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Table 5 ROC curve analysis for binary classification of hormonal cancer subtype

From: Clustering subtypes of breast cancer by combining immunohistochemistry profiles and metabolism characteristics measured using FDG PET/CT

Variable Criteria Sensitivity (%) Specificity (%) P AUC
Nuclear Grade 2 99.1 100 < 0.001 0.995
Ki-67 9 % 52.8 85.5 < 0.001 0.733
p53 60 % 12.3 100 0.082 0.572
SUV 2.310 65.1 65.8 < 0.001 0.677
EGFR positive 2.8 98.7 0.468 0.508
ER 6 11.3 98.7 0.372 0.523