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. 2022 Dec 15;13:7761. doi: 10.1038/s41467-022-34945-8

Table 1.

Baseline characteristics of biopsy cores from the training data and the six different test datasets used for evaluation of the AI system and the conformal predictor

ISUP distribution of biopsies in training and test sets
Cancer grade Training sets Test sets
Deep neural network training set (n = 6951) Conformal prediction calibration set (n = 837) (1) Baseline test set (n = 794) (2) Imagebase (n = 87) (3) External scanner (n = 449) (4) External scanner and external pathology laboratory (n = 330) (5) External scanner and external pathology laboratory (n = 1220) (6) Rare prostate tissue morphology (n = 179)
Benign 3724 (54%) 471 (56%) 440 (55%) 0 (0%) 91 (20%) 108 (33%) 861 (71%) 109 (61%)
ISUP 1 1530 (22%) 176 (21%) 172 (22%) 21 (24%) 183 (41%) 65 (20%) 206 (17%) 51 (28%)
ISUP 2 539 (8%) 80 (10%) 62 (8%) 32 (37%) 64 (14%) 63 (19%) 61 (5%) 19 (11%)
ISUP 3 263 (4%) 35 (4%) 31 (4%) 15 (17%) 33 (7%) 49 (15%) 45 (4%) 0 (0%)
ISUP 4 469 (7%) 51 (6%) 41 (5%) 8 (9%) 47 (10%) 19 (6%) 22 (2%) 0 (0%)
ISUP 5 426 (6%) 24 (3%) 48 (6%) 11 (13%) 31 (7%) 26 (8%) 25 (2%) 0 (0%)

The Imagebase dataset was independently graded by 23 uropathologists (the mode ISUP grade is shown in the table). ISUP: International Society of Urological Pathology. ISUP 1 (Gleason score 3 + 3), ISUP 2 (Gleason score 3 + 4), ISUP 3 (Gleason score 4 + 3), ISUP 4 (Gleason score 4 + 4, 3 + 5, and 5 + 3), ISUP 5 (Gleason score 4 + 5, 5 + 4, and 5 + 5).