Literature DB >> 28730268

Detection of vessel wall calcifications in vertebral arteries using susceptibility weighted imaging.

Lisa C Adams1, Sarah M Böker2, Yvonne Y Bender2, Eva M Fallenberg3, Moritz Wagner2, Thomas Liebig4, Bernd Hamm2, Marcus R Makowski2.   

Abstract

PURPOSE: Calcification of the brain supplying arteries has been linked to an increased risk for cerebrovascular disease. The purpose of this study was to test the potential of susceptibility weighted MR imaging (SWMR) for the detection of vertebral artery calcifications, based on CT as a reference standard.
METHODS: Four hundred seventy-four patients, who had received head CT and 1.5 T MR scans with SWMR, including the distal vertebral artery, between January 2014 and December 2016, were retrospectively evaluated and 389 patients were included. Sensitivity and specificity for the detection of focal calcifications and intra- and interobserver agreement were calculated for SWMR and standard MRI, using CT as a standard of reference. The diameter of vertebral artery calcifications was used to assess correlations between imaging modalities. Furthermore, the degree of vessel stenosis was determined in 30 patients, who had received an additional angiography.
RESULTS: On CT scans, 40 patients showed a total of 52 vertebral artery calcifications. While SWMR reached a sensitivity of 94% (95% CI 84-99%) and a specificity of 97% (95% CI 94-98%), standard MRI yielded a sensitivity of 33% (95% CI 20-46%), and a specificity of 93% (95% CI 90-96%). Linear regression analysis of size measurements confirmed a close correlation between SWMR and CT measurements (R 2 = 0.74, p < 0.001). Compared to standard MRI (ICC = 0.52; CI 0.45-0.59), SWMR showed a higher interobserver agreement for calcification measurements (ICC = 0.84; CI 0.81-0.87).
CONCLUSIONS: For detection of distal vertebral artery calcifications, SWMR demonstrates a performance comparable to CT and considerably higher than conventional MRI.

Entities:  

Keywords:  Cerebrovascular risk; Stroke; Susceptibility weighted MRI; Vertebral artery calcification; Vertebral artery stenosis

Mesh:

Substances:

Year:  2017        PMID: 28730268     DOI: 10.1007/s00234-017-1878-z

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  43 in total

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2.  Conventional T2-Weighted Imaging to Detect High-Grade Stenosis and Occlusion of Internal Carotid Artery, Vertebral Artery, and Basilar Artery.

Authors:  Qian Li; Cheng-Lin Tian; Ya-Wen Yang; Xin Lou; Sheng-Yuan Yu
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3.  Role of a stroke data bank in evaluating cerebral infarction subtypes: patterns and outcome of 1,776 consecutive patients from the Besançon stroke registry.

Authors:  T Moulin; L Tatu; F Vuillier; E Berger; D Chavot; L Rumbach
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4.  Detection of intracranial atherosclerotic steno-occlusive disease with 3D time-of-flight magnetic resonance angiography with sensitivity encoding at 3T.

Authors:  C G Choi; D H Lee; J H Lee; H W Pyun; D W Kang; S U Kwon; J K Kim; S J Kim; D C Suh
Journal:  AJNR Am J Neuroradiol       Date:  2007-03       Impact factor: 3.825

5.  Intracranial carotid artery calcification on head CT and its association with ischemic changes on brain MRI in patients presenting with stroke-like symptoms: retrospective analysis.

Authors:  S Erbay; R Han; S Baccei; W Krakov; K H Zou; R Bhadelia; J Polak
Journal:  Neuroradiology       Date:  2006-11-07       Impact factor: 2.804

6.  New England Medical Center Posterior Circulation registry.

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Review 7.  Susceptibility-weighted imaging: clinical angiographic applications.

Authors:  Samuel R S Barnes; E Mark Haacke
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Review 8.  Diagnostic accuracy of magnetic resonance angiography for internal carotid artery disease: a systematic review and meta-analysis.

Authors:  Sarah M Debrey; Hua Yu; John K Lynch; Karl-Olof Lövblad; Violet L Wright; Sok-Ja D Janket; Alison E Baird
Journal:  Stroke       Date:  2008-06-12       Impact factor: 7.914

9.  Intramural hematoma detection by susceptibility-weighted imaging in intracranial vertebral artery dissection.

Authors:  Tae-Won Kim; Hyun Seok Choi; Jaseong Koo; So Lyung Jung; Kook-Jin Ahn; Bum-Soo Kim; Yong Sam Shin; Kwang Soo Lee
Journal:  Cerebrovasc Dis       Date:  2013-10-16       Impact factor: 2.762

10.  Co-existing intracranial and extracranial carotid artery atherosclerotic plaques and recurrent stroke risk: a three-dimensional multicontrast cardiovascular magnetic resonance study.

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Journal:  J Cardiovasc Magn Reson       Date:  2016-12-02       Impact factor: 5.364

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Review 2.  Arterial Calcification and Its Association With Stroke: Implication of Risk, Prognosis, Treatment Response, and Prevention.

Authors:  Xiang Wang; Xinghang Chen; Zhuohui Chen; Mengqi Zhang
Journal:  Front Cell Neurosci       Date:  2022-05-11       Impact factor: 6.147

3.  Quantitative Susceptibility Mapping for Carotid Atherosclerotic Plaques: A Pilot Study.

Authors:  Yohei Ikebe; Hideki Ishimaru; Hiroshi Imai; Kuniko Abe; Tsuyoshi Izumo; Yoichi Morofuji; Reiko Ideguchi; Minoru Morikawa; Masataka Uetani
Journal:  Magn Reson Med Sci       Date:  2019-05-31       Impact factor: 2.471

  3 in total

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