From: Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET
 | Lesion-level distribution | |||
---|---|---|---|---|
Training set | Validation set | Test set | Total | |
Number of lesions | 2302 | 760 | 732 | 3794 |
GE Discovery RXa | 673 | 221 | 129 | 1023 |
Siemens Biograph mCTb | 1629 | 539 | 603 | 2771 |
PSMA-RADS-1A | 149 | 36 | 109 | 294 |
PSMA-RADS-1B | 382 | 129 | 126 | 637 |
PSMA-RADS-2 | 442 | 165 | 228 | 835 |
PSMA-RADS-3A | 225 | 57 | 63 | 345 |
PSMA-RADS-3B | 81 | 32 | 34 | 147 |
PSMA-RADS-3C | 19 | 5 | 7 | 31 |
PSMA-RADS-3D | 15 | 6 | 22 | 43 |
PSMA-RADS-4 | 446 | 139 | 34 | 619 |
PSMA-RADS-5 | 543 | 191 | 109 | 843 |
 | Patient-level distribution | ||
---|---|---|---|
Training + Validation sets | Test set | Total | |
Number of patients | 214 | 53 | 267 |
GE Discovery RXa | 79 | 19 | 98 |
Siemens Biograph mCTb | 135 | 34 | 169 |
PSMA-RADS-1A | 3 | – | 3 |
PSMA-RADS-1B | 2 | 3 | 5 |
PSMA-RADS-2 | 21 | 6 | 27 |
PSMA-RADS-3A | 15 | 5 | 20 |
PSMA-RADS-3B | 12 | 2 | 14 |
PSMA-RADS-3C | 6 | – | 6 |
PSMA-RADS-3D | – | 1 | 1 |
PSMA-RADS-4 | 33 | 5 | 38 |
PSMA-RADS-5 | 122 | 31 | 153 |