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Lung cancer diagnosis based on serum autofluorescence
Laser-induced fluorescence spectroscopy is a widely-used medicinal spectral technique that has been used on the diagnosis of tissues and cells. In this paper, we measured the auto-fluorescence of serum of lung cancer patients and healthy people using the technique of laser-induced fluorescence spect...
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creator | Xiaozhou Li Xiangxiang Tian Rong Wang Ming Lei |
description | Laser-induced fluorescence spectroscopy is a widely-used medicinal spectral technique that has been used on the diagnosis of tissues and cells. In this paper, we measured the auto-fluorescence of serum of lung cancer patients and healthy people using the technique of laser-induced fluorescence spectroscopy. Principal component analysis and discriminant analysis were used to analyze the data of fluorescence spectra, and an accuracy rate of 84% was obtained. Our preliminary research proved the possibility of using auto-fluorescence of serum for the diagnosis of lung cancer. |
doi_str_mv | 10.1109/ITiME.2011.6132091 |
format | conference_proceeding |
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In this paper, we measured the auto-fluorescence of serum of lung cancer patients and healthy people using the technique of laser-induced fluorescence spectroscopy. Principal component analysis and discriminant analysis were used to analyze the data of fluorescence spectra, and an accuracy rate of 84% was obtained. 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In this paper, we measured the auto-fluorescence of serum of lung cancer patients and healthy people using the technique of laser-induced fluorescence spectroscopy. Principal component analysis and discriminant analysis were used to analyze the data of fluorescence spectra, and an accuracy rate of 84% was obtained. Our preliminary research proved the possibility of using auto-fluorescence of serum for the diagnosis of lung cancer.</description><subject>Cancer</subject><subject>Educational institutions</subject><subject>Fluorescence</subject><subject>fluorescence spectroscopy</subject><subject>lung cancer</subject><subject>Lungs</subject><subject>Measurement by laser beam</subject><subject>Principal component analysis</subject><subject>serum</subject><subject>Spectroscopy</subject><isbn>1612847013</isbn><isbn>9781612847016</isbn><isbn>9781612847030</isbn><isbn>1612847048</isbn><isbn>9781612847047</isbn><isbn>161284703X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j09Lw0AUxFekoLb5AnrZL5C4b_-87B6lVC1EvOReNpu3ZaVNJNsc_PYGrHMZBn4MM4w9gqgAhHvet-ljV0kBUCEoKRzcsMLVFhCk1bVQ4pY9_AdQd6zI-UssQnS2lvfMNPNw5MEPgSbeJ38cxpwy73ymno8DzzTNZ-7nyxhP8zhRDrSgG7aK_pSpuPqata-7dvteNp9v--1LUyYnLqX2CmPsYtRgse4BNGjSUjltegqIXfTBCrAOjTPQe0KjcJlsu6CMC6TW7OmvNhHR4XtKZz_9HK5H1S8-f0ZO</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Xiaozhou Li</creator><creator>Xiangxiang Tian</creator><creator>Rong Wang</creator><creator>Ming Lei</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201112</creationdate><title>Lung cancer diagnosis based on serum autofluorescence</title><author>Xiaozhou Li ; Xiangxiang Tian ; Rong Wang ; Ming Lei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-4a36ffbff41867d11414e423945dec66bfac8018965951dae65360308bc359ce3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Cancer</topic><topic>Educational institutions</topic><topic>Fluorescence</topic><topic>fluorescence spectroscopy</topic><topic>lung cancer</topic><topic>Lungs</topic><topic>Measurement by laser beam</topic><topic>Principal component analysis</topic><topic>serum</topic><topic>Spectroscopy</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiaozhou Li</creatorcontrib><creatorcontrib>Xiangxiang Tian</creatorcontrib><creatorcontrib>Rong Wang</creatorcontrib><creatorcontrib>Ming Lei</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xiaozhou Li</au><au>Xiangxiang Tian</au><au>Rong Wang</au><au>Ming Lei</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Lung cancer diagnosis based on serum autofluorescence</atitle><btitle>2011 IEEE International Symposium on IT in Medicine and Education</btitle><stitle>ITiME</stitle><date>2011-12</date><risdate>2011</risdate><volume>2</volume><spage>680</spage><epage>682</epage><pages>680-682</pages><isbn>1612847013</isbn><isbn>9781612847016</isbn><eisbn>9781612847030</eisbn><eisbn>1612847048</eisbn><eisbn>9781612847047</eisbn><eisbn>161284703X</eisbn><abstract>Laser-induced fluorescence spectroscopy is a widely-used medicinal spectral technique that has been used on the diagnosis of tissues and cells. In this paper, we measured the auto-fluorescence of serum of lung cancer patients and healthy people using the technique of laser-induced fluorescence spectroscopy. Principal component analysis and discriminant analysis were used to analyze the data of fluorescence spectra, and an accuracy rate of 84% was obtained. Our preliminary research proved the possibility of using auto-fluorescence of serum for the diagnosis of lung cancer.</abstract><pub>IEEE</pub><doi>10.1109/ITiME.2011.6132091</doi><tpages>3</tpages></addata></record> |
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ispartof | 2011 IEEE International Symposium on IT in Medicine and Education, 2011, Vol.2, p.680-682 |
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subjects | Cancer Educational institutions Fluorescence fluorescence spectroscopy lung cancer Lungs Measurement by laser beam Principal component analysis serum Spectroscopy |
title | Lung cancer diagnosis based on serum autofluorescence |
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