Copyright: ©Author(s) 2026.
World J Hepatol. Mar 27, 2026; 18(3): 116233
Published online Mar 27, 2026. doi: 10.4254/wjh.v18.i3.116233
Published online Mar 27, 2026. doi: 10.4254/wjh.v18.i3.116233
Table 1 Comparison of major imaging modalities for hepatocellular carcinoma
| Modality | Advantages | Limitations |
| CT | (1) Rapid, whole-liver coverage; (2) High spatial resolution for vascular and calcified structures; and (3) Widely available with standardized interpretation | (1) Ionizing radiation and contrast-related risks; (2) Limited soft-tissue contrast; (3) Lower sensitivity for sub-centimeter lesions; and (4) Susceptible to respiratory artifacts |
| MRI | (1) Excellent soft-tissue contrast and multi-parametric capability; (2) Specific contrast agents improve HCC detection accuracy; (3) Functional imaging (e.g., DWI, elastography); and (4) No ionizing radiation | (1) Long acquisition time and high cost; (2) Contraindicated for patients with metallic implants; (3) Limited availability; and (4) Less effective in showing calcifications |
| US | (1) Real-time and dynamic imaging of hepatic blood flow; (2) Useful for biopsy guidance and follow-up; (3) Contrast-enhanced US improves detection of small lesions; and (4) Low cost and radiation-free | (1) Highly operator-dependent; (2) Reduced accuracy in obese patients or with bowel gas; (3) Low sensitivity for sub-centimeter HCC; and (4) Limited for definitive qualitative diagnosis |
- Citation: Zhou ZX, Xiao JJ, Ning ZX. Advances in artificial intelligence for imaging-based diagnosis of hepatocellular carcinoma. World J Hepatol 2026; 18(3): 116233
- URL: https://www.wjgnet.com/1948-5182/full/v18/i3/116233.htm
- DOI: https://dx.doi.org/10.4254/wjh.v18.i3.116233