. 2013 Jun;267(3):787–796. doi: 10.1148/radiol.13121454

Table 4.

Effectiveness of Quantitative Image Features, Individually and in Combination, in the Differentiation of Prostate Cancer Foci from Normal Tissue

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Note.—Unless otherwise indicated, results change little if the five patients who underwent 3.0-T MR imaging are included in the analysis; change in AUC was no more than 0.01, and changes in sensitivity and specificity (including the 95% confidence interval) were no more than 2.7% with fixed cutoff values.

^{^*}

Data are maximum likelihood estimate ± standard error.

^{^†}

Empirical sensitivity and specificity values were calculated from the data and fall close to the fitted ROC curve. Data in parentheses are raw data, and data in brackets are 95% confidence intervals, which are exact binomial estimates.

^{^‡}

Example of image feature cutoff values that yield the listed sensitivity and specificity values.

^{^§}

Two cases were excluded from the analysis because of image artifacts.

^{^‖}

The combination of 10th percentile ADC, average ADC, and T2 skewness with a linear discriminant analysis classifier. P values are for AUC comparison with 10th percentile ADC alone and were .06 for both techniques.