Hui Wang1, Xianchang Zhang2, Quanzhi Feng1, Yutian Li1, Jinli Li1, Yujun Wang3, Guangzhao Yang3, Qingle Kong2, Zihao Zhang4, and Tong Han1
1Radiology, Tianjin Huanhu Hospital, Tianjin, China, 2MR Collaboration, Siemens Healthcare Lid., Beijing, China, 3Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China, 4State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
Synopsis
This study evaluated the association
between plaque existence and lenticulostriate artery (LSA) morphology using high-resolution vessel wall imaging (HR-VWI) in patients
with lenticulostriate infarction and non-stenotic middle cerebral artery (MCA).
Patients were divided into plaque and non-plaque groups based on the plaque presence
in the MCA-M1 segment of the infarcted hemisphere. Atheromatous plaque was found
in 52.8% of patients, and the laterality index of the
LSA and total length were higher in the plaque group. These findings suggest
that HR-VWI may help distinguish branch from non-branch atheromatous small vessel disease.
Introduction
In single subcortical infarctions (SSIs) of lenticulostriate arteries
(LSA) with non-stenotic middle cerebral artery (MCA), differentiating the two
main pathogeneses is difficult for various reasons: 1) branch atheromatous
disease (BAD), an occlusion or stenosis at a deep penetrating artery orifice,
due to the presence of atheromatous plaque, and 2) lipohyalinosis and fibrinoid
degeneration in small vessel disease (SVD), mainly due to the lack of in vivo imaging technique to directly visualize the MCA plaques and
the LSA orifice [1]. High-resolution vessel wall imaging (HR-VWI) is capable of
imaging both large-vessel wall and the LSA lumen simultaneously in one imaging
setting [2], This permits further exploration of the pathogenesis of SSIs. This
study aimed to investigate the association between plaque existence and LSA morphological
changes using HR-VWI.Methods
Fifty-three patients (age: 49.6±12.8 years) with acute lenticulostriate infarction
and without MCA stenosis on magnetic resonance angiography (MRA) were imaged.
All patients received conventional diffusion-weighted imaging (DWI), 3D time-of-flight
MRA, and HR-VWI on a 3T system (MAGNETOM Skyra, Siemens Healthcare, Erlangen,
Germany) with a 20-channel head-neck coil.
HR-VWI was performed using the SPACE
(Sampling Perfection with Application-optimized Contrast using different flip
angle Evolutions) sequence with parameters: sagittal orientation,FOV=230×230 mm2,slices =240, voxel size=0.53×0.53×0.53 mm3, TR /TE =900ms/15ms, echo train length=52,scan time=8min7s.
Lesion characteristics were
independently assessed on DWI by two neuroradiologists, including infarct length
and location (proximal or not), total cerebral small vessel disease (CSVD)
score, and the MCA-M1 plaque location.
MCA and LSA centerlines were traced using
Sim Vascular software (http://simvascular.github.io/) to build the vascular skeleton. LSA skeletons were examined
by a third senior radiologist to ensure accuracy. Representative HR-VWI images
and LSA tracing results from two patients are shown in Figures 1 and 2.
LSA morphological parameters including numbers
of stems and branches as well as total length on infarcted and healthy sides were
recorded for each patient. Finally, laterality index (L_index) of LSA stem
number, branch number, and total length were derived and defined as: L_Index = (Datainfarcted
side - Datahealthy side)/(Datainfarcted side + Datahealthy
side).
Categorical variables were assessed
using Fisher's exact test or χ2 test. Normally distributed
continuous variables were analyzed by independent or
paired-sample t-tests, while nonnormal variables were analyzed by the Mann-Whitney
U-test. Results
Plaques were detected on the MCA-M1 segment
in the infarcted side of 28 (52.8%) patients, making up the ‘plaque’ group; the 25 patients were classified into the ‘non-plaque’ group.
Table 1 summarizes infarct lesion characteristics,
total CSVD score, and direct LSA morphological parameters between groups and hemispheres.
Infarct length was larger in plaque versus non-plaque group (1.70 ±0.79 vs. 1.36 ±0.74 cm), but the difference was not
statistically significant (P=0.117). Plaque group proximal lesion
incidence was higher (P=0.007). Total CSVD score was not significantly
different between two groups (P=0.113).
For LSA morphological parameters, plaque
group LSA stems, branches, and total length in the infarcted side were lower than
those in the healthy side. However, in the non-plaque group, only infarcted
side LSA total length was shorter than that of the healthy side. Between
groups, the LSA stems of infarcted side in the plaque group were less than that
in the non-plaque group.
Finally, LSA branch L_index (P=0.005)
and total length (P = 0.002) in the plaque group were higher than those
in the non-plaque group
(Figure 3).
Discussion & Conclusion
Here we present comprehensive investigation
of MCA-M1 segment plaque prevalence and its association with LSA morphological
change in SSI with non-stenotic MCA.
Over half of patients had plaques,
implying that large artery atherosclerotic plaques occluding the LSA orifices, termed
BAD, are an important cause of SSIs [3]. Furthermore, the infarcted side had fewer
LSA stems and branches and lower total length than the healthy side in the
plaque group, but only shorter total length was found in the non-plaque group.
This supports the concept that proximal plaque occlusion of LSAs causes blood
flow disturbance of the microvessel, leading to decreasing imaging signal
intensity and undetectable LSAs.
Most notably, we found that the L_index
of LSA branches and total length in the plaque group
were higher than those in the non-plaque group, while no significant difference
was found in the number of LSA branches and total length between these two
groups. L_index is a derived parameter representing the LSA morphological
difference between the infarcted and healthy sides, which could reduce the
impact of individual differences in LSA morphology. Our findings indicate that
L_index may be a candidate biomarker to identify BAD in SSIs.
In conclusion, HR-VWI was an effective
method to detect plaques on non-stenotic MCA and is promising for
identification of BAD in SSIs.Acknowledgements
This work was supported by the National
Key Research and Development Program of China (No.2018YFC1312000), Tianjin Natural
Science Foundation (No.20JCYBJC00960), Key Projects the National Science &
Technology Pillar Program during the Twelfth Five-year Plan Period (No.
2011BAI08B09).References
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Radiology. 2019;29: 1452-1459.
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