Long-Term Survival Outcomes After Liver Resection for Binodular Hepatocellular Carcinoma: A Multicenter Cohort Study

Mining Whole-liver Information with Deep Learning for Preoperatively Predicting HCC Recurrence-free Survival. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023;2023:1-4. [PMID: 38082797 DOI: 10.1109/embc40787.2023.10340426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

Hepatocellular carcinoma (HCC) is globally a leading cause of cancer death. Non-invasive pre-operative prediction of HCC recurrence-free survival (RFS) after resection is essential but remains challenging. Previous models based on medical imaging focus only on tumor area while neglecting the whole liver condition. In fact, HCC patients usually suffer from chronic liver diseases which also hamper the patient survival. This work aims to develop a novel convolutional neural network (CNN) to mine whole-liver information from contrast-enhanced computed tomography (CECT) to predict RFS after hepatic resection in HCC. Our proposed RFSNet takes liver regions from CECT as input, and outputs a risk score for each patient. Cox proportional-hazards loss was applied for model training. A total of 215 patients with primary HCC and treated with hepatic resection were included for analysis. Patients were randomly split into developing subcohort and testing subcohort by 4:1. The developing subcohort was further split into the training subcohort and validation subcohort for model training. Baseline models were built with tumor region, radiomics features and/or clinical features the same as previous tumor-based approaches. Results showed that RFSNet achieved the best performance with concordance-indinces (CIs) of 0.88 and 0.65 for the developing and testing subcohorts, respectively. Adding clinical features did not improve RFSNet. Our findings suggest that the proposed RFSNet based on whole liver is able to extract more valuable information concerning RFS prognosis compared to features from only tumor and the clinical indicators.

Surgical resection for large hepatocellular carcinoma and those beyond BCLC: systematic review with proposed management algorithm

BACKGROUND

Hepatocellular carcinoma (HCC) accounts for the sixth most common cancer and ranks third in mortality worldwide with inhomogeneity in terms of resection for advanced-stage disease.

METHODS

A systematic review of published literature using the PubMed, Medline, and Google Scholar databases from 1995 to 2020 was conducted to identify studies that reported outcomes of resection for solitary HCC > 10 cm, BCLC B/C, and multinodular HCC. Our aim was to assess overall survival for resection, identify poor prognostic factors, and to compare it to trans-arterial chemotherapy (TACE) where data was available.

RESULTS

Eighty-nine articles were included after a complete database search in the systematic review as per our predefined criteria. Analysis revealed a 5-year overall survival of 33.5% for resection of HCC > 10 cm, 41.7% for BCLC B, 23.3% for BCLC C, and 36.6% for multinodular HCC. Peri-operative mortality ranged from 0 to 6.9%. Studies comparing resection versus TACE for BCLC B/C had a survival of 40% versus 17%, respectively.

CONCLUSION

Our systematic review justifies hepatic resection wherever feasible for hepatocellular carcinomas > 10 cm, BCLC B, BCLC C, and multinodular tumors. In addition, we identified and proposed an algorithm with five poor prognostic criteria in this group of patients who may benefit from adjuvant TACE.

Prognostic factors for long-term outcome in bifocal hepatocellular carcinoma after resection

OBJECTIVES

This study aimed to evaluate whether the radiological similarity and clinicopathological factors determine the prognosis in bifocal hepatocellular carcinoma (bHCC) stratified by the Milan criteria.

METHODS

Consecutive patients with pathologically confirmed bHCC examined between January 2016 and December 2018 were retrospectively enrolled and grouped based on the Milan criteria. Two radiologists independently evaluated whether the imaging features of both tumors were consistent or not, which was defined as the radiological similarity. The clinicopathological data were also collected. The multivariable Cox regression was applied to separately identify the independent factors for recurrence-free survival (RFS) and overall survival (OS) in bHCC within and beyond the Milan criteria.

RESULTS

A total of 193 patients were evaluated and divided into the within the Milan criteria group (n = 72) and the beyond the Milan criteria group (n = 121). bHCC within the Milan criteria showed a significantly better prognosis than those beyond the criteria. In the within the Milan criteria group, HBV-DNA load  >10⁴ IU/mL, microvascular invasion (MVI), and different enhancement patterns were independently associated with poor RFS. MVI was an independent prognostic factor for poor OS. In the beyond the Milan criteria group, HBV infection, MVI, increased ratio of the larger to the smaller tumor diameter (RLSD) value, and low comprehensive similarity were associated with shorter RFS, whereas MVI and increased RLSD value were independent predictors for poor OS.

CONCLUSIONS

Our study revealed that in addition to MVI- and HBV-related factors, similarity in imaging features between lesions of bHCC is associated with the long-term prognosis.

KEY POINTS

• The prognosis of bifocal HCC patients within the Milan criteria is significantly better than those beyond the criteria. • The similarity in imaging features between lesions of bHCC was an independent prognostic factor. • The more similar the bifocal lesions are in imaging features, the better the prognosis is.

Distance Matters: Correlation of Hepatocellular Carcinoma Nodule Distance to Overall Survival

INTRODUCTION

Hepatocellular carcinoma (HCC) may occur with several simultaneous tumor foci in the liver (multifocal HCC). Molecular biology indicated that the larger the distance between two tumor nodules, the more those two nodules differed in their genetic composition. Therefore, we explored whether the overall survival (OS) of patients with HCC depends on the mutual distance of the HCC nodules.

METHODS

In a retrospective study of 92 patients, CT/MRI images and survival data of the patients were collected. Based on the CT or MRI images at the time of diagnosis, the size of each tumor, the distance between the centers (center distance), and adjacent edges (edge distance) of the tumor nodules were measured, respectively. These data, combined with the number of tumor nodules and clinical characteristics, were compared with the patient's OS data.

RESULTS

As expected, the average tumor diameter was significantly associated with patient survival in univariate Cox regression analysis (p = 0.00028, hazard ratio [HR] = 1.2). However, in multivariate analysis, the average center distance (p = 0.036, HR = 1.18) and average edge distance (p = 0.033, HR = 0.84) were also significantly associated with survival.

CONCLUSION

Thus, not only the size of multiple HCC lesions but also their distance is important for the prognosis of patients with HCC. This may be of particular interest in patients with two nodules and BCLC B and C stages for the selection of therapeutic modalities and/or procedures.

Development and validation of an individualized prediction calculator of postoperative mortality within 6 months after surgical resection for hepatocellular carcinoma: an international multicenter study

BACKGROUND

Evidence-based decision-making is critical to optimize the benefits and mitigate futility associated with surgery for patients with malignancies. Untreated hepatocellular carcinoma (HCC) has a median survival of only 6 months. The objective was to develop and validate an individualized patient-specific tool to predict preoperatively the benefit of surgery to provide a survival benefit of at least 6 months following resection.

METHODS

Using an international multicenter database, patients who underwent curative-intent liver resection for HCC from 2008 to 2017 were identified. Using random assignment, two-thirds of patients were assigned to a training cohort with the remaining one-third assigned to the validation cohort. Independent predictors of postoperative death within 6 months after surgery for HCC were identified and used to construct a nomogram model with a corresponding online calculator. The predictive accuracy of the calculator was assessed using C-index and calibration curves.

RESULTS

Independent factors associated with death within 6 months of surgery included age, Child-Pugh grading, portal hypertension, alpha-fetoprotein level, tumor rupture, tumor size, tumor number and gross vascular invasion. A nomogram that incorporated these factors demonstrated excellent calibration and good performance in both the training and validation cohorts (C-indexes: 0.802 and 0.798). The nomogram also performed better than four other commonly-used HCC staging systems (C-indexes: 0.800 vs. 0.542-0.748).

CONCLUSIONS

An easy-to-use online prediction calculator was able to identify patients at highest risk of death within 6 months of surgery for HCC. The proposed online calculator may help guide surgical decision-making to avoid futile surgery for patients with HCC.

Association of Postoperative Biomarker Response with Recurrence and Survival in Patients with Hepatocellular Carcinoma and High Alpha-Fetoprotein Expressions (>400 ng/ml)

Background

High alpha-fetoprotein (AFP) expressions (>400 ng/mL) are associated with poor oncological characteristics for hepatocellular carcinoma (HCC). However, prognosis after liver resection for high-AFP HCC is poorly studied. To investigate long-term recurrence and survival after hepatectomy for high-AFP HCC, and to identify the predictive value of postoperative incomplete biomarker response (IBR) on overall survival (OS) and recurrence-free survival (RFS).

Methods

Patients undergoing curative resection for high-AFP HCC were analyzed. According to the decline magnitude of serum AFP as measured at first follow-up (4~6 weeks after surgery), all patients were divided into the complete biomarker response (CBR) and IBR groups. Characteristics, recurrence, and survival rates were compared. Univariate and Multivariate Cox-regression analyses were performed to identify independent predictors associated with poorer OS and RFS after liver resection for high-AFP HCC.

Results

Among 549 patients, the overall and early recurrence rates in patients with IBR were significantly higher than patients with CBR (97.8%vs.56.4%, and 92.5%vs.33.3%, both P<0.001). On multivariate analysis, postoperative IBR was the strongest risk factor with the highest hazard ratio in predicting poor OS (HR 2.97; 95% CI 2.49~3.45; P<0.001) and RFS (HR 4.29; 95% CI 3.31~5.55; P<0.001).

Conclusion

Postoperative biomarker response of serum AFP can be used in predicting recurrence and survival for high-AFP HCC patients. Once postoperative IBR was identified at first follow-up, subsequent enhanced recurrence surveillance and available treatments against recurrence should actively be considered.

Treatment Options for Early-Stage Hepatocellular Carcinoma

Patients with early stage hepatocellular carcinoma have good prognosis and are treated with curative intent. Although this cohort of patients is generally defined by limited tumor burden, good liver function, and preserved functional status, there remains utility in further stratification to optimize overall survival and limit post-operative morbidity and mortality. Transplant, resection, ablation, transarterial radioembolization, and transarterial chemoembolization, either as monotherapy or in combination, may play a crucial role in treating this cohort of patients depending on a multitude of factors. In this section, we review each treatment modality and provide general guidelines for patient selection.