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©The Author(s) 2024.
Artif Intell Med Imaging. Sep 28, 2024; 5(1): 93993
Published online Sep 28, 2024. doi: 10.35711/aimi.v5.i1.93993
Published online Sep 28, 2024. doi: 10.35711/aimi.v5.i1.93993
Characteristics | Training set (n = 242) | P value | Test set (n = 61) | P value | ||
PNI (n = 148) | PNI+ (n = 94) | PNI (n = 40) | PNI+ (n = 21) | |||
Age, (mean ± SD) (years) | 67.01 ± 10.57 | 64.26 ± 12.06 | 0.063 | 67.33 ± 8.18 | 63.104 ± 8.66 | 0.065 |
Gender | 0.248 | 0.86 | ||||
Male | 85 (58.2) | 54 (39.1) | 20 (64.5) | 11 (35.5) | ||
Female | 63 (65.6) | 33 (34.4) | 20 (66.7) | 10 (33.3) | ||
Smoking | 0.882 | 0.396 | ||||
No | 101 (60.8) | 65 (39.2) | 29 (69.0) | 13 (31.0) | ||
Yes | 47 (51.8) | 29 (38.2) | 11 (57.9) | 8 (42.1) | ||
HGB (g/L) | 126.98 ± 20.67 | 130.69 ± 20.00 | 0.071 | 128.881 ± 14.16 | 128.67 ± 22.28 | 0.965 |
RBC (1012/L) | 4.28 ± 0.62 | 4.40 ± 0.44 | 0.126 | 4.40 ± 0.47 | 4.28 ± 0.48 | 0.339 |
WBC (109/L) | 6.55 ± 1.79 | 6.84 ± 2.19 | 0.265 | 6.18 ± 1.68 | 6.54 ± 1.67 | 0.391 |
PLT (109/L) | 229.14 ± 77.31 | 240.92 ± 76.73 | 0.248 | 231.05 ± 70.18 | 231.62 ± 50.56 | 0.974 |
Lymphocyte(109/L) | 1.61 ± 0.59 | 1.63 ± 0.68 | 0.808 | 1.59 ± 0.68 | 1.71 ± 0.95 | 0.567 |
Monocyte(109/L) | 0.46 ± 0.23 | 0.47 ± 017 | 0.667 | 0.40 ± 0.14 | 0.70 ± 1.02 | 0.1 |
Neutrophil(109/L) | 4.27 ± 1.55 | 4.54 ± 1.94 | 0.243 | 3.96 ± 1.51 | 4.47 ± 1.70 | 0.228 |
TG | 1.47 ± 1.11 | 1.31 ± 0.60 | 0.18 | 1.43 ± 0.72 | 1.59 ± 0.98 | 0.502 |
Cholesterol | 4.58 ± 0.88 | 4.72 ± 0.98 | 0.232 | 4.82 ± 0.89 | 4.91 ± 1.08 | 0.707 |
HDL | 1.12 ± 0.28 | 1.19 ± 0.32 | 0.088 | 1.42 ± 1.51 | 1.13 ± 0.24 | 0.392 |
LDL | 2.79 ± 0.69 | 2.93 ± 0.85 | 0.164 | 2.96 ± 0.84 | 3.18 ± 1.09 | 0.392 |
AproA | 1.24 ± 0.19 | 1.26 ± 0.20 | 0.406 | 1.29 ± 0.17 | 1.22 ± 0.15 | 0.126 |
AproB | 0.89 ± 0.19 | 0.90 ± 0.22 | 0.795 | 0.94 ± 0.18 | 0.89 ± 0.19 | 0.279 |
CEA (≥ 5 ng/mL) | 0.016 | 0.173 | ||||
No | 94 (67.6) | 45 (32.4) | 28 (71.8) | 11 (28.2) | ||
Yes | 54 (52.4) | 49 (47.6) | 12 (54.5) | 10 (45.5) | ||
CA19-9 (≥ 37 U/mL) | 0.003 | 0.052 | ||||
No | 136 (64.8) | 74 (35.2) | 37 (71.2) | 15 (28.8) | ||
Yes | 12 (37.5) | 20 (62.5) | 3 (33.3) | 6 (66.7) | ||
CT T stage | 0.000 | 0.006 | ||||
1/2 | 29 (85.3) | 5 (14.7) | 16 (88.6) | 2 (11.1) | ||
3 | 73 (66.4) | 37 (33.6) | 17 (68.0) | 8 (32.0) | ||
4 | 46 (46.9) | 52 (53.1) | 7 (38.9) | 11 (61.1) |
- Citation: Zhao ZC, Liu JX, Sun LL. Preoperative perineural invasion in rectal cancer based on deep learning radiomics stacking nomogram: A retrospective study. Artif Intell Med Imaging 2024; 5(1): 93993
- URL: https://www.wjgnet.com/2644-3260/full/v5/i1/93993.htm
- DOI: https://dx.doi.org/10.35711/aimi.v5.i1.93993