LASER INDUCED FLUORESCENCE OF THE COLON AND ESOPHAGUS

我们建议使用激发发射矩阵（EEM）的分析 内源性激光诱导荧光（LIF）在体内获得的 结肠和食管癌前病变的诊断。 我们将 开发一种技术来分析荧光发射光谱， 350-700 nm范围，从337至610 nm激发，并获取信息 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 组织，增生性和腺瘤性息肉的情况下，结肠和 对于正常和Barrett上皮， 食道的情况。 最初，我们将执行 显微荧光分析研究与标本从不同的 将激发-发射光谱与特定的 荧光组织成分（目标1）。 这些资料 用于开发旨在分析EEM的算法 在体内获得（Aim 2）。 我们将寻找光谱特征 宽范围的激发波长， 灵敏度高于当前体内LIF程序的组织类型 通常在单一激发波长下进行。 最小数目 表征每种组织类型所需的光谱特征将 用于设计用于体内诊断的快速算法， 癌前病变 在目标3中，我们将在以下方面实施技术改进： 目前的快速EEM采集系统，以最大限度地提高其效率的基础上 目标2的结果 目标2中开发的算法将是 通过分析改进的快速EEM系统获得的EEM进行验证 (Aim 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).