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. 2021 Jun 21;13(12):3098. doi: 10.3390/cancers13123098

Table 1.

Performance of clinical models and deep radiomic models of BCR prediction by univariate cox proportional hazards regression.

PC (PUTH) VC (BJFH) VC2 (PUPH) p
n = 368 n = 34 n = 83
No. of BCR event (%) 99 (27.1) 16 (47.1) 31 (37.3) 0.016
Age (Median) 70 68.5 68.0 0.275
PSA (Median) 10.7 9.89 13.4 0.883
GG-NB 0.125
1 138 13 29
2 114 10 23
3 63 6 14
4 89 3 11
5 81 2 6
cT 0.436
2 221 15 44
3 264 19 39
4 9
pT 0.687
1 2 1
2 303 22 57
3 165 12 22
4 15 3
GG-RP 0.173
1 82 4 13
2 127 10 28
3 93 8 18
4 65 9 8
5 118 3 16
SM 0.172
Positive 170 12 38
Negative 315 21 45
EPE 0.639
Positive 171 11 25
Negative 314 23 58
SVI 0.940
Positive 67 4 11
Negative 418 30 72
CAPRA 0.248
Low 53 9 10
Intermediate 168 12 34
High 148 13 39

Note: BCR: biochemical recurrence; PC, primary cohort; VC, validation cohort; PUTH, Peking University Third Hospital; BJFH, Beijing Friendship Hospital; PUPH, Peking University People’s Hospital; PSA, prostate specific antigen; GG-NB, Gleason grade group of needle biopsy; cT. clinical T stage; pT, pathological T stage; GG-RP, Gleason grade group of radical prostatectomy; SM, surgical margin; EPE, extracapsular extension; SVI, seminal vesicle invasion; CAPRA, Cancer of Prostate Risk Assessment Score.