Tomasz J Czernuszewicz1, Jonathon W Homeister2, Melissa C Caughey3, Yue Wang4, Hongtu Zhu4, Benjamin Y Huang5, Ellie R Lee5, Carlos A Zamora5, Mark A Farber6, Joseph J Fulton6, Peter F Ford6, William A Marston6, Raghuveer Vallabhaneni6, Timothy C Nichols7, Caterina M Gallippi8. 1. Joint Department of Biomedical Engineering, The University of North Carolina, Chapel Hill, and North Carolina State University, Raleigh, NC. 2. Department of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, NC. 3. Department of Medicine, The University of North Carolina, Chapel Hill, NC. 4. Department of Biostatistics, The University of North Carolina, Chapel Hill, NC. 5. Department of Radiology, The University of North Carolina, Chapel Hill, NC. 6. Department of Surgery, The University of North Carolina, Chapel Hill, NC. 7. Department of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, NC; Department of Medicine, The University of North Carolina, Chapel Hill, NC. 8. Joint Department of Biomedical Engineering, The University of North Carolina, Chapel Hill, and North Carolina State University, Raleigh, NC; Department of Radiology, The University of North Carolina, Chapel Hill, NC; Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC. Electronic address: cmgallip@email.unc.edu.
Abstract
OBJECTIVE: Stroke is commonly caused by thromboembolic events originating from ruptured carotid plaque with vulnerable composition. This study assessed the performance of acoustic radiation force impulse (ARFI) imaging, a noninvasive ultrasound elasticity imaging method, for delineating the composition of human carotid plaque in vivo with histologic validation. METHODS: Carotid ARFI images were captured before surgery in 25 patients undergoing clinically indicated carotid endarterectomy. The surgical specimens were histologically processed with sectioning matched to the ultrasound imaging plane. Three radiologists, blinded to histology, evaluated parametric images of ARFI-induced peak displacement to identify plaque features such as necrotic core (NC), intraplaque hemorrhage (IPH), collagen (COL), calcium (CAL), and fibrous cap (FC) thickness. Reader performance was measured against the histologic standard using receiver operating characteristic curve analysis, linear regression, Spearman correlation (ρ), and Bland-Altman analysis. RESULTS: ARFI peak displacement was two-to-four-times larger in regions of NC and IPH relative to regions of COL or CAL. Readers detected soft plaque features (NC/IPH) with a median area under the curve of 0.887 (range, 0.867-0.924) and stiff plaque features (COL/CAL) with median area under the curve of 0.859 (range, 0.771-0.929). FC thickness measurements of two of the three readers correlated with histology (reader 1: R2 = 0.64, ρ = 0.81; reader 2: R2 = 0.89, ρ = 0.75). CONCLUSIONS: This study suggests that ARFI is capable of distinguishing soft from stiff atherosclerotic plaque components and delineating FC thickness.
OBJECTIVE:Stroke is commonly caused by thromboembolic events originating from ruptured carotid plaque with vulnerable composition. This study assessed the performance of acoustic radiation force impulse (ARFI) imaging, a noninvasive ultrasound elasticity imaging method, for delineating the composition of human carotid plaque in vivo with histologic validation. METHODS: Carotid ARFI images were captured before surgery in 25 patients undergoing clinically indicated carotid endarterectomy. The surgical specimens were histologically processed with sectioning matched to the ultrasound imaging plane. Three radiologists, blinded to histology, evaluated parametric images of ARFI-induced peak displacement to identify plaque features such as necrotic core (NC), intraplaque hemorrhage (IPH), collagen (COL), calcium (CAL), and fibrous cap (FC) thickness. Reader performance was measured against the histologic standard using receiver operating characteristic curve analysis, linear regression, Spearman correlation (ρ), and Bland-Altman analysis. RESULTS: ARFI peak displacement was two-to-four-times larger in regions of NC and IPH relative to regions of COL or CAL. Readers detected soft plaque features (NC/IPH) with a median area under the curve of 0.887 (range, 0.867-0.924) and stiff plaque features (COL/CAL) with median area under the curve of 0.859 (range, 0.771-0.929). FC thickness measurements of two of the three readers correlated with histology (reader 1: R2 = 0.64, ρ = 0.81; reader 2: R2 = 0.89, ρ = 0.75). CONCLUSIONS: This study suggests that ARFI is capable of distinguishing soft from stiff atherosclerotic plaque components and delineating FC thickness.
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