Preoperative prediction of microvascular invasion in hepatocellular carcinoma ≤5 cm based on contrast-enhanced ultrasound features and LI-RADS categorization: a multicenter study - Report - MDSpire
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Preoperative prediction of microvascular invasion in hepatocellular carcinoma ≤5 cm based on contrast-enhanced ultrasound features and LI-RADS categorization: a multicenter study
Clinical Report: Preoperative Assessment of Microvascular Invasion in HCC
Overview
This study investigates the predictive value of contrast-enhanced ultrasound (CEUS) features and LI-RADS classification for microvascular invasion (MVI) in hepatocellular carcinoma (HCC) ≤5 cm.
Background
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, with high recurrence rates post-surgery. Microvascular invasion (MVI) is a significant risk factor for poor prognosis and recurrence, making its preoperative identification essential for treatment planning. Advancements in imaging techniques, particularly CEUS and LI-RADS, offer potential for noninvasive assessment of MVI.
Data Highlights
Parameter
Value
Patients Enrolled
261
MVI-positive Patients
85 (32.57%)
AUC (Derivation Cohort)
0.880 (95% CI: 0.832–0.929)
AUC (Validation Cohort)
0.832 (95% CI: 0.703–0.960)
Key Findings
85 out of 261 patients (32.57%) were found to be MVI-positive.
Significant predictors of MVI included AFP, tumor margin, enhanced homogeneity, mosaic pattern, and LI-RADS classification.
The combined predictive model achieved an AUC of 0.880 in the derivation cohort.
Calibration curves indicated agreement between predicted and observed MVI outcomes.
Decision curve analysis confirmed the model's net benefits.
Clinical Implications
Accurate preoperative evaluation of MVI may improve surgical planning.
Conclusion
The integration of CEUS features and LI-RADS classification provides a method for predicting MVI in HCC patients.
