adjustable measuring head and optimize their location. Guiding these studies will be simulation of 3D hemispheric models of the breast containing various inclusions and similar studies using laboratory phantoms. 3) For a limited number of healthy volunteers and subjects diagnosed with breast cancer, we will quantify and characterize the dynamic response of the breast to various homeostatic provocations. In latter case, these studies will be repeated at various times during the course of neoadjuvant therapy. The collected surface detector data and reconstructed 3D image time series will be analyzed using various time series analysis and statistical methods to reveal significant differences among the test groups to the induced homeostatic provocations.