BACKGROUND: Recent studies demonstrated that in vivo and ex vivo MRI can characterize the components of the carotid atherosclerotic plaque, such as fibrous tissue, lipid/necrotic core, calcium, hemorrhage, and thrombus. The purpose of this study was to determine whether in vivo high-resolution multicontrast MRI could accurately classify human carotid atherosclerotic plaque according to the American Heart Association classification. METHODS AND RESULTS: Sixty consecutive patients (mean age 70 years; 54 males) scheduled for carotid endarterectomy were imaged with a 1.5-T scanner after informed consent was obtained. A standardized protocol was used to obtain 4 different contrast-weighted images (time of flight and T1-, PD-, and T2-weighted) of the carotid arteries. Best voxel size was 0.25x0.25x1 mm3. Carotid plaques were removed intact and processed for histological examination. Both MR images and histological sections were independently reviewed, categorized, and compared. Overall, the classification obtained by MRI and the American Heart Association classifications showed good agreement, with Cohen's kappa (95% CI) of 0.74 (0.67 to 0.82) and weighted kappa of 0.79. The sensitivity and specificity, respectively, of MRI classification were as follows: type I-II lesions, 67% and 100%; type III lesions, 81% and 98%; type IV-V lesions, 84% and 90%; type VI lesions, 82% and 91%; type VII lesions, 80% and 94%; and type VIII lesions, 56% and 100%. CONCLUSIONS: In vivo high-resolution multicontrast MRI is capable of classifying intermediate to advanced atherosclerotic lesions in the human carotid artery and is also capable of distinguishing advanced lesions from early and intermediate atherosclerotic plaque.
BACKGROUND: Recent studies demonstrated that in vivo and ex vivo MRI can characterize the components of the carotid atherosclerotic plaque, such as fibrous tissue, lipid/necrotic core, calcium, hemorrhage, and thrombus. The purpose of this study was to determine whether in vivo high-resolution multicontrast MRI could accurately classify human carotid atherosclerotic plaque according to the American Heart Association classification. METHODS AND RESULTS: Sixty consecutive patients (mean age 70 years; 54 males) scheduled for carotid endarterectomy were imaged with a 1.5-T scanner after informed consent was obtained. A standardized protocol was used to obtain 4 different contrast-weighted images (time of flight and T1-, PD-, and T2-weighted) of the carotid arteries. Best voxel size was 0.25x0.25x1 mm3. Carotid plaques were removed intact and processed for histological examination. Both MR images and histological sections were independently reviewed, categorized, and compared. Overall, the classification obtained by MRI and the American Heart Association classifications showed good agreement, with Cohen's kappa (95% CI) of 0.74 (0.67 to 0.82) and weighted kappa of 0.79. The sensitivity and specificity, respectively, of MRI classification were as follows: type I-II lesions, 67% and 100%; type III lesions, 81% and 98%; type IV-V lesions, 84% and 90%; type VI lesions, 82% and 91%; type VII lesions, 80% and 94%; and type VIII lesions, 56% and 100%. CONCLUSIONS: In vivo high-resolution multicontrast MRI is capable of classifying intermediate to advanced atherosclerotic lesions in the human carotid artery and is also capable of distinguishing advanced lesions from early and intermediate atherosclerotic plaque.
Authors: Fabien Hyafil; Andreas Schindler; Dominik Sepp; Tilman Obenhuber; Anna Bayer-Karpinska; Tobias Boeckh-Behrens; Sabine Höhn; Marcus Hacker; Stephan G Nekolla; Axel Rominger; Martin Dichgans; Markus Schwaiger; Tobias Saam; Holger Poppert Journal: Eur J Nucl Med Mol Imaging Date: 2015-10-03 Impact factor: 9.236
Authors: Anne Menini; Glenn S Slavin; Jeffrey A Stainsby; Pauline Ferry; Jacques Felblinger; Freddy Odille Journal: MAGMA Date: 2015-02 Impact factor: 2.310
Authors: Jean Marie U-King-Im; Zhi-Yong Li; Rikin A Trivedi; Simon Howarth; Martin J Graves; Peter J Kirkpatrick; Jonathan H Gillard Journal: J Neurol Date: 2005-08-24 Impact factor: 4.849
Authors: Mauricio S Galizia; Alex Barker; Yihua Liao; Jeremy Collins; James Carr; Mary M McDermott; Michael Markl Journal: Eur Radiol Date: 2013-12-11 Impact factor: 5.315
Authors: Mihály Károlyi; Harald Seifarth; Gary Liew; Christopher L Schlett; Pál Maurovich-Horvat; Paul Stolzmann; Guangping Dai; Shuning Huang; Craig J Goergen; Masataka Nakano; Fumiyuki Otsuka; Renu Virmani; Udo Hoffmann; David E Sosnovik Journal: JACC Cardiovasc Imaging Date: 2013-03-14