Prediction of early recurrence of hepatocellular carcinoma after resection based on Gd-EOB-DTPA enhanced magnetic resonance imaging: a preliminary study

Development and nomogram prediction of early postoperative recurrence in hepatocellular carcinoma based on preoperative CT imaging radiomic features and serum features related to microvascular infiltration

Background

Hepatocellular carcinoma (HCC) is characterized by high postoperative recurrence rates, and predicting early recurrence is crucial for improving clinical outcomes, yet remains challenging. Both preoperative computed tomography (CT) imaging radiomic features and serum biomarkers related to microvascular infiltration are important indicators of HCC prognosis. This study aimed to develop a nomogram model incorporating both preoperative CT radiomic features and serum biomarkers associated with microvascular infiltration to predict early postoperative recurrence in HCC patients.

Methods

The study included 156 HCC patients who underwent radical surgery at the Tumor Hospital Affiliated to Nantong University between January 2021 and January 2022. Preoperative CT imaging data were obtained for each patient, and radiomic features were extracted using the 3D Slicer software. Preoperative serum biomarkers related to microvascular invasion were collected, including alpha-fetoprotein (AFP), vascular endothelial growth factor A (VEGF-A), Speckled Protein 100 (SP100), and the Fibrosis-4 (FIB-4) index levels. Postoperative follow-up was conducted for 2 years, during which recurrence data were collected. The radiomics score was generated through dimensionality reduction and least absolute shrinkage and selection operator (LASSO) regression analysis. Univariate and logistic regression analyses were used to identify independent risk factors for early postoperative recurrence of HCC. The nomogram model was constructed using R language, and its predictive performance was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis curves.

Results

Among the 156 patients, 60 experienced early recurrence, while 96 did not. Feature reduction through LASSO regression identified 10 optimal features from the venous phase and 4 optimal features from the arterial phase, leading to the development of a radiomics score formula. The early recurrence group had significantly higher radiomics scores than the non-early recurrence group [-1.35 (-2.29, 1.21) vs. 0.94 (-0.40, 1.87), P<0.001]. Logistic multivariate regression analysis identified lesion number, Edmondson grade, AFP and VEGF-A levels, and radiomics score as independent risk factors for early postoperative recurrence of HCC (P<0.05). The nomogram model demonstrated high predictive performance with area under the curve (AUC) values of 0.9265 and 0.9255 in the training and internal test sets, respectively. The model demonstrated good net benefit across a threshold range of 0.01-75%, effectively identifying high-risk patients for early postoperative recurrence.

Conclusions

The nomogram model based on preoperative serum biomarkers related to microvascular infiltration and CT radiomic features demonstrated high predictive performance for early postoperative recurrence of HCC. However, further studies, including external validation, are needed to establish the model's generalizability and clinical applicability.

Imaging Prognostic Biomarkers in Hepatocellular Carcinoma: A Comprehensive Review

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide with its incidence on the rise globally. This paper provides a comprehensive review of prognostic imaging markers in HCC, emphasizing their role in risk stratification and clinical decision-making. We explore quantitative and qualitative criteria derived from imaging studies, such as computed tomography (CT) and magnetic resonance imaging (MRI), which can offer valuable insights into the biological behavior of the tumor. While many of these markers are not yet widely integrated into current clinical guidelines, they represent a promising future direction for approaching this highly heterogeneous cancer. However, standardization and validation of these markers remain important challenges. We conclude by emphasizing the importance of ongoing research to enhance clinical practices and improve outcomes for patients with HCC.

Transarterial chemoembolization combined with microwave ablation versus repeated resection for recurrent small hepatocellular carcinoma after resection: What is the better treatment?

PURPOSE

This study aimed to compare the effectiveness of transcatheter arterial chemoembolization combined with microwave ablation (TACE-MWA) versus repeated hepatic resection (RHR) in patients with recurrent small hepatocellular carcinoma (sHCC) following primary resection.

MATERIALS AND METHODS

A total of 59 patients diagnosed with recurrent sHCC (≤3 cm) and treated with either TACE-MWA or RHR were recruited from two centers between June 2015 and October 2021. Patients were matched using propensity scores at a 1:1 ratio. Disease-free survival (DFS), overall survival (OS), and complications were assessed and compared between the two treatment groups.

RESULTS

After propensity score matching, 38 patients were included, with 19 in each group. Prior to matching, the 1-, 3-, and 5-year DFS rates for the TACE-MWA group were 68.1%, 46.6%, and 23.3%, respectively, and for the RHR group, they were 84.6%, 47.3%, and 47.3%, respectively. The corresponding 1-, 3-, and 5-year OS rates for TACE-MWA were 100.0%, 83.7%, and 47.8%, while for RHR, they were 100.0%, 95.0%, and 45.2%. After matching, the 1-, 3-, and 5-year DFS rates were 78.0%, 48.3%, and 24.1% for TACE-MWA, and 77.5%, 38.7%, and 38.7% for RHR. The 1-, 3-, and 5-year OS rates for TACE-MWA were 100.0%, 88.9%, and 54.9%, and for RHR, they were 100.0%, 93.3%, and 44.4%. Statistical analysis showed no significant differences in DFS rates (P=0.834 before matching, P=0.490 after matching) or OS rates (P=0.825 before matching, P=0.625 after matching) between the two groups.

CONCLUSIONS

TACE-MWA demonstrates comparable effectiveness to RHR in managing recurrent sHCC.

Pre-operative enhanced magnetic resonance imaging combined with clinical features predict early recurrence of hepatocellular carcinoma after radical resection

BACKGROUND

Indentifying predictive factors for postoperative recurrence of hepatocellular carcinoma (HCC) has great significance for patient prognosis.

AIM

To explore the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced magnetic resonance imaging (MRI) combined with clinical features in predicting early recurrence of HCC after resection.

METHODS

A total of 161 patients with pathologically confirmed HCC were enrolled. The patients were divided into early recurrence and non-early recurrence group based on the follow-up results. The clinical, laboratory, pathological results and Gd-EOB-DTPA enhanced MRI imaging features were analyzed.

RESULTS

Of 161 patients, 73 had early recurrence and 88 were had non-early recurrence. Univariate analysis showed that patient age, gender, serum alpha-fetoprotein level, the Barcelona Clinic Liver Cancer stage, China liver cancer (CNLC) stage, microvascular invasion (MVI), pathological satellite focus, tumor size, tumor number, tumor boundary, tumor capsule, intratumoral necrosis, portal vein tumor thrombus, large vessel invasion, nonperipheral washout, peritumoral enhancement, hepatobiliary phase (HBP)/tumor signal intensity (SI)/peritumoral SI, HBP peritumoral low signal and peritumoral delay enhancement were significantly associated with early recurrence of HCC after operation. Multivariate logistic regression analysis showed that patient age, MVI, CNLC stage, tumor boundary and large vessel invasion were independent predictive factors. External data validation indicated that the area under the curve of the combined predictors was 0.861, suggesting that multivariate logistic regression was a reasonable predictive model for early recurrence of HCC.

CONCLUSION

Gd-EOB-DTPA enhanced MRI combined with clinical features would help predicting the early recurrence of HCC after operation.

Quantitative information from gadobenate dimeglumine-enhanced MRI can predict proliferative subtype of solitary hepatocellular carcinoma: a multicenter retrospective study

OBJECTIVES

To investigate the value of quantitative parameters derived from gadobenate dimeglumine-enhanced magnetic resonance imaging (MRI) for predicting molecular subtype of hepatocellular carcinoma (HCC) and overall survival.

METHODS

This multicenter retrospective study included 218 solitary HCC patients who underwent gadobenate dimeglumine-enhanced MRI. All HCC lesions were resected and pathologically confirmed. The lesion-to-liver contrast enhancement ratio (LLCER) and lesion-to-liver contrast (LLC) were measured in the hepatobiliary phase. Potential risk factors for proliferative HCC were assessed by logistic regression. The ability of LLCER and LLC to predict proliferative HCC was assessed by the receiver operating characteristic (ROC) curve. Prognostic factors were evaluated using the Cox proportional hazards regression model for survival outcomes.

RESULTS

LLCER was an independent predictor of proliferative HCC (odds ratio, 0.015; 95% confidence interval [CI], 0.008-0.022; p < 0.001). The area under the ROC curve was 0.812 (95% CI, 0.748-0.877), higher than that of LLC, alpha-fetoprotein > 100 ng/ml, satellite nodules, and rim arterial phase hyperenhancement (all p ≤ 0.001). HCC patients with LLCER < -4.59% had a significantly higher incidence of proliferative HCC than those with the LLCER ≥ -4.59%. During the follow-up period, LLCER was an independent predictor of overall survival (hazard ratio, 0.070; 95% CI, 0.015-0.324; p = 0.001) in HCC patients.

CONCLUSIONS

Gadobenate dimeglumine-enhanced quantitative parameter in the hepatobiliary phase can predict the proliferative subtype of solitary HCC with a moderately high accuracy.

CLINICAL RELEVANCE STATEMENT

Quantitative information from gadobenate dimeglumine-enhanced MRI can provide crucial information on hepatocellular carcinoma subtypes. It might be valuable to design novel therapeutic strategies, such as targeted therapies or immunotherapy.

KEY POINTS

• The lesion-to-liver contrast enhancement ratio (LLCER) is an independent predictor of proliferative hepatocellular carcinoma (HCC). • The ability of LLCER to predict proliferative HCC outperformed lesion-to-liver contrast, alpha-fetoprotein > 100 ng/ml, satellite nodules, and rim arterial phase hyperenhancement. • HCC patients with LLCER < -4.59% had a significantly higher incidence of proliferative HCC than those with the LLCER ≥ -4.59%.

Current status and prospect of treatments for recurrent hepatocellular carcinoma

Owing to its heterogeneous and highly aggressive nature, hepatocellular carcinoma (HCC) has a high recurrence rate, which is a non-negligible problem despite the increasing number of available treatment options. Recent clinical trials have attempted to reduce the recurrence and develop innovative treatment options for patients with recurrent HCC. In the event of liver remnant recurrence, the currently available treatment options include repeat hepatectomy, salvage liver transplantation, tumor ablation, transcatheter arterial chemoembolization, stereotactic body radiotherapy, systemic therapies, and combination therapy. In this review, we summarize the strategies to reduce the recurrence of high-risk tumors and aggressive therapies for recurrent HCC. Additionally, we discuss methods to prevent HCC recurrence and prognostic models constructed based on predictors of recurrence to develop an appropriate surveillance program.