Copyright
©The Author(s) 2024.
World J Hepatol. Nov 27, 2024; 16(11): 1290-1305
Published online Nov 27, 2024. doi: 10.4254/wjh.v16.i11.1290
Published online Nov 27, 2024. doi: 10.4254/wjh.v16.i11.1290
Methods | Advantages | Flaws | Patients (n) | AUROC | Sensitivity (%) | Specificity (%) | |||
Imaging modalities | Quantitative ultrasound biomarkers | Ultrasound attenuation coefficient[31] | Low cost and wide availability; High sensitivity and specificity in grading | The diagnostic performance is affected by the presence of fibrosis. | 125 (Excluding liver fibrosis) | S0 vs S1, S2, S3 | 0.951 | 82.1 | 95.5 |
S0, S1 vs S2, S3 | 0.987 | 94.3 | 93.9 | ||||||
S0, S1, S2 vs S3 | 0.931 | 94.1 | 85.5 | ||||||
Ultrasound-derived fat fraction[32] | Low cost and wide availability; Real-time data collection | High interobserver variability | 46 | S0 vs S1, S2, S3 | 0.950 | 90.0 | 94.0 | ||
S0, S1 vs S2, S3 | 0.980 | ||||||||
CT | Contrast-enhanced CT[33] | Common in clinical practice; Quantify liver fat without additional radiation exposure | Exposes patients to ionizing radiation | 1204 | Steatosis≥ 5% | 0.669 | 34.0 | 94.2 | |
Steatosis≥ 10% | 0.854 | ||||||||
Steatosis ≥ 15% | 0.962 | 75.9 | 95.7 | ||||||
Non-contrast dual-energy CT[34] | Reliable for detection of moderate steatosis | Influenced by varying contrast bolus and scan timing, cardiac output | 128 | Right lobe | 0.834 | 57.0 | 94.0 | ||
Left lobe | 0.872 | 68.0 | 90.0 | ||||||
MR-PDFF[35] | It is used as a reference for testing other clinical or biochemical markers | Expensive; availability-limited; unable to assess liver inflammation, ballooning | 77 | S0 vs S1, S2, S3 | 0.989 | 97 | 100 | ||
S0, S1 vs S2, S3 | 0.825 | 61 | 90 | ||||||
S0, S1, S2 vs S3 | 0.893 | 68 | 91 | ||||||
Serum biomarkers | Laboratory parameter-based model | NAFLD bridge score[36] | Data availability and cost-effectiveness | Unable to differentiate NASH from simple steatosis with high sensitivity and specificity | 422 | With and without NAFLD | 0.880 | 95 | 87 |
- Citation: Huang XQ, Wu L, Xue CY, Rao CY, Fang QQ, Chen Y, Xie C, Rao SX, Chen SY, Li F. Non-invasively differentiate non-alcoholic steatohepatitis by visualizing hepatic integrin αvβ3 expression with a targeted molecular imaging modality. World J Hepatol 2024; 16(11): 1290-1305
- URL: https://www.wjgnet.com/1948-5182/full/v16/i11/1290.htm
- DOI: https://dx.doi.org/10.4254/wjh.v16.i11.1290