Objective: The present study aimed to identify the risk factors for early postoperative recurrence of hepatocellular carcinoma (HCC) in patients with microvascular invasion (MVI) and develop a predictive model.
Inclusion Population and Methods: Patients who underwent surgery for HCC with pathological identification of MVI at the Cancer Hospital of the Chinese Academy of Medical Sciences from January 2014 to June 2019 were consecutively enrolled in this study. A total of 416 patients were included, divided into an early recurrence group (N = 169) and a non-early recurrence group (N = 247), taking 12 months as the cut-off point for early recurrence. Univariate and multivariate Cox analysis was adopted to screen for risk factors for recurrence, and independence of risk factors was determined by logistic regression analysis. All variables were included in the logistic regression analysis. As previous studies have shown that tumor diameter is a risk factor for recurrence, this was also included in the analyses. A predictive model for early recurrence was established and evaluated.
Results: The results indicate that MVI grouping, preoperative serum AFP, number of tumors, satellite nodules, hepatic capsule invasion, tumor diameter, and lymph node metastasis are independent risk factors for early postoperative recurrence. The above factors were adopted to develop a predictive model. The model had good discrimination and calibration in predicting early postoperative recurrence. Decision curve analysis demonstrated good clinical utility.
Conclusion: MVI grouping, preoperative serum AFP, number of tumors, satellite nodules, hepatic capsule invasion, tumor diameter, and lymph node metastasis were shown to be independent risk factors for early postoperative recurrence. The predictive model developed by applying the above risk factors had good predictive value in patients with early postoperative recurrence.
Keywords: hepatocellular carcinoma, microvascular invasion, prognosis, early recurrence, predictive model, nomogram, risk factor