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2.
Cardiovasc Pathol ; 10(2): 69-82, 2001.
Article in English | MEDLINE | ID: mdl-11425600

ABSTRACT

BACKGROUND: We have previously shown that Raman spectroscopy can be used for chemical analysis of intact human coronary artery atherosclerotic lesions ex vivo without tissue homogenization or extraction. Here, we report the chemical analysis of individual cellular and extracellular components of atherosclerotic lesions in different stages of disease progression in situ using Raman microspectroscopy. METHODS: Thirty-five coronary artery samples were taken from 16 explanted transplant recipient hearts, and thin sections were prepared. Using a high-resolution confocal Raman microspectrometer system with an 830-nm laser light, high signal-to-noise Raman spectra were obtained from the following morphologic structures: internal and external elastic lamina, collagen fibers, fat, foam cells, smooth muscle cells, necrotic core, beta-carotene, cholesterol crystals, and calcium mineralizations. Their Raman spectra were modeled by using a linear combination of basis Raman spectra from the major biochemicals present in arterial tissue, including collagen, elastin, actin, myosin, tropomyosin, cholesterol monohydrate, cholesterol linoleate, phosphatidyl choline, triolein, calcium hydroxyapatite, calcium carbonate, and beta-carotene. RESULTS: The results show that the various morphologic structures have characteristic Raman spectra, which vary little from structure to structure and from artery to artery. The biochemical model described the spectrum of each morphologic structure quite well, indicating that the most essential biochemical components were included in the model. Furthermore, the biochemical composition of each structure, indicated by the fit contributions of the biochemical basis spectra of the morphologic structure spectrum, was very consistent. CONCLUSIONS: The Raman spectra of various morphologic structures in normal and atherosclerotic coronary artery may be used as basis spectra in a linear combination model to analyze the morphologic composition of atherosclerotic coronary artery lesions.


Subject(s)
Coronary Artery Disease/pathology , Coronary Vessels/pathology , Spectrum Analysis, Raman/methods , Biomarkers/analysis , Coronary Artery Disease/classification , Coronary Artery Disease/metabolism , Coronary Vessels/chemistry , Disease Progression , Foam Cells/chemistry , Foam Cells/pathology , Microscopy, Confocal , Models, Biological , Necrosis
3.
Cardiovasc Pathol ; 10(2): 59-68, 2001.
Article in English | MEDLINE | ID: mdl-11425599

ABSTRACT

BACKGROUND: Recent studies have shown that chemical composition and morphology, rather than anatomy (degree of stenosis), determine atherosclerotic plaque instability and predict disease progression. Current clinical diagnostic techniques provide accurate assessment of plaque anatomy, but have limited capability to assess plaque morphology in vivo. Here we describe a technique for a morphology-based diagnosis of atherosclerosis in the coronary arteries using Raman spectroscopy that can potentially be performed in vivo using optical fiber technology. METHODS: Raman tissue spectra were collected from normal and atherosclerotic coronary artery samples in different stages of disease progression (n=165) from explanted transplant recipient hearts (n=16). Raman spectra from the elastic laminae (EL), collagen fibers (CF), smooth muscle cells (SMC), adventitial adipocytes (AA) or fat cells, foam cells (FC), necrotic core (NC), cholesterol crystals (CC), beta-carotene containing crystals (beta-C), and calcium mineralizations (CM) were used as basis spectra in a linear least squares-minimization (LSM) model to calculate the contribution of these morphologic structures to the coronary artery tissue spectra. RESULTS: We developed a diagnostic algorithm that used the fit-contributions of the various morphologic structures to classify 97 coronary artery samples in an initial calibration data set as either nonatherosclerotic, calcified plaque, or noncalcified atheromatous plaque. The algorithm was subsequently tested prospectively in a second validation data set, and correctly classified 64 (94%) of 68 coronary artery samples. CONCLUSIONS: Raman spectroscopy provides information about the morphologic composition of intact human coronary artery without the need for excision and microscopic examination. In the future, it may be possible to use this technique to analyze the morphologic composition of atherosclerotic coronary artery lesions and assess plaque instability and disease progression in vivo.


Subject(s)
Coronary Artery Disease/diagnosis , Coronary Vessels/pathology , Spectrum Analysis, Raman/methods , Adipocytes/chemistry , Adipose Tissue/chemistry , Algorithms , Calcinosis/metabolism , Calcium/analysis , Cholesterol/analysis , Collagen/chemistry , Coronary Artery Disease/classification , Coronary Artery Disease/metabolism , Coronary Vessels/chemistry , Crystallization , Disease Progression , Elastic Tissue/chemistry , Foam Cells/chemistry , Humans , Microscopy, Confocal/methods , Muscle, Smooth/chemistry , Muscle, Smooth/cytology , Necrosis , beta Carotene/analysis
4.
Phys Med Biol ; 45(2): R1-59, 2000 Feb.
Article in English | MEDLINE | ID: mdl-10701500

ABSTRACT

Raman spectroscopy is a potentially important clinical tool for real-time diagnosis of disease and in situ evaluation of living tissue. The purpose of this article is to review the biological and physical basis of Raman spectroscopy of tissue, to assess the current status of the field and to explore future directions. The principles of Raman spectroscopy and the molecular level information it provides are explained. An overview of the evolution of Raman spectroscopic techniques in biology and medicine, from early investigations using visible laser excitation to present-day technology based on near-infrared laser excitation and charge-coupled device array detection, is presented. State-of-the-art Raman spectrometer systems for research laboratory and clinical settings are described. Modern methods of multivariate spectral analysis for extracting diagnostic, chemical and morphological information are reviewed. Several in-depth applications are presented to illustrate the methods of collecting, processing and analysing data, as well as the range of medical applications under study. Finally, the issues to be addressed in implementing Raman spectroscopy in various clinical applications, as well as some long-term directions for future study, are discussed.


Subject(s)
Diagnostic Techniques and Procedures , Spectrum Analysis, Raman , Alzheimer Disease/diagnosis , Animals , Arteriosclerosis/diagnosis , Blood Chemical Analysis/methods , Breast Neoplasms/diagnosis , Female , History, 20th Century , Humans , India , Spectrum Analysis, Raman/history , Spectrum Analysis, Raman/methods
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