Impact of Surgical Margin Width on Prognosis Following Resection of Hepatocellular Carcinoma Varies on the Basis of Preoperative Alpha-Feto Protein and Tumor Burden Score

Precision surgery for hepatocellular carcinoma

Hepatocellular carcinoma arises in the setting of cirrhosis in most cases, requiring multidisciplinary input to define resectability. In this regard, more precise surgical management considers patient factors and anatomical states, including resection margins, tumour biology, and perioperative therapy. Together with advances in surgical techniques, this integrated approach has resulted in considerable improvements in patient morbidity and oncological outcomes. Despite this, recurrence rates in hepatocellular carcinoma remain high. As the systemic treatment landscape in hepatocellular carcinoma continues to evolve and locoregional options are increasingly used, we review current and future opportunities to individualise the surgical management of patients with hepatocellular carcinoma.

Development and validation of a new prognostic tool for hepatocellular carcinoma undergoing resection: The Weighted Alpha-Fetoprotein Tumor Burden Score (WATS)

PURPOSE

This study aimed to develop and validate a novel prognostic index, the Weighted Alpha-Fetoprotein Tumor Burden Score (WATS), for predicting outcomes in hepatocellular carcinoma (HCC) patients undergoing resection.

MATERIALS AND METHODS

A total of 772 resected HCC patients were included. WATS was developed and validated using an 8:2 cohort split. The score was derived from multivariate Cox regression, resulting in the formula: WATS = 0.73 × tumor number +0.17 × tumor size +0.1 × ln AFP. The time-dependent ROC curve assessed the score's predictive ability, while restricted cubic splines evaluated the dose-response relationship between WATS and prognostic outcomes. Kaplan-Meier curves and multivariate Cox regression further validated the prognostic accuracy.

RESULTS

In the training cohort, AUCs for progression-free survival (PFS) at 1, 2, 3, 4, and 5 years were 0.683, 0.664, 0.661, 0.633, and 0.620, respectively; for overall survival (OS), they were 0.757, 0.732, 0.703, 0.672, and 0.670, respectively. In the validation cohort, AUCs for PFS were 0.711, 0.654, 0.671, 0.662, and 0.684, respectively; for OS, they were 0.724, 0.688, 0.642, 0.698, and 0.721, respectively. WATS outperformed other complex indicators and staging systems. RCS analysis showed a linear relationship between WATS and outcomes. The nomogram based on WATS demonstrated excellent discrimination, calibration, and clinical benefit.

CONCLUSION

WATS is a novel, reliable prognostic tool for HCC post-resection, offering enhanced patient stratification and risk assessment, thereby improving clinical management.

Neoadjuvant therapy with triple therapy for centrally located hepatocellular carcinoma

BACKGROUND

Centrally located hepatocellular carcinoma (HCC) is a subtype HCC with special location adjoined hepatic portals. It is difficult to be radically resected with sufficient surgical margin. We discussed whether neoadjuvant therapy could increase surgical margin and reduce recurrence.

METHODS

From January 2018 to September 2023, 106 centrally located HCC patients who underwent radical liver resection were retrospectively included. Neoadjuvant therapy included transarterial chemoembolization (TACE) with programmed death 1 (PD-1) inhibitors plus tyrosine kinase inhibitor (TKI). Surgical margin and long-term outcomes were compared between patients with and without neoadjuvant therapy.

RESULTS

40 patients underwent neoadjuvant therapy and 66 patients underwent surgery alone. In neoadjuvant therapy group, 3 (7.5 %) patients achieved progression disease, 9 (22.5 %) patients achieved stable disease, 13 (32.5 %) achieved partial response and 15 (37.5 %) achieved complete response based on the mRECIST criterion. Ultimately, 36 patients (90 %) underwent subsequent surgical resection in the neoadjuvant therapy group. The neoadjuvant therapy had the advantages of declining alpha fetoprotein level (5.9 ng/mL vs 50.1 ng/mL, P = 0.001), microvascular invasion rate (MVI) (12.5 % vs 30.3 %, P = 0.036), reducing tumor size to 5.1 ± 2.1 cm from 6.2 ± 2.2 cm (P = 0.021), and increasing more patients with surgical margin>1 cm (30.0 % vs 7.6 %, P = 0.002). The neoadjuvant therapy group reduced tumor recurrence and prolonged overall survival. Multivariate analysis found that neoadjuvant therapy was an independent protective factor for overall survival and recurrence free survival.

CONCLUSIONS

Neoadjuvant therapy showed advantage of reducing tumor burden and increasing surgical margin for centrally located HCC, resulting in longer overall survival and recurrence free survival.

Nomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection margin

PURPOSE

Narrow resection margin hepatocellular carcinoma (NRM-HCC) has a high incidence of early recurrence. Our study was designed to identify prognostic factors in patients with NRM-HCC, establish and validate a nomogram model to predict early recurrence of NRM-HCC patients.

METHODS

We retrospectively analyzed data from 2957 NRM-HCC patients who underwent radical hepatectomy at three medical centers between December 2009 and January 2015. Patients were randomly assigned to a training cohort (n = 2069) and a validation cohort (n = 888). Using univariate and multivariate COX regression to determine early relapse factors in NRM-HCC patients, and used these factors to construct a nomogram. The accuracy of the prediction was evaluated using the C-index, receiver operating characteristic (ROC) and calibration curve. Decision curve analysis (DCA) assessed the predictive value of the models. Finally, the recurrence-free survival of different risks was analyzed using Kaplan-Meier (K-M) method.

RESULTS

The nomogram of NRM model contains alpha-fetoprotein (AFP), alkaline phosphatase (ALP), tumor size, tumor number, microvascular invasion (MVI), tumor capsular, and satellite nodules. The model shows good discrimination with C-indexes of 0.71 (95% CI: 0.69-0.72) and 0.72 (95% CI: 0.70-0.75) in the train cohort and test cohort respectively. Decision curve analysis demonstrated that the model is clinically useful and the calibration of our model was favorable. Our model stratified patients into two different risk groups, which exhibited significantly different early recurrence. The web-based tools are convenient for clinical practice.

CONCLUSIONS

NRM model demonstrated favorable performance in predicting early recurrence in NRM-HCC patients. This novel model will be helpful to guide postoperative follow-up and adjuvant therapy.

Vascular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence

Liver vessel segmentation from routinely performed medical imaging is a useful tool for diagnosis, treatment planning and delivery, and prognosis evaluation for many diseases, particularly liver cancer. A precise representation of liver anatomy is crucial to define the extent of the disease and, when suitable, the consequent resective or ablative procedure, in order to guarantee a radical treatment without sacrificing an excessive volume of healthy liver. Once mainly performed manually, with notable cost in terms of time and human energies, vessel segmentation is currently realized through the application of artificial intelligence (AI), which has gained increased interest and development of the field. Many different AI-driven models adopted for this aim have been described and can be grouped into different categories: thresholding methods, edge- and region-based methods, model-based methods, and machine learning models. The latter includes neural network and deep learning models that now represent the principal algorithms exploited for vessel segmentation. The present narrative review describes how liver vessel segmentation can be realized through AI models, with a summary of model results in terms of accuracy, and an overview on the future progress of this topic.

Role of microvascular invasion in early recurrence of hepatocellular carcinoma after liver resection: A literature review

Hepatectomy is widely considered a potential treatment for hepatocellular carcinoma (HCC). Unfortunately, one-third of HCC patients have tumor recurrence within 2 years after surgery (early recurrence), accounting for more than 60% of all recurrence patients. Early recurrence is associated with a worse prognosis. Previous studies have shown that microvascular invasion (MVI) is one of the key factors for early recurrence and poor prognosis in patients with HCC after surgery. This paper reviews the latest literature and summarizes the predictors of MVI, the correlation between MVI and early recurrence, the identification of suspicious nodules or subclinical lesions, and the treatment strategies for MVI-positive HCC. The aim is to explore the management of patients with MVI-positive HCC.

Salvage Hepatectomy for Recurrent Hepatocellular Carcinoma after Radiofrequency Ablation: A Retrospective Cohort Study with Propensity Score-Matched Analysis

BACKGROUND AND OBJECTIVES

Although radiofrequency ablation (RFA) is a well-established locoregional treatment modality for hepatocellular carcinoma (HCC), the optimal strategy to handle local recurrence after ablation is still debated. This study aims to investigate the role of salvage hepatectomy (SH) as a rescue therapy for recurrent HCC after RFA.

MATERIALS AND METHODS

Between January 2004 and December 2020, 1161 patients were subject to surgical resection for HCC. Among them, 47 patients who underwent SH for local recurrence after ablation were retrospectively analyzed and compared to a propensity score-matched group of controls (n = 47) who received primary hepatectomy (PH). Short-term and long-term outcomes were analyzed between the two groups.

RESULTS

After matching, operation time, intraoperative blood loss, postoperative hospital stay, and postoperative morbidity rates showed no statistically significant difference. Tumors in the SH group were associated with poor differentiation (SH 9 (19.1%) vs. PH 1 (2.1%), p < 0.001). The 5-year disease-free survival rates (31.6% vs. 73.4%, p < 0.001) and overall survival rates (80.3% vs. 94.2%, p = 0.047) were significantly lower in the SH group. In multivariable analysis, less extensive resection compared to the initial plan (hazard ratio (HR) 4.68, p = 0.024), higher grade (HR 5.38, P < 0.001), negative but close (<0.1 cm) resection margin (HR 22.14, p = 0.007), and R1 resection (HR 3.13, p = 0.006) were significant predictors for recurrence.

CONCLUSIONS

SH for recurrent tumors after ablation showed safety and effectiveness equivalent to primary resection. As recurrent tumors show a higher grade and more aggressive behavior, more extensive resections with wide surgical margins are necessary to prevent recurrence.