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Plaques classification

Nair, A., Kuban, B., Tuczu, E. M., et al. (2002) Coronary Plaque Classification With Intravascular Ultrasound Radiofrequency Data Analysis, Circulation, 106, 2200-6. [Pg.353]

Luccinetti s group (Lucchinetti et al., 1996 Lucchinetti et al. 2000) changed the w ay MS disease classifications w ere view ed w hen their pathologic studies confirmed that MS plaques differ. Neuroimmunologic evidence now suggests... [Pg.589]

One of the limitations of CT is that tissues of different chemical composition but the same X-ray attenuation have the same Flounsfield values. This makes the differentiation and classification of tissue types challenging. Classical examples are the differentiation between calcified plaques and iodinated blood or hyper-dense and contrast-enhanced lesions. [Pg.18]

Examples of Raman spectra from three different types of human coronary artery are shown in Fig. 17. The top spectrum was obtained from a sample of nonatherosclerotic (normal) coronary artery, the middle from a noncalcified atheromatous plaque, and the bottom from a calcified plaque. The spectra from these different artery types are distinct and provide clear features for the determination of the chemical composition and for a histological classification of the arterial wall. For example, the normal coronary artery spectrum is dominated by protein features such as the amide I and III modes at 1650 and 1250 cm respectively, and the CH2 bending modes at —1450 cm In noncalcified atheromatous plaques, spectral features of cholesterol and cholesterol esters constitute the major part of the spectrum. The symmetric stretch at 960 cm of the calcium hydroxyapatite phosphate group dominates the spectrum of calcified plaques. [Pg.580]

Ren H, Lee DR, Hruban RH et al (1991) Pleural plaques do not predict asbestosis high-resolution computed tomography and pathology study. Mod Pathol 4 201-209 Rockoff SD, Schwartz A (1988) Roentgenographic imderesti-mation of early asbestosis by International Labor Organization classification. Analysis of data and probabihties. Chest 93 1088-1091... [Pg.222]


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