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©The Author(s) 2023.
World J Gastrointest Oncol. Jul 15, 2023; 15(7): 1271-1282
Published online Jul 15, 2023. doi: 10.4251/wjgo.v15.i7.1271
Published online Jul 15, 2023. doi: 10.4251/wjgo.v15.i7.1271
Table 1 Clinical and endoscopic characteristics of patients with colorectal adenoma and early colorectal cancer in model cohorts
Variables | CRA (n = 287) | ECRC (n = 243) | P value |
Sex | 0.296 | ||
Male (n, %) | 191 (66.6) | 172 (70.8) | |
Female (n, %) | 96 (33.4) | 71 (29.2) | |
Age (yr) (mean ± SD) | 60.86 ± 10.37 | 64.65 ± 9.91 | 0.146 |
Type | 0.086 | ||
0-I (n, %) | 210 (73.2) | 180 (74.1) | |
0-II (n, %) | 45 (15.7) | 25 (10.3) | |
LST (n, %) | 32 (11.1) | 38 (15.6) | |
Location | 0 | ||
Rectum (n, %) | 26 (9.1) | 54 (22.2) | |
Left semicolon (n, %) | 140 (48.8) | 136 (56.0) | |
Right semicolon (n, %) | 121 (42.2) | 53 (21.8) | |
Size (mm, mean ± SD) | 10.36 ± 5.61 | 19.28 ± 11.36 | 0 |
Size (mm) | 0 | ||
< 10 (n, %) | 147 (51.2) | 25 (10.3) | |
≥ 10 (n, %) | 140 (48.8) | 218 (89.7) | |
Size (mm) | 0 | ||
≤ 20 (n, %) | 257 (89.5) | 129 (53.1) | |
> 20 (n, %) | 30 (10.5) | 114 (46.9) | |
White-light endoscopy | |||
Hyperemia (n, %) | 76 (26.5) | 160 (65.8) | 0 |
Erosion (n, %) | 3 (1.0) | 38 (15.6) | 0 |
Acanthosis (n, %) | 57 (19.9) | 166 (68.3) | 0 |
Lobulation (n, %) | 66 (23.0) | 100 (41.2) | 0 |
Depression (n, %) | 12 (4.2) | 74 (30.5) | 0 |
Expansive appearance (n, %) | 37 (12.9) | 63 (25.9) | 0 |
Large nodule (n, %) | 15 (5.2) | 44 (18.1) | 0 |
Uneven surface (n, %) | 24 (8.4) | 125 (51.4) | 0 |
Table 2 Risk factors for early colorectal cancer in the multivariable logistic regression model
Variable | Univariate Model | Multivariate Model | ||
P value | OR (95%CI) | β | P value | |
Size | < 0.001 | 5.233 (2.008-13.636) | 1.655 | 0.001 |
Left semicolon | < 0.001 | 2.338 (1.329-4.111) | 0.849 | 0.003 |
Rectum | < 0.001 | 3.715 (1.692-8.160) | 1.312 | 0.001 |
Hyperemia | < 0.001 | 1.305 (0.756-2.251) | 0.266 | 0.339 |
Erosion | < 0.001 | 3.848 (0.820-18.052) | 1.348 | 0.088 |
Acanthosis | < 0.001 | 5.199 (3.057-8.842) | 1.648 | 0 |
Lobulation | < 0.001 | 1.276 (0.729-2.233) | 0.243 | 0.394 |
Depression | < 0.001 | 5.162 (2.216-12.021) | 1.641 | 0 |
Expansive appearance | < 0.001 | 0.910 (0.471-1.756) | -0.095 | 0.778 |
Large nodule | < 0.001 | 1.146 (0.480-2.732) | 0.136 | 0.759 |
Uneven surface | < 0.001 | 5.583 (3.030-10.286) | 1.72 | 0 |
Table 3 Sensitivity, specificity, and accuracy in histology prediction during the pretraining test and posttraining test
Group | Pretraining test (95%CI) | Posttraining test (95%CI) | P value |
LEE | |||
Sensitivity | 57.6 (48.5-66.4) | 75.5 (67.0-82.4) | 0.004 |
Specificity | 72.3 (61.8-80.5) | 82.4 (74.2-88.5) | 0.032 |
Accuracy | 64.2 (56.4-70.3) | 80.2 (71.3-87.6) | < 0.001 |
HEE | |||
Sensitivity | 71.2 (60.4-80.1) | 80.4 (71.6-88.1) | 0.043 |
Specificity | 82.1 (73.8-88.2) | 88.2 (81.5-95.3) | 0.223 |
Accuracy | 76.5 (69.3-83.6) | 86.0 (80.2-91.7) | 0.071 |
- Citation: Wang YD, Wu J, Huang BY, Guo CM, Wang CH, Su H, Liu H, Wang MM, Wang J, Li L, Ding PP, Meng MM. Development and validation of an online calculator to predict the pathological nature of colorectal tumors. World J Gastrointest Oncol 2023; 15(7): 1271-1282
- URL: https://www.wjgnet.com/1948-5204/full/v15/i7/1271.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v15.i7.1271