Literature DB >> 29117484

Carotid Intraplaque Hemorrhage Imaging with Quantitative Vessel Wall T1 Mapping: Technical Development and Initial Experience.

Haikun Qi1, Jie Sun1, Huiyu Qiao1, Shuo Chen1, Zechen Zhou1, Xinlei Pan1, Yishi Wang1, Xihai Zhao1, Rui Li1, Chun Yuan1, Huijun Chen1.   

Abstract

Purpose To develop a three-dimensional (3D) high-spatial-resolution time-efficient sequence for use in quantitative vessel wall T1 mapping. Materials and Methods A previously described sequence, simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) imaging, was extended by introducing 3D golden angle radial k-space sampling (GOAL-SNAP). Sliding window reconstruction was adopted to reconstruct images at different inversion delay times (different T1 contrasts) for voxelwise T1 fitting. Phantom studies were performed to test the accuracy of T1 mapping with GOAL-SNAP against a two-dimensional inversion recovery (IR) spin-echo (SE) sequence. In vivo studies were performed in six healthy volunteers (mean age, 27.8 years ± 3.0 [standard deviation]; age range, 24-32 years; five male) and five patients with atherosclerosis (mean age, 66.4 years ± 5.5; range, 60-73 years; five male) to compare T1 measurements between vessel wall sections (five per artery) with and without intraplaque hemorrhage (IPH). Statistical analyses included Pearson correlation coefficient, Bland-Altman analysis, and Wilcoxon rank-sum test with data permutation by subject. Results Phantom T1 measurements with GOAL-SNAP and IR SE sequences showed excellent correlation (R2 = 0.99), with a mean bias of -25.8 msec ± 43.6 and a mean percentage error of 4.3% ± 2.5. Minimum T1 was significantly different between sections with IPH and those without it (mean, 371 msec ± 93 vs 944 msec ± 120; P = .01). Estimated T1 of normal vessel wall and muscle were 1195 msec ± 136 and 1117 msec ± 153, respectively. Conclusion High-spatial-resolution (0.8 mm isotropic) time-efficient (5 minutes) vessel wall T1 mapping is achieved by using the GOAL-SNAP sequence. This sequence may yield more quantitative reproducible biomarkers with which to characterize IPH and monitor its progression. © RSNA, 2017.

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Year:  2017        PMID: 29117484      PMCID: PMC5860939          DOI: 10.1148/radiol.2017170526

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  28 in total

1.  k-space weighted image contrast (KWIC) for contrast manipulation in projection reconstruction MRI.

Authors:  H K Song; L Dougherty
Journal:  Magn Reson Med       Date:  2000-12       Impact factor: 4.668

2.  T1-insensitive flow suppression using quadruple inversion-recovery.

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Journal:  Magn Reson Med       Date:  2002-11       Impact factor: 4.668

3.  Temporal stability of adaptive 3D radial MRI using multidimensional golden means.

Authors:  Rachel W Chan; Elizabeth A Ramsay; Charles H Cunningham; Donald B Plewes
Journal:  Magn Reson Med       Date:  2009-02       Impact factor: 4.668

4.  An optimized 3D inversion recovery prepared fast spoiled gradient recalled sequence for carotid plaque hemorrhage imaging at 3.0 T.

Authors:  David C Zhu; Marina S Ferguson; J Kevin DeMarco
Journal:  Magn Reson Imaging       Date:  2008-06-25       Impact factor: 2.546

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Journal:  BMJ       Date:  1996-06-29

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Authors:  Steven Kecskemeti; Alexey Samsonov; Samuel A Hurley; Douglas C Dean; Aaron Field; Andrew L Alexander
Journal:  Magn Reson Med       Date:  2015-04-17       Impact factor: 4.668

7.  Presence of intraplaque hemorrhage stimulates progression of carotid atherosclerotic plaques: a high-resolution magnetic resonance imaging study.

Authors:  Norihide Takaya; Chun Yuan; Baocheng Chu; Tobias Saam; Nayak L Polissar; Gail P Jarvik; Carol Isaac; Judith McDonough; Cynthia Natiello; Randy Small; Marina S Ferguson; Thomas S Hatsukami
Journal:  Circulation       Date:  2005-05-23       Impact factor: 29.690

8.  Magnetic resonance imaging of carotid atherosclerosis: plaque analysis.

Authors:  William Kerwin; Dongxiang Xu; Fei Liu; Tobias Saam; Hunter Underhill; Norihide Takaya; Baocheng Chu; Thomas Hatsukami; Chun Yuan
Journal:  Top Magn Reson Imaging       Date:  2007-10

9.  Characterization of complicated carotid plaque with magnetic resonance direct thrombus imaging in patients with cerebral ischemia.

Authors:  Alan R Moody; Rachael E Murphy; Paul S Morgan; Anne L Martel; G S Delay; Steve Allder; Shane T MacSweeney; William G Tennant; John Gladman; John Lowe; Beverley J Hunt
Journal:  Circulation       Date:  2003-06-09       Impact factor: 29.690

10.  Modified look-locker inversion recovery T1 mapping indices: assessment of accuracy and reproducibility between magnetic resonance scanners.

Authors:  Fabio S Raman; Nadine Kawel-Boehm; Neville Gai; Melanie Freed; Jing Han; Chia-Ying Liu; Joao A C Lima; David A Bluemke; Songtao Liu
Journal:  J Cardiovasc Magn Reson       Date:  2013-07-26       Impact factor: 5.364

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  9 in total

1.  Quantitative T1 and T2* carotid atherosclerotic plaque imaging using a three-dimensional multi-echo phase-sensitive inversion recovery sequence: a feasibility study.

Authors:  Yasuhiro Fujiwara; Hirotoshi Maruyama; Kanako Toyomaru; Yuri Nishizaka; Masahiro Fukamatsu
Journal:  Radiol Phys Technol       Date:  2018-03-06

2.  Simultaneous T1 and T2 mapping of the carotid plaque (SIMPLE) with T2 and inversion recovery prepared 3D radial imaging.

Authors:  Haikun Qi; Jie Sun; Huiyu Qiao; Xihai Zhao; Rui Guo; Niranjan Balu; Chun Yuan; Huijun Chen
Journal:  Magn Reson Med       Date:  2018-05-25       Impact factor: 4.668

3.  Fabrication of Customizable Intraplaque Hemorrhage Phantoms for Magnetic Resonance Imaging.

Authors:  Matteo A Bomben; Alan R Moody; James M Drake; Naomi Matsuura
Journal:  Mol Imaging Biol       Date:  2022-04-29       Impact factor: 3.484

Review 4.  Carotid plaque imaging and the risk of atherosclerotic cardiovascular disease.

Authors:  Guangming Zhu; Jason Hom; Ying Li; Bin Jiang; Fatima Rodriguez; Dominik Fleischmann; David Saloner; Michele Porcu; Yanrong Zhang; Luca Saba; Max Wintermark
Journal:  Cardiovasc Diagn Ther       Date:  2020-08

5.  Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score.

Authors:  Wenchao Hu; Xiangjun Wu; Di Dong; Long-Biao Cui; Min Jiang; Jibin Zhang; Yabin Wang; Xinjiang Wang; Lei Gao; Jie Tian; Feng Cao
Journal:  Int J Cardiovasc Imaging       Date:  2020-06-03       Impact factor: 2.357

6.  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

7.  Free-running 3D whole heart myocardial T1 mapping with isotropic spatial resolution.

Authors:  Haikun Qi; Olivier Jaubert; Aurelien Bustin; Gastao Cruz; Huijun Chen; René Botnar; Claudia Prieto
Journal:  Magn Reson Med       Date:  2019-05-17       Impact factor: 4.668

8.  A novel sequence for simultaneous measurement of whole-brain static and dynamic MRA, intracranial vessel wall image, and T1 -weighted structural brain MRI.

Authors:  Zhensen Chen; Zechen Zhou; Haikun Qi; Huijun Chen; Baocheng Chu; Thomas S Hatsukami; Chun Yuan; Niranjan Balu
Journal:  Magn Reson Med       Date:  2020-08-01       Impact factor: 4.668

Review 9.  Magnetic resonance imaging of carotid plaques: current status and clinical perspectives.

Authors:  Mohamed Kassem; Alexandru Florea; Felix M Mottaghy; Robert van Oostenbrugge; M Eline Kooi
Journal:  Ann Transl Med       Date:  2020-10
  9 in total

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