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Time-dependent parameter of perfusion imaging as independent predictor of clinical outcome in symptomatic carotid artery stenosis

Mundiyanapurath, Sibu ; Ringleb, Peter Arthur ; Diatschuk, Sascha ; Eidel, Oliver ; Burth, Sina ; Floca, Ralf ; Möhlenbruch, Markus ; Wick, Wolfgang ; Bendszus, Martin ; Radbruch, Alexander

In: BMC Neurology, 16 (2016), Nr. 50. pp. 1-9. ISSN 1471-2377

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Download (2MB) | Lizenz: Creative Commons LizenzvertragTime-dependent parameter of perfusion imaging as independent predictor of clinical outcome in symptomatic carotid artery stenosis by Mundiyanapurath, Sibu ; Ringleb, Peter Arthur ; Diatschuk, Sascha ; Eidel, Oliver ; Burth, Sina ; Floca, Ralf ; Möhlenbruch, Markus ; Wick, Wolfgang ; Bendszus, Martin ; Radbruch, Alexander underlies the terms of Creative Commons Attribution 3.0 Germany

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Abstract

Background: Carotid artery stenosis is a frequent cause of ischemic stroke. While any degree of stenosis can cause embolic stroke, a higher degree of stenosis can also cause hemodynamic infarction. The hemodynamic effect of a stenosis can be assessed via perfusion weighted MRI (PWI). Our aim was to investigate the ability of PWI-derived parameters such as TTP (time-to-peak) and Tmax (time to the peak of the residue curve) to predict outcome in patients with unilateral acute symptomatic internal carotid artery (sICA) stenosis. Methods: Patients with unilateral acute sICA stenosis (≥50 % according to NASCET), without intracranial stenosis or occlusion, who underwent PWI, were included. Clinical characteristics, volume of restricted diffusion, volume of prolonged TTP and Tmax were retrospectively analyzed and correlated with outcome represented by the modified Rankin Scale (mRS) score at discharge. TTP and Tmax volumes were dichotomized using a ROC curve analysis. Multivariate analysis was performed to determine which PWI-parameter was an independent predictor of outcome. Results: Thirty-two patients were included. Degree of stenosis, volume of visually assessed TTP and volume of TTP ≥2 s did not distinguish patients with favorable (mRS 0–2) and unfavorable (mRS 3–6) outcome. In contrast, patients with unfavorable outcome had higher volumes of TTP ≥4 s (9.12 vs. 0.87 ml; p = 0.043), TTP ≥6 s (6.70 vs. 0.20 ml; p = 0.017), Tmax ≥4 s (25.27 vs. 0.00 ml; p = 0.043), Tmax ≥6 s (9.21 vs. 0.00 ml; p = 0.017), Tmax ≥8 s (6.86 vs. 0.00 ml; p = 0.011) and Tmax ≥10s (5.94 vs. 0.00 ml; p = 0.025) in univariate analysis. Multivariate logistic regression showed that NIHSS score on admission (Odds Ratio (OR) 0.466, confidence interval (CI) [0.224;0.971], p = 0.041), Tmax ≥8 s (OR 0.025, CI [0.001;0.898] p = 0.043) and TTP ≥6 s (OR 0.025, CI [0.001;0.898] p = 0.043) were independent predictors of clinical outcome. Conclusion: As they stood out in multivariate regression and are objective and reproducible parameters, PWI-derived volumes of Tmax ≥8 s and TTP ≥6 s might be superior to degree of stenosis and visually assessed TTP maps in predicting short term patient outcome. Future studies should assess if perfusion weighted imaging might guide the selection of patients for recanalization procedures.

Item Type: Article
Journal or Publication Title: BMC Neurology
Volume: 16
Number: 50
Publisher: BioMed Central; Springer
Place of Publication: London; Berlin; Heidelberg
Date Deposited: 25 Apr 2016 13:20
Date: 2016
ISSN: 1471-2377
Page Range: pp. 1-9
Faculties / Institutes: Service facilities > Interdisziplinäres Zentrum für Neurowissenschaften
Service facilities > German Cancer Research Center (DKFZ)
Medizinische Fakultät Heidelberg > Neurologische Universitätsklinik
Medizinische Fakultät Heidelberg > Institut für Medizinische Biometrie und Informatik
Subjects: 610 Medical sciences Medicine
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