2002
DOI: 10.1016/s0735-1097(02)01754-0
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In vivo noninvasive detection and age definition of arterial thrombus by MRI

Abstract: Magnetic resonance imaging is a promising tool to noninvasively detect arterial thrombosis. Measurement of SI and the characteristic visual appearance of the thrombus have the potential to define thrombus age.

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Cited by 112 publications
(85 citation statements)
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“…Recent studies have used multicontrast MRI to identify fibrous cap rupture, which is also capable of stratifying plaque into complicated and noncomplicated subtypes. 23,24 Recent animal experiments have also shown the ability of MRI to accurately identify and age intraluminal 14 thrombus and that arising from induced plaque rupture. 25 …”
Section: Relationship To Other Workmentioning
confidence: 99%
“…Recent studies have used multicontrast MRI to identify fibrous cap rupture, which is also capable of stratifying plaque into complicated and noncomplicated subtypes. 23,24 Recent animal experiments have also shown the ability of MRI to accurately identify and age intraluminal 14 thrombus and that arising from induced plaque rupture. 25 …”
Section: Relationship To Other Workmentioning
confidence: 99%
“…18 -20 However, in animal experiments, MRI has accurately identified and aged intra-arterial lumen thrombus. 21,22 Recent work with multispectral MRI identified intraplaque hemorrhage and necrotic core with high accuracy in 18 human carotid endarterectomy subjects. 23 Later work has demonstrated that in vivo high resolution multicontrast MRI is capable of classifying intermediate to advanced atherosclerotic lesions in the human carotid artery and found a 37% prevalence of histological complicated (type VI) plaque in 52 preendarterectomy patients.…”
Section: Relationship To Other Workmentioning
confidence: 99%
“…Semi-quantitative comparison of the MR images to immunohistochemical staining of the same thrombus (Fig. 2d-g) show that bright regions in MR images correspond to laminations of coalescent platelets mixed with fibrin meshwork, known as Zahn lines (10,11,18,19). Such bright patterns in T 1 -weighted MR images, as in the example in Figure 2, were found in 18 of 21 samples.…”
Section: Resultsmentioning
confidence: 76%