Liu-Xian Wang1, Hui Wang2, Jin-Hao Lyu1, Fang-Bin Hao2, Lian Duan2, and Xin Lou1
1The First Medical Center of Chinese PLA General Hospital, Beijing, China, 2The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
Synopsis
Previous study has reported superiority of contrast-enhanced T1-weighted
MR (CEMR) imaging compared with FLAIR for depicting ivy sign in Moyamoya
disease (MMD), but no quantitative comparison of both scoring modalities was
performed. In this study, we found better consistency between CEMR and DSA,
higher ability of CEMR to differentiate severity of MCA stenosis, as well as
higher specificity of CEMR compared with FLAIR. Our study proposed that for
chronic cerebrovascular disease like MMD, CEMR might be more appropriate in
assessing leptomeningeal collaterals.
Introduction
Moyamoya disease
(MMD) is characterized by chronic progressive stenosis of the terminal portion
of circle of Willis, with abnormally formed vascular network at the base of the
brain1. As a major collateral pathway, leptomeningeal
collateral vessels play an important role in maintaining cerebral perfusion and
could be visualized as "ivy sign" on MR images in MMD. This sign
could be seen on contrast-enhanced MR (CEMR) images as leptomeningeal
enhancement and FLAIR images as arterial high signal intensity. Although former
study has compared the capacity of depicting ivy sign between CEMR and FLAIR
images, no quantitative assessments was performed2. The purpose of this study is to compare the capability
of these two scoring methods for assessing leptomeningeal collaterals using DSA
as reference.Methods
FLAIR and
CEMR imaging were performed in 44 patients diagnosed MMD by DSA (18 men, 26
women; mean age, 40.63 ± 13.60 years) as parts of preoperative evaluation for
possible surgery. Ivy sign was assessed on both FLAIR and CEMR images according
to Alberta Stroke Program Early CT Score (ASPECTS)3. In accordance
with ASPECTS, the territory supplied by middle cerebral artery (MCA) is divided
into 6 regions (M1-M6). Each region was scored based on the prominence of ivy
sign (0-2 point scale, 0 indicated an absence of ivy sign in each region; 1
indicated the presence of ivy sign was less than half of each region; 2
indicated the presence of ivy sign was larger than half of each region). The
total score of ivy sign was calculated as the sum of 6 regions on both FLAIR (FLAIR
vascular hyperintensity, FVH) and CEMR images (CEMR scores, CEMRs)4. Quantitative
assessment of leptomeningeal collaterals on DSA was performed according to the
method proposed by Liu et al.5. Suzuki stage
was also recorded. Clinically, the modified Rankin Scale (mRS) for each patient
before surgery was recorded within 1 week of the MR imaging study. In addition,
whether a definite cerebral infarction existed was determined by combination of
DWI, T2-weighted and FLAIR imaging.
Statistically,
Spearman correlation was performed to evaluate the consistency of FVH, CEMRs
and DSA, mRS. Kruskal-Wallis one-way ANOVA and post-hoc analysis was performed
on FVH and CEMRs for differentiating normal MCA (nMCA), MCA with stenosis
(sMCA) and MCA with occlusion (oMCA). ROC analysis and McNemar's test were
performed to compare the area under curve (AUC), sensitivity and specificity of
FVH and CEMRs for identifying cerebral infarction.Results
A total of 86
hemispheres were included into analysis (cerebral infarction of 2 hemispheres were
too severe to evaluate ivy sign and were excluded from this study). Mean FVH score
was 2.80 ± 2.06, mean CEMRs
was 7.05 ± 2.56 and mean DSA score was 2.31 ± 1.84. Spearman analysis showed
significant correlation between CEMRs and DSA score, but no significant
correlation was found between FVH and DSA score (Fig.1). Moreover, there was
significant correlation between both FVH, CEMRs and Suzuki stage (Fig.1) with
higher correlation coefficient of CEMRs. To test the capacity of FVH and CEMRs
differentiating nMCA, sMCA and oMCA, Kruskal-Wallis analysis revealed better ability
of CEMRs instead of FVH (FVH,
H = 1.61, p = 0.45; CEMRs, H = 7.86, p = 0.02; DSA, H = 25.31, p
< 0.001). Post-hoc analysis revealed significant difference between nMCA and
oMCA as for CEMRs, significant difference between nMCA and oMCA, sMCA and oMCA
as for DSA score (Fig.2). Clinically, no significant correlation was found
between ivy sign scores and mRS (FVH, ρ = 0.15, p = 0.18; CEMRs, ρ = 0.17, p =
0.13; DSA, ρ = 0.08, p = 0.48). ROC analysis found that only AUC of DSA scores showed
significant results (Fig.3). With regard to sensitivity and specificity of FVH
and CEMRs, statistical analysis showed that sensitivity of FVH was 89%, specificity
was 29%. Sensitivity of CEMRs was 12.5%, specificity was 87%. McNemar's test
showed significant difference of sensitivity between FVH and CEMRs, as well as
significant difference of specificity (Fig.4).Discussion
In this study, we
found that CEMR was superior to FLAIR for quantifying the extent of
leptomeningeal collaterals and reflecting arterial stenosis. It has been
reported the marked leptomeningeal enhancement was attributed to engorged pial
vessels with thickened arachnoid membranes and edema, while the presence of FVH
was widely considered as a result of slow collateral flow2, 6. Different from
acute ischemic stroke of which FVH was widely studied, the leptomeningeal
collaterals of MMD were formed through a relatively long duration. Such longer
formed collaterals might be less sensitive to FVH since the slow collateral
flow might not be obvious like acute ischemic stroke. Our results supporting
this hypothesis to some extent that FVH was inferior to CEMR to evaluate
leptomeningeal collaterals in MMD concerning both accuracy and robustness.
However, there were no significant correlation between both scoring modalities
and mRS, suggesting scoring of leptomeningeal collaterals could not
independently reflect clinical severity.Conclusion
In this study, we quantitatively assessed the capability of CEMR for
scoring ivy sign compared with FLAIR in MMD. We found that in a chronic
cerebrovascular disease like MMD, CEMR might be more reliable for assessing
leptomeningeal collateralsAcknowledgements
None.References
1.Research Committee on the Pathology and Treatment of
Spontaneous Occlusion of the Circle of Willis; Health Labour Sciences Research
Grant for Research on Measures for Infractable Diseases. Guidelines for
diagnosis and treatment of moyamoya disease (spontaneous occlusion of the circle
of Willis). Neurol Med Chir (Tokyo), 2012. 52(5): p. 245-66.
2.HK Yoon, Shin HJ and Chang YW, "Ivy sign" in
childhood moyamoya disease: depiction on FLAIR and contrast-enhanced
T1-weighted MR images. Radiology, 2002. 223(2): p. 384-9.
3.PA Barber, AM Demchuk, J Zhang, et al., Validity and
reliability of a quantitative computed tomography score in predicting outcome
of hyperacute stroke before thrombolytic therapy. ASPECTS Study Group. Alberta
Stroke Programme Early CT Score. Lancet, 2000. 355(9216): p. 1670-4.
4.YK Kaku, N Iihara, N Nakajima, et al., The leptomeningeal
ivy sign on fluid-attenuated inversion recovery images in moyamoya disease:
positron emission tomography study. Cerebrovasc Dis, 2013. 36(1): p. 19-25.
5.ZW Liu, C Han, F Zhao, et al., Collateral Circulation in
Moyamoya Disease: A New Grading System. Stroke, 2019. 50(10): p. 2708-2715.
6.WJ Shang, , HB
Chen, LM Shu, et al., The Association between FLAIR Vascular Hyperintensity and
Stroke Outcome Varies with Time from Onset. AJNR Am J Neuroradiol, 2019. 40(8):
p. 1317-1322.