Volume 52, Issue 2 pp. 534-541
Original Research

Quantitative Susceptibility Mapping for Characterization of Intraplaque Hemorrhage and Calcification in Carotid Atherosclerotic Disease

Chaoyue Wang MSc

Chaoyue Wang MSc

Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China

Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK

Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK

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Yue Zhang MS

Yue Zhang MS

Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China

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Jingwen Du MS

Jingwen Du MS

Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China

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István N. Huszár MD

István N. Huszár MD

Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK

Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK

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Saifeng Liu PhD

Saifeng Liu PhD

Magnetic Resonance Imaging Institute for Biomedical Research, Bingham Farms, Michigan, USA

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Yongsheng Chen PhD

Yongsheng Chen PhD

Magnetic Resonance Imaging Institute for Biomedical Research, Bingham Farms, Michigan, USA

Department of Radiology, Wayne State University, Detroit, Michigan, USA

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Sagar Buch PhD

Sagar Buch PhD

Center for Functional and Metabolic Mapping, Robarts' Research Institute, Western University, London, Ontario, Canada

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Fang Wu MD

Fang Wu MD

Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China

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Yuehong Liu MS

Yuehong Liu MS

Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China

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Mark Jenkinson PhD

Mark Jenkinson PhD

Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK

Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK

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Charlie Chia-Tsong Hsu PhD

Charlie Chia-Tsong Hsu PhD

Gold Coast University Hospital, Southport, Queensland, Australia

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Zhaoyang Fan PhD

Zhaoyang Fan PhD

Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, California, USA

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E. Mark Haacke PhD

E. Mark Haacke PhD

Magnetic Resonance Imaging Institute for Biomedical Research, Bingham Farms, Michigan, USA

Department of Radiology, Wayne State University, Detroit, Michigan, USA

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Qi Yang MD, PhD

Corresponding Author

Qi Yang MD, PhD

Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China

Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, California, USA

Address reprints requests to: Q. Yang, MD, PhD, Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China. E-mail: [email protected]Search for more papers by this author
First published: 10 February 2020
Citations: 16

Abstract

Background

Carotid artery intraplaque hemorrhage (IPH), an unstable component of atherosclerosis, is associated with an increased risk of stroke.

Purpose

To investigate quantitative susceptibility mapping (QSM) as a tool for the evaluation of IPH and calcification in vivo.

Study Type

Prospective.

Population

Ten healthy volunteers and 15 patients.

Field Strength/Sequence

3.0T Susceptibility-weighted imaging (SWI), magnetization-prepared rapid acquisition with gradient echo (MP-RAGE), T1-weighted sampling perfection with application of optimized contrasts using different flip angle evolution (T1-SPACE), T2-weighted turbo spin-echo (T2WI), and time-of-flight (TOF) sequences.

Assessment

The vessel wall area of the carotid artery was measured with QSM and compared with T1-SPACE on healthy volunteers. Four radiologists, blinded to clinical history and patient identity, determined the presence and area of IPH on MP-RAGE and QSM, as well as the area of calcification on T1-SPACE and QSM.

Statistical Tests

Bland–Altman analysis, Pearson correlation coefficients, linear regression analyses were performed to evaluate the concordance of area measurements. Cohen's kappa (κ) was analyzed to determine the agreement between IPH detections. The paired t-test was used to compare the group differences.

Results

In 423 matched slices, 20.1% (85/423) and 19.6% (83/423) were detected to have IPH on MP-RAGE and QSM, respectively. IPH detection by QSM and MP-RAGE showed good agreement (κ = 0.822, P < 0.001) between the two methods. There was no significant difference in IPH area measurements between QSM and MP-RAGE (7.28 mm2 ± 6.41 vs. 7.16 mm2 ± 5.99, P = 0.575). There was no significant difference in calcification area measurement between QSM and T1-SPACE (3.51 mm2 ± 1.78 vs. 3.41 mm2 ± 2.02, P = 0.783).

Data Conclusion

QSM is a novel imaging tool for the identification of IPH in patients with carotid atherosclerosis and enables differentiation of IPH and calcification.

Evidence Level

1

Technical Efficacy

Stage 1 J. Magn. Reson. Imaging 2020;52:534–541.

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