Literature DB >> 32039515

Quantitative Susceptibility Mapping for Characterization of Intraplaque Hemorrhage and Calcification in Carotid Atherosclerotic Disease.

Chaoyue Wang1,2,3, Yue Zhang1, Jingwen Du1, István N Huszár2,3, Saifeng Liu4, Yongsheng Chen4,5, Sagar Buch6, Fang Wu1, Yuehong Liu1, Mark Jenkinson2,3, Charlie Chia-Tsong Hsu7, Zhaoyang Fan8, E Mark Haacke4,5, Qi Yang1,8.   

Abstract

BACKGROUND: Carotid artery intraplaque hemorrhage (IPH), an unstable component of atherosclerosis, is associated with an increased risk of stroke.
PURPOSE: To investigate quantitative susceptibility mapping (QSM) as a tool for the evaluation of IPH and calcification in vivo. STUDY TYPE: Prospective. POPULATION: Ten healthy volunteers and 15 patients. FIELD STRENGTH/SEQUENCE: 3.0T Susceptibility-weighted imaging (SWI), magnetization-prepared rapid acquisition with gradient echo (MP-RAGE), T1 -weighted sampling perfection with application of optimized contrasts using different flip angle evolution (T1 -SPACE), T2 -weighted turbo spin-echo (T2 WI), and time-of-flight (TOF) sequences. ASSESSMENT: The vessel wall area of the carotid artery was measured with QSM and compared with T1 -SPACE on healthy volunteers. Four radiologists, blinded to clinical history and patient identity, determined the presence and area of IPH on MP-RAGE and QSM, as well as the area of calcification on T1 -SPACE and QSM. STATISTICAL TESTS: Bland-Altman analysis, Pearson correlation coefficients, linear regression analyses were performed to evaluate the concordance of area measurements. Cohen's kappa (κ) was analyzed to determine the agreement between IPH detections. The paired t-test was used to compare the group differences.
RESULTS: In 423 matched slices, 20.1% (85/423) and 19.6% (83/423) were detected to have IPH on MP-RAGE and QSM, respectively. IPH detection by QSM and MP-RAGE showed good agreement (κ = 0.822, P < 0.001) between the two methods. There was no significant difference in IPH area measurements between QSM and MP-RAGE (7.28 mm2  ± 6.41 vs. 7.16 mm2  ± 5.99, P = 0.575). There was no significant difference in calcification area measurement between QSM and T1 -SPACE (3.51 mm2  ± 1.78 vs. 3.41 mm2  ± 2.02, P = 0.783). DATA
CONCLUSION: QSM is a novel imaging tool for the identification of IPH in patients with carotid atherosclerosis and enables differentiation of IPH and calcification. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 1 J. Magn. Reson. Imaging 2020;52:534-541.
© 2020 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  calcification; carotid atherosclerosis; intraplaque hemorrhage; quantitative susceptibility mapping

Mesh:

Year:  2020        PMID: 32039515     DOI: 10.1002/jmri.27064

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


  5 in total

1.  Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data.

Authors:  Jingjia Chen; Nan-Jie Gong; Khallil Taverna Chaim; Maria Concepción García Otaduy; Chunlei Liu
Journal:  Neuroimage       Date:  2021-08-14       Impact factor: 6.556

Review 2.  Quantitative susceptibility mapping (QSM) of the cardiovascular system: challenges and perspectives.

Authors:  Alberto Aimo; Li Huang; Andrew Tyler; Andrea Barison; Nicola Martini; Luigi F Saccaro; Sébastien Roujol; Pier-Giorgio Masci
Journal:  J Cardiovasc Magn Reson       Date:  2022-08-18       Impact factor: 6.903

3.  Diffusion tensor imaging and arterial tissue: establishing the influence of arterial tissue microstructure on fractional anisotropy, mean diffusivity and tractography.

Authors:  B Tornifoglio; A J Stone; R D Johnston; S S Shahid; C Kerskens; C Lally
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.379

4.  The potential role of T2*-weighted multi-echo data image combination as an imaging marker for intraplaque hemorrhage in carotid plaque imaging.

Authors:  My Truong; Claes Håkansson; Makda HaileMichael; Jonas Svensson; Jimmy Lätt; Karin Markenroth Bloch; Roger Siemund; Isabel Gonçalves; Johan Wassélius
Journal:  BMC Med Imaging       Date:  2021-08-11       Impact factor: 1.930

Review 5.  Black-Blood Contrast in Cardiovascular MRI.

Authors:  Markus Henningsson; Shaihan Malik; Rene Botnar; Daniel Castellanos; Tarique Hussain; Tim Leiner
Journal:  J Magn Reson Imaging       Date:  2020-10-19       Impact factor: 5.119

  5 in total

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