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©The Author(s) 2022.
World J Gastroenterol. Jun 28, 2022; 28(24): 2733-2747
Published online Jun 28, 2022. doi: 10.3748/wjg.v28.i24.2733
Published online Jun 28, 2022. doi: 10.3748/wjg.v28.i24.2733
Table 4 Receiver operating characteristic results of radiomic analysis based on most discriminant factors in portal venous phase and histogram parameters to discriminate between microvascular invasion+ and microvascular invasion- groups
MVI (-) | MVI (+) | AUC | Sensitivity | Specificity | P value | Cut-off value | |
MDF | (7.84 ± 9.26) × 10-3 | (-4.30 ± 7.00) × 10-3 | 0.85 (0.81-0.90) | 67% | 90% | < 0.001 | 4.17 × 10-3 |
Histogram parameters | |||||||
Mean | (1.24 ± 0.24) × 102 | (1.08 ± 0.24) × 102 | 0.69 (0.63-0.75) | 78% | 54% | < 0.001 | 106.6 |
Variance | (3.07 ± 4.11) × 102 | (4.30 ± 3.59) × 102 | 0.67 (0.61-0.74) | 80% | 50% | < 0.001 | 165.9 |
Skewness | (1.93 ± 6.11) × 10-1 | (1.87 ± 5.85) × 10-1 | 0.50 (0.44-0.57) | 16% | 88% | 0.09 | 7.76 × 10-1 |
Kurtosis | (0.60 ± 1.20) | (0.62 ± 1.19) | 0.51 (0.44-0.57) | 57% | 51% | 0.787 | 1.62 × 10-1 |
Perc.01% | (91.84 ± 30.33) | (67.16 ± 24.85) | 0.74 (0.68-0.80) | 50% | 90% | < 0.001 | 101.5 |
Perc.10% | (1.06 ± 0.29) × 102 | (0.84 ± 0.25) × 102 | 0.72 (0.67-0.78) | 56% | 81% | < 0.001 | 107.5 |
Perc.50% | (1.25 ± 0.24) × 102 | (1.07 ± 0.24) × 102 | 0.69 (0.64-0.75) | 78% | 55% | < 0.001 | 106.5 |
Perc.90% | (1.44 ± 0.27) × 102 | (1.32 ± 0.27) × 102 | 0.62 (0.56-0.68) | 63% | 61% | < 0.001 | 137.5 |
Perc.99% | (1.61 ± 0.31) × 102 | (1.56 ± 0.34) × 102 | 0.55 (0.49-0.61) | 35% | 77% | 0.179 | 176.5 |
- Citation: Li YM, Zhu YM, Gao LM, Han ZW, Chen XJ, Yan C, Ye RP, Cao DR. Radiomic analysis based on multi-phase magnetic resonance imaging to predict preoperatively microvascular invasion in hepatocellular carcinoma. World J Gastroenterol 2022; 28(24): 2733-2747
- URL: https://www.wjgnet.com/1007-9327/full/v28/i24/2733.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i24.2733