Research Article
Multimodal Imaging under Artificial Intelligence Algorithm for the Diagnosis of Liver Cancer and Its Relationship with Expressions of EZH2 and p57
Table 1
Statistical diagnosis results of patients in four groups.
| Doppler group | Pathological diagnosis (n = 38) | Total | Malignant | Benign |
| Doppler ultrasound diagnosis (n = 38) | Malignant | 16 | 4 | 22 | Benign | 10 | 8 | 18 | Total | | 26 | 12 | 38 |
| Contrast group | Pathological diagnosis (n = 40) | Total | Malignant | Benign | | CEUS diagnosis (n = 40) | Malignant | 18 | 3 | 21 | Benign | 13 | 6 | 19 | Total | | 31 | 9 | 40 |
| Elastic group | Pathological diagnosis (n = 36) | Total | Malignant | Benign | | Ultrasound elastography diagnosis (n = 36) | Malignant | 16 | 3 | 19 | Benign | 10 | 7 | 17 | Total | | 26 | 10 | 36 |
| Multimodal group | Pathological diagnosis (n = 38) | Total | Malignant | Benign | | Multimodal ultrasound diagnosis (n = 38) | Malignant | 24 | 1 | 25 | Benign | 3 | 10 | 13 | Total | | 27 | 11 | 38 |
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