Jae W Song1, Athanasios Pavlou1, Jiayu Xiao2, Steven R Messe3, Scott E Kasner3, Zhaoyang Fan2, and Laurie A Loevner1
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, Cedars Sinai Medical Center, Los Angeles, CA, United States, 3Neurology, University of Pennsylvania, Philadelphia, PA, United States
Synopsis
Intracranial atherosclerosis is
a common cause of ischemic stroke. Variability in protocol/pulse sequence
design of intracranial vessel wall MR imaging (VWI) has led to different
imaging endpoints to detect and characterize atherosclerosis. We systematically
reviewed the literature to identify VWI investigations studying atherosclerosis
to identify commonly reported imaging endpoints. The most common imaging
endpoints using T1-weighting included wall enhancement, thickening, plaque
quadrant in cross-section, and stenosis; on T2-weighting, intraplaque T2 signal
intensity and wall thickening were common endpoints. Establishing
diagnostically accurate imaging endpoints to validate as atherosclerosis
biomarkers are critical to understand where efforts for technique optimization
should be directed.
Introduction
Intracranial
atherosclerosis remains one of the leading causes of ischemic stroke.1 Intracranial vessel wall MR
imaging (VWI) is used to help distinguish among different intracranial
vasculopathies. However, the protocols and pulse sequences used for VWI vary
widely.2 As a result, the reported imaging endpoints to detect and
characterize atherosclerosis in many investigations also vary widely leading to
challenges in synthesizing the literature and limits the generalizability of
the results.3 The most common endpoints by pulse sequence type remain unknown.
We systematically reviewed the VWI literature to identify the commonly reported
primary and secondary imaging endpoints for atherosclerosis on T1-weighted and
T2-weighted by VWI. Methods
PubMed, EMBASE, and MEDLINE databases were
searched up to September 2018. Inclusion criteria were investigations on
humans, VWI, and intracranial vasculopathies. Single case reports, pediatric
investigations and conference abstracts were excluded. A subset of included
articles examining intracranial atherosclerosis underwent qualitative review.
Data on MR pulse sequences, protocol design, technical parameters and primary
and secondary imaging endpoints were collected. Categorical variables are presented as counts
and percentages. SPSS, Inc (IBM) was used for data management and analyses. The Preferred Reporting Items for Systematic Reviews
and Meta-Analyses guidelines were used. Results
From 2,431 publications, full-text data
extraction was performed on 54 articles using intracranial vessel wall MR
imaging (VWI) to study intracranial atherosclerosis. VWI protocols to
characterize atherosclerosis varied widely with the most common protocol
including 3D T1-weighted (T1w) acquisitions (Fig 1). The most common
imaging definition of plaque was focal, eccentric vessel wall thickening (40%, n=21).
Notably, most publications did not clearly define how plaque was identified on
VWI (60%, n=31). To measure imaging endpoints, T1-weighted acquisitions (40%, n=21)
were most commonly used followed by T2-weighted acquisitions (T2w) (21%, n=11)
(Fig 2). Among all publications, the most common primary and secondary imaging endpoints
were wall enhancement (52%) and thickening (58%), respectively (Fig 3). On T1w
pre-contrast images, identifying plaque by quadrant on cross-section of an artery
to assess whether plaque occluded the ostium of a perforator artery (55%) and
wall thickening (55%) were the most common imaging endpoints (Fig 4A). For T1w-postcontrast
images, wall enhancement (85%) and thickening (56%) were most frequently assessed (Fig 4B). Finally, for T2w images, intraplaque T2 signal intensity (40%) (Fig
4C) and wall thickening (40%) as well as lumen/vessel/wall areas (40%) were common
primary and secondary endpoints, respectively. Discussion
The results reveal a wide spectrum of VWI
protocol and pulse sequence designs used to study intracranial atherosclerosis.
Primary and secondary imaging endpoints used to define and characterize plaque
also vary widely due to these technical differences. Vessel wall enhancement
and thickening emerged as the most common endpoints for all studies. Analyses
by pulse sequence type showed plaque quadrant distribution, wall enhancement,
and intraplaque T2 signal to be the most common primary imaging endpoints for
T1w-precontrast, T1w-postcontrast, and T2w acquisitions, respectively. While
some reliability and reproducibility investigations align with these common
imaging endpoints (e.g., enhancement4), others focus on less commonly
used imaging endpoints (e.g., wall and lumen areas5).
Moreover, each investigation used different pulse sequences. Consensus on
imaging endpoints and pulse sequences would help focus research resources and
efforts. Future directions to reach consensus include comparing the diagnostic
accuracies of these imaging endpoints by VWI pulse sequence to characterize
atherosclerosis.
Conclusion
Variability in VWI protocols
and pulse sequences result in a number of different imaging endpoints to detect
and characterize intracranial atherosclerosis. More studies are warranted to
identify which pulse sequences and imaging endpoints are diagnostically
accurate and clinically achievable to establish a VWI biomarker for
intracranial atherosclerosis. Acknowledgements
No acknowledgement found.References
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