LASER INDUCED FLUORESCENCE OF THE COLON AND ESOPHAGUS

我们建议使用激发-发射矩阵(Eem)的分析。 体内获得的内源性激光诱导荧光(LIF) 结肠和食道癌前病变的诊断。我们会 开发一种分析荧光发射光谱的技术 350-700 nm范围，激发从337 nm到610 nm，并获得信息 关于组织类型的化学和结构组成 调查。我们的目标是找到正常的光谱特征 结肠和结肠的组织、增生性和腺瘤性息肉 对于正常和Barrett‘s上皮，低度和高度不典型增生在 食道的病例。首先，我们将表演 不同样品的显微荧光光谱研究 将激发-发射光谱与特定组织类型相关联 荧光组织成分(目标1)。此信息将用于 用于开发设计用于分析EMM的算法 体内获得性(目标2)。我们将征集光谱签名 宽范围的激发波长，区分不同的 组织类型比目前在体LIF操作更敏感 通常在单一激发波长下进行。最小数量 描述每种组织类型所需的光谱特征将 用于活体诊断的快速算法设计 癌症前疾病。在目标3中，我们将在技术上进行改进 目前的FAST-EEM捕获系统以最大限度地提高其效率为基础 根据目标2的结果。目标2中开发的算法将是 通过对改进的FAST-EEM系统得到的EEM进行分析验证 (目标4)。

We propose to use the analysis of excitation-emission matrices (EEMs) of endogenous laser-induced fluorescence (LIF) obtained in vivo for the diagnosis of premalignancies in the colon and the esophagus. We will develop a technique to analyze fluorescence emission spectra in the 350-700 nm range, excited from 337 to 610 nm, and to obtain information about the chemical and structural composition of the tissue type under investigation. Our goal is to find spectroscopic signatures for normal tissue, hyperplastic and adenomatous polyps in the case of the colon and for normal and Barrett's epithelium, low and high grade dysplasia in the case of the esophagus. Initially, we will perform microscpectrofluorometry studies with specimens from the different tissue types to associate excitation-emission spectra to particular fluorescing tissue components (Aim 1). This information will be used for the development of algorithms that are designed to analyze EEMs acquired in vivo (Aim 2). We will seek spectroscopic signatures over a wide range excitation wavelengths that distinguish the different tissue types with higher sensitivity than current in vivo LIF procedures performed usually at a single excitation wavelength. The minimum number of spectroscopic features required to characterize each tissue type will be used for the design of fast algorithms for in vivo diagnosis of premalignancy. In Aim 3, we will implement technical improvements on the current fast-EEM acquisition system to maximize its efficiency based on results from Aim 2. The algorithms developed in Aim 2 will be validated by analyzing EEMs obtained with the improved fast-EEM system (Aim 4).