Evaluation of white matter hypodensities on computed tomography in stroke patients using the Fazekas score

被引:27
作者
Rudilosso, Salvatore [1 ]
San Roman, Luis [2 ]
Blasco, Jordi [2 ]
Hernandez-Perez, Maria [3 ]
Urra, Xabier [1 ]
Chamorro, Angel [1 ]
机构
[1] Hosp Clin Barcelona, Funct Unit Cerebrovasc Dis, Barcelona, Spain
[2] Hosp Clin Barcelona, Dept Radiol, Barcelona, Spain
[3] Univ Autonoma Barcelona, Hosp Germans Trias & Pujol, Dept Neurosci, Barcelona, Spain
关键词
Fazekas score; White matter changes; Stroke; ACUTE ISCHEMIC-STROKE; SMALL VESSEL DISEASE; INTRACEREBRAL HEMORRHAGE; LEUKOARAIOSIS BURDEN; LACUNAR STROKE; SCALE; CT; MRI; HYPERINTENSITIES; THROMBOLYSIS;
D O I
10.1016/j.clinimag.2017.06.011
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To assess the reliability of the Fazekas score on brain CT in acute stroke patients. Methods: Two raters evaluated the Fazekas score in 157 CT scans from consecutive patients with acute stroke. Results: The Fazekas scores on brain CT scans showed consistent (weighted kappa, 0.73) and moderate (weighted kappa, 0.56) interobserver agreement for penventricular and deep white matter areas, respectively. Intraobserver reliability was substantial for both areas (weighted kappa, 0.85 and 0.8). Conclusion: The Fazekas score on CT can be used to reliably grade white matter changes, and can be a useful tool when MRI is not available. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:24 / 27
页数:4
相关论文
共 26 条
  • [1] Altman D. G., 1990, Practical Statistics for medical research, DOI DOI 10.1201/9780429258589
  • [2] Neglect Performance in Acute Stroke Is Related to Severity of White Matter Hyperintensities
    Bahrainwala, Zainab S.
    Hillis, Argye E.
    Dearborn, Jennifer
    Gottesman, Rebecca F.
    [J]. CEREBROVASCULAR DISEASES, 2014, 37 (03) : 223 - 230
  • [3] Prediction of stroke thrombolysis outcome using CT brain machine learning
    Bentley, Paul
    Ganesalingam, Jeban
    Jones, Anoma Lalani Carlton
    Mahady, Kate
    Epton, Sarah
    Rinne, Paul
    Sharma, Pankaj
    Halse, Omid
    Mehta, Amrish
    Rueckert, Daniel
    [J]. NEUROIMAGE-CLINICAL, 2014, 4 : 635 - 640
  • [5] CT and MRI rating of white matter lesions
    Fazekas, F
    Barkhof, F
    Wahlund, LO
    Pantoni, L
    Erkinjuntti, T
    Scheltens, P
    Schmidt, R
    [J]. CEREBROVASCULAR DISEASES, 2002, 13 : 31 - 36
  • [6] FAZEKAS F, 1987, AM J NEURORADIOL, V8, P421
  • [7] Leukoaraiosis is a predictor of futile recanalization in acute ischemic stroke
    Gilberti, Nicola
    Gamba, Massimo
    Premi, Enrico
    Costa, Angelo
    Vergani, Veronica
    Delrio, Ilenia
    Spezi, Raffaella
    Dikran, Mardighian
    Frigerio, Michele
    Gasparotti, Roberto
    Pezzini, Alessandro
    Padovani, Alessandro
    Magoni, Mauro
    [J]. JOURNAL OF NEUROLOGY, 2017, 264 (03) : 448 - 452
  • [8] Impact of Leukoaraiosis Burden on Hemispheric Lateralization of the National Institutes of Health Stroke Scale Deficit in Acute Ischemic Stroke
    Helenius, Johanna
    Goddeau, Richard P., Jr.
    Moonis, Majaz
    Henninger, Nils
    [J]. STROKE, 2016, 47 (01) : 24 - 30
  • [9] Leukoaraiosis Burden Significantly Modulates the Association Between Infarct Volume and National Institutes of Health Stroke Scale in Ischemic Stroke
    Helenius, Johanna
    Henninger, Nils
    [J]. STROKE, 2015, 46 (07) : 1857 - 1863
  • [10] Leukoaraiosis Predicts Poor 90-Day Outcome after Acute Large Cerebral Artery Occlusion
    Henninger, Nils
    Lin, Eugene
    Baker, Stephen P.
    Wakhloo, Ajay K.
    Takhtani, Deepak
    Moonis, Majaz
    [J]. CEREBROVASCULAR DISEASES, 2012, 33 (06) : 525 - 531