TABLE 4.
CL-bpMRI | DL-bpMRI | Difference (CI) | P | |
---|---|---|---|---|
Patient based | ||||
Reader 1 | ||||
Sensitivity | 0.65 | 0.65 | 0.00 (−0.33, 0.29) | 1.00 |
Specificity | 0.75 | 0.81 | 0.06 (−0.07, 0.19) | 0.25 |
PPV | 0.41 | 0.41 | 0.00 (−0.05, 0.03) | 0.44 |
NPV | 0.87 | 0.87 | 0.00 (−0.05, 0.05) | 0.77 |
AUC | 0.77 | 0.78 | 0.00 (−0.12, 0.13) | 0.98 |
Reader 2 | ||||
Sensitivity | 0.59 | 0.65 | 0.06 (−0.18, 0.29) | 0.56 |
Specificity | 0.62 | 0.51 | −0.11 (−0.26, 0.06) | 0.14 |
PPV | 0.23 | 0.23 | 0.01 (−0.07, 0.07) | 0.69 |
NPV | 0.86 | 0.86 | 0.00 (−0.08, 0.08) | 0.93 |
AUC | 0.65 | 0.66 | 0.00 (−0.13, 0.14) | 0.95 |
Reader 3 | ||||
Sensitivity | 0.29 | 0.29 | 0.00 (−0.21, 0.21) | 1.00 |
Specificity | 0.83 | 0.87 | 0.05 (−0.04, 0.13) | 0.18 |
PPV | 0.33 | 0.33 | 0.00 (−0.12, 0.11) | 0.42 |
NPV | 0.81 | 0.81 | 0.00 (−0.03, 0.03) | 0.64 |
AUC | 0.57 | 0.60 | 0.04 (−0.07, 0.15) | 0.52 |
Lesion based | ||||
Reader 1 | ||||
Sensitivity | 0.53 | 0.53 | 0.00 (−0.26, 0.31) | 1.00 |
Specificity | 0.72 | 0.79 | 0.07 (−0.06, 0.18) | 0.39 |
PPV | 0.33 | 0.39 | 0.06 (−0.20, 0.27) | 0.67 |
NPV | 0.86 | 0.87 | 0.01 (−0.08, 0.11) | 0.85 |
AUC | 0.71 | 0.70 | −0.01a | 0.92 |
Reader 2 | ||||
Sensitivity | 0.47 | 0.59 | 0.12 (−0.14, 0.40) | 0.49 |
Specificity | 0.60 | 0.50 | −0.1 (−0.24, 0.04) | 0.25 |
PPV | 0.24 | 0.24 | 0.00 (−0.15, 0.17) | 0.98 |
NPV | 0.81 | 0.82 | 0.01 (−0.11, 0.15) | 0.92 |
AUC | 0.58 | 0.62 | 0.04a | 0.73 |
Reader 3 | ||||
Sensitivity | 0.29 | 0.29 | 0.00 (−0.28, 0.26) | 1.00 |
Specificity | 0.83 | 0.87 | 0.05 (−0.04, 0.14) | 0.46 |
PPV | 0.31 | 0.39 | 0.07 (−0.23, 0.38) | 0.69 |
NPV | 0.81 | 0.82 | 0.01 (−0.09, 0.12) | 0.90 |
AUC | 0.57 | 0.60 | 0.04a | 0.70 |
Confidence interval not provided as data for lesion-based AUC is not paired.
CL-bpMRI = conventional biparametric MRI; DL-bpMRI = deep learning based biparametric MRI; CI = confidence interval; PPV = positive predictive value; NPV = negative predictive value; AUC = area under the receiver operating characteristic curve.