Dynamic CT Perfusion Imaging for the Detection of Crossed Cerebellar Diaschisis in Acute Ischemic Stroke.
- Author:
Young Wook JEON
1
;
Seo Hyun KIM
;
Ji Yong LEE
;
Kum WHANG
;
Myung Soon KIM
;
Young Ju KIM
;
Myeong Sub LEE
Author Information
- Publication Type:Original Article
- Keywords: Crossed cerebellar diaschisis; Acute stroke; CT perfusion
- MeSH: Aged; Blood Flow Velocity; Cerebellar Diseases/*radiography; Cerebral Angiography/*methods; Cerebrovascular Circulation; Contrast Media/diagnostic use; Female; Humans; Iohexol/diagnostic use; Magnetic Resonance Imaging; Male; Radiographic Image Interpretation, Computer-Assisted; Retrospective Studies; Stroke/*radiography; Tomography, X-Ray Computed/*methods
- From:Korean Journal of Radiology 2012;13(1):12-19
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: Although the detection of crossed cerebellar diaschisis (CCD) by means of different imaging modalities is well described, little is known about its diagnosis by computed tomography perfusion (CTP) imaging. We investigated the detection rate of CCD by CTP imaging and the factors related to CCD on CTP images in patients with acute ischemic stroke. MATERIALS AND METHODS: CT perfusion maps of cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time (MTT), and time-to-peak (TTP) obtained from 81 consecutive patients affected by an acute ischemic stroke were retrospectively reviewed. Whole-brain perfusion maps were obtained with a multichannel CT scanner using the toggling-table technique. The criteria for CCD was a unilateral supratentorial ischemic lesion and an accompanying decrease in perfusion of the contralateral cerebellar hemisphere on the basis of CTP maps by visual inspection without a set threshold. Maps were quantitatively analyzed in CCD positive cases. RESULTS: The criteria for CCD were fulfilled in 25 of the 81 cases (31%). Detection rates per CTP map were as follows: MTT (31%) > TTP (21%) > CBF (9%) > CBV (6%). Supratentorial ischemic volume, degree of perfusion reduction, and infratentorial asymmetry index correlated strongly (R, 0.555-0.870) and significantly (p < 0.05) with each other in CCD-positive cases. CONCLUSION: It is possible to detect CCD on all four of the CTP-based maps. Of these maps, MTT is most sensitive in detecting CCD. Our data indicate that CTP imaging is a valid tool for the diagnosis of CCD in patients affected by an acute hemispheric stroke.
