title: Development of a CT-based weighted rating scale for subcortical cerebrovascular disease sensitive to mild clinical symptoms.
abstract: OBJECTIVE
  To devise and validate a CT-based visual rating scale sensitive to subcortical cerebrovascular disease (sCVD) in patients with cognitive impairment.
  
  
  METHODS
  Three types of vascular lesions were rated separately in 16 brain regions. A unique vascular score was computed weighing the regression coefficients of the three scores in linear models. Thereafter, subcortical vascular classes (SVC) of increasing severity (0-3) were created. Known-group and convergent validity of the SVC was tested in 122 cognitively impaired patients with MMSE of 18 and higher. These patients were grouped according to clinical diagnosis in degenerative, mixed, and vascular.
  
  
  RESULTS
  Intraclass correlation coefficients were between 0.86 and 0.94. The subcortical vascular score was 8.0+/-9.4 in the degenerative, 33.0+/-17.2 in the mixed, and 36.8+/-14.8 in the vascular patients (p=0.0001). In particular, none of the degenerative patients had SVC=3, and only 14% had SVC=2. On the contrary, none of the mixed and vascular patients had SVC=0, while about 50% had SVC=3 in both groups. The prevalence of hypertension was increasing with increasing SVC (p for trend=0.02). The performance on tasks evaluating balance, gait, and bradykinesia decreased with increasing SVC severity (p for trend=0.006, 0.01, 0.001, respectively).
  
  
  CONCLUSIONS
  The scale is a valid tool to estimate the vascular component in patients with cognitive impairment.
authors.affiliation: Laboratory of Epidemiology and Neuroimaging, IRCCS San Giovanni di Dio-FBF, via Pilastroni 4, Brescia 25125, Italy.
authors.forename: Cristina
authors.initials: C
authors.lastname: Geroldi
authors.forename: Samantha
authors.initials: S
authors.lastname: Galluzzi
authors.forename: Junmei
authors.initials: J
authors.lastname: Miao
authors.forename: Cristina
authors.initials: C
authors.lastname: Testa
authors.forename: Giovanni B
authors.initials: GB
authors.lastname: Frisoni
mesh_terms: D000368:Aged; D001480:Basal Ganglia Diseases / Q000000981:diagnostic imaging; D001921:Brain / Q000000981:diagnostic imaging*; D002561:Cerebrovascular Disorders / Q000000981:diagnostic imaging* / Q000523:psychology; D003072:Cognition Disorders / Q000000981:diagnostic imaging / Q000523:psychology; D015161:Dementia, Multi-Infarct / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D009483:Neuropsychological Tests; D011569:Psychiatric Status Rating Scales; D015203:Reproducibility of Results; D014057:Tomography, X-Ray Computed