000130210 001__ 130210
000130210 005__ 20240228143416.0
000130210 0247_ $$2doi$$a10.1186/s12883-016-0576-5
000130210 0247_ $$2pmid$$apmid:27094741
000130210 0247_ $$2pmc$$apmc:PMC4837540
000130210 037__ $$aDKFZ-2017-05290
000130210 041__ $$aeng
000130210 082__ $$a610
000130210 1001_ $$aMundiyanapurath, Sibu$$b0
000130210 245__ $$aTime-dependent parameter of perfusion imaging as independent predictor of clinical outcome in symptomatic carotid artery stenosis.
000130210 260__ $$aLondon$$bBioMed Central$$c2016
000130210 3367_ $$2DRIVER$$aarticle
000130210 3367_ $$2DataCite$$aOutput Types/Journal article
000130210 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1525684388_7590
000130210 3367_ $$2BibTeX$$aARTICLE
000130210 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000130210 3367_ $$00$$2EndNote$$aJournal Article
000130210 520__ $$aCarotid 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 T(max) (time to the peak of the residue curve) to predict outcome in patients with unilateral acute symptomatic internal carotid artery (sICA) stenosis.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 T(max) were retrospectively analyzed and correlated with outcome represented by the modified Rankin Scale (mRS) score at discharge. TTP and T(max) volumes were dichotomized using a ROC curve analysis. Multivariate analysis was performed to determine which PWI-parameter was an independent predictor of outcome.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), T(max) ≥4 s (25.27 vs. 0.00 ml; p = 0.043), T(max) ≥6 s (9.21 vs. 0.00 ml; p = 0.017), T(max) ≥8 s (6.86 vs. 0.00 ml; p = 0.011) and T(max) ≥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), T(max) ≥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.As they stood out in multivariate regression and are objective and reproducible parameters, PWI-derived volumes of T(max) ≥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.
000130210 536__ $$0G:(DE-HGF)POF3-315$$a315 - Imaging and radiooncology (POF3-315)$$cPOF3-315$$fPOF III$$x0
000130210 588__ $$aDataset connected to CrossRef, PubMed,
000130210 7001_ $$aRingleb, Peter Arthur$$b1
000130210 7001_ $$aDiatschuk, Sascha$$b2
000130210 7001_ $$aEidel, Oliver$$b3
000130210 7001_ $$aBurth, Sina$$b4
000130210 7001_ $$0P:(DE-He78)f0ab09cfecf353f363bab4cc983de95d$$aFloca, Ralf Omar$$b5$$udkfz
000130210 7001_ $$aMöhlenbruch, Markus$$b6
000130210 7001_ $$0P:(DE-He78)92e9783ca7025f36ce14e12cd348d2ee$$aWick, Wolfgang$$b7$$udkfz
000130210 7001_ $$aBendszus, Martin$$b8
000130210 7001_ $$0P:(DE-He78)77588f5b9413339755a66e739d316c7d$$aRadbruch, Alexander$$b9$$eLast author$$udkfz
000130210 773__ $$0PERI:(DE-600)2041347-6$$a10.1186/s12883-016-0576-5$$gVol. 16, no. 1, p. 50$$n1$$p50$$tBMC neurology$$v16$$x1471-2377$$y2016
000130210 909CO $$ooai:inrepo02.dkfz.de:130210$$pVDB
000130210 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)f0ab09cfecf353f363bab4cc983de95d$$aDeutsches Krebsforschungszentrum$$b5$$kDKFZ
000130210 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)92e9783ca7025f36ce14e12cd348d2ee$$aDeutsches Krebsforschungszentrum$$b7$$kDKFZ
000130210 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)77588f5b9413339755a66e739d316c7d$$aDeutsches Krebsforschungszentrum$$b9$$kDKFZ
000130210 9131_ $$0G:(DE-HGF)POF3-315$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vImaging and radiooncology$$x0
000130210 9141_ $$y2016
000130210 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bBMC NEUROL : 2015
000130210 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000130210 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000130210 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000130210 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000130210 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000130210 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ
000130210 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000130210 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000130210 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000130210 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000130210 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000130210 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine
000130210 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000130210 9201_ $$0I:(DE-He78)E071-20160331$$kE071$$lSoftwareentwicklung für Integrierte Diagnostik und Therapie(SIDT)$$x0
000130210 9201_ $$0I:(DE-He78)G370-20160331$$kG370$$lKKE Neuroonkologie$$x1
000130210 9201_ $$0I:(DE-He78)E012-20160331$$kE012$$lNeuroonkologische Bildgebung$$x2
000130210 9201_ $$0I:(DE-He78)L101-20160331$$kL101$$lDKTK Heidelberg$$x3
000130210 980__ $$ajournal
000130210 980__ $$aVDB
000130210 980__ $$aI:(DE-He78)E071-20160331
000130210 980__ $$aI:(DE-He78)G370-20160331
000130210 980__ $$aI:(DE-He78)E012-20160331
000130210 980__ $$aI:(DE-He78)L101-20160331
000130210 980__ $$aUNRESTRICTED