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©The Author(s) 2024.
World J Gastroenterol. Jul 7, 2024; 30(25): 3166-3178
Published online Jul 7, 2024. doi: 10.3748/wjg.v30.i25.3166
Published online Jul 7, 2024. doi: 10.3748/wjg.v30.i25.3166
Table 1 The initial patient features of the experimental cohort were assessed, n (%)
Variable | All patients (n = 720) | Benign (n = 200) | Malignant (n = 520) | P value1 |
Clinical data | ||||
Age (years) | 55.2 ± 12.0 | 54.6 ± 12.5 | 55.5 ± 11.8 | 0.353 |
Sex (%) | 0.423 | |||
Men | 572 (79.4) | 155 (77.5) | 417 (80.2) | |
Women | 148 (20.6) | 45 (22.5) | 103 (19.8) | |
Body mass index (kg/m2) | 24.0 ± 3.3 | 23.9 ± 3.2 | 24.0 ± 3.4 | 0.678 |
Nationality (%) | 0.361 | |||
Han nationality | 698 (96.9) | 192 (96) | 506 (97.3) | |
Not Han nationality | 22 (3.1) | 8 (4) | 14 (2.7) | |
History of tumor (%) | 0.210 | |||
Yes | 62 (8.6) | 13 (6.5) | 49 (9.4) | |
No | 658 (91.4) | 187 (93.5) | 471 (90.6) | |
Laboratory data | ||||
ALT (IU/L) | 44.6 ± 105.4 | 37.8 ± 60.3 | 47.2 ± 118.2 | 0.284 |
AST (IU/L) | 41.5 ± 100.5 | 34.8 ± 62.1 | 44 ± 111.8 | 0.269 |
GGT (IU/L) | 83.9 ± 126.4 | 75.1 ± 139.3 | 87.4 ± 121.0 | 0.243 |
Prothrombin time (s) | 12.1 ± 3.1 | 11.9 ± 1.2 | 12.2 ± 3.6 | 0.356 |
INR | 1.0 ± 0.4 | 1.0 ± 0.1 | 1.0 ± 0.5 | 0.372 |
PLT (109/L) | 182.1 ± 73.2 | 207.4 ± 73.7 | 172.4 ± 70.7 | < 0.001 |
Albumin (g/L) | 41.3 ± 4.1 | 41.3 ± 4.9 | 41.4 ± 3.8 | 0.780 |
Total bilirubin (µmol/L) | 67.6 ± 5.3 | 67.5 ± 5.5 | 67.7 ± 5.3 | 0.638 |
Ultrasonic data | 0.008 | |||
Single | 562 (78.1) | 143 (71.5) | 419 (80.6) | |
Multiple | 158 (21.9) | 57 (28.5) | 101 (19.4) | |
Diameter (cm) | 5.3 ± 3.0 | 5.2 ± 3.5 | 5.3 ± 2.8 | 0.629 |
Shape (%) | 0.102 | |||
Roundness | 363 (50.4) | 91 (45.5) | 272 (52.3) | |
Ellipse | 357 (49.6) | 109 (54.5) | 248 (47.7) | |
Echo (%) | 0.064 | |||
Hypoecho | 236 (32.8) | 76 (38.0) | 160 (30.8) | |
Hyperecho | 484 (67.2) | 124 (62.0) | 360 (69.2) | |
Edge (%) | 0.010 | |||
Smooth | 398 (55.3) | 126 (74.4) | 272 (52.3) | |
Coarse | 322 (44.7) | 74 (25.6) | 248 (47.7) | |
Cirrhosis (%) | < 0.001 | |||
Yes | 239 (33.2) | 35 (17.5) | 204 (39.2) | |
No | 481 (66.8) | 165 (82.5) | 316 (60.8) | |
Blood (%) | < 0.001 | |||
Yes | 462 (64.2) | 97 (48.5) | 365 (70.2) | |
No | 258 (35.8) | 103 (51.5) | 155 (29.8) | |
Emax of the tumors (m/s) | 2.4 ± 1.0 | 2.1 ± 0.6 | 2.5 ± 1.1 | < 0.001 |
Emean of the tumors (m/s) | 1.8 ± 0.5 | 1.6 ± 0.4 | 1.9 ± 0.5 | < 0.001 |
Emax of the periphery of tumors (m/s) | 1.6 ± 1.0 | 1.3 ± 0.4 | 1.7 ± 1.2 | < 0.001 |
Emean of the periphery of tumors (m/s) | 1.5 ± 0.7 | 1.3 ± 0.4 | 1.5 ± 0.7 | < 0.001 |
Table 2 Both univariable and multivariable logistic regression approaches to assess the probability of liver cancer in the experimental cohort (n = 720)
Variable | Univariable | Multivariable | ||
Odds ratio | P value | Odds ratio | P value | |
Clinical data | ||||
Age (years) | 1.00 (0.99, 1.02) | 0.352 | ||
Sex (%) | 0.85 (0.57, 1.26) | 0.424 | ||
Body mass index (kg/m2) | 1.01 (0.96, 1.06) | 0.678 | ||
Nationality (%) | 0.66 (0.27, 1.61) | 0.364 | ||
History of tumor (%) | 1.50 (0.79, 2.82) | 0.213 | ||
Laboratory data | ||||
ALT (IU/L) | 1.00 (0.99, 1.00) | 0.306 | ||
AST (IU/L) | 1.00 (0.99, 1.00) | 0.299 | ||
GGT (IU/L) | 1.00 (0.99, 1.00) | 0.249 | ||
Prothrombin time (s) | 1.00 (0.93, 1.24) | 0.328 | ||
INR | 2.94 (0.50, 17.38) | 0.235 | ||
PLT (109/L) | 1.00 (0.99, 1.00) | < 0.001 | 1.00 (0.99, 1.00) | < 0.001 |
Albumin (g/L) | 1.00 (0.97, 1.05) | 0.780 | ||
Total bilirubin (µmol/L) | 1.01 (0.98, 1.04) | 0.638 | ||
Ultrasonic data | ||||
Number (%) | 0.61 (0.42, 0.89) | 0.009 | 0.61 (0.40, 0.95) | 0.027 |
Diameter (cm) | 1.01 (0.96, 1.07) | 0.628 | ||
Shape (%) | 0.76 (0.55, 1.06) | 0.102 | ||
Echo (%) | 1.38 (0.98, 1.94) | 0.065 | ||
Edge (%) | 1.56 (1.11, 2.17) | 0.010 | ||
Cirrhosis (%) | 3.04 (2.03, 4.57) | < 0.001 | ||
Blood (%) | 2.50 (1.79, 3.50) | < 0.001 | 2.51 (1.72, 3.67) | < 0.001 |
Emax of the tumors (m/s) | 2.86 (2.10, 3.91) | < 0.001 | 2.08 (1.50, 2.89) | < 0.001 |
Emean of the tumors (m/s) | 3.95 (2.60, 6.01) | < 0.001 | ||
Emax of the periphery of tumors (m/s) | 5.72 (3.51, 9.34) | < 0.001 | ||
Emean of the periphery of tumors (m/s) | 5.84 (3.54, 9.63) | < 0.001 | 2.70 (1.54, 4.73) | 0.001 |
Table 3 Diagnostic performance of multivariable model, maximal elasticity of the tumors, mean elasticity of the periphery of tumors, platelet count, cirrhosis, blood and number for the diagnosis of malignant tumor in the experimental cohort (n = 720)
Parameter | AUC | Cutoff value1 | Sensitivity (%) | Specificity (%) | Positive predictive value (%) | Negative predictive value (%) | Diagnostic accuracy (%) |
Multivariable model | 0.77 (0.73, 0.81) | 0.653 | 84 | 61 | 85 | 60 | 78 |
Emean of the periphery of tumors | 0.69 (0.64, 0.73) | 1.375 | 59 | 71 | 84 | 40 | 62 |
Emax of the tumors | 0.67 (0.63, 0.72) | 2.205 | 61 | 65 | 82 | 39 | 62 |
Edge echo | 0.61 (0.57, 0.65) | 0.500 | 39 | 83 | 85 | 34 | 51 |
Blood | 0.62 (0.56, 0.66) | 0.500 | 70 | 52 | 79 | 40 | 065 |
Number | 0.46 (0.41, 0.50) | 0.500 | 19 | 72 | 64 | 25 | 34 |
PLT | 0.34 (0.30, 0.39) | 39.500 | 100 | 1 | 72 | 5 | 72 |
- Citation: Jiang D, Qian Y, Gu YJ, Wang R, Yu H, Dong H, Chen DY, Chen Y, Jiang HZ, Tan BB, Peng M, Li YR. Predicting hepatocellular carcinoma: A new non-invasive model based on shear wave elastography. World J Gastroenterol 2024; 30(25): 3166-3178
- URL: https://www.wjgnet.com/1007-9327/full/v30/i25/3166.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i25.3166