title: New duplex ultrasound scan criteria for managing symptomatic 50% or greater carotid stenosis.
abstract: OBJECTIVE
  The North American Symptomatic Carotid Endarterectomy Trial (NASCET) showed that selected patients benefited from surgery when their carotid artery was 50% or more stenosed. This study assessed the accuracy of color-flow duplex ultrasound scanning (DUS) parameters to detect 50% or greater carotid artery stenosis and to determine the situations in which carotid endarterectomy (CEA) without angiography could be justified.
  
  
  METHODS
  From March 1, 1995, to December 1, 1995, all patients considered for CEA were studied with DUS and carotid angiography. Results of the two tests were blindly compared. DUS measurements of internal carotid artery (ICA) peak systolic velocity (PSV), end diastolic velocity, and ratio of the ICA to common carotid artery PSV (ICA/CCA) were subjected to receiver operator characteristic curve analysis to determine the most accurate criterion predicting 50% or greater angiographic stenosis. The criterion for identifying patients for CEA without angiography was selected from criteria with a high positive predictive value (PPV) and sensitivity.
  
  
  RESULTS
  A total of 188 carotid bifurcations were available for comparison. A PSV (ICA/CCA) of 2 or higher was the most accurate criterion for detection of 50% or greater stenosis, with an accuracy rate of 93% (sensitivity, 96%; specificity, 89%; PPV, 92%). A PSV (ICA/CCA) of 3.6 or higher was the best criterion for identifying candidates for CEA who had not undergone earlier angiography, with PPV, sensitivity, specificity, and accuracy rates of 98%, 77%, 98%, and 86%, respectively.
  
  
  CONCLUSIONS
  These redefined criteria detect the NASCET-defined threshold level of 50% or greater ICA stenosis, above which CEA results in stroke reduction. A management algorithm based on these criteria should help to minimize both angiography and unnecessary intervention.
authors.affiliation: Division of Vascular Surgery, Vancouver Hospital and Health Sciences Centre, University of British Columbia, Vancouver, Canada.
authors.forename: G B
authors.initials: GB
authors.lastname: Winkelaar
authors.forename: J C
authors.initials: JC
authors.lastname: Chen
authors.forename: A J
authors.initials: AJ
authors.lastname: Salvian
authors.forename: D C
authors.initials: DC
authors.lastname: Taylor
authors.forename: P A
authors.initials: PA
authors.lastname: Teal
authors.forename: Y N
authors.initials: YN
authors.lastname: Hsiang
mesh_terms: D000465:Algorithms; D000792:Angiography; D001783:Blood Flow Velocity; D016893:Carotid Stenosis / Q000000981:diagnostic imaging* / Q000503:physiopathology / Q000601:surgery*; D003937:Diagnosis, Differential; D016894:Endarterectomy, Carotid / Q000592:standards*; D006801:Humans; D012372:ROC Curve; D012680:Sensitivity and Specificity; D013599:Systole; D018615:Ultrasonography, Doppler, Color / Q000592:standards*; D014481:United States