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Table 3 Evaluation results for prostate cancer detection: Feature selection based on Sensitivity (Results are shown with 95 % confidence interval)

From: Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models

Imaging Number of Sensitivity Specificity Accuracy AUC
modality features     
T2w 96 0.71 [0.54 0.89] 0.44 [0.39 0.49] 0.45 [0.40 0.50] 0.58 [0.48 0.68]
CHB-DWI 90 0.73 [0.58 0.88] 0.78 [0.71 0.85] 0.77 [0.71 0.84] 0.79 [0.73 0.85]
ADC 20 0.76 [0.64 0.88] 0.59 [0.51 0.67] 0.60 [0.52 0.67] 0.68 [0.63 0.74]
CDI 96 0.86 [0.76 0.97] 0.80 [0.75 0.85] 0.79 [0.74 0.84] 0.85 [0.81 0.90]
TFM 1= T2w+ADC 20 0.77 [0.64 0.91] 0.57 [0.49 0.65] 0.59 [0.51 0.66] 0.68 [0.62 0.74]
TFM 2=T2w+ADC+CHB-DWI 208 0.69 [0.54 0.84] 0.79 [0.73 0.84] 0.78 [0.73 0.84] 0.78 [0.72 0.85]
TFM 3=T2w+CDI 196 0.85 [0.75 0.96] 0.81 [0.76 0.86] 0.80 [0.76 0.85] 0.85 [0.81 0.90]
TFM4=T2w+ADC+CDI 216 0.86 [0.76 0.96] 0.81 [0.76 0.86] 0.80 [0.76 0.85] 0.85 [0.81 0.90]
TFM 5=T2w+ADC 300 0.86 [0.75 0.96] 0.81 [0.77 0.86] 0.81 [0.77 0.85] 0.86 [0.83 0.90]
+CHB-DWI+CDI      
TFM 6= T2w+ADC 416 0.86 [0.75 0.97] 0.82 [0.78 0.87] 0.82 [0.78 0.86] 0.86 [0.81 0.91]
+CHB-DWI+CDI      
+ b1 + b2 + b3 + b4