Literature DB >> 27541684

Change in Carotid Intraplaque Hemorrhage in Community-dwelling Subjects: A Follow-up Study Using Serial MR Imaging.

Quirijn J A van den Bouwhuijsen1, Mariana Selwaness1, Hui Tang1, Wiro J Niessen1, Albert Hofman1, Oscar H Franco1, Aad van der Lugt1, Meike W Vernooij1.   

Abstract

Purpose To investigate intraplaque hemorrhage (IPH) development and change over time. Materials and Methods Institutional review board approval and written informed consent from all participants were obtained. From a population-based study on subclinical atherosclerosis, 40 participants with IPH at baseline magnetic resonance (MR) imaging (53 carotids with IPH) were randomly selected and were matched with 27 control subjects (53 carotids without IPH) to undergo a second MR examination (mean interval, 17 months ± 4 [standard deviation]) to assess IPH change. IPH volume change was evaluated by using both a visual rating scale and an automated volumetric segmentation tool. Cardiovascular risk factors for IPH volume change were investigated with linear regression analyses. Results IPH remained present in 50 (94%) of the 53 carotids with IPH at baseline, and it developed in five (7%) of the 40 carotids without IPH at baseline. Visual progression of IPH volume was present in 14 (26%) of the 53 carotids with IPH at baseline, and regression was present in 16 (30%). Mean quantitative change in IPH volume was -13.7 mm3 ± 62.6 per year of follow-up. Male sex (men vs women, 37.7 mm3; 95% confidence interval [CI]: 11.0, 64.4; P = .006), smoking (smokers vs nonsmokers, 45.2 mm3; 95% CI: 7.1, 83.4; P = .020), and hypertension (subjects with hypertension vs those without hypertension, 32.5 mm3; 95% CI: 7.7, 57.2; P = .010) were associated with IPH volume change. Conclusion During 17 months of follow-up, both visual progression and regression of IPH volume occurs, whereas quantitatively IPH volume decreases. This suggests that IPH is a dynamic process with potential for either growth or resolution over time. © RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 27541684     DOI: 10.1148/radiol.2016151806

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


  10 in total

1.  Characterization of Carotid Plaque Components by Quantitative Susceptibility Mapping.

Authors:  M Azuma; K Maekawa; A Yamashita; K Yokogami; M Enzaki; Z A Khant; H Takeshima; Y Asada; Y Wang; T Hirai
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-26       Impact factor: 3.825

2.  The Rotterdam Study: 2018 update on objectives, design and main results.

Authors:  M Arfan Ikram; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Stricker; Henning Tiemeier; André G Uitterlinden; Meike W Vernooij; Albert Hofman
Journal:  Eur J Epidemiol       Date:  2017-10-24       Impact factor: 8.082

3.  Segment-specific progression of carotid artery atherosclerosis: a magnetic resonance vessel wall imaging study.

Authors:  Fei Yuan; Lichen Zhang; Peng Peng; Huiyu Qiao; Jianming Cai; Xihai Zhao
Journal:  Neuroradiology       Date:  2019-11-13       Impact factor: 2.804

4.  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

5.  Semiautomatic carotid intraplaque hemorrhage volume measurement using 3D carotid MRI.

Authors:  Jin Liu; Jie Sun; Niranjan Balu; Marina S Ferguson; Jinnan Wang; William S Kerwin; Daniel S Hippe; Amy Wang; Thomas S Hatsukami; Chun Yuan
Journal:  J Magn Reson Imaging       Date:  2019-03-12       Impact factor: 4.813

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

Authors:  Haikun Qi; Jie Sun; Huiyu Qiao; Shuo Chen; Zechen Zhou; Xinlei Pan; Yishi Wang; Xihai Zhao; Rui Li; Chun Yuan; Huijun Chen
Journal:  Radiology       Date:  2017-11-08       Impact factor: 11.105

7.  Microvasculature and intraplaque hemorrhage in atherosclerotic carotid lesions: a cardiovascular magnetic resonance imaging study.

Authors:  Geneviève A J C Crombag; Floris H B M Schreuder; Raf H M van Hoof; Martine T B Truijman; Nicky J A Wijnen; Stefan A Vöö; Patty J Nelemans; Sylvia Heeneman; Paul J Nederkoorn; Jan-Willem H Daemen; Mat J A P Daemen; Werner H Mess; J E Wildberger; Robert J van Oostenbrugge; M Eline Kooi
Journal:  J Cardiovasc Magn Reson       Date:  2019-03-04       Impact factor: 5.364

8.  Objectives, design and main findings until 2020 from the Rotterdam Study.

Authors:  M Arfan Ikram; Guy Brusselle; Mohsen Ghanbari; André Goedegebure; M Kamran Ikram; Maryam Kavousi; Brenda C T Kieboom; Caroline C W Klaver; Robert J de Knegt; Annemarie I Luik; Tamar E C Nijsten; Robin P Peeters; Frank J A van Rooij; Bruno H Stricker; André G Uitterlinden; Meike W Vernooij; Trudy Voortman
Journal:  Eur J Epidemiol       Date:  2020-05-04       Impact factor: 8.082

9.  Predictors of Progression in Intraplaque Hemorrhage Volume in Patients With Carotid Atherosclerosis: A Serial Magnetic Resonance Imaging Study.

Authors:  Lu Mingming; Peng Peng; Zhang Lichen; Liu Shaohua; Yuan Fei; Zhang Hongtao; Liu Shitong; He Yao; Zhao Xihai; Cai Jianming
Journal:  Front Neurol       Date:  2022-07-15       Impact factor: 4.086

10.  Quantification of Carotid Intraplaque Hemorrhage: Comparison between Manual Segmentation and Semi-Automatic Segmentation on Magnetization-Prepared Rapid Acquisition with Gradient-Echo Sequences.

Authors:  Young Ju Song; Hyo Sung Kwak; Gyung Ho Chung; Seongil Jo
Journal:  Diagnostics (Basel)       Date:  2019-11-11
  10 in total

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