Abstract
Objective
To develop and externally validate a preoperative nomogram based on tumor margin irregularity and alpha-fetoprotein (AFP) positivity for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC).
Methods
This retrospective multicenter study included a training cohort of 487 patients and an external validation cohort of 256 patients with pathologically confirmed HCC after liver resection. Demographic, clinical, tumor-related, serological, and preoperative computed tomography (CT) variables were compared by MVI status. Two blinded radiologists independently assessed qualitative CT features, and interobserver agreement was evaluated using Cohen’s κ. Least Absolute Shrinkage and Selection Operator (LASSO) regression with 10-fold cross-validation was used for predictor selection, followed by multivariable logistic regression. Model performance was assessed by receiver operating characteristic (ROC) curves, area under the curve (AUC), DeLong tests, calibration, the Hosmer–Lemeshow test, and decision curve analysis (DCA). Tumor size-related sensitivity analyses were performed.
Results
MVI was present in 187 of 487 patients in the training cohort and 95 of 256 patients in the validation cohort. LASSO selected AFP positivity, irregular tumor margins, capsular interruption, and intratumoral hyperplastic vessels. Multivariable analysis identified irregular tumor margins (adjusted odds ratio [OR] = 5.275, 95% confidence interval [CI]: 3.165–8.791, p
Conclusion
The nomogram based on tumor margin irregularity and AFP positivity showed fair-to-acceptable discrimination and may support exploratory preoperative MVI risk stratification in surgically treated or resectable HCC patients with clinical characteristics similar to those in the study cohorts, pending prospective multicenter validation.