BACKGROUND AND PURPOSE: Plaque morphologic features have been suggested as a complement to luminal narrowing measurements for assessing the risk of stroke associated with carotid atherosclerotic disease, giving rise to the concept of "vulnerable plaque." The purpose of this study was to evaluate the ability of multidetector-row CT angiography (CTA) to assess the composition and characteristics of carotid artery atherosclerotic plaques with use of histologic examination as the gold standard. MATERIALS AND METHODS: Eight patients with transient ischemic attacks who underwent carotid CTA and "en bloc" endarterectomy were enrolled in a prospective study. An ex vivo micro-CT study of each endarterectomy specimen was obtained, followed by histologic examination. A systematic comparison of CTA images with histologic sections and micro-CT images was performed to determine the CT attenuation associated with each component of the atherosclerotic plaques. A computer algorithm was subsequently developed that automatically identifies the components of the carotid atherosclerotic plaques, based on the density of each pixel. A neuroradiologist's reading of this computer analysis was compared with the interpretation of the histologic slides by a pathologist with respect to the types and characteristics of the carotid plaques. RESULTS: There was a 72.6% agreement between CTA and histologic examination in carotid plaque characterization. CTA showed perfect concordance for calcifications. A significant overlap between densities associated with lipid-rich necrotic core, connective tissue, and hemorrhage limited the reliability of individual pixel readings to identify these components. However, CTA showed good correlation with histologic examination for large lipid cores (kappa = 0.796; P < .001) and large hemorrhages (kappa = 0.712; P = .102). CTA performed well in detecting ulcerations (kappa = 0.855) and in measuring the fibrous cap thickness (R(2) = 0.77; P < .001). CONCLUSION: The composition of carotid atherosclerotic plaques determined by CTA reflects plaque composition defined by histologic examination.
BACKGROUND AND PURPOSE: Plaque morphologic features have been suggested as a complement to luminal narrowing measurements for assessing the risk of stroke associated with carotid atherosclerotic disease, giving rise to the concept of "vulnerable plaque." The purpose of this study was to evaluate the ability of multidetector-row CT angiography (CTA) to assess the composition and characteristics of carotid artery atherosclerotic plaques with use of histologic examination as the gold standard. MATERIALS AND METHODS: Eight patients with transient ischemic attacks who underwent carotid CTA and "en bloc" endarterectomy were enrolled in a prospective study. An ex vivo micro-CT study of each endarterectomy specimen was obtained, followed by histologic examination. A systematic comparison of CTA images with histologic sections and micro-CT images was performed to determine the CT attenuation associated with each component of the atherosclerotic plaques. A computer algorithm was subsequently developed that automatically identifies the components of the carotid atherosclerotic plaques, based on the density of each pixel. A neuroradiologist's reading of this computer analysis was compared with the interpretation of the histologic slides by a pathologist with respect to the types and characteristics of the carotid plaques. RESULTS: There was a 72.6% agreement between CTA and histologic examination in carotid plaque characterization. CTA showed perfect concordance for calcifications. A significant overlap between densities associated with lipid-rich necrotic core, connective tissue, and hemorrhage limited the reliability of individual pixel readings to identify these components. However, CTA showed good correlation with histologic examination for large lipid cores (kappa = 0.796; P < .001) and large hemorrhages (kappa = 0.712; P = .102). CTA performed well in detecting ulcerations (kappa = 0.855) and in measuring the fibrous cap thickness (R(2) = 0.77; P < .001). CONCLUSION: The composition of carotid atherosclerotic plaques determined by CTA reflects plaque composition defined by histologic examination.
Authors: Vitalii V Itskovich; Daniel D Samber; Venkatesh Mani; Juan Gilberto S Aguinaldo; John T Fallon; Cheuk Y Tang; Valentin Fuster; Zahi A Fayad Journal: Magn Reson Med Date: 2004-09 Impact factor: 4.668
Authors: S Ebrahim; O Papacosta; P Whincup; G Wannamethee; M Walker; A N Nicolaides; S Dhanjil; M Griffin; G Belcaro; A Rumley; G D Lowe Journal: Stroke Date: 1999-04 Impact factor: 7.914
Authors: M J McCarthy; I M Loftus; M M Thompson; L Jones; N J London; P R Bell; A R Naylor; N P Brindle Journal: J Vasc Surg Date: 1999-08 Impact factor: 4.268
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Authors: C Yuan; L M Mitsumori; M S Ferguson; N L Polissar; D Echelard; G Ortiz; R Small; J W Davies; W S Kerwin; T S Hatsukami Journal: Circulation Date: 2001-10-23 Impact factor: 29.690
Authors: Stephen Schroeder; Axel Kuettner; Martin Leitritz; Jan Janzen; Andreas F Kopp; Christian Herdeg; Martin Heuschmid; Christof Burgstahler; Andreas Baumbach; Manfred Wehrmann; Claus D Claussen Journal: J Comput Assist Tomogr Date: 2004 Jul-Aug Impact factor: 1.826
Authors: Christoph R Becker; Konstantin Nikolaou; Michael Muders; Gregor Babaryka; Alexander Crispin; U Joseph Schoepf; Udo Loehrs; Maximilian F Reiser Journal: Eur Radiol Date: 2003-04-12 Impact factor: 5.315
Authors: Tomasz J Czernuszewicz; Jonathon W Homeister; Melissa C Caughey; Yue Wang; Hongtu Zhu; Benjamin Y Huang; Ellie R Lee; Carlos A Zamora; Mark A Farber; Joseph J Fulton; Peter F Ford; William A Marston; Raghuveer Vallabhaneni; Timothy C Nichols; Caterina M Gallippi Journal: J Vasc Surg Date: 2017-07-13 Impact factor: 4.268
Authors: Emilia S Olson; Michael A Whitney; Beth Friedman; Todd A Aguilera; Jessica L Crisp; Fred M Baik; Tao Jiang; Stephen M Baird; Sotirios Tsimikas; Roger Y Tsien; Quyen T Nguyen Journal: Integr Biol (Camb) Date: 2012-04-26 Impact factor: 2.192
Authors: M Trelles; K M Eberhardt; M Buchholz; A Schindler; A Bayer-Karpinska; M Dichgans; M F Reiser; K Nikolaou; T Saam Journal: AJNR Am J Neuroradiol Date: 2013-07-18 Impact factor: 3.825
Authors: S Rozie; T T de Weert; C de Monyé; P J Homburg; H L J Tanghe; D W J Dippel; A van der Lugt Journal: Eur Radiol Date: 2009-04-22 Impact factor: 5.315