TABLE 6.
Parameter maps | Training set | Test set | ||||
---|---|---|---|---|---|---|
AUEC (±SE) | AUEC (±SE) | Sensitivity | Specificity | NPV | PPV | |
IE | 0.75 (0.06) | 0.78 (0.12) | 67% | 100% | 91% | 100% |
OE | 0.81 (0.05) | 0.78 (0.10) | 56% | 97% | 89% | 83% |
AUEC | 0.77 (0.06) | 0.76 (0.11) | 67% | 97% | 91% | 86% |
IE, initial enhancement; OE, overall enhancement; AUEC, area under the enhancement curve; SE, standard error; NPV, negative predictive value; PPV, positive predictive value.
IE map features – age, skewness, energy, f6 (sum average), low gray run emphasis
OE map features – age, skewness, f6, high gray run emphasis, long run high gray emphasis
AUEC map features – age, skewness, energy, f6, f8 (sum entropy).