Literature DB >> 29098439

Identification of intraplaque haemorrhage in carotid artery by simultaneous non-contrast angiography and intraPlaque haemorrhage (SNAP) imaging: a magnetic resonance vessel wall imaging study.

Dongye Li1, Huilin Zhao2, Xiaoyi Chen1,3, Shuo Chen3, Huiyu Qiao3, Le He3, Rui Li3, Jianrong Xu2, Chun Yuan3,4, Xihai Zhao5,6.   

Abstract

OBJECTIVES: To investigate the usefulness of Simultaneous Non-contrast Angiography and intraPlaque haemorrhage (SNAP) imaging in characterising carotid intraplaque haemorrhage (IPH) compared with magnetisation-prepared rapid acquisition gradient-echo (MP-RAGE) sequence.
METHODS: Fifty-four symptomatic patients (mean age: 63.1 ± 5.7 years, 38 males) with carotid atherosclerosis were recruited and underwent carotid MR imaging. The presence and area of IPH on SNAP and MP-RAGE images were determined. The agreement in identifying IPH and its area between SNAP and MP-RAGE was analysed.
RESULTS: Of 1368 slices with acceptable image quality in 54 patients, 13% and 22.6% were found to have IPH on MP-RAGE and SNAP images, respectively. There was moderate agreement between MP-RAGE and SNAP sequences in identifying IPH (κ = 0.511, p = 0.029). The area of IPH on SNAP images was significantly larger than that on MP-RAGE images (17.9 ± 18.2 mm2 vs. 9.2 ± 10.5 mm2, p < 0.001). For IPHs detected by SNAP imaging, the area of IPHs also detected by the MP-RAGE sequence was significantly larger than that of IPHs not detected by the MP-RAGE sequence (17.9 ± 19.2 mm2 vs. 6.4 ± 6.2 mm2, p < 0.001).
CONCLUSION: Compared with the MP-RAGE sequence, SNAP imaging detects more IPHs, particularly for smaller IPHs, suggesting that SNAP imaging might be a more sensitive tool for identification of carotid haemorrhagic plaques. KEY POINTS: • Moderate agreement was found between SNAP and MP-RAGE in identification of IPH • SNAP imaging might be a more sensitive tool to detect carotid IPHs • Compared with the MP-RAGE sequence, SNAP imaging can detect carotid IPHs with smaller size • SNAP imaging can help clinicians to optimise the treatment strategy.

Entities:  

Keywords:  Atherosclerosis; Carotid artery; Intraplaque haemorrhage (IPH); Magnetic resonance imaging; SNAP

Mesh:

Year:  2017        PMID: 29098439     DOI: 10.1007/s00330-017-5096-1

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  17 in total

1.  High-intensity signals in carotid plaques on T1-weighted magnetic resonance imaging predict coronary events in patients with coronary artery disease.

Authors:  Teruo Noguchi; Naoaki Yamada; Masahiro Higashi; Yoichi Goto; Hiroaki Naito
Journal:  J Am Coll Cardiol       Date:  2011-07-19       Impact factor: 24.094

2.  Simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) imaging for carotid atherosclerotic disease evaluation.

Authors:  Jinnan Wang; Peter Börnert; Huilin Zhao; Daniel S Hippe; Xihai Zhao; Niranjan Balu; Marina S Ferguson; Thomas S Hatsukami; Jianrong Xu; Chun Yuan; William S Kerwin
Journal:  Magn Reson Med       Date:  2012-03-22       Impact factor: 4.668

3.  Improved carotid intraplaque hemorrhage imaging using a slab-selective phase-sensitive inversion-recovery (SPI) sequence.

Authors:  Jinnan Wang; Marina S Ferguson; Niranjan Balu; Chun Yuan; Thomas S Hatsukami; Peter Börnert
Journal:  Magn Reson Med       Date:  2010-11       Impact factor: 4.668

4.  Embolic complications after carotid artery stenting or carotid endarterectomy are associated with tissue characteristics of carotid plaques evaluated by magnetic resonance imaging.

Authors:  Kiyofumi Yamada; Shinichi Yoshimura; Masanori Kawasaki; Yukiko Enomoto; Takahiko Asano; Akira Hara; Shinya Minatoguchi; Toru Iwama
Journal:  Atherosclerosis       Date:  2011-01-19       Impact factor: 5.162

5.  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

6.  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

7.  Moderate carotid artery stenosis: MR imaging-depicted intraplaque hemorrhage predicts risk of cerebrovascular ischemic events in asymptomatic men.

Authors:  Navneet Singh; Alan R Moody; David J Gladstone; General Leung; Radhakrishnan Ravikumar; James Zhan; Robert Maggisano
Journal:  Radiology       Date:  2009-06-09       Impact factor: 11.105

8.  Association between carotid plaque characteristics and subsequent ischemic cerebrovascular events: a prospective assessment with MRI--initial results.

Authors:  Norihide Takaya; Chun Yuan; Baocheng Chu; Tobias Saam; Hunter Underhill; Jianming Cai; Nam Tran; Nayak L Polissar; Carol Isaac; Marina S Ferguson; Gwenn A Garden; Steven C Cramer; Kenneth R Maravilla; Beverly Hashimoto; Thomas S Hatsukami
Journal:  Stroke       Date:  2006-02-09       Impact factor: 7.914

9.  Diffusion measurement of intraplaque hemorrhage and intramural hematoma using diffusion weighted MRI at 3T in cervical artery.

Authors:  Bin Yao; Li Yang; Guangbin Wang; Honglu Shi; Shanshan Wang; Huihua Li; Weibo Chen; Queenie Chan
Journal:  Eur Radiol       Date:  2015-12-15       Impact factor: 5.315

10.  Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection.

Authors:  Jin Liu; Niranjan Balu; Daniel S Hippe; Marina S Ferguson; Vanesa Martinez-Malo; J Kevin DeMarco; David C Zhu; Hideki Ota; Jie Sun; Dongxiang Xu; William S Kerwin; Thomas S Hatsukami; Chun Yuan
Journal:  J Cardiovasc Magn Reson       Date:  2016-07-16       Impact factor: 5.364

View more
  7 in total

1.  Association between age and progression of carotid artery atherosclerosis: a serial high resolution magnetic resonance imaging study.

Authors:  Mingming Lu; Peng Peng; Huiyu Qiao; Yuanyuan Cui; Lu Ma; Bao Cui; Jianming Cai; Xihai Zhao
Journal:  Int J Cardiovasc Imaging       Date:  2019-02-09       Impact factor: 2.357

2.  Signal of Carotid Intraplaque Hemorrhage on MR T1-Weighted Imaging: Association with Acute Cerebral Infarct.

Authors:  D Yang; Y Liu; Y Han; D Li; W Wang; R Li; C Yuan; X Zhao
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-09       Impact factor: 3.825

3.  Inter-rater and scan-rescan reproducibility of the detection of intracranial atherosclerosis on contrast-enhanced 3D vessel wall MRI.

Authors:  Mahmud Mossa-Basha; Hiroko Watase; Jie Sun; Dean K Shibata; Daniel S Hippe; Niranjan Balu; Thomas Hatsukami; Chun Yuan
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

4.  Atherosclerosis in stroke-related vascular beds and stroke risk: A 3-D MR vessel wall imaging study.

Authors:  Dongye Li; Wei Dai; Ying Cai; Yongjun Han; Guoen Yao; Huijun Chen; Chun Yuan; Lei Xiao; Xihai Zhao
Journal:  Ann Clin Transl Neurol       Date:  2018-10-22       Impact factor: 4.511

5.  High-resolution vessel wall magnetic resonance imaging for depicting imaging features of unruptured intracranial vertebrobasilar dissecting aneurysms.

Authors:  Binbin Sui; Xiaoyan Bai; Peiyi Gao; Yan Lin; Yisen Zhang; Jia Liang; Xinjian Yang
Journal:  J Int Med Res       Date:  2021-02       Impact factor: 1.671

6.  Association between Short-Term Blood Pressure Variability and Intracranial Atherosclerotic Plaque Vulnerability: A High-Resolution Magnetic Resonance Imaging Study.

Authors:  Xiaowei Song; Qiao Wei; Xihai Zhao; Duoduo Hou; Hongliang Zhao; Lixue Wang; Xiaofeng Zhang; Zhuozhao Zheng; Jian Wu
Journal:  J Atheroscler Thromb       Date:  2021-10-28       Impact factor: 4.394

7.  Extracranial carotid plaque hemorrhage predicts ipsilateral stroke recurrence in patients with carotid atherosclerosis - a study based on high-resolution vessel wall imaging MRI.

Authors:  Fengli Che; Donghua Mi; Anxin Wang; Yi Ju; Binbin Sui; Xiaokun Geng; Xihai Zhao; Xingquan Zhao
Journal:  BMC Neurol       Date:  2022-06-28       Impact factor: 2.903

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.