New methods for time-resolved fluorescence spectroscopy data analysis based on the Laguerre expansion technique - Applications in tissue diagnosis

被引:0
|
作者
Jo, J. A.
Marcu, L.
Fang, Q.
Papaioannou, T.
Qiao, J. H.
Fishbein, M. C.
Beseth, B.
Dorafshar, A. H.
Reil, T.
Baker, D.
Freischlag, J.
机构
[1] Texas A&M Univ, Dept Biomed Engn, College Stn, TX 77843 USA
[2] Univ Calif Davis, Dept Biomed Engn, Davis, CA USA
[3] McMaster Univ, Dept Engn Phys, Hamilton, ON, Canada
[4] Cedars Sinai Med Ctr, Dept Surg, Los Angeles, CA 90048 USA
[5] Univ Calif Los Angeles, David Geffen Sch Med, Dept Pathol & Lab Med, Los Angeles, CA USA
[6] Univ Calif Los Angeles, David Geffen Sch Med, Dept Surg, Div Vasc Surg, Los Angeles, CA USA
[7] Johns Hopkins Univ, Sch Med, Dept Surg, Baltimore, MD 21205 USA
关键词
time-resolved fluorescence spectroscopy; Laguerre deconvolution; atherosclerosis;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Objectives: A new deconvolution method for the analysis of time-resolved laser-induced fluorescence spectroscopy (TR-LIFS) data is introduced and applied for tissue diagnosis. Method: The intrinsic TR-LIFS decays ore expanded on a Laguerre basis, and the computed laguerre expansion coefficients (LEC) are used to characterize the sample fluorescence emission. The method was applied for the diagnosis of atherosclerotic vulnerable plaques. Results: At a first stage, using a rabbit atherosclerotic model, 73 TR-LIFS in-vivo measurements from the normal and atherosclerotic aorta segments of eight rabbits were taken. The laguerre deconvolution technique was able to accurately deconvolve the TR-LIFS measurements. More interesting, the LEC reflected the changes in the arterial biochemical composition and provided discrimination of lesions rich in macrophages/foam-cells with high sensitivity (> 85%) and specificity (> 95%). At a second stage, 348 TR-LIFS measurements were obtained from the explanted carotid arteries of 30 patients. Lesions with significant inflammatory cells (macrophages/foam-cells and lymphocytes) were detected with high sensitivity (> 80%) and specificity (> 90%), using LEC-based classifiers. Conclusion: This study has demonstrated the potential of using TR-LIFS information by means of LEC for in vivo tissue diagnosis, and specifically for detecting inflammation in atherosclerotic lesions, a key marker of plaque vulnerability.
引用
收藏
页码:206 / 211
页数:6
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