Literature DB >> 20466799

Carotid atherosclerotic calcification does not result in high signal intensity in MR imaging of intraplaque hemorrhage.

R Bitar1, A R Moody, S Symons, G Leung, S Crisp, A Kiss, A Nelson, R Maggisano.   

Abstract

BACKGROUND AND
PURPOSE: Calcium can potentially shorten T1, generating high signal intensity in GREs. Because IPH appears as high signal intensity in MRIPH and the surface effects of calcium can potentially shorten T1 of surrounding water protons, the purpose of this study was to evaluate whether the high signal intensity seen on MRIPH could be attributed solely to IPH and not calcification.
MATERIALS AND METHODS: Eleven patients undergoing carotid endarterectomy were imaged by using MRIPH. Calcification was assessed by scanning respective endarterectomy specimens with a tabletop MicroCT. MRIPH/MicroCT correlation used an 8-segment template. Two readers evaluated images from both modalities. Agreement between MRIPH/MicroCT was measured by calculating Cohen κ.
RESULTS: High signal intensity was seen in 58.8% and 68.9% (readers 1 and 2, respectively) of MRIPH segments, whereas calcification was seen in 44.7% and 32.1% (readers 1 and 2, respectively) of MicroCT segments. High signal intensity seen by MRIPH showed very good but inverse agreement to calcification (κ = -0.90; P < .0001, 95% CI, -0.93 to -0.86, reader 1; and κ = -0.74; P < .0001; 95% CI, -0.81 to -0.69, reader 2). Most interesting, high signal intensity demonstrated excellent agreement with lack of calcification on MicroCT (κ = 0.92; P < .0001; 95% CI, 0.89-0.94, reader 1; and κ = 0.97; P < .0001; 95% CI, 0.96-0.99, reader 2). In a very small number of segments, high signal intensity was seen in MRIPH, and calcification was seen on MicroCT; however, these represented a very small proportion of segments with high signal intensity (5.9% and 1.6%, readers 1 and 2, respectively).
CONCLUSIONS: High signal intensity, therefore, reliably identified IPH, known to describe complicated plaque, rather than calcification, which is increasingly recognized as identifying more stable vascular disease.

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Year:  2010        PMID: 20466799      PMCID: PMC7966088          DOI: 10.3174/ajnr.A2126

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  34 in total

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6.  In vivo 3D high-spatial-resolution MR imaging of intraplaque hemorrhage.

Authors:  Richard Bitar; Alan R Moody; General Leung; Sean Symons; Susan Crisp; Jagdish Butany; Corwyn Rowsell; Alexander Kiss; Andrew Nelson; Robert Maggisano
Journal:  Radiology       Date:  2008-10       Impact factor: 11.105

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Journal:  Arterioscler Thromb Vasc Biol       Date:  2004-05-20       Impact factor: 8.311

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Authors:  Sharon E Clarke; Robert R Hammond; J Ross Mitchell; Brian K Rutt
Journal:  Magn Reson Med       Date:  2003-12       Impact factor: 4.668

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  3 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

Review 2.  Imaging Atherosclerotic Plaque Calcification: Translating Biology.

Authors:  Grant Bailey; Judith Meadows; Alan R Morrison
Journal:  Curr Atheroscler Rep       Date:  2016-08       Impact factor: 5.113

Review 3.  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

  3 in total

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