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Atherosclerosis. 2016 Jun;249:10-6. doi: 10.1016/j.atherosclerosis.2016.03.033. Epub 2016 Mar 30.

Ex-vivo imaging and plaque type classification of intracranial atherosclerotic plaque using high resolution MRI.

Author information

1
Department of Radiology, Changhai Hospital, Shanghai, China.
2
Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA. Electronic address: Chengcheng.Zhu@ucsf.edu.
3
Department of Radiology, University of Pittsburgh, Pittsburgh, USA.
4
Department of Pathology, Changhai Hospital, Shanghai, China.
5
Department of Radiology, University of Cambridge, Cambridge, UK.
6
Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA.
7
Department of Radiology, Changhai Hospital, Shanghai, China. Electronic address: cjr.lujianping@vip.163.com.

Abstract

BACKGROUND AND AIMS:

Recent development of high resolution MRI techniques have enabled imaging of intracranial atherosclerotic plaque in vivo. However, identifying plaque composition remains challenging given the small size and the lack of histological validation. This study aims to quantify the relaxation times of intracranial plaque components ex vivo at 3 T and to determine whether multi-contrast MRI could classify intracranial plaque according to the American Heart Association classification with histological validation.

METHODS:

A total of 53 intracranial arteries with atherosclerotic plaques from 20 cadavers (11 male, age 73.8 ± 10.9) were excised. Quantitative T1/T2/T2* mapping sequences and multi-contrast fast-spin echo sequences (T1, T2, proton-density weighted and short time inversion recovery) were acquired. Plaque components including: fibrous cap, lipid core, fibrous tissue, calcification, and healthy wall were segmented on histology, and their relaxation times were derived from quantitative images. Two radiologists independently classified plaque type blinded to the histology results.

RESULTS:

Relaxation times of plaque components are distinct and different. T2 and T2* values of lipid core are lower than fibrous cap (p = 0.026 & p < 0.0001), but are comparable with fibrous tissue and healthy wall (p = 0.76 & p = 0.42). MRI reliably classified plaque type compared with histology (κ = 0.69) with an overall accuracy of 80.7%. The sensitivity and specificity using MRI to identify fibro-lipid atheroma (type IV-V) was 94.8% and 77.1%, respectively. Inter-observer agreement was excellent (κ = 0.77).

CONCLUSION:

Intracranial plaque components have distinct and different relaxation times at 3 T. High-resolution MRI is able to characterize intracranial plaque composition and classify plaque types ex vivo at 3 T.

KEYWORDS:

Atherosclerosis; Ex-vivo; Magnetic resonance imaging; Stroke; Vessel wall imaging

[Indexed for MEDLINE]
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