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Table 3 ROC analysis for detection of abnormal segments by stress MBF and MPR

From: Influence of the arterial input sampling location on the diagnostic accuracy of cardiovascular magnetic resonance stress myocardial perfusion quantification

AIF sampling location AUC
(95 % CI)
Sensitivity, % Specificity, % Optimal cut-off p-value
Stress MBF  
 Left atrium 0.83 (0.79–0.87) 86 73 2.24 < 0.001
 Basal left ventricle 0.81 (0.77–0.85) 91 63 2.63 < 0.001
 Mid-left ventricle 0.71 (0.66–0.75) 79 52 2.75 < 0.001
 Apical left ventricle 0.78 (0.73–0.82) 91 59 2.65 < 0.001
 Aortic root 0.90 (0.87–0.93) 80 85 2.02 < 0.001
MPR  
 Left atrium 0.82 (0.78–0.87) 85 68 2.27 < 0.001
 Basal left ventricle 0.81 (0.77–0.85) 86 67 2.25 < 0.001
 Mid-left ventricle 0.69 (0.64–0.73) 77 53 2.42 < 0.001
 Apical left ventricle 0.80 (0.76–0.84) 90 70 2.03 < 0.001
 Aortic root 0.83 (0.79–0.87) 75 81 1.88 < 0.001
  1. Results based on 300 normal and 100 abnormal segments as diagnosed visually. The optimal cut-off indicates the value below which the segment is classified as positive (inclusive). The cut-off for stress MBF is measured in units of mL/g/min
  2. AUC area under the curve, AIF arterial input function, CI confidence interval, MBF myocardial blood flow, MPR myocardial perfusion reserve