Quantitative fat and R2 mapping in vivo to measure lipid‐rich necrotic core and intraplaque hemorrhage in carotid atherosclerosis

• Published in: Magnetic resonance in medicine Vol. 78; no. 1; pp. 285 - 296
• Main Authors: Koppal, Sandeep, Warntjes, Marcel, Swann, Jeremy, Dyverfeldt, Petter, Kihlberg, Johan, Moreno, Rodrigo, Magee, Derek, Roberts, Nicholas, Zachrisson, Helene, Forssell, Claes, Länne, Toste, Treanor, Darren, de Muinck, Ebo D
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.07.2017
• Subjects: Adipose Tissue - diagnostic imaging; Adipose Tissue - metabolism; Adipose Tissue - pathology; Aged; Aged, 80 and over; Arteriosclerosis; Atherosclerosis; Biomarkers - metabolism; Carotid artery; Carotid Artery Diseases - diagnostic imaging; Carotid Artery Diseases - metabolism; Carotid Artery Diseases - pathology; Correlation; Hemorrhage; Hemorrhage - diagnostic imaging; Hemorrhage - metabolism; Hemorrhage - pathology; Histology; Humans; Image Interpretation, Computer-Assisted - methods; Lipid Metabolism; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Mapping; Medicine; Middle Aged; Models, Biological; Models, Statistical; Molecular Imaging - methods; Necrosis - diagnostic imaging; Necrosis - metabolism; Necrosis - pathology; NMR; Nuclear magnetic resonance; Patients; Plaques; Quantitative mapping; Reproducibility of Results; Resonance; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Spatial discrimination; Spatial resolution; Standard error; atherosclerosis; magnetic resonance imaging; quantitative mapping; carotid artery
• ISSN: 0740-3194; 1522-2594; 1522-2594
• DOI: 10.1002/mrm.26359

Purpose The aim of this work was to quantify the extent of lipid‐rich necrotic core (LRNC) and intraplaque hemorrhage (IPH) in atherosclerotic plaques. Methods Patients scheduled for carotid endarterectomy underwent four‐point Dixon and T1‐weighted magnetic resonance imaging (MRI) at 3 Tesla. Fat and R2* maps were generated from the Dixon sequence at the acquired spatial resolution of 0.60 × 0.60 × 0.70 mm voxel size. MRI and three‐dimensional (3D) histology volumes of plaques were registered. The registration matrix was applied to segmentations denoting LRNC and IPH in 3D histology to split plaque volumes in regions with and without LRNC and IPH. Results Five patients were included. Regarding volumes of LRNC identified by 3D histology, the average fat fraction by MRI was significantly higher inside LRNC than outside: 12.64 ± 0.2737% versus 9.294 ± 0.1762% (mean ± standard error of the mean [SEM]; P < 0.001). The same was true for IPH identified by 3D histology, R2* inside versus outside IPH was: 71.81 ± 1.276 s−1 versus 56.94 ± 0.9095 s−1 (mean ± SEM; P < 0.001). There was a strong correlation between the cumulative fat and the volume of LRNC from 3D histology (R2 = 0.92) as well as between cumulative R2* and IPH (R2 = 0.94). Conclusion Quantitative mapping of fat and R2* from Dixon MRI reliably quantifies the extent of LRNC and IPH. Magn Reson Med 78:285–296, 2017. © 2016 International Society for Magnetic Resonance in Medicine