title: Correlation of volumetric mismatch and mismatch of Alberta Stroke Program Early CT Scores on CT perfusion maps.
abstract: BACKGROUND
  We aimed to determine if volumetric mismatch between tissue at risk and tissue destined to infarct on computed tomography perfusion (CTP) can be described by the mismatch of Alberta Stroke Program Early CT Score (ASPECTS).
  
  
  METHODS
  Forty patients with nonlacunar middle cerebral artery infarct <6 h old who had CTP on admission were retrospectively reviewed. Two raters segmented the lesion volume on mean transit time (MTT) and cerebral blood volume (CBV) maps using thresholds of >6 s and <2.0 mL per 100 g, respectively. Two other raters assigned ASPECTS to the same MTT and CBV maps while blinded to the volumetric data. Volumetric mismatch was deemed present if >or=20%. ASPECTS mismatch (=CBV ASPECTS - MTT ASPECTS) was deemed present if >or=1. Correlation between the two types of mismatches was assessed by Spearman's coefficient (rho). ROC curve analyses were performed to determine the optimal ASPECTS mismatch cut point for volumetric mismatch >or=20%, >or=50%, >or=100%, and >or=150%.
  
  
  RESULTS
  Median volumetric mismatch was 130% (range 10.9-2,031%) with 31 (77.5%) being >or=20%. Median ASPECTS mismatch was 2 (range 0-6) with 26 (65%) being >or=1. ASPECTS mismatch correlated strongly with volumetric mismatch with rho = 0.763 [95% CI 0.585-0.870], p < 0.0001. Sensitivity and specificity for volumetric mismatch >or=20% was 83.9% [95% CI 65.5-93.5] and 100% [95% CI 65.9-100], respectively, using ASPECTS mismatch >or=1. Volumetric mismatch >or=50%, >or=100%, and >or=150% were optimally identified using ASPECTS mismatch >or=1, >or=2, and >or=2, respectively.
  
  
  CONCLUSIONS
  On CTP, ASPECTS mismatch showed strong correlation to volumetric mismatch. ASPECTS mismatch >or=1 was the optimal cut point for volumetric mismatch >or=20%.
authors.affiliation: Department of Radiology, NYU Medical Center/Bellevue Hospital, 462 First Avenue, NBV 3W39, New York, NY 10016, USA. kelinmd@gmail.com
authors.forename: Ke
authors.initials: K
authors.lastname: Lin
authors.forename: Otto
authors.initials: O
authors.lastname: Rapalino
authors.forename: Benjamin
authors.initials: B
authors.lastname: Lee
authors.forename: Kinh G
authors.initials: KG
authors.lastname: Do
authors.forename: Amado R
authors.initials: AR
authors.lastname: Sussmann
authors.forename: Meng
authors.initials: M
authors.lastname: Law
authors.forename: Bidyut K
authors.initials: BK
authors.lastname: Pramanik
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001921:Brain / Q000000981:diagnostic imaging* / Q000473:pathology / Q000503:physiopathology; D002560:Cerebrovascular Circulation; D054893:Cone-Beam Computed Tomography; D016001:Confidence Intervals; D005260:Female; D006801:Humans; D020244:Infarction, Middle Cerebral Artery / Q000000981:diagnostic imaging* / Q000473:pathology / Q000503:physiopathology; D007472:Iohexol; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D012189:Retrospective Studies; D012720:Severity of Illness Index; D020521:Stroke / Q000000981:diagnostic imaging* / Q000473:pathology / Q000503:physiopathology; D013997:Time Factors
chemical_list: D007472:Iohexol
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