From: A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors
Testing set 1 | Â | Â | Â | Â |
Variables | Total (n = 70) | Benign (n = 44) | Malignant (n = 26) | p |
Age, Mean ± SD | 43.29 ± 12.9 | 38.89 ± 11.42 | 50.73 ± 11.99 | < 0.01 |
Height, Mean ± SD | 159.17 ± 3.86 | 159.57 ± 3.86 | 158.5 ± 3.85 | 0.27 |
Weight, Mean ± SD | 57.49 ± 6.97 | 56.27 ± 6.42 | 59.54 ± 7.5 | 0.07 |
BI-RADS, n (%) | Â | Â | Â | < 0.001 |
2 | 14 (20) | 14 (32) | 0 (0) | Â |
3 | 14 (20) | 14 (32) | 0 (0) | Â |
4Â A | 11 (16) | 9 (20) | 2 (8) | Â |
4B | 14 (20) | 7 (16) | 7 (27) | Â |
4Â C | 8 (11) | 0 (0) | 8 (31) | Â |
5 | 9 (13) | 0 (0) | 9 (35) | Â |
Max. size, Median (Q1, Q3) | 8 (6, 14) | 7 (5.75, 11) | 12.5 (8, 15) | 0.001 |
Testing set 2 | Â | Â | Â | Â |
Variables | Total (n = 97) | Benign (n = 58) | Malignant (n = 39) | p |
Age, Median (Q1, Q3) | 40 (31, 50) | 36 (28.5, 41) | 49 (43, 58.5) | < 0.01 |
Height, Median (Q1, Q3) | 158 (155, 162) | 159 (156, 2.75) | 158 (155, 162) | 0.87 |
Weight, Median (Q1, Q3) | 57 (52, 62) | 55.5 (51, 60) | 60 (56.5, 64.5) | < 0.01 |
BI-RADS, n (%) | Â | Â | Â | < 0.01 |
2 | 20 (21) | 20 (34) | 0 (0) | Â |
3 | 19 (20) | 19 (33) | 0 (0) | Â |
4Â A | 14 (14) | 13 (22) | 1 (3) | Â |
4B | 15 (15) | 6 (10) | 9 (23) | Â |
4Â C | 15 (15) | 0 (0) | 15 (38) | Â |
5 | 14 (14) | 0 (0) | 14 (36) | Â |
Max. size, Median (Q1, Q3) | 13 (9, 23) | 11.5 (7, 18.75) | 17 (12.5, 24) | < 0.01 |