Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-43217
Ratering, D; Baltes, C; Lohmann, C; Matter, C M; Rudin, M (2011). Accurate assessment of carotid artery stenosis in atherosclerotic mice using accelerated high-resolution 3D magnetic resonance angiography. Magma, 24(1):9-18.
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OBJECT: High-resolution magnetic resonance angiography (MRA) enables non-invasive detection and longitudinal monitoring of atherosclerosis in mouse models of human disease. However, MRA is hampered by long acquisition times putting high demands on the physiological stability of the animal. Therefore, we evaluated the feasibility of accelerated MRA using the parallel imaging technique SENSE with regard to both lesion detection and quantification. MATERIALS AND METHODS: MRA acquisitions of supra-aortic vessels were performed in ApoE (-/-) mice that have been shown to develop atherosclerotic plaques. Findings obtained from accelerated data sets were compared to fully sampled reference data sets and histology. RESULTS: Our results revealed only minor differences in detecting vascular lesions for data collections accelerated by factors of up to 3.3 using a four-element coil array. For vessels with a mean lumen diameter of 500 μm, morphometry of stenotic lesions revealed no substantial deviations from reference (fully sampled) data for all investigated acceleration factors. For the highest acceleration factor of 3.3, an average deviation of the degree of stenosis of 4.9 ± 3.6% was found. Common carotid stenoses assessed by in vivo MRA displayed a good correlation with histological analyses (slope of linear regression = 0.97, R (2) = 0.98). CONCLUSION: According to the results of this work, we have demonstrated the feasibility and accuracy of accelerated high-resolution 3D ToF MRA in mice suitable for detailed depiction of mouse supra-aortic vessels and amenable to non-invasive quantification of small atherosclerotic lesions.
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|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||04 Faculty of Medicine > Institute of Pharmacology and Toxicology
04 Faculty of Medicine > Institute of Biomedical Engineering
|Dewey Decimal Classification:||570 Life sciences; biology
610 Medicine & health
|Deposited On:||30 Jan 2011 19:17|
|Last Modified:||05 Apr 2016 14:38|
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