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European Radiology

, Volume 29, Issue 5, pp 2641–2650 | Cite as

Reliability of fast magnetic resonance imaging for acute ischemic stroke patients using a 1.5-T scanner

  • Mi Sun Chung
  • Ji Ye Lee
  • Seung Chai JungEmail author
  • Seunghee Baek
  • Woo Hyun Shim
  • Ji Eun Park
  • Ho Sung Kim
  • Choong Gon Choi
  • Sang Joon Kim
  • Deok Hee Lee
  • Sang-Beom Jeon
  • Dong-Wha Kang
  • Sun U. Kwon
  • Jong S. Kim
Neuro
  • 127 Downloads

Abstract

Objectives

To determine whether fast scanned MRI using a 1.5-T scanner is a reliable method for the detection and characterization of acute ischemic stroke in comparison with conventional MRI.

Methods

From May 2015 to June 2016, 862 patients (FLAIR, n = 482; GRE, n = 380; MRA, n = 190) were prospectively enrolled in the study, with informed consent and under institutional review board approval. The patients underwent both fast (EPI-FLAIR, ETL-FLAIR, TR-FLAIR, EPI-GRE, parallel-GRE, fast CE-MRA) and conventional MRI (FLAIR, GRE, time-of-flight MRA, fast CE-MRA). Two neuroradiologists independently assessed agreements in acute and chronic ischemic hyperintensity, hyperintense vessels (FLAIR), microbleeds, susceptibility vessel signs, hemorrhagic transformation (GRE), stenosis (MRA), and image quality (all MRI), between fast and conventional MRI. Agreements between fast and conventional MRI were evaluated by generalized estimating equations. Z-scores were used for comparisons of the percentage agreement among fast FLAIR sequences and fast GRE sequences and between conventional and fast MRA.

Results

Agreements of more than 80% were achieved between fast and conventional MRI (ETL-FLAIR, 96%; TR-FLAIR, 97%; EPI-GRE, 96%; parallel-GRE, 98%; fast CE-MRA, 86%). ETL- and TR-FLAIR were significantly superior to EPI-FLAIR in the detection of acute ischemic hyperintensity and hyperintense vessels, while parallel-GRE was significantly superior to EPI-GRE in the detection of susceptibility vessel sign (p value < 0.05 for all). There were no significant differences in the other scores and image qualities (p value > 0.05).

Conclusions

Fast MRI at 1.5 T is a reliable method for the detection and characterization of acute ischemic stroke in comparison with conventional MRI.

Key Points

• Fast MRI at 1.5 T may achieve a high intermethod reliability in the detection and characterization of acute ischemic stroke with a reduction in scan time in comparison with conventional MRI.

Keywords

Stroke Magnetic resonance imaging Magnetic resonance angiography 

Abbreviations

CT

Computed tomography

DWI

Diffusion-weighted imaging

EPI

Echo-planar imaging

EPI-FLAIR

FLAIR using echo-planar imaging

EPI-GRE

GRE using echo-planar imaging

ETL-FLAIR

FLAIR with increased echo train length

Fast CE-MRA

Contrast-enhanced MRA with increased acceleration factor and slice thickness

FLAIR

Fluid-attenuated inversion recovery

GRE

Gradient echo T2*-weighted imaging

MRA

Magnetic resonance angiography

MRI

Magnetic resonance imaging

Parallel-GRE

GRE with increased acceleration factor

PWI

Perfusion-weighted imaging

Notes

Funding

This study has received funding by the Korea Healthcare Technology R&D Project, Ministry for Health, Welfare & Family Affairs, Republic of Korea (HI12C1847).

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Sang Joon Kim.

Conflict of interest

The authors declare that they have no conflict of interest.

Statistics and biometry

One of the authors (S Baek) has significant statistical expertise.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• Prospective

• Diagnostic study

• Performed at one institution

Supplementary material

330_2018_5812_MOESM1_ESM.docx (998 kb)
ESM 1 (DOCX 997 kb)

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Copyright information

© European Society of Radiology 2018

Authors and Affiliations

  • Mi Sun Chung
    • 1
  • Ji Ye Lee
    • 2
  • Seung Chai Jung
    • 3
    Email author
  • Seunghee Baek
    • 4
  • Woo Hyun Shim
    • 3
  • Ji Eun Park
    • 3
  • Ho Sung Kim
    • 3
  • Choong Gon Choi
    • 3
  • Sang Joon Kim
    • 3
  • Deok Hee Lee
    • 3
  • Sang-Beom Jeon
    • 5
  • Dong-Wha Kang
    • 5
  • Sun U. Kwon
    • 5
  • Jong S. Kim
    • 5
  1. 1.Department of RadiologyChung-Ang University HospitalSeoulSouth Korea
  2. 2.Department of RadiologySoonchunhyang University Bucheon HospitalBucheonSouth Korea
  3. 3.Department of Radiology and Research Institute of Radiology, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulSouth Korea
  4. 4.Department of Clinical Epidemiology and Biostatistics, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulSouth Korea
  5. 5.Department of Neurology, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulSouth Korea

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