Quantitative characterization of carotid plaque components using MR apparent diffusion coefficients and longitudinal relaxation rates at 3T: A comparison with histology. Issue 6 (16th October 2018)

• Record Type: Journal Article
• Authors: Ota, Hideki; Tamura, Hajime; Itabashi, Ryo; Yazawa, Yukako; Nakamura, Yasuhiro; Hisamatsu, Kenji; Takamatsu, Manabu; Endo, Hidenori; Niizuma, Kuniyasu; Enomoto, Yukiko; Nagasaka, Tatsuo; Kajita, Kimihiro; Watanabe, Mika; Yoshimura, Shinichi; Yuan, Chun
• Is Part Of: Journal of magnetic resonance imaging. Volume 48:Issue 6(2018)
• Page Start: 1657
• Page End: 1667
• Publication Date: 2018-10-16
• Subjects: apparent diffusion coefficient -- carotid plaque components -- histology -- longitudinal relaxation rate -- magnetic resonance imaging; Magnetic resonance imaging -- Periodicals; 616
• DOI: 10.1002/jmri.26216
• Languages: English
• ISSNs: 1053-1807

Abstract

Abstract : Background: There is limited evidence of parametric MR mapping to characterize carotid plaques associated with cerebral ischemic events. Purpose: To explore the apparent diffusion coefficients (ADCs) and longitudinal relaxation rates ( R 1 ) of carotid plaques, including areas of hemorrhage, lipid‐rich/necrotic core (LR/NC) without hemorrhage, and fibrous tissue (Fbr) Study Type: Prospective. Subjects: Twelve patients who underwent carotid endarterectomy. Field Strength/Sequence: R 1 was measured using double angle Look–Locker acquisition on 3T systems. Single‐shot spin‐echo echo‐planar imaging with fat suppression and outer‐volume suppression (OVS‐DWEPI) with b values of 10 and 500 s/mm 2 was used for diffusion‐weighted imaging. Assessment: A phantom study using diluted gadolinium solutions and polyvinyl alcohol solutions was used to validate the two protocols. Regions of interest (ROIs) were manually outlined on MR images for areas of LR/NC, hemorrhage, and Fbr based on histological cross‐sections. Pixel‐based R 1 and ADC values in the ROIs were plotted for each component. The probability density function of the plots determined the optimum contours to separate the three components in the ADC‐ R 1 plane. The LR/NC, hemorrhage, and Fbr regions were mapped on MR images based on the above results and compared to histological results. Statistical Tests: The R 1 values of the phantom measurements were tested using Bland–Altman analysis. The accuracies of the MRI classification were calculated. Results: R 1 values <8 s −1 calculated using our method agreed with those calculated using an inversion‐recovery fast‐spin‐echo sequence (error, ≤0.1 s −1 ). ADC values obtained using OVS‐DWEPI were 4.1% higher than those obtained using standard echo‐planar imaging. LR/NC ( R 1, 0.4–1.2 s −1 ; ADC, 0–1.5 μm 2 /ms), hemorrhage ( R 1 ≥ 1.5 s −1 ; ADC, 0.5–1.5 μm 2 /ms), and Fbr ( R 1, 0.2–0.8 s −1 ; ADC, 1.5–2.9 μm 2 /ms) were separated on the plots. The accuracies of MRI classification were LR/NC, 0.86; hemorrhage, 0.79; and Fbr, 0.77. Conclusion: The combination of ADC and R 1 values measured using our method enabled differentiation among LR/NC, hemorrhage, and Fbr. Level of Evidence: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:1657–1667