LASER INDUCED FLUORESCENCE OF THE COLON AND ESOPHAGUS
LASER INDUCED FLUORESCENCE OF THE COLON AND ESOPHAGUS
批准号:
6362693
负责人:
IRENE GEORGAKOUDI
金额:
$4.02万
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
未结题
起止时间:
2001-02-04 至
关键词:
adenomatous polyps chromophore clinical research colon neoplasms computer data analysis diagnosis design /evaluation esophagus neoplasm fluorescence fluorescence spectrometry histopathology human subject hyperplasia laser spectrometry mathematics neoplasm /cancer diagnosis preneoplastic state statistics /biometry
中文摘要
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英文摘要
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).
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