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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

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