Table 6.
Reader | Method | PI-RADS score | Weighted κ value with TSE-Conv | |||||
---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||||
1 |
First set | DNN-N1 | 32 | 0 | 0 | 5 | 3 | 0.947 |
TSE-N1 | 32 | 0 | 0 | 5 | 3 | 0.947 | ||
TSE-Conv | 31 | 0 | 0 | 6 | 3 | - | ||
2 |
DNN-N1 | 33 | 2 | 2 | 2 | 1 | 0.901 | |
TSE-N1 | 33 | 2 | 2 | 2 | 1 | 0.901 | ||
TSE-Conv | 33 | 1 | 2 | 2 | 2 | - | ||
1 |
Second set | DNN-N2 | 29 | 0 | 0 | 8 | 3 | 1.000 |
TSE-N2 | 29 | 0 | 0 | 8 | 3 | 1.000 | ||
TSE-Conv | 29 | 0 | 0 | 8 | 3 | - | ||
2 |
DNN-N2 | 32 | 2 | 1 | 3 | 2 | 1.000 | |
TSE-N2 | 32 | 2 | 2 | 2 | 2 | 0.971 | ||
TSE-Conv | 32 | 2 | 1 | 3 | 2 | - |
N represents the number of acquisitions; DNN, a deep neural network; PI-RADS, prostate imaging-reporting and data system;TSE-Conv, turbo spin echo images from conventional scans.