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



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.


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.


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).


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.


Stroke Magnetic resonance imaging Magnetic resonance angiography 



Computed tomography


Diffusion-weighted imaging


Echo-planar imaging


FLAIR using echo-planar imaging


GRE using echo-planar imaging


FLAIR with increased echo train length


Contrast-enhanced MRA with increased acceleration factor and slice thickness


Fluid-attenuated inversion recovery


Gradient echo T2*-weighted imaging


Magnetic resonance angiography


Magnetic resonance imaging


GRE with increased acceleration factor


Perfusion-weighted imaging



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


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.


• 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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