Surveillance Imaging and Alpha Fetoprotein for Early Detection of Hepatocellular Carcinoma in Patients With Cirrhosis: A Meta-analysis

Role of genomics in liver transplantation for cholangiocarcinoma

PURPOSE OF REVIEW

The purpose of this review is to summarize the current knowledge of cholangiocarcinoma molecular biology and to suggest a framework for implementation of next-generation sequencing in all stages of liver transplantation. This is timely as recent guidelines recommend increased use of these technologies with promising results.

RECENT FINDINGS

The main themes covered here address germline and somatic genetic alterations recently discovered in cholangiocarcinoma, particularly those associated with prognosis and treatment responses, and nascent efforts to translate these into contemporary practice in the peri-liver transplantation period.

SUMMARY

Early efforts to translate molecular profiling to cholangiocarcinoma care demonstrate a growing number of potentially actionable alterations. Still lacking is a consensus on what biomarkers and technologies to adopt, at what scale and cost, and how to integrate them most effectively into care with the ambition of increasing the number of patients eligible for liver transplantation and improving their long-term outcomes.

Identification of serum phosphatidylinositol glycan anchor biosynthesis class U protein as diagnostic biomarker for breast cancer

BACKGROUND

Finding markers of breast cancer that are strong specificity and high. Sensitivity is important. The expression of phosphatidylinositol U（PIGU） protein is increased in a variety of tumor cells, but the role of its secreted fragment in breast cancer is lacking.

METHODS

Differential expression analysis was performed in breast cancer patients by bioinformatics method. Univariate survival analysis and ROC curve plotting were used to explore the correlation between serum PIGU and the prognosis of breast cancer patients. ELISA was used to detect serum PIGU level. Electrochemiluminescence immunoassay was used to determine serum carcinoembryonic antigen (CEA), carbohydrate antigen-153(CA153) and carbohydrate antigen-125 (CA125) levels.

RESULTS

The expression level of PIGU protein in breast cancer tumor tissues was higher than that in normal tissues, and PIGU expression level was a prognostic risk factor for breast cancer patients (HR > 1, p < 0.05) and had good predictive power (AUC = 0.8941). Compared with healthy individuals, the serum PIGU level of breast cancer patients was significantly highly expressed (p < 0.01), and the serum PIGU expression level was weakly positively correlated with CEA (r = 0.3270), but not significantly correlated with CA153 and CA125 (p > 0.05).

CONCLUSION

PIGU has the potential to be a predictive prognostic marker for breast cancer.

Long-Term Outcome of Chronic Hepatitis B-Histological Score and Viral Genotype Are Important Predictors of Hepatocellular Carcinoma

Current guidelines to prevent hepatocellular carcinoma (HCC) by chronic hepatitis B virus (HBV) infection are based on risk assessments that include age, sex, and virological and biochemical parameters. The study aim was to investigate the impact of predictive markers on long-term outcomes. The clinical outcomes of 100 patients with chronic hepatitis B were investigated 30 years after a baseline assessment that included liver biopsy. A favourable outcome-HBsAg loss or HBeAg-negative infection (ENI; previously termed 'inactive carrier')-was observed in 74% of all patients, whereas 7% developed HCC. HBsAg loss was observed in 75% of patients with genotype A, compared with 42%, 33% and 0% with genotypes D, B and C, respectively (p < 0.0001). HCC developed in 3 patients (33%) with genotype C as compared with 3 (17%), 1 (2%) and 0 patients with genotypes B, D and A, respectively (p < 0.0001). In multiple logistic regression analysis, both HBsAg loss and HCC were associated with HBV genotype and baseline HBV DNA level, and HCC also with histological score. The results suggest that genotyping and histological assessment may improve outcome prediction and help decisions about HCC screening, particularly in populations with HBV-infected individuals of mixed geographic origin.

Persisting challenges in the early detection of hepatocellular carcinoma

INTRODUCTION

Prognosis in patients with HCC is largely determined by stage at diagnosis, highlighting the importance of effective early detection strategies. HCC surveillance is associated with increased early detection and reduced HCC-related mortality and is currently recommended in patients with cirrhosis or chronic HBV infection.

AREAS COVERED

We performed a targeted literature review to identify limitations of current HCC surveillance practices and strategies for improvement.

EXPERT OPINION

Semi-annual ultrasound continues as the cornerstone modality for HCC surveillance but has limited sensitivity for detecting early-stage HCC, particularly in patients with obesity and non-viral etiologies. Although sensitivity for early-stage HCC can be improved by using ultrasound with alpha fetoprotein, this strategy misses over one-third of HCC at an early stage. Emerging imaging and biomarker-based surveillance strategies currently remain in varying stages of validation and are not yet ready for routine use in practice. The cost-effectiveness of surveillance in patients with non-cirrhotic liver disease related to hepatitis C or metabolic dysfunction-associated steatotic liver disease continues to be debated, although subgroups with advanced fibrosis may warrant surveillance. Finally, the effectiveness of surveillance is diminished by underuse in clinical practice, particularly in racial minority and low-income groups, highlighting a need for interventions to increase utilization.

Machine learning and multi-omics characterization of SLC2A1 as a prognostic factor in hepatocellular carcinoma: SLC2A1 is a prognostic factor in HCC

Hepatocellular carcinoma (HCC) is characterized by high incidence, significant mortality, and marked heterogeneity, making accurate molecular subtyping essential for effective treatment. Using multi-omics data from HCC patients, we applied diverse clustering algorithms to identify three HCC subtypes (HSs) with distinct prognostic characteristics. Among these, HS1 emerged as an immune-compromised subtype associated with the poorest prognosis. Additionally, we developed a novel, robust, and highly accurate machine learning-guided prognostic signature (MLPS) by integrating multiple machine learning algorithms and their combinations. Our study also identified SLC2A1, the core gene of MLPS, as being highly expressed during advanced stages of tumor progression. Knockdown experiments demonstrated that reducing SLC2A1 expression significantly suppressed the malignant behavior of HCC cells. Furthermore, SLC2A1 expression was linked to responsiveness to dasatinib and vincristine, suggesting potential therapeutic relevance. MLPS and SLC2A1 offer promising tools for individualized prognosis prediction and targeted therapy in HCC, providing new opportunities to improve patient outcomes.

Clinical Characteristics of Hepatitis B Virus-Associated Hepatocellular Carcinoma Patients in Southwest Nigeria

Hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC) is a major cause of morbidity and mortality in West Africa, but its presentation is poorly understood. In this study, we describe the clinical characteristics of HBV-associated HCC patients in Lagos, Nigeria. Data for all cases were collected at the emergency and gastroenterology units (2017-2019), considering chronic carriers as controls. Clinical data and routine biochemical and radiologic test results were extracted from the files. The serum biomarkers (Osteopontin, AFP-L3, DCP) were investigated. For some cases, the hepatitis B viral load was determined. The mean age of the cases (n = 92) was 41.4 years, compared to 39.9 years for the controls (n = 100). Clinically, 69.5% of cases presented with ascites, 66.3% had nodules occupying >50% of the liver, and 67.4% had moderate hepatic encephalopathy. The mean viral load and the median values of Osteopontin, AFP-L3, and DCP for the cases were significantly higher than for the controls (p < 0.001). The area under the curve, sensitivity, and specificity were significantly higher for Osteopontin, compared with DCP and AFP-L3 (p < 0.001). Most HCC patients presented at a late disease stage, when the prognosis is usually poor. Especially Osteopontin seems to have potential for early HCC detection and could possibly complement AFP and abdominal ultrasound scan for risk-group screening.

Update on the Complications and Management of Liver Cirrhosis

Liver cirrhosis represents the advanced pathological stage of chronic liver disease, characterized by the progressive destruction and regeneration of the hepatic parenchyma over years, culminating in fibrosis and disruption of the vascular architecture. As a leading global cause of morbidity and mortality, it continues to affect millions worldwide, imposing a substantial burden on healthcare systems. Alcoholic/nonalcoholic fatty liver disease and chronic viral hepatitis infection, hepatitis C (HCV) in particular, remain leading causes of cirrhosis. Despite significant advances in understanding the pathogenesis of cirrhosis, its management is still complex due to the multifaceted complications, including ascites, hepatic encephalopathy, variceal bleeding, and hepatocellular carcinoma, all of which severely compromise the patient outcomes and quality of life. This review aims at filling a critical gap by providing a comprehensive summary of the latest evidence on the complications and management of liver cirrhosis. Evidence-based therapies targeting both the etiologies and complications of cirrhosis are essential for improving outcomes. While liver transplantation is considered a definitive cure, advancements in pharmacological therapies offer promising avenues for halting and potentially reversing disease progression. This review summarizes the latest management strategies for cirrhosis and its associated complications, emphasizing the importance of early intervention and novel therapeutic options for improving outcomes and quality of life in affected individuals.

The Diagnosis and Staging of Hepatocellular Carcinoma: A Review of Current Practices

Promoting the early detection and diagnosis of hepatocellular carcinoma (HCC) is a critical strategy to improve patient outcomes as this can lead to greater access to curative treatments. This review highlights the diagnostic tests for HCC, including the use of the Liver Imaging Reporting and Data System systems and histopathology. Staging is essential for informing prognosis and guiding treatment decisions; this review also covers a widely used and well-validated staging system called the Barcelona-Clinic Liver Cancer (BCLC) algorithm. The BCLC incorporates tumor status, liver function, and patient performance to stage patients with newly diagnosed HCC.

EASL Clinical Practice Guidelines on the management of hepatocellular carcinoma

Liver cancer is the third leading cause of cancer-related deaths worldwide, with hepatocellular carcinoma (HCC) accounting for approximately 90% of primary liver cancers. Advances in diagnostic and therapeutic tools, along with improved understanding of their application, are transforming patient treatment. Integrating these innovations into clinical practice presents challenges and necessitates guidance. These clinical practice guidelines offer updated advice for managing patients with HCC and provide a comprehensive review of pertinent data. Key updates from the 2018 EASL guidelines include personalised surveillance based on individual risk assessment and the use of new tools, standardisation of liver imaging procedures and diagnostic criteria, use of minimally invasive surgery in complex cases together with updates on the integrated role of liver transplantation, transitions between surgical, locoregional, and systemic therapies, the role of radiation therapies, and the use of combination immunotherapies at various stages of disease. Above all, there is an absolute need for a multiparametric assessment of individual risks and benefits, considering the patient's perspective, by a multidisciplinary team encompassing various specialties.

Surveillance for Hepatocellular Carcinoma

This article reviews surveillance for the detection of early stage hepatocellular carcinoma, covering the rationale for surveillance, optimal selection of persons needing surveillance, methods and frequency of screening, strategies for addressing barriers to surveillance, and trends for future improvement in surveillance leading to more effective cancer control and improved patient outcomes. The importance of integrating liver cancer surveillance as a core component of national public health programs is emphasized. The impact of emerging technologies for identifying persons at risk, stratifying individual risk to improve the cost-effectiveness of surveillance programs, and improving the performance, accessibility, and convenience of surveillance are discussed.

A Phase 3 Biomarker Validation of GALAD for the Detection of Hepatocellular Carcinoma in Cirrhosis

BACKGROUND & AIMS

Better surveillance tests for hepatocellular carcinoma (HCC) are needed. The GALAD score (gender, age, α-fetoprotein [AFP] L3, AFP, and des-γ carboxyprothrombin) has been shown to have excellent sensitivity and specificity for HCC in phase 2 studies. We performed a phase 3 biomarker validation study to compare GALAD with AFP in detecting HCC.

METHODS

This is a prospective study of patients with cirrhosis enrolled at 7 centers. Surveillance for HCC was performed every 6 months at each site, and HCC diagnosis was confirmed per American Association for the Study of Liver Diseases guidelines. Blood for biomarker research was obtained at each follow-up visit and stored in a biorepository. Measurements of AFP, AFP-L3, and des-γ carboxyprothrombin) were performed in a FujiFilm laboratory by staff blinded to clinical data. The performance of GALAD in detecting HCC was retrospectively evaluated within 12 months before the clinical diagnosis. All analyses were conducted by an unblinded statistician in the Early Detection Research Network data management and coordinating center.

RESULTS

A total of 1,558 patients with cirrhosis were enrolled and followed for a median of 2.2 years. A total of 109 patients developed HCC (76 very early or early stage), with an annual incident rate of 2.4%. The areas under the curve for AFP and GALAD within 12 months before HCC were 0.66 and 0.78 (P < .001), respectively. Using a cutoff for GALAD of -1.36, the specificity was 82%, and the sensitivity at 12 months before HCC diagnosis was 62%. For comparison, performance of AFP at 82% specificity showed 41% sensitivity at 12 months before HCC diagnosis (P = .001).

CONCLUSIONS

GALAD score, compared to AFP, improves the detection of HCC within 12 months before the actual diagnosis.

The value of contrast-enhanced ultrasound fusion imaging in percutaneous liver biopsy for liver lesions invisible on conventional B-mode ultrasound

Background

Ultrasound (US) is the most commonly used imaging method for guiding percutaneous liver biopsies. For lesions that are invisible on B-mode ultrasound (BMUS), contrast-enhanced ultrasound (CEUS) improves the contrast between neoplasms and liver parenchyma, while emerging fusion imaging techniques can enhance the localization of lesions. Therefore, our study aimed to assess the value of CEUS fusion imaging in detecting and guiding percutaneous liver biopsy for lesions invisible on BMUS.

Methods

Patients with focal liver lesions (FLLs) identified on computed tomography (CT) or magnetic resonance imaging (MRI) but not visible on BMUS were retrospectively included at Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from September 2019 to December 2023. All patients underwent BMUS fusion imaging and CEUS fusion imaging. We evaluated the lesion visibility, detection rate of BMUS fusion, and CEUS fusion before liver biopsy and the rate of technical success and diagnostic success after CEUS fusion-guided biopsy.

Results

This study included 70 FLLs from 61 patients. The mean visibility score of the 70 lesions on BMUS was 1.51±0.52. BMUS fusion detected 31 (31/70, 44.3%) lesions, yielding a mean visibility score of 1.81±1.03. CEUS fusion detected 63 (63/70, 90%) lesions, and achieved a mean visibility score of 2.90±0.30, which was significantly higher than that of BMUS fusion. Subgroup analysis corroborated the superiority of CEUS fusion in detecting infiltrative lesions and lesions <2 cm. Finally, CEUS fusion-guided liver biopsy achieved a technical success rate of 98.4% and a diagnostic success rate of 82.0% (50/61).

Conclusions

Compared with conventional BMUS or BMUS fusion imaging, the combination of CEUS and fusion imaging enabled an increase in the detection rate and lesion visibility of BMUS-invisible lesions, particularly for infiltrative masses and small-sized lesions, thereby increasing operators' confidence and success rate during the percutaneous liver biopsy.

Enhancing Liver Nodule Visibility and Diagnostic Classification Using Ultrasound Local Attenuation Coefficient Slope Imaging

OBJECTIVE

B-mode ultrasound (US) presents challenges in accurately detecting and distinguishing between benign and malignant liver nodules. This study utilized quantitative US local attenuation coefficient slope (LACS) imaging to address these limitations.

MATERIALS AND METHODS

This is a prospective, cross-sectional study in adult patients with definable solid liver nodules at US conducted from March 2021 to December 2023. The composite reference standard included histopathology when available or magnetic resonance imaging. LACS images were obtained using a phantom-free method. Nodule visibility was assessed by computing the contrast-to-noise ratio (CNR). Classification accuracy for differentiating benign and malignant lesions was assessed with the area under the receiver operating characteristic curve (AUC), along with sensitivity and specificity.

RESULTS

The study enrolled 97 patients (age: 62 y ± 13 [standard deviation]), with 57.0% malignant and 43.0% benign observations (size: 26.3 ± 18.9 mm). LACS images demonstrated higher CNR (12.3 dB) compared to B-mode (p < 0.0001). The AUC for differentiating nodules and liver parenchyma was 0.85 (95% confidence interval [CI]: 0.79-0.90), with higher values for malignant (0.93, CI: 0.88-0.97) than benign nodules (0.76, CI: 0.66-0.87). A LACS threshold of 0.94 dB/cm/MHz provided a sensitivity of 0.83 (CI: 0.74-0.89) and a specificity of 0.82 (CI: 0.73-0.88). LACS mean values were higher (p < 0.0001) in malignant (1.28 ± 0.27 dB/cm/MHz) than benign nodules (0.98 ± 0.19 dB/cm/MHz).

CONCLUSION

LACS imaging improves nodule visibility and provides better differentiation between benign and malignant liver nodules, showing promise as a diagnostic tool.

Evaluation of screening program for hepatocellular carcinoma at a single center

Background

Hepatocellular carcinoma (HCC) is the seventh most common cancer in the world and is a form of liver cancer that starts in the cells of the liver. The best way to increase the chances of survival for people at high risk for HCC is to detect it early through regular monitoring. For monitoring purposes, it is recommended to conduct ultrasound exams every 4 to 6 months, sometimes in combination with alpha-fetoprotein tests.

Aim of the work

Assess the HCC surveillance and its ability to detect HCC patients early on and improve their management.

Patients and methods

The study involved 300 patients of hepatocellular carcinoma (HCC) investigated at Menoufia University’s Institute of National Liver in Egypt. Patients were evaluated using the Liver Cancer of Barcelona Clinic (BCLC) staging system. Furthermore, the patients were classified into three surveillance categories: no surveillance, routine surveillance, and sporadic surveillance.

Results

A substantial difference statistically among the groups that received and did not receive surveillance with consideration for the stage of hepatocellular carcinoma (HCC) in particular was found. Patients who were observed usually got their diagnoses earlier. Those who were not under surveillance frequently had advanced cases of hepatocellular carcinoma upon diagnosis (HCC).

Conclusion

High-risk patients were regularly investigated for having HCC is necessary for early disease detection, appropriate therapy, and improved survival. Consistent monitoring with AFP and ultrasound allows for early detection of HCC.

Cost-effectiveness of monitoring and liver cancer surveillance among patients with inactive chronic hepatitis B

Patients with chronic hepatitis B infection (CHB) have an increased risk for death from liver cirrhosis and hepatocellular carcinoma (HCC). In the United States, only an estimated 37% of adults with chronic hepatitis B diagnosis without cirrhosis receive monitoring with at least an annual alanine transaminase (ALT) and hepatitis B deoxyribonucleic acid (DNA), and an estimated 59% receive antiviral treatment when they develop active hepatitis or cirrhosis. A Markov model was used to calculate the costs, health impact and cost-effectiveness of increased monitoring of adults with HBeAg negative inactive or HBeAg positive immune tolerant CHB who have no cirrhosis or significant fibrosis and are not recommended by the current American Association for the Study of Liver Diseases (AASLD) clinical practice guidelines to receive antiviral treatment, and to assess whether the addition of HCC surveillance would be cost-effective. For every 100,000 adults with CHB who were initially not recommended for treatment, if the monitoring rate increased from the current 37% to 90% and treatment rate increased from 59% to 80%, 4,600 cases of cirrhosis, 2,450 cases of HCC and 4,700 HBV-related deaths would be averted with a gain of 45,000 QALYs and a savings of $180 million in lifetime health care costs. At a willingness to pay threshold of $100,000/QALY, the addition of HCC surveillance with the standard recommended biannual liver ultrasound and alfa fetoprotein levels is likely cost-effective if the HCC risk ≥ 0.55%/year. Regular monitoring of persons with inactive or immune tolerant CHB who are initially not recommended to receive antiviral treatment in the United States is cost-saving. The addition of HCC surveillance with biannual US and AFP would be cost-effective for individuals with HCC incidence ≥ 0.55%/year.

LI-RADS Ultrasound Surveillance Version 2024: Comparison With Version 2017 for Hepatocellular Carcinoma Detection and Risk Factors for Visualization Score C

Background: The LI-RADS Ultrasound Surveillance algorithm was updated in 2024, incorporating alpha-fetoprotein (AFP) and visualization score of VIS-C into management recommendations after nonpositive results. Objective: This study aimed to compare the diagnostic performance of LI-RADS Ultrasound Surveillance version 2017 (v2017) and version 2024 (v2024) for hepatocellular carcinoma (HCC) detection in at-risk patients and to identify predictors of VIS-C on follow-up surveillance examinations. Methods: This retrospective analysis included 407 patients (median age, 56 years; 230 male, 177 female) with cirrhosis who underwent rounds of semi-annual surveillance ultrasound as part of a prospective trial from November 2011 to December 2012. Two radiologists independently assigned ultrasound categories to round-1 examinations and visualization scores to round-1 and round-2 examinations; a third radiologist adjudicated disagreements. AFP was considered positive if elevated or increasing from pre-enrollment values, per v2024 criteria. Reference standard for HCC was positive biopsy or LR-5 observation on MRI. Diagnostic performance was compared between v2017 and v2024. Logistic regression analyses were performed to identify predictors of round-2 VIS-C, with attention to risk factors for VIS-C described in v2024. Results: HCC was diagnosed in 28 (6.9%) patients. For reader 1, v2024, compared with v2017, showed greater sensitivity for reader 1 (64.3% vs 42.9%, p=.03) and reader 2 (64.3% vs 39.3%, p=.02), and lower specificity for reader 1 (82.0% vs 92.6%, p<.001) and reader 2 (82.3% vs 92.9%, p<.001). All seven patients with HCC detected by v2024 but not v2017 using consensus assessments had an increasing AFP; two also had an elevated AFP. In 299 patients who underwent round-2 ultrasound after negative round-1 v2024 surveillance results, the only independent predictor of round-2 VIS-C was round-1 VIS-C (adjusted OR=21.0, [95% CI, 10.8-40.8], p<.001). In 88 of these patients with round-1 VIS-C, no v2024 risk factor showed significant univariable association with repeat VIS-C. Conclusion: Compared with v2017, LI-RADS Ultrasound Surveillance v2024 had higher sensitivity but lower specificity for HCC detection, related primarily to increasing, rather than elevated, AFP. The only independent predictor of VIS-C on subsequent ultrasound was initial VIS-C result. Clinical Impact: The findings support use of v2024 to improve HCC detection in at-risk patients.

Noncontrast Magnetic Resonance Imaging Vs Ultrasonography for Hepatocellular Carcinoma Surveillance: A Randomized, Single-Center Trial

BACKGROUND & AIMS

This study aimed to compare ultrasonography (US) and noncontrast magnetic resonance imaging (MRI) in the surveillance of hepatic malignancy.

METHODS

We conducted a randomized, nonblinded, single-center trial at a single center in South Korea. Eligible individuals were aged 20 to 70 years with liver cirrhosis, Child-Pugh class A, and no history of liver cancer or other recent malignancy. Participants were randomized 1:1 to receive up to 10 semiannual surveillance using US or noncontrast MRI with serum alpha-fetoprotein testing. The primary endpoints were the detection rates of Barcelona Clinic Liver Cancer (BCLC) stage 0 or A tumors, stage distribution at initial diagnosis, and false-positive referral rates.

RESULTS

From June 2015 to November 2017, 416 patients were screened, and 414 were enrolled and assigned to the US (n = 207) or MRI (n = 207) group. In total, 23 participants in the US group and 25 in the MRI group were diagnosed with liver cancer by November 2022. The detection rates of BCLC stage 0 or A tumors were not different between the US and MRI groups (8%; [95% confidence interval (CI), 5%-13%] vs 12% [8%-17%]). BCLC stage 0 tumors were more prevalent in the MRI group than in the US group (8% vs 3%). The MRI group had earlier BCLC stage (P = .014) and lower false-positive referral rate (0.7% [95% CI, 0.4%-1.2%] vs 3.1% [2.3%-4.1%], P < .001) compared with the US group.

CONCLUSIONS

Noncontrast MRI is a better alternative to US for the surveillance of cirrhotic patients offering earlier stage at initial diagnosis and lower false-positive referral rate. (ClincalTrials.gov, Number: NCT02514434.).

Prevention of liver cancer in the era of next-generation antivirals and obesity epidemic

Preventive interventions are expected to substantially improve the prognosis of patients with primary liver cancer, predominantly HCC and cholangiocarcinoma. HCC prevention is challenging in the face of the evolving etiological landscape, particularly the sharp increase in obesity-associated metabolic disorders, including metabolic dysfunction-associated steatotic liver disease. Next-generation anti-HCV and HBV drugs have substantially reduced, but not eliminated, the risk of HCC and have given way to new challenges in identifying at-risk patients. The recent development of new therapeutic agents and modalities has opened unprecedented opportunities to refine primary, secondary, and tertiary HCC prevention strategies. For primary prevention (before exposure to risk factors), public health policies, such as universal HBV vaccination, have had a substantial prognostic impact. Secondary prevention (after or during active exposure to risk factors) includes regular HCC screening and chemoprevention. Emerging biomarkers and imaging modalities for HCC risk stratification and detection may enable individual risk-based personalized and cost-effective HCC screening. Clinical studies have suggested the potential utility of lipid-lowering, antidiabetic/obesity, and anti-inflammatory agents for secondary prevention, and some of them are being evaluated in prospective clinical trials. Computational and experimental studies have identified potential chemopreventive strategies directed at diverse molecular, cellular, and systemic targets for etiology-specific and/or agnostic interventions. Tertiary prevention (in conjunction with curative-intent therapies for HCC) is an area of active research with the development of new immune-based neoadjuvant/adjuvant therapies. Cholangiocarcinoma prevention may advance with recent efforts to elucidate risk factors. These advances will collectively lead to substantial improvements in liver cancer mortality rates.

Hepatocellular Carcinoma: Imaging Advances in 2024 with a Focus on Magnetic Resonance Imaging

The EASL diagnostic algorithm for hepatocellular carcinoma, currently in use, dates back to 2018. While awaiting its update, numerous advancements have emerged in the field of hepatocellular carcinoma imaging. These innovations impact every step of the diagnostic algorithm, from surveillance protocols to diagnostic processes, encompassing aspects preceding a patient's inclusion in surveillance programs as well as the potential applications of imaging after the hepatocellular carcinoma diagnosis. Notably, these diagnostic advancements are particularly evident in the domain of magnetic resonance imaging. For example, the sensitivity of ultrasound in diagnosing very early-stage and early-stage hepatocellular carcinoma during the surveillance phase is very low (less than 50%) and a potential improvement in this sensitivity value could be achieved by using abbreviated protocols in magnetic resonance imaging. The aim of this review is to explore the 2024 updates in magnetic resonance imaging for hepatocellular carcinoma, with a focus on its role in surveillance, nodular size assessment, post-diagnosis imaging applications, and its potential role before the initiation of surveillance.

Point-of-Care Ultrasound in Gastroenterology and Hepatology

Point-of-care ultrasound (POCUS) is changing the practice of nearly all specialties and is increasingly being incorporated as a bedside tool by more gastroenterologists and hepatologists. POCUS is most often used to answer focused diagnostic questions, supplement the traditional physical examination, and guide performance of invasive bedside procedures. This review describes several common POCUS applications used in gastroenterology and hepatology, as well as some novel applications that warrant further investigation.

Diagnosis and treatment of hepatocellular carcinoma with pelvic metastasis expressing AFP: a case report

This report presents the case of a 68-year-old female patient with hepatocellular carcinoma (HCC) who experienced persistently elevated alpha-fetoprotein (AFP) levels following resection of the primary liver tumor. The patient had previously undergone transcatheter arterial chemoembolization (TACE) and liver tumor resection, but postoperative AFP levels continued to rise, suggesting the possibility of extrahepatic metastasis. PET-CT scans revealed an irregular soft tissue mass in the recto-uterine pouch, which was later confirmed as a HCC metastasis through needle biopsy. The patient subsequently received radioactive seed implantation therapy, leading to a significant decrease in AFP levels. This case highlights the rarity of isolated pelvic metastasis in HCC patients and underscores the importance of AFP in postoperative monitoring. The combination of PET-CT imaging and pathological biopsy is instrumental in improving the detection rate of HCC metastases, enabling more accurate treatment planning for patients.

Value of Abbreviated Magnetic Resonance Sequence in Hepatocellular Carcinoma Screening: A Systematic Review and Meta-analysis

RATIONALE AND OBJECTIVES

To systematically review the diagnostic efficacy of abbreviated magnetic resonance imaging sequence (AMRI) screening for hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

Medline (via PubMed), EMbase, The Cochrane Library, Web of Science, CNKI, WanFang Data, and VIP databases were electronically searched to collect studies on the diagnostic efficacy of AMRI screening for HCC from inception to August 10th, 2024. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies using the Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS-2), then, the meta-analysis with a bivariate mixed-effects regression model was performed by using Stata 14.0 software.

RESULTS

A total of 19 studies involving 3914 participants were included which published from 2013 to 2024. The results of meta-analysis showed that pooled sensitivity and specificity of AMRI for HCC were 0.85 (95% confidence interval (CI) 0.83 to 0.87) and 0.93 (95%CI 0.91 to 0.94). Subgroup analysis showed that the pooled sensitivity and specificity of NC (Non-Contrast) AMRI and HBP (Hepatobiliary Phase Images) AMRI were 0.84 (95%CI 0.80 to 0.87), 0.92 (95%CI 0.89 to 0.94) and 0.88 (95%CI 0.84 to 0.91), 0.93 (95%CI 0.91 to 0.95), respectively. And the T2 (T2 Weighted Imaging)+DWI (Diffusion Weighted Imaging)+HBP protocol in HBP AMRI had the highest diagnostic efficacy, its pooled sensitivity, specificity and the area under the summary receiver operating characteristic (SROC) curve (AUC) were 0.88 (95%CI 0.83 to 0.92), 0.93 (95%CI 0.91 to 0.95), and 0.96 (95%CI 0.94 to 0.98), respectively.

CONCLUSION

Current evidence suggests that the AMRI protocols demonstrated potential for HCC detection, which employing a limited number of sequences with the aim of achieving a diagnostic performance comparable to conventional complete contrast-enhanced MRI (CE-MRI). Among them, T2+DWI+HBP protocol shows the relatively highest diagnostic efficiency, which is perhaps the most promising application in clinical practice. Nevertheless, the results still should be carefully interpreted in the relevant context of medical history, physical examination, and biochemical indicators.

HBV-Induced Carcinogenesis: Mechanisms, Correlation With Viral Suppression, and Implications for Treatment

BACKGROUND

Chronic hepatitis B virus (HBV) infection is a common but underdiagnosed and undertreated health condition and is the leading cause of hepatocellular carcinoma (HCC) worldwide. HBV (rated a Grade 1 carcinogen by the International Agency for Research on Cancer) drives the transformation of hepatocytes in multiple ways by inducing viral DNA integrations, genetic dysregulation, chromosomal translocations, chronic inflammation, and oncogenic pathways facilitated by some HBV proteins. Importantly, these mechanisms are active throughout all phases of HBV infection. Nevertheless, most clinical guidelines for antiviral therapy recommend treatment based on a complex combination of HBV DNA levels, transaminasemia, liver histology, and demographic factors, rather than prompt treatment for all people with infection.

AIMS

To determine if current frameworks for antiviral treatment address the impacts of chronic HBV infection particularly preventing cancer development.

MATERIALS AND METHODS

We reviewed the recent data demonstrating pro-oncogenic factors acting throughout a chronic HBV infection can be inhibited by antiviral therapy.

RESULTS

We extensively reviewed Hepatitis B virology data and correlating clinical outcome data. From thi, we suggest that new findings support simplifying and expanding treatment initiation to reduce the incidence ofnew infections, progressive liver disease, and risk of hepatocellular carcinoma. We also consider lessons learned from other blood-borne pathogens, including the benefits of antiviral treatment in preventing transmission, reducing stigma, and reframing treatment as cancer prevention.

CONCLUSION

Incorporating these practice changes into treatment is likely to reduce the overall burden of chronic HBV infections and HCC. Through this, we may better achieve the World Health Organization's goal of eliminating viral hepatitis as a public health threat and minimise its impact on people's lives.

Assessing the Predictive Accuracy of the aMAP Risk Score for Hepatocellular Carcinoma (HCC): Diagnostic Test Accuracy and Meta-analysis

Purpose

We aimed to perform a meta-analysis with the intention of evaluating the reliability and test accuracy of the aMAP risk score in the identification of HCC.

Methods

A systematic search was performed in PubMed, Scopus, Cochrane, Embase, and Web of Science databases from inception to September 2023, to identify studies measuring the aMAP score in patients for the purpose of predicting the occurrence or recurrence of HCC. The meta-analysis was performed using the meta package in R version 4.1.0. The diagnostic accuracy meta-analysis was conducted using Meta-DiSc software.

Results

Thirty-five studies 102,959 participants were included in the review. The aMAP score was significantly higher in the HCC group than in the non-HCC group, with a mean difference of 6.15. When the aMAP score is at 50, the pooled sensitivity, specificity, negative likelihood ratio, and positive likelihood ratio with 95% CI was 0.961 (95% CI 0.936, 0.976), 0.344 (95% CI 0.227, 0.483), 0.114 (95% CI 0.087, 0.15), and 1.464 (95% CI 1.22, 1.756), respectively. At a cutoff value of 60, the pooled sensitivity, specificity, negative likelihood ratio, and positive likelihood ratio with 95% CI was 0.594 (95% CI 0.492, 0.689), 0.816 (95% CI 0.714, 0.888), 0.497 (95% CI 0.418, 0.591), and 3.235 (95% CI 2.284, 4.582), respectively.

Conclusion

The aMAP score is a reliable, accurate, and easy-to-use tool for predicting HCC patients of all stages, including early-stage HCC. Therefore, the aMAP score can be a valuable tool for surveillance of HCC patients and can help to improve early detection and reduce mortality.

Multisociety consensus recommendations on hepatitis delta virus infection

ABSTRACT

Hepatitis D virus (HDV) prevalence data and country-specific HDV guidelines are not widely available in the Gulf Cooperation Council (GCC) states. We developed consensus recommendations to guide healthcare professionals, policymakers, and researchers in improving HDV management and patient health outcomes in three GCC states: Kuwait, Saudi Arabia, and the United Arab Emirates. A consensus panel comprising hepatology experts (n = 6) from the three GCC societies was formed. The panel identified two broader areas related to clinical practice (screening and diagnosis, and treatment and management), addressed critical questions, and developed draft recommendations in February 2024. The strength of the final set of recommendations was subjected to consensus voting in March 2024. A majority was defined apriori with a two-thirds vote (67%). The paper outlines those recommendations alongside showcasing the current epidemiology of HDV in the GCC states, emphasizing the variability in prevalence, demographic patterns, and region-specific risk factors. It also highlights the current state of screening and diagnosis practices, identifying key obstacles, such as access to advanced screening protocols and diagnostic tools. Furthermore, HDV treatment landscape and preventative strategies are outlined, focusing on vaccination, public health initiatives, and the crucial role of public awareness and education. Ethical and sociocultural considerations are discussed, underscoring the importance of culturally sensitive healthcare practices. These recommendations present a comprehensive overview of the challenges and strategies for managing HDV in these states. Policy recommendations are provided to support HDV management, including standardizing care protocols and promoting public health measures.

Ultrasensitive lab-on-paper electrochemical device via heterostructure copper/cuprous sulfide@N-doped C@Au hollow nanoboxes as signal amplifier for alpha-fetoprotein detection

Rapid and accurate detection of tumor markers at extremely low levels is crucial for the early diagnosis of cancers. In this work, we developed a portable label-free sliding electrochemical paper-based analytical device (ePAD) using copper/cuprous sulfide@N-doped C@Au nanoparticles (Cu/Cu2S@NC@Au) hollow nanoboxes as the signal amplifier for the ultrasensitive detection of alpha-fetoprotein (AFP). Cu/Cu2S@NC nanoboxes were synthesized by sacrificial template and interface reaction methods, on which Au nanoparticles were electrodeposited to construct unique heterostructure for effectively capturing anti-AFP and serving as signal amplifier. The designed ePAD incorporates sliding microfluidic paper chips to form a flexible three-electrode system, enabling highly sensitive detection of AFP with a wide linear range of 0.005-50 ng mL-1 and a low detection limit of 0.62 pg mL-1. The practicality of the prepared ePAD was validated through AFP detection in clinical human serum, which was consistent with chemiluminescence immunoassay. In addition, the developed immunosensor demonstrates excellent specificity, repeatability and stability. This novel platform exhibits significant potential for rapid on-site analysis and point-of-care diagnosis.

Quality of care in hepatocellular carcinoma-A critical review

There is significant variation in HCC management across different centers with poor adherence to evidence-based clinical practice guidelines as assessed in prior studies. In Australia, quality indicators (QIs) have recently been proposed by a multidisciplinary group of experts to help provide a framework to assess and monitor the quality of HCC care. In this review, we discuss the many areas where real-world practice deviates from evidence-based medicine, the role that QI sets play in addressing this gap, and the similarities and differences between Australian QIs and other leading treatment guidelines and QI sets from around the world. We focus on the utility of QI sets to identify opportunities for targeted improvement in the real-world clinical environment. We conclude with a discussion about the formation of a national clinical quality registry as a long-term measure to facilitate continual improvements in patient care within and across sites in order to optimize patient outcomes.

An updated overview on hepatocellular carcinoma in patients with Metabolic dysfunction-Associated Steatotic Liver Disease: Trends, pathophysiology and risk-based surveillance

Hepatocellular carcinoma (HCC) is a relevant complication occurring in individuals with advanced Metabolic dysfunction-Associated Steatotic Liver Disease (MASLD). Recent epidemiological data suggest an alarming increase in the HCC burden worldwide, with a relevant proportion attributable to MASLD (up to 38 %), either in cirrhotic or non-cirrhotic livers. In view of the changing landscape of metabolic syndrome as "silent pandemic", this narrative review aims to provide an updated picture of the burden of HCC in individuals with MASLD. In the complex pathophysiological pathways linking insulin resistance to MASLD and cardiometabolic syndrome, metabolic inflammation appears a relevant driver of systemic as well as organ-specific complications. Novel insights from the field of immunology, gut-derived liver damage, and association with extra-hepatic cancers will be discussed. Finally, strategies for risk-based HCC surveillance (circulating biomarkers, prognostic models and polygenic risk scores) will be provided and the potential impact of novel drug targeting fibrosing Metabolic dysfunction-Associated Steatohepatitis (MASH) on incident HCC will be discussed.

Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults

BACKGROUND

Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).

METHODS

Models were identified through a systematic review and categorized by the target population and outcomes (hepatocellular carcinoma [HCC] and CLD). The performance of models to predict 10-year risk of CLD was assessed by discrimination (C-index) and calibration (observed vs predicted probabilies).

RESULTS

The systematic review identified 57 articles and 114 models (28.4% undergone external validation), including 13 eligible for validation in CKB. Models with high discrimination (C-index ≥ 0.70) in CKB were as follows: (1) general population: Li-2018 and Wen 1-2012 for HCC, CLivD score (non-lab and lab) and dAAR for CLD; (2) hepatitis B virus (HBV) infected individuals: Cao-2021 for HCC and CAP-B for CLD. In CKB, all models tended to overestimate the risk (O:E ratio 0.55-0.94). In meta-analysis, we further identified models with high discrimination: (1) general population (C-index ≥ 0.70): Sinn-2020, Wen 2-2012, and Wen 3-2012 for HCC, and FIB-4 and Forns for CLD; (2) HBV infected individuals (C-index ≥ 0.80): RWS-HCC and REACH-B IIa for HCC and GAG-HCC for HCC and CLD.

CONCLUSIONS

Several models showed good discrimination and calibration in external validation, indicating their potential feasibility for risk stratification in population-based screening programs for CLD in Chinese adults.

Outpatient management after hospitalisation for acute decompensation of cirrhosis: A practical guide

Acute decompensation in cirrhotic patients signifies the onset of clinically evident events due to portal hypertension. The transition from compensated to decompensated cirrhosis involves hemodynamic changes leading to multiorgan dysfunction, managed predominantly in outpatient settings with regular monitoring. The mortality risk is elevated in decompensated patients. Therefore, diligent outpatient management should focus on regular medical follow-ups, medication adjustments, patient education, addressing emergent issues and evaluation for liver transplantation. The ultimate goal is to improve quality of life, prevent disease progression, reduce complications, and assess possible recompensation. This guide provides valuable recommendations for medical experts managing decompensated cirrhotic patients post-hospitalization.

Nanotechnology for the Diagnosis and Treatment of Liver Cancer

Liver cancer has become a major global health challenge due to its high incidence, high rate of late diagnosis and limited treatment options. Although there are many clinical treatments available for liver cancer, the cure rate is still very low, and now researchers have begun to explore new aspects of liver cancer treatment, and nanotechnology has shown great potential for improving diagnostic accuracy and therapeutic efficacy and is therefore a promising treatment option. In diagnosis, nanomaterials such as gold nanoparticles, magnetic nanoparticles, and silver nanoparticles can realize highly sensitive and specific detection of liver cancer biomarkers, supporting diagnosis and real-time monitoring of the disease process. In terms of treatment, nanocarriers can realize precise targeted delivery of drugs, improve the bioavailability of liver cancer therapeutic drugs and reduce systemic toxic side effects. In addition, advanced technologies such as nanoparticle-based photothermal therapy and photodynamic therapy provide innovative solutions to overcome drug resistance and local tumor ablation. Therefore, in this paper, we will introduce nanotechnology for hepatocellular carcinoma in terms of tumor marker detection, targeted drug delivery, and synergistic PDT/CDT therapy.

Novel biomarkers for monitoring and management of hepatocellular carcinoma

Due to current challenges in the early detection, less than 40% of individuals diagnosed with hepatocellular carcinoma (HCC) are viable candidates for surgical intervention. Therefore, validating and launching of a novel precise diagnostic approach is essential for early diagnosis. Based on developing evidence using circulating tumor cells and their derivatives, circulating miRNAs, and extracellular vesicles (EVs), liquid biopsy may offer a reliable platform for the HCC's early diagnosis. Each liquid biopsy analyte may provide significant areas for diagnosis, prognostic assessment, and treatment monitoring of HCC patients depending on its kind, sensitivity, and specificity. The current review addresses potential clinical applications, current research, and future developments for liquid biopsy in HCC management.

Addressing the essentials of the recent guidelines for managing patients with metabolic dysfunction-associated steatotic liver disease

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of end-stage liver disease and liver transplantation in the Western world, with an approximate prevalence of 30% worldwide which is continuously rising. It is characterized by intrahepatic fat deposition along with at least one cardiometabolic risk factor, such as diabetes mellitus, obesity, hypertriglyceridemia, and hypertension. MASLD consists of a spectrum of liver diseases ranging from simple liver steatosis to steatohepatitis, liver fibrosis, and cirrhosis. Recently, the European Association for the Study of the Liver (EASL), the European Association for the Study of Diabetes (EASD), and the European Association for the Study of Obesity (EASO) released the latest guidelines regarding the management of patients with MASLD. This article highlights the critical points of these guidelines and emphasizes problematic issues that need further evaluation.

GALAD, or des-gamma-carboxy prothrombin compared with alpha-foetoprotein for the diagnosis of hepatocellular carcinoma in people with chronic liver disease

OBJECTIVES

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To estimate the diagnostic accuracy of des-gamma-carboxy prothrombin, GALAD (Gender, Age, Lens culinaris agglutinin-reactive AFP, AFP and DCP), and alpha-foetoprotein for the diagnosis of hepatocellular carcinoma of any size, and at any stage, in adults with chronic liver disease, in either a surveillance programme or a clinical setting. We acknowledge the possibility that theoretically, the accuracy of the tests in a surveillance programme may differ from that in a clinical setting due to variation in inclusion criteria and the prevalence of the target condition. However, we do not plan a separate analysis for surveillance and clinical settings, as they are not clearly distinct in current clinical practice (Forner 2018; Poustchi 2011). In routine evaluation of people with chronic liver disease, index tests, as well as ultrasound, are already part of standard procedure. Given that HCC typically presents with no symptoms and is often asymptomatic, suspicion of the disease is typically based solely on the presence of advanced chronic liver disease. However, we do plan to consider the study setting as a potential source of heterogeneity. To compare the diagnostic accuracy of des-gamma-carboxy prothrombin (DCP) alone or GALAD alone versus alpha-foetoprotein (AFP), for the diagnosis of hepatocellular carcinoma (HCC) of any size, at any stage; in adults with chronic liver disease, either in a surveillance programme or a clinical setting. Secondary objectives To estimate the diagnostic accuracy of DCP or GALAD versus AFP, for resectable HCC in people with chronic liver disease, in a surveillance programme and a clinical setting. To investigate the following predefined sources of heterogeneity for each of the index tests: study design (case-control studies compared to cross-sectional studies); inclusion of participants without cirrhosis (studies including more than 10% of participants without cirrhosis compared to studies including less than 10% of participants without cirrhosis); study location (population differences): studies conducted in North and South America and Europe compared to Asia and Africa; prevalence of the target condition (studies with hepatocellular carcinoma prevalence more than 10% compared to studies with hepatocellular carcinoma prevalence less than 10%); participant selection (participants recruited from planned surveillance programmes compared to clinical cohorts); different reference standards (histology of the explanted liver compared to liver biopsy compared to another reference standard); different aetiology: studies including at least 90% of participants with chronic viral hepatitis compared to studies including less than 90% of participants with chronic viral hepatitis.

Aggregation-induced emission: Application in diagnosis and therapy of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a serious health issue due to its low early diagnosis rate, resistance to chemotherapy, and poor five-year survival rate. Therefore, it is crucial to explore novel diagnostic and therapeutic approaches tailored to the characteristics of HCC. Aggregation-induced emission (AIE) is a phenomenon where the luminescence of certain molecules, typically non-luminescent or weakly luminescent in solution, is significantly enhanced upon aggregation. AIE has been extensively applied in bioimaging, biosensors, and therapy. Fluorophore materials based on AIE (AIEgens) have a wide range of application scenarios and potential for clinical translation. This review focuses on recent advances in AIE-based strategies for diagnosing and treating HCC. First, the specific functional mechanism of AIE is described. Next, we summarize recent progress in the application of AIE for multimodal imaging, biosensor detection, and phototherapy. Finally, prospects and challenges for the AIE-based application in the diagnosis and therapy of HCC are discussed.

Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma

BACKGROUND

Worldwide, hepatocellular carcinoma (HCC) is the second most lethal cancer, although early-stage HCC is amenable to curative treatment and can facilitate long-term survival. Early detection has proved difficult, as proteomics, transcriptomics, and genomics have been unable to discover suitable biomarkers.

METHODS

To find new biomarkers of HCC, we utilized a spatial omics N-glycan imaging method to identify altered glycosylation in cancer tissue (n = 53) and in paired serum of individuals with HCC (n = 23). Glycoproteomics identified the glycoproteins carrying these N-glycan structures, and we utilized an antibody array-based glycan imaging method to examine all the N-glycans associated with the identified glycoproteins. N-glycans from the examined glycoproteins were used to create machine learning algorithms, which were tested in a case-control sample set of 100 patients with cirrhosis and HCC and 101 matched patients with cirrhosis alone.

RESULTS

Spatial glycan imaging identifies thirteen branched, fucosylated, and high mannose glycans as altered in HCC tissue and in matched patient serum. Glycoproteomics identifies over 50 proteins containing these changes, of which sixteen glycoproteins were selected for further testing in an independent patient set. Algorithms using a combination of glycan and glycoproteins accurately differentiate early-stage and all HCC from cirrhosis with AUROC values of 0.88-0.97.

CONCLUSIONS

In conclusion, we present the development and application of a new biomarker platform, which can identify effective biomarkers for the early detection of HCC. This platform may also apply to other diseases, in which changes in N-linked glycosylation are known to occur.

LI-RADS: Current Status and Future Directions

The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system that uses standardized terminology, technique, interpretation, and reporting of imaging studies for hepatocellular carcinoma surveillance, diagnosis, and locoregional treatment response assessment. Since its initial release in 2011, LI-RADS has evolved and expanded in scope. In this article, we discuss recent updates intended to address clinical needs and mitigate current challenges.

Advanced Imaging of Hepatocellular Carcinoma: A Review of Current and Novel Techniques

Hepatocellular carcinoma (HCC) is the most common primary carcinoma arising from the liver. Although HCC can arise de novo, the vast majority of cases develop in the setting of chronic liver disease. Hepatocarcinogenesis follows a well-studied process during which chronic inflammation and cellular damage precipitate cellular and genetic aberrations, with subsequent propagation of precancerous and cancerous lesions. Surveillance of individuals at high risk of HCC, early diagnosis, and individualized treatment are keys to reducing the mortality associated with this disease. Radiological imaging plays a critical role in the diagnosis and management of these patients. HCC is a unique cancer in that it can be diagnosed with confidence by imaging that meets all radiologic criteria, obviating the risks associated with tissue sampling. This article discusses conventional and emerging imaging techniques for the evaluation of HCC.

Plasma methylated GNB4 and Riplet as a novel dual-marker panel for the detection of hepatocellular carcinoma

Early detection of hepatocellular carcinoma (HCC) can greatly improve the survival rate of patients. We aimed to develop a novel marker panel based on cell-free DNA (cfDNA) methylation for the detection of HCC. The differentially methylated CpG sites (DMCs) specific for HCC blood diagnosis were selected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, then validated by the whole genome bisulphite sequencing (WGBS) of 12 paired HCC and paracancerous tissues. The clinical performance of the panel was evaluated using tissue samples [32 HCC, chronic liver disease (CLD), and healthy individuals] and plasma cohorts (173 HCC, 199 CLD, and 98 healthy individuals). The combination of G protein subunit beta 4 (GNB4) and Riplet had the optimal area under the curve (AUC) in seven candidates through TCGA, GEO, and WGBS analyses. In tissue validation, the GNB4 and Riplet showed an AUC of 100% with a sensitivity and specificity of 100% for detecting any-stage HCC. In plasma, it demonstrated a high sensitivity of 84.39% at 91.92% specificity, with an AUC of 92.51% for detecting any-stage HCC. The dual-marker panel had a higher sensitivity of 78.26% for stage I HCC than alpha-fetoprotein (AFP) of 47.83%, and a high sensitivity of 70.27% for detecting a single tumour (size ≤3 cm). In conclusion, we developed a novel dual-marker panel that demonstrates high accuracy in detecting HCC, surpassing the performance of AFP testing.

Cost-Effectiveness of a Biomarker-Based Screening Strategy for Hepatocellular Carcinoma in Patients with Cirrhosis

Introduction

Given suboptimal performance of ultrasound-based surveillance for early hepatocellular carcinoma (HCC) detection in patients with cirrhosis, there is interest in alternative surveillance strategies, including blood-based biomarkers. We aimed to evaluate the cost-effectiveness of biomarker-based surveillance in patients with cirrhosis.

Methods

We constructed a decision-analytic model to compare ultrasound/alpha-fetoprotein (AFP) and biomarker-based surveillance strategies in 1,000,000 simulated patients with compensated cirrhosis. Model inputs for adherence, benefits, and harms of each strategy were based on literature review, and costs were derived from the Medicare fee schedule. Primary outcomes were quality-adjusted life-years (QALY) and incremental cost-effectiveness ratio (ICER) of the surveillance strategies, with cost-effectiveness assessed at a threshold of USD 150,000 per QALY. We performed sensitivity analyses for HCC incidence, test performance characteristics, surveillance adherence, and biomarker costs.

Results

In the base case, both ultrasound/AFP and biomarker-based surveillance were cost-effective versus no surveillance, with ICERs of USD 105,620, and USD 101,295, per QALY, respectively. Biomarker-based surveillance was also cost-effective versus ultrasound/AFP, with an ICER of USD 14,800 per QALY. Biomarker sensitivity exceeding 80%, cost below USD 210, or adherence exceeding 58% were necessary for biomarker-based screening to be cost-effective versus ultrasound/AFP. In two-way sensitivity analyses, biomarker costs were directly related with test sensitivity and adherence, whereas sensitivity and adherence were inversely related. In a probabilistic sensitivity analysis, biomarker-based screening was the most cost-effective strategy in most (65%) simulations.

Conclusion

Biomarker-based screening appears cost-effective for HCC screening, but results are sensitive to test sensitivity, adherence, and costs.

LI-RADS US Surveillance Version 2024 for Surveillance of Hepatocellular Carcinoma: An Update to the American College of Radiology US LI-RADS

In 2017, the American College of Radiology introduced the US Liver Imaging Reporting and Data System (LI-RADS) as a framework for US surveillance of patients at risk for developing hepatocellular carcinoma. This has aided in the standardization of technique, clinical reporting, patient management, data collection, and research. Emerging evidence has helped inform changes to the algorithm, now released as LI-RADS US Surveillance version 2024. The updated algorithm, the rationale for changes, and its alignment with the 2023 American Association for the Study of Liver Diseases Practice Guidance are presented.

Surveillance Imaging and GAAD/GALAD Scores for Detection of Hepatocellular Carcinoma in Patients with Chronic Hepatitis

Background and Aims

Early detection of hepatocellular carcinoma (HCC) is crucial for improving survival in patients with chronic hepatitis. The GALAD algorithm combines gender (biological sex), age, α-fetoprotein (AFP), Lens culinaris agglutinin-reactive fraction of AFP (AFP-L3), and protein induced by vitamin K absence or antagonist-II (PIVKA-II) for HCC detection. Similarly, the GAAD algorithm incorporates gender (biological sex), age, AFP, and PIVKA-II. This study aimed to assess the clinical utility of AFP-L3 in the GALAD algorithm and its potential synergies with ultrasound. We compared the clinical performance of GALAD with GAAD; AFP; AFP-L3; and PIVKA-II, with or without ultrasound, in Taiwanese adults.

Methods

A total of 439 serum samples were analyzed using a Cobas® e 601 analyzer (healthy controls, n = 200; chronic liver disease controls, n = 177; HCC cases, n = 62). Performance was assessed through receiver operating characteristic curve analyses to calculate the area under the curve.

Results

The area under the curve for differentiating early-stage HCC from patients with chronic liver disease was optimal for PIVKA-II (84.9%), GAAD (79.8%), and GALAD (79.4%), with slightly improved performance for detecting all-stage HCC. Clinical performance was unaffected by disease stage or etiology. Sensitivity for early-stage HCC was highest for GAAD (57.6%) and GALAD (57.6%). Sensitivity for each strategy was further enhanced when combined with ultrasound, regardless of disease stage or etiology (P < 0.01).

Conclusions

These findings indicate that the role of AFP-L3 in the GALAD algorithm is minimal, supporting the use of GAAD for HCC detection. A combination of GAAD, GALAD, or PIVKA-II with ultrasound may improve diagnostic efficiency compared with recommended strategies.

Optimizing US for HCC surveillance

Ultrasound is the primary imaging modality used for surveillance of patients at risk for HCC. In 2017, the American College of Radiology Liver Imaging Reporting and Data Systems (ACR LI-RADS) introduced US LI-RADS to standardize the performance, interpretation, and reporting of US for HCC surveillance, with the algorithm recently updated as LI-RADS US Surveillance v2024. The American Association for the Study of Liver Diseases (AASLD) recommends reporting both the examination-level LI-RADS US Category as well as the US Visualization Score. The US Category conveys the overall findings of the exam and primarily determines follow up recommendations. The US Visualization Score conveys the expected sensitivity of the test and stratifies patients into appropriate surveillance pathways. One of the goals of routine surveillance is the detection of HCC at an early, potentially curable stage. Therefore, optimizing US technique is of critical importance. Increasing North American and worldwide utilization of LI-RADS US Surveillance, which includes technical recommendations, through education and outreach will undoubtedly benefit patients undergoing US HCC surveillance.