Literature DB >> 18504754

Comparison of single-sequence T1w TFE MRI with multisequence MRI for the quantification of lipid-rich necrotic core in atherosclerotic plaque.

Vincent C Cappendijk1, Sylvia Heeneman, Alfons G H Kessels, Kitty B J M Cleutjens, Geert Willem H Schurink, Rob J Th J Welten, Werner H Mess, Robert-Jan van Suylen, Tim Leiner, Mat J A P Daemen, Jos M A van Engelshoven, M Eline Kooi.   

Abstract

PURPOSE: To prospectively determine the accuracy of semiquantitative analysis of the amount of lipid-rich necrotic core (LRNC) in atherosclerotic plaque using multi- as well as single-sequence T1-weighted (w) turbo field echo (TFE) MRI. Histology served as a reference standard.
MATERIALS AND METHODS: Sixty-four symptomatic patients with carotid stenosis > or =70% were included and underwent endarterectomy after an MRI scan. Two MRI readers classified relative signal intensities in regions of interest in the vessel wall. The amount of LRNC was determined semiquantitatively using an algorithm based on fixed combinations of multiple MR pulse sequences as well as solely based on T1w TFE images. Interreader agreement was expressed by intraclass correlation coefficients (ICCs). Agreement between MRI and histology was determined by linear regression (R).
RESULTS: Interreader reproducibility for quantification of LRNC was high (ICC, 95% confidence interval [CI]): multisequence 0.86 (0.77-0.94), and single sequence 0.91 (0.85-0.95). There was good agreement between MRI and histology for both MR readers for quantification based on multisequence as well as single sequence MRI, 0.80 < or = R < or = 0.85 (P < 0.0001).
CONCLUSION: The amount of LRNC using single-sequence T1w TFE MRI is a reproducible, accurate, and fast way to quantify LRNC in carotid atherosclerotic plaque. 2008 Wiley-Liss, Inc

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Year:  2008        PMID: 18504754     DOI: 10.1002/jmri.21360

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


  11 in total

1.  Carotid plaque signal differences among four kinds of T1-weighted magnetic resonance imaging techniques: a histopathological correlation study.

Authors:  Ayumi Saito; Makoto Sasaki; Kuniaki Ogasawara; Masakazu Kobayashi; Jiro Hitomi; Shinsuke Narumi; Hideki Ohba; Mao Yamaguchi; Kohsuke Kudo; Yasuo Terayama
Journal:  Neuroradiology       Date:  2012-03-17       Impact factor: 2.804

Review 2.  Recent developments and new perspectives on imaging of atherosclerotic plaque: role of anatomical, cellular and molecular MRI Part I and II.

Authors:  Bernard C M te Boekhorst; Maarten J Cramer; Gerard Pasterkamp; Cees J A van Echteld; Pieter A F M Doevendans
Journal:  Int J Cardiovasc Imaging       Date:  2010-01-29       Impact factor: 2.357

3.  In vivo semi-automatic segmentation of multicontrast cardiovascular magnetic resonance for prospective cohort studies on plaque tissue composition: initial experience.

Authors:  Taku Yoneyama; Jie Sun; Daniel S Hippe; Niranjan Balu; Dongxiang Xu; William S Kerwin; Thomas S Hatsukami; Chun Yuan
Journal:  Int J Cardiovasc Imaging       Date:  2015-07-14       Impact factor: 2.357

4.  Hemorrhage and large lipid-rich necrotic cores are independently associated with thin or ruptured fibrous caps: an in vivo 3T MRI study.

Authors:  Hideki Ota; Wei Yu; Hunter R Underhill; Minako Oikawa; Li Dong; Xihai Zhao; Nayak L Polissar; Blazej Neradilek; Tianli Gao; Zhuo Zhang; Zixu Yan; Miao Guo; Zhaoqi Zhang; Thomas S Hatsukami; Chun Yuan
Journal:  Arterioscler Thromb Vasc Biol       Date:  2009-07-16       Impact factor: 8.311

5.  Carotid magnetic resonance imaging for monitoring atherosclerotic plaque progression: a multicenter reproducibility study.

Authors:  Jie Sun; Xue-Qiao Zhao; Niranjan Balu; Daniel S Hippe; Thomas S Hatsukami; Daniel A Isquith; Kiyofumi Yamada; Moni B Neradilek; Gádor Cantón; Yunjing Xue; Jerome L Fleg; Patrice Desvigne-Nickens; Michael T Klimas; Robert J Padley; Maria T Vassileva; Bradley T Wyman; Chun Yuan
Journal:  Int J Cardiovasc Imaging       Date:  2014-09-13       Impact factor: 2.357

6.  Multi-contrast atherosclerosis characterization (MATCH) of carotid plaque with a single 5-min scan: technical development and clinical feasibility.

Authors:  Zhaoyang Fan; Wei Yu; Yibin Xie; Li Dong; Lixin Yang; Zhanhong Wang; Antonio Hernandez Conte; Xiaoming Bi; Jing An; Tianjing Zhang; Gerhard Laub; Prediman Krishan Shah; Zhaoqi Zhang; Debiao Li
Journal:  J Cardiovasc Magn Reson       Date:  2014-07-25       Impact factor: 5.364

Review 7.  Advanced MRI for carotid plaque imaging.

Authors:  Navneet Singh; Alan R Moody; Idan Roifman; David A Bluemke; Anna E H Zavodni
Journal:  Int J Cardiovasc Imaging       Date:  2015-08-21       Impact factor: 2.357

8.  Plaque Composition as a Predictor of Plaque Ulceration in Carotid Artery Atherosclerosis: The Plaque At RISK Study.

Authors:  K Dilba; D H K van Dam-Nolen; A C van Dijk; M Kassem; A F W van der Steen; P J Koudstaal; P J Nederkoorn; J Hendrikse; M E Kooi; J J Wentzel; A van der Lugt
Journal:  AJNR Am J Neuroradiol       Date:  2020-11-19       Impact factor: 3.825

9.  Advantage in Bright-blood and Black-blood Magnetic Resonance Imaging with High-resolution for Analysis of Carotid Atherosclerotic Plaques.

Authors:  Mei Li; Wei-Jie Le; Xiao-Feng Tao; Ming-Hua Li; Yue-Hua Li; Nan Qu
Journal:  Chin Med J (Engl)       Date:  2015-09-20       Impact factor: 2.628

10.  Negative Carotid Artery Remodeling in Early Type 2 Diabetes Mellitus and Increased Carotid Plaque Vulnerability in Obesity as Assessed by Magnetic Resonance Imaging.

Authors:  Esben Laugesen; Pernille Høyem; Samuel Thrysoe; Esben Søvsø Szocska Hansen; Anders F Stegmann Mikkelsen; William S Kerwin; Per L Poulsen; Troels K Hansen; W Yong Kim
Journal:  J Am Heart Assoc       Date:  2018-08-21       Impact factor: 5.501

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