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Table 4 Features based predictors that discriminate aggressive grade (Gleason ≥7 Vs ≤ 6) prostate cancers a) univariate semantic predictors b) multivariable semantic predictors (up to 3 semantics) c) PIRADS based predictor

From: Radiological semantics discriminate clinically significant grade prostate cancer

 

Features

Error

Sensitivity/Specificity

PPV/NPV

E [AUC],σ, [CI]

a) Single Predictive Semantic: ≥ GS 7 Vs =6 GS || Samples: 90 (57 Vs 33)

 1

F4:ADC-intensity

0.384

0.821/0.342

0.687/0.505

0.678 (0.114) [0.401,0.905]

 2

F8:enhanced-homogenicity-R

0.379

1/0

0.636/0

0.583 (0.099) [0.356,0.765]

 3

F7:early-enhancement-R

0.393

0.96/0.027

0.618/0.014

0.57 (0.116) [0.281,0.758]

 4

F11:extraprostatic-extension-R

0.378

1/0

0.628/0

0.542 (0.115) [0.314,0.749]

 5

F3:T2-intensity

0.396

0.965/0.016

0.637/0.005

0.549 (0.119) [0.254,0.751]

b) Multivariable Semantic Predictor: ≥ GS 7 Vs =6 GS || Samples: 90 (57 Vs 33)

 1

F3:T2-intensity;F4:ADC-intensity: F8:enhanced-homogenicity-R

0.333

0.793/0.465

0.719/0.576

0.701 (0.124), [0.426,0.94]

 2

F4:ADC-intensity;F8:enhanced-homogenicity-R:F11:extraprostatic-extension-R

0.329

0.799/0.464

0.73/0.557

0.687 (0.118), [0.46,0.94]

 3

F2:border;F4:ADC-intensity: F8:enhanced-homogenicity-R

0.334

0.819/0.412

0.681/0.6

0.706 (0.095), [0.474,0.886]

 4

F4:ADC-intensity;F5:homogeneity-R:F8:enhanced-homogenicity-R

0.341

0.808/0.418

0.712/0.553

0.698 (0.118), [0.457,0.948]

c) PIRADS as a Predictor: ≥ GS 7 Vs = 6 GS || Samples: 90 (57 Vs 33)

 1

PIRADS (> = 3 Cancer)

0.34 (0.096)

0.981/0.104

0.654/0.483

0.542 (0.06), [0.458,0.701]

 2

PIRADS (> = 4 Cancer)

0.296 (0.091)

0.981/0.22

0.686/0.717

0.6 (0.08), [0.462,0.752]

 3

PIRADS (> = 5 Cancer)

0.531 (0.101)

0.22/0.893

0.752/0.4

0.557 (0.083), [0.371,0.707]