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Multiphasic Perfusion Computed Tomography in Hyperacute Ischemic Stroke: Comparison with Diffusion and Perfusion Magnetic Resonance Imaging

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dc.contributor.author김응엽-
dc.date.accessioned2015-07-15T17:10:13Z-
dc.date.available2015-07-15T17:10:13Z-
dc.date.issued2003-
dc.identifier.issn0363-8715-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/114368-
dc.description.abstractPURPOSE: The purpose of this study was to compare multiphasic perfusion computed tomography (CT) with diffusion and perfusion magnetic resonance imaging (MRI) in predicting final infarct volume, infarct growth, and clinical severity in patients with hyperacute ischemia untreated by thrombolytic therapy. METHOD: Multiphasic perfusion CT was performed in 19 patients with ischemic stroke within 6 hours of symptom onset. Two CT maps of peak and total perfusion were generated from CT data. Diffusion-weighted imaging (DWI) and perfusion MRI were obtained within 150 minutes after CT. Lesion volumes on CT and MRI were compared with final infarct volume and clinical scores, and mismatch on CT or MRI was compared with infarct growth. RESULTS: The lesion volume on the CT total perfusion map strongly correlated with MRI relative cerebral blood volume (rCBV), and that on the CT peak perfusion map strongly correlated with MRI relative cerebral blood flow (rCBF) and rCBV (P < 0.001). The lesion volume on unenhanced CT or DWI moderately correlated with final infarct volume, but only lesion volume on unenhanced CT weakly correlated with baseline clinical scores (P = 0.024). The lesion volumes on the CT peak perfusion map and MRI rCBF similarly correlated with final infarct volume and clinical scores and more strongly than those on mean transit time (MTT) or time to peak (TTP). DWI-rCBF or CT mismatch was more predictive of infarct growth than DWI-MTT or DWI-TTP mismatch. CONCLUSION: Multiphasic perfusion CT is useful and of comparable utility to diffusion and perfusion MRI for predicting final infarct volume, infarct growth, and clinical severity in acute ischemic stroke.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAcute Disease-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHBrain/blood supply-
dc.subject.MESHBrain/diagnostic imaging-
dc.subject.MESHBrain/physiopathology-
dc.subject.MESHBrain Ischemia/diagnosis*-
dc.subject.MESHBrain Ischemia/pathology-
dc.subject.MESHCarotid Artery, Internal/diagnostic imaging-
dc.subject.MESHCarotid Artery, Internal/pathology-
dc.subject.MESHCarotid Stenosis/diagnosis-
dc.subject.MESHCerebrovascular Circulation/physiology-
dc.subject.MESHDiffusion Magnetic Resonance Imaging-
dc.subject.MESHFemale-
dc.subject.MESHFollow-Up Studies-
dc.subject.MESHHumans-
dc.subject.MESHMagnetic Resonance Angiography-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHSeverity of Illness Index-
dc.subject.MESHStatistics as Topic-
dc.subject.MESHStroke/diagnosis*-
dc.subject.MESHStroke/pathology-
dc.subject.MESHTime Factors-
dc.subject.MESHTomography, X-Ray Computed*-
dc.titleMultiphasic Perfusion Computed Tomography in Hyperacute Ischemic Stroke: Comparison with Diffusion and Perfusion Magnetic Resonance Imaging-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학)-
dc.contributor.googleauthorNa Dong Gyu-
dc.contributor.googleauthorRyoo Jae Wook-
dc.contributor.googleauthorByun Hong Sik-
dc.contributor.googleauthorKim Jae Hyoung-
dc.contributor.googleauthorYi Byong Yong-
dc.contributor.googleauthorLee Soo Joo-
dc.contributor.googleauthorKim Eung Yeop-
dc.contributor.googleauthorYi Chin A.-
dc.contributor.googleauthorMoon Chan Hong-
dc.contributor.googleauthorLee Kwang Ho-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00832-
dc.relation.journalcodeJ01350-
dc.identifier.eissn1532-3145-
dc.identifier.pmid12703012-
dc.identifier.urlhttp://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&AN=00004728-200303000-00016&LSLINK=80&D=ovft-
dc.subject.keywordcomputed tomography (CT)-
dc.subject.keywordmagnetic resonance imaging (MRI)-
dc.subject.keywordischemia-
dc.subject.keywordperfusion-
dc.subject.keyworddiffusion-
dc.subject.keywordbrain-
dc.contributor.alternativeNameKim, Eung Yeop-
dc.contributor.affiliatedAuthorKim, Eung Yeop-
dc.rights.accessRightsnot free-
dc.citation.volume27-
dc.citation.number2-
dc.citation.startPage194-
dc.citation.endPage206-
dc.identifier.bibliographicCitationJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, Vol.27(2) : 194-206, 2003-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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