The ALBI grade provides objective hepatic reserve estimation across each BCLC stage of hepatocellular carcinoma

Hepatocellular Carcinoma from a Hepatologist's Perspective

Hepatocellular carcinoma (HCC), the most common type of primary liver cancer, represents a growing health challenge worldwide. The incidence of HCC is rising, which, in turn, has led to a corresponding increase in the associated number of deaths. HCC will become the third leading cause of cancer-related deaths in the United States by 2030. HCC usually develops in the setting of chronic liver disease. Individuals at increased risk of HCC are recommended to undergo surveillance with ultrasound every 6 months along with serum α-fetoprotein testing. Computed tomography (CT) and magnetic resonance imaging (MRI) are considered alternatives based on specific patient factors. Lesions suspicious for HCC are recommended to undergo a diagnostic testing, which includes contrast-enhanced multiphase CT or MRI and liver biopsy when findings are indeterminate. The Barcelona Clinic Liver Cancer prognosis and treatment strategy is the most used assessment for patients with HCC ( Fig. 2 ). Curative therapies include resection, liver transplantation, and ablation. Locoregional therapies, such as transarterial chemoembolization and radioembolization, can be used for patients with intermediate-stage HCC. For patients with advanced-stage HCC, systemic therapy is often used. This review aims to provide an overview of HCC from a hepatologist's perspective, including epidemiology, screening, surveillance, diagnosis, and management.

Albumin-Based Liver Reserve Models vs. MELD 3.0 in Prognostic Prediction for Hepatocellular Carcinoma Patients with Renal Insufficiency

The severity of liver functional reserve is an important prognostic predictor in hepatocellular carcinoma (HCC). The albumin-bilirubin (ALBI), easy (EZ)-ALBI, platelet-albumin-bilirubin (PALBI), platelet-albumin (PAL) score, and MELD 3.0 score are used to evaluate the severity of liver dysfunction. However, their prognostic role in HCC patients, specifically with renal insufficiency (RI), is unclear. We aimed to investigate the predictive accuracy of the five models in these patients. A total of 1120 newly diagnosed HCC patients with RI were enrolled. A multivariate Cox proportional analysis was used to identify independent predictors associated with survival. In the Cox model, older age, an α-fetoprotein ≥20 ng/mL, vascular invasion, a medium and high tumor burden score, poor performance status, a higher ALBI grade, an EZ-ALBI grade, a PALBI grade, a PAL grade, and MELD 3.0 score were all independently associated with decreased overall survival (all p < 0.001). Among the five liver reserve models, the ALBI grade is the best surrogate marker to represent liver functional reserve in terms of outcome prediction. The albumin-based liver reserve models (ALBI, EZ-ALBI, PALBI, and PAL) and MELD 3.0 are all feasible prognostic markers to indicate liver injury, specifically in HCC patients with RI. Among them, the ALBI grade is the most robust tool for survival prediction in these patients.

Evaluation of the Easy Albumin-Bilirubin Score as a Prognostic Tool for Mortality in Adult Trauma Patients in the Intensive Care Unit: A Retrospective Study

The easy albumin-bilirubin (EZ-ALBI) score is derived using the following equation: total bilirubin (mg/dL) - 9 × albumin (g/dL). This study aimed to determine whether the EZ-ALBI score predicted mortality risk in adult trauma patients in an intensive care unit (ICU). Data from a hospital's trauma database were retrospectively evaluated for 1083 adult trauma ICU patients (139 deaths and 944 survivors) between 1 January 2016 and 31 December 2021. Patients were classified based on the ideal EZ-ALBI cut-off of -26.5, which was determined via receiver operating characteristic curve analysis. The deceased patients' EZ-ALBI scores were higher than those of the surviving patients (-26.8 ± 6.5 vs. -30.3 ± 5.9, p = 0.001). Multivariate logistic analysis revealed that, in addition to age, the presence of end-stage renal disease, Glasgow Coma Scale scores, and injury severity scores, the EZ-ALBI score is an independent risk factor for mortality (odds ratio (OR), 1.10; 95% confidence interval (CI): 1.06-1.14; p = 0.001)). Compared with patients with EZ-ALBI scores < -26.5, those with scores ≥ -26.5 had a 2.1-fold higher adjusted mortality rate (adjusted OR, 2.14; 95% CI: 1.43-3.19, p = 0.001). In conclusion, the EZ-ALBI score is a substantial and independent predictor of mortality and can be screened to stratify mortality risk in adult trauma ICU patients.

Albumin-Bilirubin Score at Post-Hepatectomy Hepatocellular Carcinoma Recurrence: Impact on Survival and Association with Post-Hepatectomy Liver Failure

PURPOSE

Our objective was to investigate the impact of albumin-bilirubin (ALBI) score at the time of post-hepatectomy hepatocellular carcinoma (HCC) recurrence on survival after recurrence (SAR). We further explored the perioperative factors associated with the ALBI score at recurrence.

METHODS

Patients who underwent primary hepatectomy for HCC between 2007 and 2018 and developed recurrence were included in the study. Cox regression models were used to assess the association between the ALBI score at recurrence and SAR. Linear regression models were used to explore factors associated with ALBI score at recurrence.

RESULTS

Of the 233 patients analyzed, 158 developed recurrence within the Milan criteria (RWM) and 76 developed recurrence beyond the Milan criteria (RBM). Multivariable cox regression analysis demonstrated that higher ALBI scores at recurrence were associated with poorer SAR in both RWM and RBM groups (hazard ratios 4.5, 5.0; 95% confidence intervals 2.3-8.8, 2.2-11.6, respectively). In addition, multivariable linear regression analysis revealed that higher ALBI scores at hepatectomy and post-hepatectomy liver failure (PHLF) ≥ grade B were associated with higher ALBI scores at recurrence (β = 0.21, 0.11; 95% confidence intervals 0.15-0.26, 0.06-0.17, respectively).

CONCLUSIONS

The ALBI score at recurrence was a significant prognostic factor for SAR, and the ALBI scores at hepatectomy and PHLF ≥ Grade B were independently associated with the ALBI score at recurrence. Prevention of PHLF and consequent preservation of liver function at recurrence may be paramount to achieving better survival after HCC recurrence.

Assessment of the albumin-bilirubin score in breast cancer patients with liver metastasis after surgery

Objective

This study aims to investigate the potential prognostic value of albumin-bilirubin (ALBI) score in breast cancer patients with liver metastasis after surgery.

Methods

This was a retrospective study of 178 breast cancer patients with liver metastasis after surgery. ALBI score was calculated by the following formula: (log10 bilirubin × 0.66) - (albumin × 0.085). The optimal cutoff value of ALBI score was assessed by X-tile. The clinical influence of ALBI score on survival outcomes using Kaplan-Meier method, Log-rank test, Cox proportional hazards regression model. The calibration curves, decision curve analysis and time-dependent ROC curve were used to assess the predictive performance of the nomogram's models.

Results

The classifications of 178 breast cancer patients with liver metastasis after surgery were as follows: low ALBI score group (＜-3.36) vs. high ALBI score group (≥-3.36). The Cox proportional hazards regression model indicated that ALBI score was a potential predictor. Kaplan-Meier survival curve performed that the median disease free survival (p = 0.0029) and overall survival (p＜0.0001) in low ALBI score group were longer than in high ALBI score group. The ALBI-based nomograms had good predictive performance.

Conclusions

The ALBI score has high prognostic ability for survival time in breast cancer with liver metastasis after surgery. These models will be valuable in discriminating patients at high risks of liver metastasis.

Current status of preoperative risk assessment for posthepatectomy liver failure in patients with hepatocellular carcinoma

Liver resection is an effective therapeutic option for patients with hepatocellular carcinoma. However, posthepatectomy liver failure (PHLF) remains a major cause of hepatectomy-related mortality, and the accurate prediction of PHLF based on preoperative assessment of liver functional reserve is a critical issue. The definition of PHLF proposed by the International Study Group for Liver Surgery has gained acceptance as a standard grading criterion. Liver function can be estimated using a variety of parameters, including routine blood biochemical examinations, clinical scoring systems, dynamic liver function tests, liver stiffness and fibrosis markers, and imaging studies. The Child-Pugh score and model for end-stage liver disease scores are conventionally used for estimating liver decompensation, although the alternatively developed albumin-bilirubin score shows superior performance for predicting hepatic dysfunction. Indocyanine green clearance, a dynamic liver function test mostly used in Japan and other Asian countries, serves as a quantitative estimation of liver function reserve and helps determine indications for surgical procedures according to the estimated risk of PHLF. In an attempt to improve predictive accuracy, specific evaluation of liver fibrosis and portal hypertension has gained popularity, including liver stiffness measurements using ultrasonography or magnetic resonance elastography, as well as noninvasive fibrosis markers. Imaging modalities, including Tc-99m-labeled galactosyl serum albumin scintigraphy and gadolinium-enhanced magnetic resonance imaging, are used for preoperative evaluation in combination with liver volume. This review aims to provide an overview of the usefulness of current options for the preoperative assessment of liver function in predicting PHLF.

Tyrosine Kinase Inhibitors Plus Anti-PD-1 Antibodies with Hepatic Arterial Infusion Chemotherapy or Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma

Background

The combination of tyrosine kinase inhibitors (TKIs) and anti-PD-1 antibodies with hepatic arterial infusion chemotherapy (HAIC) or transarterial chemoembolization (TACE) has shown encouraging anti-tumor effects in the treatment of hepatocellular carcinoma (HCC). We explored the efficacy and safety of TKIs and anti-PD-1 antibodies combined with HAIC or TACE in HCC.

Methods

Data from 302 HCC patients receiving HAIC combined with TKIs and anti-PD-1 antibodies (HAIC-TP group) and 446 HCC patients receiving TACE combined with TKIs and anti-PD-1 antibodies (TACE-TP group) were retrospectively collected. Clinicopathological characteristics, tumor response, progression-free survival (PFS), overall survival (OS), and adverse events (AEs) were compared between two groups. Propensity score matching (PSM) analysis was performed to minimize bias.

Results

The HAIC-TP group exhibited better objective response rate (RECIST: 33.1% versus 7.8%, P < 0.001; mRECIST: 51.4% versus 17.5%, P < 0.001), longer PFS (12.4 months versus 8.2 months, P < 0.001), and longer OS (not reached versus 13.8 months, P < 0.001) than TACE-TP group. Surgery was performed after combination therapy in 34 patients of the HAIC-TP group and in 7 patients of the TACE-TP group (P < 0.001). Similar results were also observed in the PSM analysis. Multivariate analysis indicated type of treatment, alpha-fetoprotein, ALBI grade, portal vein tumor thrombus, and extrahepatic status were risk factors for poor prognosis. Nausea, vomiting, diarrhea, and abdominal pain occurred more frequently in the HAIC-TP group, whereas liver dysfunction occurred more frequently in the TACE-TP group. All AEs were acceptable and manageable as a result of treatment interruption or dose modification.

Conclusion

The combination of HAIC with TKIs and anti-PD-1 antibodies is an effective and safe therapeutic regimen over TACE-based combination therapy for patients with HCC. A prospective study with a large sample size is required to validate the efficacy and safety of the combination therapy.

Modified Albumin-Bilirubin Grade optimized for risk stratification of patients with stage II-III gastric cancer

PURPOSE

The albumin-bilirubin (ALBI) grade is calculated using albumin and bilirubin values. We determined the optimal cutoff value of the ALBI grade for predicting the postoperative prognosis of gastric cancer (GC).

METHODS

We retrospectively reviewed a multicenter database of 3571 patients who underwent gastrectomy for GC between January 2010 and December 2014. The modified ALBI (mALBI) grade was determined using cutoff values: grade 1 (mALBI ≤  - 2.70), 2 (mALBI - 2.70 to - 2.10), and 3 (mALBI >  - 2.10). We used a validation cohort to evaluate reproducibility.

RESULTS

The entire cohort (n = 956) was randomly assigned to the learning or validation cohorts (n = 478 each). The former was categorized into the following groups by the preoperative mALBI grade: grade 1 (n = 235), grade 2 (n = 162), and grade 3 (n = 81). The disease-specific survival (DSS) rates of the learning and validation cohorts were significantly shortened in association with higher mALBI grade (learning, p = 0.0068; validation, p = 0.0100). A multivariate analysis revealed that mALBI grade 3 served as an independent prognostic factor for DSS. Furthermore, mALBI grade 2 or 3 was associated with a greater risk of disease-specific death in most subgroups.

CONCLUSION

The mALBI grade accurately predicted the long-term postoperative prognosis of locally advanced GC.

Albumin-Bilirubin Grade Analyses of Atezolizumab plus Bevacizumab versus Sorafenib in Patients with Unresectable Hepatocellular Carcinoma: A Post Hoc Analysis of the Phase III IMbrave150 Study

Introduction

Atezolizumab + bevacizumab showed survival benefit in patients with unresectable hepatocellular carcinoma (HCC) versus sorafenib in the Phase III IMbrave150 study. This exploratory analysis examined the prognostic impact of a baseline albumin-bilirubin (ALBI) score.

Methods

Patients with treatment-naïve unresectable HCC, ≥1 measurable untreated lesion, and Child-Pugh class A liver function were randomized 2:1 to receive atezolizumab 1,200 mg + bevacizumab 15 mg/kg every 3 weeks or sorafenib 400 mg twice daily. Overall survival (OS) and progression-free survival (PFS) were assessed in the intention-to-treat population by ALBI/modified (m)ALBI grade. Time to deterioration (TTD; defined as time to 0.5-point increase from the baseline ALBI score over 2 visits or death) of liver function and safety were investigated.

Results

Of 501 enrolled patients, 336 were randomized to receive atezolizumab + bevacizumab (ALBI grade [G] 1: n = 191; G2: n = 144 [mALBI G2a: n = 72, G2b: n = 72]; missing ALBI grade: n = 1) and 165 to sorafenib (ALBI G1: n = 87; G2: n = 78 [mALBI G2a: n = 37; G2b: n = 41]). Median follow-up was 15.6 months. OS and PFS improved with atezolizumab + bevacizumab versus sorafenib in patients with ALBI G1 (OS HR: 0.50 [95% CI: 0.35, 0.72]; PFS HR: 0.61 [95% CI: 0.45, 0.82]). In patients with ALBI G2 or mALBI G2a or G2b, PFS was numerically longer with atezolizumab + bevacizumab versus sorafenib, but no OS benefit was seen. Median TTD in the intention-to-treat population was 10.2 months (95% CI: 8.0, 11.0) with atezolizumab + bevacizumab versus 8.6 months (95% CI: 6.2, 11.8) with sorafenib (HR: 0.82 [95% CI: 0.65, 1.03]). Safety profiles of atezolizumab and bevacizumab were consistent with previous analyses, regardless of ALBI grade.

Conclusion

ALBI grade appeared to be prognostic for outcomes with both atezolizumab + bevacizumab and sorafenib treatment in patients with HCC. Atezolizumab + bevacizumab preserved liver function for a numerically longer duration than sorafenib.

Contrast-Enhanced CT Imaging Features Combined with Clinical Factors to Predict the Efficacy and Prognosis for Transarterial Chemoembolization of Hepatocellular Carcinoma

RATIONALE AND OBJECTIVES

Accurate prediction of treatment response to transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC) is critical for precision treatment. This study aimed to develop a comprehensive model (DLRC) that incorporates contrast-enhanced computed tomography (CECT) images and clinical factors to predict the response to TACE in patients with HCC.

MATERIALS AND METHODS

A total of 399 patients with intermediate-stage HCC were included in this retrospective study. Deep learning and radiomic signatures were established based on arterial phase CECT images, Correlation analysis and the least absolute shrinkage and selection (LASSO) regression analysis were applied for features selection. The DLRC model incorporating deep learning radiomic signatures and clinical factors was developed using multivariate logistic regression. The area under the receiver operating characteristic curve (AUC), calibration curve and decision curve analysis (DCA) were used to evaluate the performance of the models. Kaplan-Meier survival curves based on the DLRC were plotted to assess overall survival in the follow-up cohort (n = 261).

RESULTS

The DLRC model was developed using 19 quantitative radiomic features, 10 deep learning features, and 3 clinical factors. The AUC of the DLRC model was 0.937 (95% confidence interval [CI], 0.912-0.962) and 0.909 (95% CI, 0.850-0.968) in the training and validation cohorts, respectively, outperforming models established with two signatures or a single signature (p < 0.05). Stratified analysis showed that the DLRC was not statistically different between subgroups (p > 0.05), and the DCA confirmed the greater net clinical benefit. In addition, multivariable cox regression revealed that DLRC model outputs were independent risk factors for the overall survival (hazard ratios: 1.20, 95% CI: 1.03-1.40; p = 0.019).

CONCLUSION

The DLRC model exhibited a remarkable accuracy in predicting response to TACE, and it can be utilized as a potent tool for precision treatment.

Deep learning prediction of post-SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE-MRI

BACKGROUND

Stereotactic body radiation therapy (SBRT) produces excellent local control for patients with hepatocellular carcinoma (HCC). However, the risk of toxicity for normal liver tissue is still a limiting factor. Normal tissue complication probability (NTCP) models have been proposed to estimate the toxicity with the assumption of uniform liver function distribution, which is not optimal. With more accurate regional liver functional imaging available for individual patient, we can improve the estimation and be more patient-specific.

PURPOSE

To develop normal tissue complication probability (NTCP) models using pre-/during-treatment (RT) dynamic Gadoxetic Acid-enhanced (DGAE) MRI for adaptation of RT in a patient-specific manner in hepatocellular cancer (HCC) patients who receive SBRT.

METHODS

24 of 146 HCC patients who received SBRT underwent DGAE MRI. Physical doses were converted into EQD2 for analysis. Voxel-by-voxel quantification of the contrast uptake rate (k1) from DGAE-MRI was used to quantify liver function. A logistic dose-response model was used to estimate the fraction of liver functional loss, and NTCP was estimated using the cumulative functional reserve model for changes in Child-Pugh (C-P) scores. Model parameters were calculated using maximum-likelihood estimations. During-RT liver functional maps were predicted from dose distributions and pre-RT k1 maps with a conditional Wasserstein generative adversarial network (cWGAN). Imaging prediction quality was assessed using root-mean-square error (RMSE) and structural similarity (SSIM) metrics. The dose-response and NTCP were fit on both original and cWGAN predicted images and compared using a Wilcoxon signed-rank test.

RESULTS

Logistic dose response models for changes in k1 yielded D50 of 35.2 (95% CI: 26.7-47.5) Gy and k of 0.62 (0.49-0.75) for the whole population. The high baseline ALBI (poor liver function) subgroup showed a significantly smaller D50 of 11.7 (CI: 9.06-15.4) Gy and larger k of 0.96 (CI: 0.74-1.22) compared to a low baseline ALBI (good liver function) subgroup of 54.8 (CI: 38.3-79.1) Gy and 0.59 (CI: 0.48-0.74), with p-values of < 0.001 and = 0.008, respectively, which indicates higher radiosensitivity for the worse baseline liver function cohort. Subset analyses were also performed for high/low baseline CP subgroups. The corresponding NTCP models showed good agreement for the fit parameters between cWGAN predicted and the ground-truth during-RT images with no statistical differences for low ALBI subgroup.

CONCLUSIONS

NTCP models which incorporate voxel-wise functional information from DGAE-MRI k1 maps were successfully developed and feasibility was demonstrated in a small patient cohort. cWGAN predicted functional maps show promise for estimating localized patient-specific response to RT and warrant further validation in a larger patient cohort.

Current Status and Future Direction of Albumin-Bilirubin in Hepatocellular Carcinoma: A Bibliometric Analysis

INTRODUCTION

Hepatocellular carcinoma (HCC) is a common malignant tumor, so we need a convenient and objective way to diagnose and treat HCC. We discuss the current situation, progress, hotspots, and existing problems of Albumin-Bilirubin (ALBI) in HCC, which can provide new ideas for the prevention, diagnosis, and treatment of HCC.

METHODS

We adopt Excel 2019 software and visual analysis tools based on Web of Science database search. This manuscript uses VOSviewer, Co-Occurrence13.3 (COOC13.3) software to conduct overall trend analysis, synonym merging, frequency of countries, journals, institutions, funds, dissimilarity matrices, co-occurrence matrices, bimodal matrices, coupling matrices, cluster analysis of topic evolution time zone graphs.

RESULTS

A total of 610 papers were included, and the number of papers output showed an overall upward trend. ALBI has been valued by the industry in HCC and plays an important role in diagnosing and treating HCC, even better than the classic Child-Pugh (C-P) grade. At the same time, hot spots in the treatment of HCC and other applications of ALBI were discovered.

CONCLUSION

ALBI score is a convenient and objective liver function evaluation index, which plays an important role in the prediction of patient survival rate and prognosis. Promoting the ALBI score in HCC can help doctors judge the patient's condition and improve the diagnosis and precise treatment effect.

Radiation dose is associated with improved local control for large, but not small, hepatocellular carcinomas

BACKGROUND

With advances in understanding liver tolerance, conformal techniques, image guidance, and motion management, dose-escalated radiotherapy has become a potential treatment for inoperable hepatocellular carcinoma (HCC). We aimed to evaluate the possible impact of biologically effective dose (BED) on local control and toxicity among patients with HCC.

METHODS AND MATERIALS

Patients treated at our institution from 2009 to 2018 were included in this retrospective analysis if they received definitive-intent radiotherapy with a nominal BED of at least 60 Gy. Patients were stratified into small and large tumors using a cutoff of 5 cm, based on our clinical practice. Toxicity was assessed using ALBI scores and rates of clinical liver function deterioration.

RESULTS

One hundred and twenty-eight patients were included, with a mean follow-up of 16 months. The majority of patients (90.5%) had a good performance status (ECOG 0-1), with Child-Pugh A (66.4%) and ALBI Grade 2 liver function at baseline (55.4%). Twenty (15.6%) patients had a local recurrence in the irradiated field during the follow-up period. Univariate and multivariate Cox proportional hazard analyses showed that only BED significantly predicted local tumor recurrence. Higher BED was associated with improved local control in tumors with equivalent diameters over 5 cm but not in smaller tumors. There was no difference in liver toxicity between the low and high-dose groups.

CONCLUSIONS

Higher radiotherapy dose is associated with improved local control in large tumors but not in tumors smaller than 5 cm in diameter. High-dose radiotherapy was not associated with increased liver toxicity.

Prognosis of Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization(MC-hccAI 001): Development and Validation of the ALFP Score

Background

Transarterial chemoembolization (TACE) is the recommended first-line treatment for intermediate-stage Hepatocellular carcinoma (HCC) patients. However, predicting the survival of HCC patients receiving TACE remains challenging.

Methods

In this retrospective study, we analyzed a total of 1805 HCC patients who received TACE. The patients were randomly divided into a training set (n = 1264) and a validation set (n = 541). We examined various prognostic factors within the training set and developed a simple ALFP (ALBI grade, AFP, and Prothrombin time) score, which was subsequently validated using the independent validation set.

Results

Our multivariate analysis revealed that baseline ALBI grade 2 or 3, AFP ≥ 100 ng/mL, and PT > 13.1 s were independent unfavorable prognostic factors for HCC patients receiving TACE (p < 0.05). Based on these findings, we constructed the ALFP score, which assigns 1 point each for ALBI grade 2 or 3, AFP ≥ 100 ng/mL, and PT > 13.1 s. The score has a range of 0 to 3, and higher scores are associated with poorer outcomes. The median overall survival (OS) varied significantly among different ALFP score groups, both in the training set and the validation set (p < 0.001). We further examined the ALFP score in subgroups based on tumor diameter and the number of intrahepatic lesions. In each subgroup, higher ALFP scores were consistently associated with lower OS (p < 0.05).

Conclusion

Our study confirms the prognostic value of the ALFP score in predicting the survival of HCC patients undergoing TACE. The score incorporates easily obtainable baseline parameters and provides a simple and practical tool for risk stratification and treatment decision-making in HCC patients.

A Novel Nomogram for Predicting the Overall Survival in Patients with Unresectable HCC after TACE plus Hepatic Arterial Infusion Chemotherapy

BACKGROUND AND AIM

Transarterial chemoembolization combined with hepatic arterial infusion chemotherapy (TACE-HAIC) has shown encouraging efficacy in the treatment of unresectable hepatocellular carcinoma (HCC). We aimed to develop a novel nomogram to predict overall survival (OS) of patients with unresectable HCC treated with TACE-HAIC.

METHODS

A total of 591 patients with unresectable HCC treated with TACE-HAIC between May 2009 and September 2020 were enrolled. These patients were randomly divided into training and validation cohorts. The independent prognostic factors were identified with Cox proportional hazards model. The model's discriminative ability and accuracy were validated using concordance index (C-index), calibration plots, the area under the time-dependent receiver operating characteristic curve (AUC) and decision curve analyses (DCAs).

RESULTS

The median OS was 15.6 months. A nomogram was established based on these factors, including tumor size, vein invasion, extrahepatic metastasis, tumor number, alpha fetoprotein (AFP), and albumin-bilirubin (ALBI), to predict OS for patients with unresectable HCC treated with TACE-HAIC. The C-index of the nomogram were 0.717 in the training cohort and 0.724 in validation cohort. The calibration plots demonstrated good agreement between the predicted outcomes and the actual observations. The AUC values were better than those of three conventional staging systems. The results of DCA indicated that the nomogram may have clinical usefulness. The patients in the low-risk group had a longer OS than those in intermediate-risk and high-risk groups (P<0.001).

CONCLUSION

A prognostic nomogram was developed and validated to assist clinicians in accurately predicting the OS of patients with unresectable HCC after TACE-HAIC.

Development and Validation of Novel Models Including Tumor Micronecrosis for Predicting the Postoperative Survival of Patients with Hepatocellular Carcinoma

Background

The heterogeneity of hepatocellular carcinoma (HCC) leads to the unsatisfying predictive performance of current staging systems. HCC patients with pathological tumor micronecrosis have an immunosuppressive microenvironment. We aimed to develop novel prognostic models by integrating micronecrosis to predict the survival of HCC patients after hepatectomy more precisely.

Methods

We enrolled 765 HCC patients receiving curative hepatic resection. They were randomly divided into a training cohort (n= 536) and a validation cohort (n = 229). We developed two prognostic models for postoperative recurrence-free survival (RFS) and overall survival (OS) based on independent factors identified through multivariate Cox regression analyses. The predictive performance was assessed using the Harrell concordance index (C-index) and the time-dependent area under the receiver operating characteristic curve, compared with six conventional staging systems.

Results

The RFS and OS nomograms were developed based on tumor micronecrosis, tumor size, albumin-bilirubin grade, tumor number and prothrombin time. The C-indexes for the RFS nomogram and OS nomogram were respectively 0.66 (95% CI, 0.62-0.69) and 0.74 (95% CI, 0.69-0.79) in the training cohort, which was significantly better than those of the six common staging systems (0.52-0.61 for RFS and 0.53-0.63 for OS). The results were further confirmed in the validation group, with the C-indexes being 0.66 and 0.77 for the RFS and OS nomograms, respectively.

Conclusion

The two nomograms could more accurately predict RFS and OS in HCC patients receiving curative hepatic resection, thereby aiding in formulating personalized postoperative follow-up plans.

Development of a risk score to predict portal vein tumor thrombosis in patients with hepatocellular carcinoma

BACKGROUND

Portal vein tumor thrombosis (PVTT) is a common complication of hepatocellular carcinoma and is one of the most negative prognostic factors. The management of patients with PVTT is challenging. The aim of the study was to develop a score predictive of tumor thrombosis.

METHODS

Data from a large cohort of 2243 hepatocellular carcinoma patients (all stages) recorded in the Progetto Epatocarcinoma Campania (January 2013-April 2021) database were analyzed. To construct the score, univariate generalized estimated equation models, the bootstrap approach for internal validation, and a regression coefficient-based scoring system were used.

RESULTS

PVTT (any location) was found in 14.4% of cases and was related to shorter survival. Males, younger patients, and symptomatic cases were more prevalent among the PVTT group. At multivariate analysis, size ≥5 cm, massive or infiltrative hepatocellular carcinoma growth, and alpha-fetoprotein ≥400 ng/mL were significantly associated with PVTT. A risk prediction score of PVTT based on eight variables was developed. Using a continuous score, the risk was associated with an odds ratio (OR) of 1.30 (1.27-1.34; P  < 0.001). Considering a dichotomous score >8 versus a score ≤8 the OR for PVTT was 11.33 (8.55-15.00; P  < 0.001).

CONCLUSION

The risk score for PVTT might be useful for clinicians to optimize hepatocellular carcinoma management by picking out patients with more aggressive cancers and higher mortality rates. Prospective validation of the score is needed before its application in daily clinical practice.

Noninvasive imaging-based machine learning algorithm to identify progressive disease in advanced hepatocellular carcinoma receiving second-line systemic therapy

The aim of this study was to predict tyrosine kinase inhibitors (TKI) plus anti-PD-1 antibodies (TKI-PD-1) efficacy as second-line treatment in advanced hepatocellular carcinoma (HCC) using radiomics analysis. From November 2018 to November 2019, a total of 55 patients were included. Radiomic features were obtained from the CT images before treatment and filtered using intraclass correlation coefficients (ICCs) and least absolute shrinkage and selection operator (LASSO) methods. Subsequently, ten prediction algorithms were developed and validated based on radiomic characteristics. The accuracy of the constructed model was measured through area under the receiver operating characteristic curve (AUC) analysis; survival analysis was performed via Kaplan-Meier and Cox regression analyses. Overall, 18 (32.7%) out of 55 patients had progressive disease. Through ICCs and LASSO, ten radiomic features were entered into the algorithm construction and validation. Ten machine learning algorithms showed different accuracies, with the support vector machine (SVM) model having the highest AUC value of 0.933 in the training cohort and 0.792 in the testing cohort. The radiomic features were associated with overall survival. In conclsion, the SVM algorithm is a useful method to predict TKI-PD-1 efficacy in patients with advanced HCC using images taken prior to treatment.

Can alternative liver function scores facilitate the establishment of an indication for radioablative therapy in patients with hepatocellular carcinoma?

BACKGROUND AND PURPOSE

ALBI and IBI are new scores to evaluate the liver function in patients with hepatocellular carcinoma (HCC). The purpose of this study was to evaluate the prognostic abilities of those scores in patients treated with interstitial brachytherapy (iBT).

MATERIALS AND METHODS

190 patients treated with iBT between 01.01.2006 and 01.01.2018 were included in this study. The clinical target dose was 15 Gy. The patients were all in Child-Pugh stadium A or B and across the Barcelona Clinic Liver Cancer (BCLC) Stages 0-C. Retrospectively ALBI and IBI were calculated pre- and post-therapeutic until 6 months after iBT. Hazards ratios were calculated, and p values corrected using the false discovery rate according to Benjamini and Hochberg.

RESULTS

The median overall survival was 23.5 months (CI 19-28.5 months), and the median progression-free survival was 7.5 months (CI 6-9 months). Elevated ALBI showed a significantly higher risk to die with a hazard ratio (HR) of 2.010 (ALBI 2 vs. 1) and 4082 (ALBI 3 vs. 1), respectively. The IBI did also show a higher risk with an HR of 1.816 (IBI 1 vs. 0) and 4608 (IBI 2 vs. 0), respectively. Even 3 months after therapy elevated ALBI and IBI showed poor overall survival. Concerning progression-free survival, ALBI and IBI could not provide any relevant additional information.

CONCLUSION

ALBI and IBI are useful tools to predict the overall survival in patients treated with iBT and might be helpful to assign the patients to the appropriate therapy.

Handheld photoacoustic imaging of indocyanine green clearance for real-time quantitative evaluation of liver reserve function

Preoperative assessment of liver function reserve (LFR) is essential for determining the extent of liver resection and predicting the prognosis of patients with liver disease. In this paper, we present a real-time, handheld photoacoustic imaging (PAI) system-based noninvasive approach for rapid LFR assessment. A linear-array ultrasound transducer was sealed in a housing filled with water; its front end was covered with a plastic wrap. This PAI system was first implemented on phantoms to confirm that the photoacoustic (PA) intensity of indocyanine green (ICG) in blood reflects the concentration of ICG in blood. In vivo studies on normal rabbits and rabbits with liver fibrosis were carried out by recording the dynamic PA signal of ICG in their jugular veins. By analyzing the PA intensity-time curve, a clear difference was identified in the pharmacokinetic behavior of ICG between the two groups. In normal rabbits, the mean ICG clearance rate obtained by PAI at 15 min after administration (PAI-R15) was below 21.6%, whereas in rabbits with liver fibrosis, PAI-R15 exceeded 62.0% because of poor liver metabolism. The effectiveness of the proposed method was further validated by the conventional ICG clearance test and pathological examination. Our findings suggest that PAI is a rapid, noninvasive, and convenient method for LFR assessment and has immense potential for assisting clinicians in diagnosing and managing patients with liver disease.

Clinical Utility of Albumin Bilirubin Grade as a Prognostic Marker in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: a Systematic Review and Meta-analysis

PURPOSE

Hepatic function is a key prognostic marker in patients with hepatocellular cancer (HCC) and central to patient selection for transarterial chemoembolization (TACE). We investigated the clinical utility of the Albumin-Bilirubin (ALBI) grade, an emerging prognostic model, in this heterogenous cohort via a meta-analysis of published studies.

METHODS

Publications including full text articles and abstracts regarding ALBI grade were sourced by two independent researchers from databases including PubMed, Embase, Medline and Cochrane Library. Studies analysing patients with HCC undergoing TACE treatment were systematically screened utilising the PRISMA tool for data extraction and synthesis, after exclusion of duplicates, irrelevant studies and overlapping cohorts. The primary outcome was overall survival (OS), as determined by ALBI grade and assessed by hazard ratio (HRs) with 95% confidence intervals (CIs), with analysis of collated data using comprehensive meta-analysis, version 3.0 software.

RESULTS

Eight studies were included, with a pooled population of 6538 patients with HCC that underwent TACE treatment. Higher pre-treatment grade was associated with poor OS, with median OS of 12.0 months (P < 0.001) in ALBI grade 3, compared to 33.5 months in ALBI grade 1 (P < 0.001). Significant heterogeneity within each ALBI grade was associated with age and tumour size (P < 0.001) in ALBI grades 1 and 2. In contrast, age and alcohol-related liver disease were significant in the ALBI grade 3 group (P < 0.001).

CONCLUSIONS

High pre-treatment ALBI grade is associated with poorer prognosis in patients with HCC undergoing TACE therapy. The ALBI grade demonstrates clinical utility for clinical prognostication and patient selection for TACE.

Local Therapies for Hepatocellular Carcinoma and Role of MRI-Guided Adaptive Radiation Therapy

Hepatocellular carcinoma (HCC) is the most common liver tumor, with a continually rising incidence. The curative treatment for HCC is surgical resection or liver transplantation; however, only a small portion of patients are eligible due to local tumor burden or underlying liver dysfunction. Most HCC patients receive nonsurgical liver-directed therapies (LDTs), including thermal ablation, transarterial chemoembolization (TACE), transarterial radioembolization (TARE), and external beam radiation therapy (EBRT). Stereotactic ablative body radiation (SABR) is a specific type of EBRT that can precisely deliver a high dose of radiation to ablate tumor cells using a small number of treatments (or fractions, typically 5 or less). With onboard MRI imaging, MRI-guided SABR can improve therapeutic dose while minimizing normal tissue exposure. In the current review, we discuss different LDTs and compare them with EBRT, specifically SABR. The emerging MRI-guided adaptive radiation therapy has been reviewed, highlighting its advantages and potential role in HCC management.

'Potentially curative therapies' for hepatocellular carcinoma: how many patients can actually be cured?

BACKGROUND

Treatment of hepatocellular carcinoma (HCC) is predicated on early diagnosis such that 'curative therapies' can be successfully applied. The term 'curative' is, however, poorly quantitated. We aimed to complement our previous work by developing a statistical model to predict cure after ablation and to use this analysis to compare the true curative potential of the various 'curative' therapies.

METHODS

We accessed data from 1571 HCC patients treated in 5 centres receiving radiofrequency (RFA) or microwave (MWA) ablation and used flexible parametric modelling to determine the curative fraction. The results of this analysis were then combined with our previous estimations to provide a simple calculator applicable to all patients undergoing potentially curative therapies.

RESULTS

The cure fraction was 18.3% rising to about 40% in patients with good liver function and very small tumours.

CONCLUSION

Cure for HCC treated with ablation occurs in the order of 20% to 30%, similar to that achievable by resection but much inferior to transplantation where the analogous figure is >70%. We provide a 'calculator' that permits clinicians to estimate the chance of cure for any individual patient, based on readily available clinical features.

Identifying optimal candidates for post-TIPS patients with HCC undergoing TACE: a multicenter observational study

OBJECTIVE

To develop a prognostic model for post-transjugular intrahepatic portosystemic shunt (TIPS) patients with hepatocellular carcinoma (HCC) beyond the Milan criteria treated by transarterial chemoembolization (TACE).

DESIGN

Between January 2013 and January 2020, 512 patients with HCC beyond the Milan criteria who underwent TACE after TIPS were retrospectively recruited from 15 tertiary centers. Patients were randomly sorted into a training set (n = 382) and a validation set (n = 130). Medical data and overall survival were assessed. A prediction model was developed using multivariate Cox regression analyses. Predictive performance and discrimination were evaluated and compared with other prognostic models.

RESULTS

Vascular invasion, log₁₀(AFP), 1/creatinine, extrahepatic spread, and log₁₀(ALT) were the most significant prognostic factors of survival. These five parameters were included in a new VACEA score. This score was able to stratify patients in the training set into four distinct risk grades whose median overall survival were 25.2, 15.1, 8.9, and 6.2 months, respectively. The 6-month, 1-year, 2-year, and 3-year AUROC values and C-index of the VACEA model were 0.819, 0.806, 0.779, 0.825, and 0.735, respectively, and higher than those of other seven currently available models in both the training and validation sets, as well as in different subgroups.

CONCLUSION

The VACEA score could stratify post-TIPS patients with HCC beyond the Milan criteria treated by TACE and help to identify candidates who benefit from this treatment.

KEY POINTS

• Vascular invasion, AFP, creatinine, extrahepatic spread, and ALT were independent significant prognostic factors of survival for HCC patients who underwent TACE after TIPS. • Our new model, named VACEA score, can accurately predict prognosis at the individual level and stratify patients into four distinct risk grades. • The VACEA model showed better prognostic discrimination and calibration than other current TACE-/TIPS-specific models Graphical abstract.

Development and validation of a new prognostic immune–inflammatory–nutritional score for predicting outcomes after curative resection for intrahepatic cholangiocarcinoma: A multicenter study

Background

Immune function, nutrition status, and inflammation influence tumor initiation and progression. This was a retrospective multicenter cohort study that investigated the prognostic value and clinical relevance of immune-, inflammatory-, and nutritional-related biomarkers to develop a novel prognostic immune–inflammatory–nutritional score (PIIN score) for patients with intrahepatic cholangiocarcinoma (ICC).

Methods

The clinical data of 571 patients (406 in the training set and 165 in the validation set) were collected from four large hepato-pancreatico-biliary centers of patients with ICC who underwent surgical resection between January 2011 and September 2017. Twelve blood biomarkers were collected to develop the PIIN score using the LASSO Cox regression model. The predictive value was further assessed using validation datasets. Afterward, nomograms combining the PIIN score and other clinicopathological parameters were developed and validated based on the calibration curve, time-dependent AUC curves, and decision curve analysis (DCA). The primary outcomes evaluated were overall survival (OS) and recurrence-free survival (RFS) from the day of primary resection of ICC.

Results

Based on the albumin–bilirubin (ALBI) grade, neutrophil- to- lymphocyte ratio (NLR), prognostic nutritional index (PNI), and systemic immune- inflammation index (SII) biomarkers, the PIIN score that classified patients into high-risk and low-risk groups could be calculated. Patients with high-risk scores had shorter OS (training set, p &lt; 0.001; validation set, p = 0.003) and RFS (training set, p &lt; 0.001; validation set, p = 0.002) than patients with low-risk scores. The high PIIN score was also associated with larger tumors (≥5 cm), lymph node metastasis (N1 stage), multiple tumors, and high tumor grade or TNM (tumor (T), nodes (N), and metastases (M)) stage. Furthermore, the high PIIN score was a significant independent prognostic factor of OS and RFS in both the training (p &lt; 0.001) and validation (p = 0.003) cohorts, respectively. A PIIN-nomogram for individualized prognostic prediction was constructed by integrating the PIIN score with the clinicopathological variables that yielded better predictive performance than the TNM stage.

Conclusion

The PIIN score, a novel immune–inflammatory–nutritional-related prognostic biomarker, predicts the prognosis in patients with resected ICC and can be a reliable tool for ICC prognosis prediction after surgery. Our study findings provide novel insights into the role of cancer-related immune disorders, inflammation, and malnutrition.

Current Status of Management of Hepatocellular Carcinoma in The Gulf Region: Challenges and Recommendations

The burden of hepatocellular carcinoma (HCC) is on the rise in the Gulf region, with most patients being diagnosed in the intermediate or advanced stages. Surgery is a treatment option for only a few, and the majority of patients receive either locoregional treatment (percutaneous ethanol injection, radiofrequency ablation, transarterial chemoembolization [TACE], radioembolization, radiotherapy, or transarterial radioembolization) or systemic therapy (for those ineligible for locoregional treatments or who do not benefit from TACE). The recent emergence of novel immunotherapies such as immune checkpoint inhibitors has begun to change the landscape of systemic HCC treatment in the Gulf. The combination of atezolizumab and bevacizumab is currently the preferred first-line therapy in patients not at risk of bleeding. Additionally, the HIMALAYA trial has demonstrated the superiority of the durvalumab plus tremelimumab combination (STRIDE regimen) therapy in efficacy and safety compared with sorafenib in patients with unresectable HCC. However, there is a lack of data on post-progression treatment after first-line therapy with either atezolizumab plus bevacizumab or durvalumab plus tremelimumab regimens, highlighting the need for better-designed studies for improved management of patients with unresectable HCC in the Gulf region.

The relationship between echocardiographic parameters and albumin bilirubin (ALBI) score in patients with isolated secundum type atrial septal defect

BACKGROUND

It has been shown that the increase in volume and pressure in the right heart chambers increases liver stiffness. The Albumin-Bilirubin (ALBI) score is a useful and easy-to-use score for objectively assessing liver function. There is no information in the literature about changes in ALBI score in patients with atrial septal defect (ASD). The aim of our study is to investigate the changes in ALBI score and its clinical impact in patients with ASD.

METHODS

Of the 206 analyzed patients, 77 were excluded. The remaining 129 patients with secundum type ASD with left to right shunt were divided into three groups; Group I (16 patients with Qp/Qs < 1.5 and defect diameter < 10 mm), Group II (52 patients with Qp/Qs > 1.5 and defect diameter 10-20 mm) and Group III (61 patients with Qp/Qs > 1.5 and defect diameter > 20 mm). The ALBI score was calculated based on serum albumin and total bilirubin levels using the following formula: ALBI = (log10 bilirubin [umol/L] * .66) + (albumin [g/L] * -.085).

RESULTS

ALBI scores as well as total bilirubin levels, transaminases, and functional-structural heart abnormalities (increase in RA and RV dimensions, sPAP, ASD size and decrease in LVEF and TAPSE) showed a significant increasing trend from Group I to Group III (p < .001 for all comparisons). The mean ALBI scores for Group I, Group II, and Group III were -3.71 ± .37, -3.51 ± .25, and -3.27 ± .34, respectively. In multivariate linear regression analysis, ASD size, sPAP, RV-RA diameter were found to be significantly associated with increased ALBI score.

CONCLUSION

The ALBI score offers a simple, evidence-based, objective, and discriminatory method of assessing liver function in patients with ASD. ASD size, sPAP, RV and RA diameters were significantly associated with ALBI score.

Comparison of Four Albumin-Based Liver Reserve Models (ALBI/EZ-ALBI/PALBI/PAL) against MELD for Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization

(1) Background: The severity of liver functional reserve plays an important role in the management of hepatocellular carcinoma (HCC). Noninvasive models such as the model for end-stage liver disease (MELD), albumin-bilirubin (ALBI) grade and easy (EZ)-ALBI grade, platelet-albumin-bilirubin (PALBI) and platelet-albumin (PAL) are used to evaluate liver dysfunction. We aimed to compare the prognostic performance of these four albumin-based models against MELD in HCC patients undergoing transarterial chemoembolization (TACE). (2) Methods: A total of 1038 treatment naïve HCC patients who received TACE as the primary treatment were enrolled. A multivariate Cox model was used to determine independent survival predictors. (3) Results: Multivariate analysis revealed that higher serum creatinine and α-fetoprotein level, vascular invasion, large tumor size, ALBI grades 2-3, EZ-ALBI grades 2-3, PALBI grades 2-3, PAL grades 2-3, but not the MELD score, were independent predictors associated with decreased survival in different Cox models. Among these models, the PALBI grade had the highest homogeneity and lowest corrected Akaike information criteria value, followed by EZ-ALBI, PAL, ALBI and, lastly, MELD. (4) Conclusions: All four albumin-based liver reserve models are better prognostic tools than MELD score in HCC patients undergoing TACE. Of these, the PALBI score is the best model to evaluate the liver reserve and should be considered a surrogate marker in these patients.

Clinical outcomes by Child-Pugh Class in patients with advanced hepatocellular carcinoma in a community oncology setting

Aim

Many pivotal trials in advanced hepatocellular carcinoma (HCC) require participants to have Child-Pugh A disease. However, many patients in real-world practice are Child-Pugh B or C. This study examined treatment patterns and clinical outcomes in patients with advanced HCC treated with first-line systemic therapy.

Materials & methods

In this retrospective study, patients with HCC treated with first-line systemic therapy (2010-2017) were identified from US Oncology Network records. Outcomes included overall survival and progression-free survival, by Child-Pugh Class and prior liver-directed therapy.

Results

Of 352 patients, 78.7% were Child-Pugh A or B, 96.6% received first-line sorafenib, and 33.8% received first-line-prior liver-directed therapy. Survival outcomes were similar for Child-Pugh A or B, and longer after first-line prior liver-directed therapy.

Conclusion

First-line systemic therapy is beneficial in patients with Child-Pugh A or B, and after first-line prior liver-directed therapy. These findings may help position systemic therapy in the community setting.

PETAL protocol: a phase Ib study of pembrolizumab after transarterial chemoembolization in hepatocellular carcinoma

Transarterial chemoembolization (TACE) is the treatment of choice for intermediate-stage hepatocellular carcinoma (HCC). Recent data suggest that TACE may boost the efficacy of anti-PD-1 immunotherapy. The authors present the trial protocol for PETAL, a phase Ib study, which will assess the safety and bioactivity of pembrolizumab, an anti-PD-1 antibody, following TACE in HCC. After a run-in phase evaluating six patients to establish preliminary safety, up to 26 additional participants will be enrolled. Pembrolizumab will be administered three-times weekly for 1 year or until progression, starting 30-45 days after TACE. The primary objective is to determine safety and the secondary objective is to preliminarily evaluate efficacy. Radiological responses will be evaluated every four cycles. Clinical Trial Registration: NCT03397654 (ClinicalTrials.gov).

Evaluation of Pretreatment Albumin-Bilirubin Grade as a Better Prognostic Factor Compared to Child-Pugh Classification in Patients with Hepatocellular Carcinoma Receiving Transarterial Chemoembolization Combined with Radiotherapy

This study assessed the use of pretreatment albumin--bilirubin (ALBI) grade as a prognostic factor in patients with hepatocellular carcinoma (HCC) receiving combined transarterial chemoembolization (TACE) and radiotherapy (RT). Patients who underwent RT following TACE between January 2011 and December 2020 were analyzed retrospectively. The survival outcomes of patients in regard to the ALBI grade and Child-Pugh (C-P) classification were evaluated. A total of 73 patients with a median follow-up of 16.3 months were included. Thirty-three (45.2%) and forty patients (54.8%) were categorized into ALBI grades 1 and 2-3, respectively, while sixty-four (87.7%) and nine (12.3%) were C-P classes A and B, respectively (p = 0.003). The median progression-free survival (PFS) and overall survival (OS) for ALBI grade 1 vs. 2-3 were 8.6 months vs. 5.0 months (p = 0.016) and 27.0 months vs. 15.9 months (p = 0.006), respectively. The median PFS and OS for C-P class A vs. B were 6.3 months vs. 6.1 months (p = 0.265) and 24.8 months vs. 19.0 months (p = 0.630), respectively. A multivariate analysis showed that ALBI grades 2-3 were significantly associated with worse PFS (p = 0.035) and OS (p = 0.021). In conclusion, the ALBI grade could be a good prognosticator in HCC patients who were treated with combined TACE-RT.

The Additive Value of Radiomics Features Extracted from Baseline MR Images to the Barcelona Clinic Liver Cancer (BCLC) Staging System in Predicting Transplant-Free Survival in Patients with Hepatocellular Carcinoma: A Single-Center Retrospective Analysis

BACKGROUND

To study the additive value of radiomics features to the BCLC staging system in clustering HCC patients.

METHODS

A total of 266 patients with HCC were included in this retrospective study. All patients had undergone baseline MR imaging, and 95 radiomics features were extracted from 3D segmentations representative of lesions on the venous phase and apparent diffusion coefficient maps. A random forest algorithm was utilized to extract the most relevant features to transplant-free survival. The selected features were used alongside BCLC staging to construct Kaplan-Meier curves.

RESULTS

Out of 95 extracted features, the three most relevant features were incorporated into random forest classifiers. The Integrated Brier score of the prediction error curve was 0.135, 0.072, and 0.048 for the BCLC, radiomics, and combined models, respectively. The mean area under the receiver operating curve (ROC curve) over time for the three models was 81.1%, 77.3%, and 56.2% for the combined radiomics and BCLC models, respectively.

CONCLUSIONS

Radiomics features outperformed the BCLC staging system in determining prognosis in HCC patients. The addition of a radiomics classifier increased the classification capability of the BCLC model. Texture analysis features could be considered as possible biomarkers in predicting transplant-free survival in HCC patients.

Surgical Outcomes for Hepatocellular Carcinoma in Patients with Child-Pugh Class B: a Retrospective Multicenter Study

BACKGROUNDS

Liver resection for hepatocellular carcinoma (HCC) in patients with Child-Pugh class (CPC) B increases the incidence of postoperative complication and in-hospital death and decreases the disease-free survival (DFS) and overall survival (OS) compared with those with CPC A. Conversely, some selected patients possibly gained benefits for liver resection.

METHODS

Clinical records of 114 patients with CPC B who underwent liver resection for HCC were retrospectively reviewed. The risk of postoperative complications (Clavien-Dindo classification grade of ≥ II), postoperative recurrence, and death was analyzed.

RESULTS

Postoperative complications occurred in 36 patients (31.6%), and 2 died within 90 days postoperatively due to the liver and respiratory failure, respectively. Multivariate analysis indicated that albumin-bilirubin (ALB) grade III and extended operation time were found as independent risk factors for postoperative complications. The DFS and OS rates at 3/5 years after liver resection were 30.8%/25.3% and 68.4%/48.9%, respectively. Multivariate analysis indicated that the extended blood loss, high α-fetoprotein (AFP) level (≥ 200 ng/mL), and Barcelona Clinic Liver Cancer stage C were found to be independent risk factors for postoperative recurrence. The high AFP level was also an independent prognostic factor for OS. Patients with high AFP levels had postoperative recurrence within 2 years and a higher number of extrahepatic recurrences than those with low AFP levels (< 200 ng/mL).

CONCLUSION

For patients with HCC with CPC B who were scheduled for liver resection, ALBI grade III and high AFP level should be considered as unfavorable outcomes after liver resection.

Risk Group Stratification for Recurrence-Free Survival and Early Tumor Recurrence after Radiofrequency Ablation for Hepatocellular Carcinoma

PURPOSE

Although the prognosis after radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC) may vary according to different risk levels, there is no standardized follow-up protocol according to each patient's risk. This study aimed to stratify patients according to their risk of recurrence-free survival (RFS) and early (≤2 years) tumor recurrence (ETR) after RFA for HCC based on predictive models and nomograms and to compare the survival times of the risk groups derived from the models.

METHODS

Patients who underwent RFA for a single HCC (≤3 cm) between January 2012 and March 2014 (n = 152) were retrospectively reviewed. Patients were classified into low-, intermediate-, and high-risk groups based on the total nomogram points for RFS and ETR, respectively, and compared for each outcome. Restricted mean survival times (RMSTs) in the three risk groups were evaluated for both RFS and ETR to quantitatively evaluate the difference in survival times.

RESULTS

Predictive models for RFS and ETR were constructed with c-indices of 0.704 and 0.730, respectively. The high- and intermediate-risk groups for RFS had an 8.5-fold and 2.9-fold higher risk of events than the low-risk group (both p < 0.001), respectively. The high- and intermediate-risk groups for ETR had a 17.7-fold and 7.0-fold higher risk than the low-risk group (both p < 0.001), respectively. The RMST in the high-risk group was significantly lower than that in the other two groups 9 months after RFA, and that in the intermediate-risk group became lower than that in the low-risk group after 21 months with RFS and 24 months with ETR.

CONCLUSION

Our predictive models were able to stratify patients into three groups according to their risk of RFS and ETR after RFA for HCC. Differences in RMSTs may be used to establish different follow-up protocols for the three risk groups.

Nomogram Based on Platelet-Albumin-Bilirubin for Predicting Tumor Recurrence After Surgery in Alpha-Fetoprotein-Negative Hepatocellular Carcinoma Patients

Purpose

In this study, we developed a nomogram based on the platelet-albumin-bilirubin (PALBI) score to predict recurrence-free survival (RFS) after curative resection in alpha-fetoprotein (AFP)-negative (≤20 ng/mL) hepatocellular carcinoma (HCC) patients.

Patients and Methods

A total of 194 pathologically confirmed AFP-negative HCC patients were retrospectively analyzed. Univariate and multivariate Cox regression analyses were performed to screen the independent risk factors associated with RFS, and a nomogram prediction model for RFS was established according to the independent risk factors. The receiver operating characteristic (ROC) curve and the C-index were used to evaluate the accuracy and the efficacy of the model prediction. The correction curve was used to assess the calibration of the prediction model, and decision curve analysis was performed to evaluate the clinical application value of the prediction model.

Results

PALBI score, MVI, and tumor size were independent risk factors for postoperative tumor recurrence (P < 0.05). A nomogram prediction model based on the independent predictive factors was developed to predict RFS, and it achieved a good C-index of 0.704 with an area under the ROC curve of 0.661 and the sensitivity was 73.2%. Patients with AFP-negative HCC could be divided into the high-risk group or the low-risk group by the risk score calculated by the nomogram, and there was a significant difference in RFS between the two groups (P < 0.05). Decision curve analysis (DCA) showed that the nomogram increased the net benefit in predicting the recurrence of AFP-negative HCC and exhibited a wider range of threshold probabilities than the independent risk factors (PALBI score, MVI, and tumor size) by risk stratification.

Conclusion

The nomogram based on the PALBI score can predict RFS after curative resection in AFP-negative HCC patients and can help clinicians to screen out high-risk patients for early intervention.

Real-world outcomes of patients with advanced intrahepatic cholangiocarcinoma treated with programmed cell death protein-1-targeted immunotherapy

OBJECTIVE

There is a lack of effective treatment to improve the prognosis of intrahepatic cholangiocarcinoma (ICC). Programmed cell death protein-1 (PD-1)-targeted immunotherapy has shown promising results in a variety of malignant tumours. However, in patients with advanced ICC, the safety and efficacy of anti-PD-1 agents remain unclear.

METHODS

Forty-two advanced ICC patients treated with anti-PD-1 agents from August 2018 to December 2020 were retrospectively analyzed. Tumour response, overall survival (OS), progression-free survival (PFS), and time to tumour progression (TTP) were evaluated. Adverse events were also recorded.

RESULTS

The median duration of follow-up was 12.1 months, and the median time of treatment was 6.7 months for all patients. The median OS, median PFS, and median TTP for the whole cohort were 19.3 months, 11.6 months, and 11.6 months, respectively. The overall response rate (ORR) and disease control rate (DCR) for the whole cohort were 23.8% and 85.7%, respectively. Of the 42 evaluable individuals, two (4.8%) had hyperprogressive disease. The most common adverse events (AEs) were pain (n = 6; 14.3%), anorexia (n = 4; 9.5%), hypertension (n = 4; 9.5%), pyrexia (n = 3; 7.1%), cough (n = 3; 7.1%), and hypothyroidism (n = 3; 7.1%). The median OS of patients with albumin-bilirubin (ALBI) grade 1 was longer than that of patients with ALBI grade 2 (19.3 months vs. 14.7 months). The median PFS did not show a significant difference between ALBI grade 1 and grade 2 patients (13.6 months vs. 6.9 months).

CONCLUSIONS

PD-1-targeted immunotherapy showed promising efficacy and safety in advanced ICC patients.Key messagesPD-1-targeted immunotherapy is a safe and effective treatment for advanced ICC patients.This study provides therapeutic strategy for advanced ICC patients.

Quantitative dual-energy computed tomography texture analysis predicts the response of primary small hepatocellular carcinoma to radiofrequency ablation

BACKGROUND

Radiofrequency ablation (RFA) is one of the effective therapeutic modalities in patients with hepatocellular carcinoma (HCC). However, there is no proper method to evaluate the HCC response to RFA. This study aimed to establish and validate a clinical prediction model based on dual-energy computed tomography (DECT) quantitative-imaging parameters, clinical variables, and CT texture parameters.

METHODS

We enrolled 63 patients with small HCC. Two to four weeks after RFA, we performed DECT scanning to obtain DECT-quantitative parameters and to record the patients' clinical baseline variables. DECT images were manually segmented, and 56 CT texture features were extracted. We used LASSO algorithm for feature selection and data dimensionality reduction; logistic regression analysis was used to build a clinical model with clinical variables and DECT-quantitative parameters; we then added texture features to build a clinical-texture model based on clinical model.

RESULTS

A total of six optimal CT texture analysis (CTTA) features were selected, which were statistically different between patients with or without tumor progression (P < 0.05). When clinical variables and DECT-quantitative parameters were included, the clinical models showed that albumin-bilirubin grade (ALBI) [odds ratio (OR) = 2.77, 95% confidence interval (CI): 1.35-6.65, P = 0.010], λ_{AP (40-100 keV)} (OR = 3.21, 95% CI: 3.16-5.65, P = 0.045) and IC_AP (OR = 1.25, 95% CI: 1.01-1.62, P = 0.028) were associated with tumor progression, while the clinical-texture models showed that ALBI (OR = 2.40, 95% CI: 1.19-5.68, P = 0.024), λ_{AP (40-100 keV)} (OR = 1.43, 95% CI: 1.10-2.07, P = 0.019), and CTTA-score (OR = 2.98, 95% CI: 1.68-6.66, P = 0.001) were independent risk factors for tumor progression. The clinical model, clinical-texture model, and CTTA-score all performed well in predicting tumor progression within 12 months after RFA (AUC = 0.917, 0.962, and 0.906, respectively), and the C-indexes of the clinical and clinical-texture models were 0.917 and 0.957, respectively.

CONCLUSIONS

DECT-quantitative parameters, CTTA, and clinical variables were helpful in predicting HCC progression after RFA. The constructed clinical prediction model can provide early warning of potential tumor progression risk for patients after RFA.

Hepatic decompensation after transarterial radioembolization: A retrospective analysis of risk factors and outcome in patients with hepatocellular carcinoma

Transarterial radioembolization (TARE) is a well-established therapy for intermediate and advanced tumor stages of hepatocellular carcinoma (HCC). Treatment-associated toxicities are rare. Previous studies have outlined that the prognosis after TARE is determined primarily by tumor stage and liver function. The subset of patients benefiting from TARE remains to be defined. Sixty-one patients with HCC treated with TARE between 2015 and 2020 were retrospectively included in the study. Hepatic decompensation was defined as an increase of bilirubin or newly developed ascites that was not explained by tumor progression within 3 months after TARE. Predictive factors of hepatic decompensation and prognostic factors were assessed. Hepatic decompensation was observed in 27.9% (n = 17) of TARE-treated patients during follow-up. Albumin-bilirubin (ALBI) score at baseline and radiation dose on nontumor liver proved to be independent risk factors for the development of hepatic decompensation in multivariable regression models (ALBI score: odds ratio [OR] 6.425 [1.735;23.797], p < 0.005; radiation dose: OR 1.072 [1.016;1.131], p < 0.011). The occurrence of hepatic decompensation markedly impaired the prognosis of the patients. Survival was significantly worsened. Hepatic decompensation has shown to be an independent negative prognostic factor for death, adjusted for Barcelona Clinic Liver Cancer stage, age and ALBI grade (hazard ratio 5.694 [2.713;11.952], p < 0.001). Conclusion: Hepatic decompensation after TARE for HCC treatment is a highly relevant complication with major effects on the prognosis of patients. Main risk factors are the pretreatment ALBI score and radiation dose. There is an urgent need to define safe cutoff values and exclusion criteria for TARE to limit complications and improve patient outcomes.

LiSNet: An artificial intelligence -based tool for liver imaging staging of hepatocellular carcinoma aggressiveness

BACKGROUND

Presurgical assessment of hepatocellular carcinoma (HCC) aggressiveness can benefit patients' treatment options and prognosis.

PURPOSE

To develop an artificial intelligence (AI) tool, namely, LiSNet, in the task of scoring and interpreting HCC aggressiveness with computed tomography (CT) imaging.

METHODS

A total of 358 patients with HCC undergoing curative liver resection were retrospectively included. Three subspecialists were recruited to pixel-wise annotate and grade tumor aggressiveness based on CT imaging. LiSNet was trained and validated in 193 and 61 patients with a deep neural network to emulate the diagnostic acumen of subspecialists for staging HCC. The test set comprised 104 independent patients. We subsequently compared LiSNet with an experience-based binary diagnosis scheme and human-AI partnership that combined binary diagnosis and LiSNet for assessing tumor aggressiveness. We also assessed the efficiency of LiSNet for predicting survival outcomes.

RESULTS

At the pixel-wise level, the agreement rate of LiSNet with subspecialists was 0.658 (95% confidence interval [CI]: 0.490-0.779), 0.595 (95% CI: 0.406-0.734), and 0.369 (95% CI: 0.134-0.566), for scoring HCC aggressiveness grades I, II, and III, respectively. Additionally, LiSNet was comparable to subspecialists for predicting histopathological microvascular invasion (area under the curve: LiSNet: 0.668 [95% CI: 0.559-0.776] versus subspecialists: 0.699 [95% CI: 0.591-0.806], p > 0.05). In a human-AI partnered diagnosis, combining LiSNet and experience-based binary diagnosis can achieve the best predictive ability for microvascular invasion (area under the curve: 0.705 [95% CI: 0.589-0.820]). Furthermore, LiSNet was able to indicate overall survival after surgery.

CONCLUSION

The designed LiSNet tool warrants evaluation as an alternative tool for radiologists to conduct automatic staging of HCC aggressiveness at the pixel-wise level with CT imaging. Its prognostic value might benefit patients' treatment options and survival prediction.

Prognostic implications of CT/MRI LI-RADS in hepatocellular carcinoma: State of the art and future directions

Hepatocellular carcinoma (HCC) is the fourth most lethal malignancy with an increasing incidence worldwide. Management of HCC has followed several clinical staging systems that rely on tumour morphologic characteristics and clinical variables. However, these algorithms are unlikely to profile the full landscape of tumour aggressiveness and allow accurate prognosis stratification. Noninvasive imaging biomarkers on computed tomography (CT) or magnetic resonance imaging (MRI) exhibit a promising prospect to refine the prognostication of HCC. The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system for standardizing the terminology, techniques, interpretation, reporting and data collection of liver imaging. At present, it has been widely accepted as an effective diagnostic system for HCC in at-risk patients. Emerging data have provided new insights into the potential of CT/MRI LI-RADS in HCC prognostication, which may help refine the prognostic paradigm of HCC that promises to direct individualized management and improve patient outcomes. Therefore, this review aims to summarize several prognostic imaging features at CT/MRI for patients with HCC; the available evidence regarding the use of LI-RDAS for evaluation of tumour biology and clinical outcomes, pitfalls of current literature, and future directions for LI-RADS in the management of HCC.

Lenvatinib plus transarterial chemoembolization with or without immune checkpoint inhibitors for unresectable hepatocellular carcinoma: A review

Lenvatinib plus transarterial chemoembolization (TACE)have become the first choice for patients with hepatocellular carcinoma (HCC) that are unsuitable for TACE. Sorafenib plus TACE therapy for patients with portal vein tumor thrombus (PVTT) achieved positive results. However, Lenvatinib plus TACE appeared to achieve a more advantageous result for these patients based on the phase 3 REFLECT trial. Both TACE and lenvatinib therapy have immune-stimulating effects, so would lenvatinib plus TACE and immune checkpoint inhibitors be an advantageous therapy for unresectable HCC (uHCC)? Thirteen articles from PubMed were explored to determine the efficacy and safety of lenvatinib plus TACE with or without PD-1 inhibitors therapy. Most of the adverse events (AEs) were manageable. Lenvatinib plus TACE therapy was superior to lenvatinib monotherapy with intermediate stage HCC especially beyond up-to-seven criterion and was superior to TACE monotherapy in patients with uHCC or sorafenib plus TACE therapy in patients with PVTT. Objective response rates (ORRs) of 53.1%–75%, median progression free survival (PFS) of 6.15–11.6 months, and median overall survival (OS) of 14.5–18.97 months were achieved in the lenvatinib plus TACE group. Levatinib plus TACE and PD-1 inhibitors achieved ORRs of 46.7% –80.6%, median PFS of 7.3–13.3 months, and median OS of 16.9–24 months. Control studies also confirmed the triple therapy was superior to lenvatinib plus TACE in patients with uHCC. Overall, the triple therapy is a promising treatment for patients with uHCC, including main PVTT and extrahepatic metastasis. Lenvatinib plus TACE therapy was also preferable for intermediate stage HCC beyond up-to-seven criterion and for patients with PVTT.

Percutaneous thermal ablation combined with transcatheter arterial chemoembolization for hepatitis C virus-related hepatocellular carcinoma: Efficacy and survival

Objective

The aim of this study was to investigate the efficacy and survival of Hepatitis C virus (HCV) -related hepatocellular carcinoma (HCC) undergoing percutaneous thermal ablation combined with transcatheter arterial chemoembolization (TACE).

Methods

A total of 83 HCV-related HCC patients who were treated with percutaneous thermal ablation combined with TACE were retrospectively analyzed. The demographic and clinical data were collected. The overall survival (OS) and recurrence free survival (RFS) rates were assessed by the Kaplan-Meier method. Univariate and multivariate Cox regression analysis was used to assess independent risk factors of OS and RFS.

Results

92.8% patients (77/83) and 96.6% (170/176) tumor lesions achieved complete response (CR) 1 month after all treatment, and 10.8% (9/83) patients had minor complications. The median OS was 60 months (95% confidence interval (CI)= 48.0-72.0), and the 1-, 2-, 3-, 5- and 10-year cumulative OS rates were 94%, 78.3%, 72.3%, 43.4% and 27.5%, respectively. The cumulative RFS rates at 1-, 2-, 3- and 5-year were 74.7%, 49.3%, 30.7% and 25.3%, respectively. Sex (HR =0.529, P=0.048), ablation result (HR=5.824, P=0.000) and Albumin-bilirubin (ALBI) score (HR=2.725, P=0.011) were independent prognostic factors for OS. Alpha-fetoprotein (AFP) (HR =2.360, P = 0.005) and tumor number(HR=2.786, P=0.000) were independent prognostic factors for RFS.

Conclusions

Percutaneous thermal ablation combined with TACE is a safe and effective treatment for HCV-related HCC. Sex, ablation result and ALBI are significant prognostic factors for OS. AFP and tumor number are significant prognostic factors for RFS.

Reproducible safety and efficacy of atezolizumab plus bevacizumab for HCC in clinical practice: Results of the AB-real study

BACKGROUND

IMbrave150 has established the superiority of atezolizumab plus bevacizumab over sorafenib in patients with unresectable hepatocellular carcinoma (HCC).

METHODS

We generated a prospectively maintained database including patients treated with atezolizumab plus bevacizumab for unresectable HCC across Europe, Asia and USA. Clinico-pathologic characteristics were assessed for their prognostic influence on overall survival (OS) and progression-free survival (PFS) in univariable and multivariate analyses. Overall response rate by RECIST v1.1 and treatment-related adverse events (TRAEs) per CTCAE v.5.0 were reported.

RESULTS

Out of 433 patients, 296 Child-Pugh A and ECOG performance status01 patients received atezolizumab plus bevacizumab in first line and were included. Patients were mostly male (82.7%), cirrhotic (75%) with history of viral hepatitis (65.9%). Overall, 68.9% had Barcelona Clinic Liver Cancer C-stage HCC with portal vein tumour thrombosis (PVTT, 35%) and extrahepatic spread (EHS, 51.7%). After a median follow-up of 10.0 months (95% confidence interval (CI): 9.4-10.4), median OS and PFS were 15.7 (95% CI: 14.5-NE) and 6.9 months (95% CI: 6.1-8.3), respectively. In the response-evaluable patients (n = 273), overall response rate was 30.8%. Overall, 221 patients (74.6%) developed TRAEs, with 70 (23.6%) reporting grade 3 or higher TRAEs; 25 (8.4%) patients had bleeding events. OS was independently associated with baseline Albumin-bilirubin (ALBI) grade and PVTT. Shorter PFS was associated with AFP≥ 400 ng/ml, worse ALBI and presence of EHS.

CONCLUSION

This global observational study confirms the reproducible safety and efficacy of atezolizumab plus bevacizumab in routine clinical practice. Within Child-Pugh-A criteria, the presence of PVTT and higher ALBI grade identify patients with poorer survival.

Summary of key guidelines for locoregional treatment of HCC in Asia, Europe, South and North America

Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide accounting for over 800,000 new cases in 2018, with the highest incidence in Asia and Africa where hepatitis B is the most common risk factor. In Europe, Japan, and the United States, hepatitis C chronic alcohol abuse and non-alcoholic fatty liver disease are more common risk factors. Five-year survival is low, less than 20% worldwide. HCC is a particularly challenging disease to treat because therapeutic options and prognosis must also consider hepatitis or cirrhosis independent of the malignancy. Locoregional therapies (LRT) including ablation, arterially directed therapy and external beam radiation are the preferred treatments for patients with good performance status, unresectable disease limited to the liver and preserved liver function. In practice, patients with portal vein tumor thrombus and limited extrahepatic disease may also be considered candidates for LRT. There are several guidelines developed by expert panels provide recommendations on treating this challenging disease including the Barcelona Clinic Liver Cancer, European Association for the Study of the Liver, European Society for Medical Oncology, American Association for the Study of the Liver Diseases, and the National Comprehensive Cancer Network. The purpose of this paper is to review the guidelines as they are applied clinically in regions with high incidence of HCC.

New concepts in the treatment of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related death and occurs mainly in the context of chronic liver disease at cirrhosis stage. The Barcelona Clinic Liver Cancer classification, first established in 1999, is the most commonly used staging system for HCC in Western countries that link tumor burden, liver function and performance status with prognosis and therapeutic management. Since the first publication of this classification, it has been implemented in several clinical guidelines and recent major therapeutic advances in the management of HCC have modified the therapeutic landscape of HCC. Accordingly, an updated version was recently published in 2022, incorporating an expert clinical decision-making component and the concept of treatment stage migration. This update also introduces the positive results of recent randomized clinical trials, and introduces atezolizumab/bevacizumab (A/B) as a first-line combination regimen for patients with advanced HCC. Finally, the complexity of the management of patients with HCC highlights the need for a multidisciplinary approach including input from hepatology, surgery, radiology, medical oncology, and radiation oncology.

Tumor burden score as a new prognostic surrogate in patients with hepatocellular carcinoma undergoing radiofrequency ablation: role of albumin-bilirubin (ALBI) grade vs easy ALBI grade

INTRODUCTION

Tumor burden score (TBS) was proposed to represent tumor burden in solid tumors, including hepatocellular carcinoma (HCC). The prognostic role of TBS in HCC patients in relation to recently introduced liver reserve markers, albumin-bilirubin (ALBI) grade, and easy (EZ)-ALBI grade, is unclear. We aimed to investigate the feasibility of TBS in HCC patients undergoing radiofrequency ablation (RFA).

RESEARCH DESIGN AND METHODS

A total of 576 treatment-naïve patients with HCC undergoing RFA were analyzed. The multivariate Cox analysis was used to identify independent predictors associated with tumor recurrence and long-term survival.

RESULTS

Patients with high TBS had increased risk of tumor recurrence and mortality compared with those with low TBS. The Cox analysis showed that serum ɑ-fetoprotein (AFP) level >20 ng/mL, medium and high TBS, ALBI grade 2 and grade 3, EZ-ALBI grade 2 and grade 3 were associated with tumor recurrence and decreased patient survival (all p <0.05). In addition, TBS can reliably stratify tumor recurrence and overall survival in different ALBI and EZ-ALBI grade groups.

CONCLUSIONS

TBS is a simple and feasible prognostic surrogate to predict tumor recurrence and survival in HCC patients undergoing RFA. Its prognostic ability remains stable in patients with variable liver functional reserve.