Literature DB >> 30325551

Quantitative characterization of carotid plaque components using MR apparent diffusion coefficients and longitudinal relaxation rates at 3T: A comparison with histology.

Hideki Ota1, Hajime Tamura2, Ryo Itabashi3, Yukako Yazawa3, Yasuhiro Nakamura4, Kenji Hisamatsu5,6, Manabu Takamatsu7, Hidenori Endo8, Kuniyasu Niizuma8, Yukiko Enomoto9, Tatsuo Nagasaka10, Kimihiro Kajita11, Mika Watanabe12, Shinichi Yoshimura13, Chun Yuan14.   

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 (R1 ) 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: R1 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/mm2 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 R1 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-R1 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 R1 values of the phantom measurements were tested using Bland-Altman analysis. The accuracies of the MRI classification were calculated.
RESULTS: R1 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 (R1 , 0.4-1.2 s-1 ; ADC, 0-1.5 μm2 /ms), hemorrhage (R1  ≥ 1.5 s-1 ; ADC, 0.5-1.5 μm2 /ms), and Fbr (R1 , 0.2-0.8 s-1 ; ADC, 1.5-2.9 μm2 /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 R1 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.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  apparent diffusion coefficient; carotid plaque components; histology; longitudinal relaxation rate; magnetic resonance imaging

Mesh:

Substances:

Year:  2018        PMID: 30325551     DOI: 10.1002/jmri.26216

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  2 in total

Review 1.  Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application.

Authors:  Luca Saba; Skandha S Sanagala; Suneet K Gupta; Vijaya K Koppula; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; Durga P Misra; Vikas Agarwal; Aditya M Sharma; Vijay Viswanathan; Vijay S Rathore; Monika Turk; Raghu Kolluri; Klaudija Viskovic; Elisa Cuadrado-Godia; George D Kitas; Neeraj Sharma; Andrew Nicolaides; Jasjit S Suri
Journal:  Ann Transl Med       Date:  2021-07

2.  Quantitative evaluation of carotid atherosclerotic vulnerable plaques using in vivo T1 mapping cardiovascular magnetic resonaonce: validation by histology.

Authors:  Huiyu Qiao; Dongye Li; Jingli Cao; Haikun Qi; Yongjun Han; Hualu Han; Huimin Xu; Tao Wang; Shuo Chen; Huijun Chen; Yajie Wang; Xihai Zhao
Journal:  J Cardiovasc Magn Reson       Date:  2020-05-21       Impact factor: 5.364

  2 in total

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