Multi-mode CT in the evaluation of leptomeningeal collateral flow and the related factors: comparing with digital subtraction angiography.
OBJECTIVE
Less ischemic volume and better functional outcome are related with good cerebral collaterals in ischemic stroke. But the method of assessing collateral circulation is still undetermined.


METHODS
Collateral status was assessed using a computed tomography angiography (CTA) source image (CTA-SI) based and digital subtraction angiography (DSA) based assessment system. CTP maps were quantitatively analyzed. CBF, CBV, MTT, and TTP were calculated within the hypoperfusion and in the equivalent region of unaffected hemisphere. ASTIN-ASN system based on DSA and leptomeningeal collaterals (LMC) system based on CTA were adopted separately, and the intra-rater and inter-rater were determined by Kappa testing. Receiver Operating Characteristic (ROC) curves were used to analyze the relationship between CTP quantitative parameters and DSA. The related factors of collateral flow were also explored in this study.


RESULTS
Of 52 patients, 12(23.1%) were women, and the average age was 59.4y. The κ-coefficients were 0.794 and 0.890 in the CTA and DSA collateral grade systems, respectively. The κ-coefficients were 0.679 comparing with the CTA and DSA collateral grade systems. By means of ROC curves, a relative MTT (rMTT) was obtained as relative variables of collaterals. The cut-off value is 1.37 emerged as the only predictor of good collaterals. The multi-mode CT collaterals scores showed excellent consistency comparing with DSA (κ-coefficients 0.770). Based on univariate and multivariate analysis, the rate of stenosis is the only predictor in the development of collateral circulation.


CONCLUSIONS
Our data showed that multi-mode CT score has a high value in predicting leptomeningeal collateral flow in ischemic stroke.
a Department of Neurology, Beijing Tiantan Hospital , Capital Medical University , Beijing , China.
Xin
X
Liu
b Department of Neurointensive Care Unit, Neurology Center, Beijing Tiantan Hospital , Capital Medical University , Beijing , China.
Yuehua
Y
Pu
c Department of Clinical Research Center for Neurological Diseases, Neurology Center, Beijing Tiantan Hospital , Capital Medical University , Beijing , China.
Yuesong
Y
Pan
d Department of Neuroradiology, Beijing Tiantan Hospital , Capital Medical University , Beijing , China.
Yanan
Y
Zhang
a Department of Neurology, Beijing Tiantan Hospital , Capital Medical University , Beijing , China.
Xin
X
Dou
a Department of Neurology, Beijing Tiantan Hospital , Capital Medical University , Beijing , China.
Ying
Y
Tan
b Department of Neurointensive Care Unit, Neurology Center, Beijing Tiantan Hospital , Capital Medical University , Beijing , China.
Liping
L
Liu
a Department of Neurology, Beijing Tiantan Hospital , Capital Medical University , Beijing , China.|e China National Clinical Research Center for Neurological Diseases , Beijing , China.
Yongjun
Y
Wang
D000368:Aged; D015901:Angiography, Digital Subtraction; D002545:Brain Ischemia / Q000150:complications / Q000000981:diagnostic imaging; D003097:Collateral Circulation / Q000502:physiology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008578:Meninges / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D008875:Middle Aged; D012372:ROC Curve; D012189:Retrospective Studies; D018709:Statistics, Nonparametric; D020521:Stroke / Q000000981:diagnostic imaging* / Q000209:etiology; D014057:Tomography, X-Ray Computed
Collateral circulation; Evaluation; Ischemic stroke; Multi-CT scanning; Related factors