To evaluate the feasibility of fractal analysis using contrast-enhanced CT for assessing microvascular invasion (MVI) status in hepatocellular carcinoma (HCC) patients and its association with postoperative survival outcomes, highlighting the critical role of MVI in prognosis.
Key Findings:
Fractal analysis may provide objective metrics for predicting MVI in HCC patients, potentially improving diagnostic accuracy.
The study demonstrated a correlation between fractal dimension and postoperative survival outcomes, suggesting its prognostic value.
Fractal dimension analysis could enhance preoperative risk stratification for HCC patients, aiding in personalized treatment planning.
Interpretation:
Fractal analysis offers a promising quantitative approach to assess microvascular invasion in HCC, potentially improving clinical decision-making and patient management compared to traditional methods.
Limitations:
Retrospective design may introduce selection bias, particularly in patient recruitment.
Limited generalizability due to data being sourced from two medical centers.
Dependence on the quality of imaging and subjective tumor segmentation, which may affect the reliability of results.
Conclusion:
Fractal dimension analysis using contrast-enhanced CT is a feasible method for predicting microvascular invasion in HCC, which could aid in optimizing treatment strategies and improving patient outcomes.
