Imaging for the diagnosis of hepatocellular carcinoma: A systematic review and meta-analysis

Statistical Cure After Hepatectomy for Hepatitis B Virus-Associated Hepatocellular Carcinoma: A Risk-Stratification Model

BACKGROUND

Statistical cure, defined as achieving life expectancy comparable with that of disease-free individuals, has not been specifically investigated in hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC), which accounts for more than 50% of the global HCC burden. This study aimed to develop a cure model for HBV-HCC after hepatectomy using matched HBV carriers and the general population as reference groups.

METHODS

From a Chinese multicenter database, HBV-HCC patients who underwent curative-intent hepatectomy were retrospectively reviewed. Independent prognostic factors were identified through Cox regression. A spline-based cure model was applied using two reference populations: matched Chinese HBV carriers (from Shanghai Center for Disease Control and Prevention) and the general population (from the National Bureau of Statistics).

RESULTS

The study analyzed 740 HBV-HCC patients. The following eight independent risk factors were identified: preoperative high viral load (hazard ratio [HR] 1.27), Child-Pugh grade (HR 1.21 and 1.43), multiple tumors (HR 1.70), tumor size greater than 5.0 cm (HR 1.47), macrovascular invasion (HR 3.33), microvascular invasion (HR 1.25), intraoperative blood transfusion (HR 1.21), and postoperative HBV reactivation (HR 1.89). The overall cure probability was 21.2% versus that for HBV carriers and 11.1% versus that for the general population. Risk stratification identified distinct groups relative to HBV carriers. Low risk (64.2%) showed an initial cure rate of 30.3% and achieved a 95% cure probability by 8.6 years, whereas high risk (10.5%) showed negligible cure probability.

CONCLUSIONS

This first HBV-HCC-specific cure model demonstrated that statistical cure is achievable for a subset of patients after hepatectomy. Risk stratification identifies patients with varying cure probabilities, providing valuable guidance for personalized treatment strategies and surveillance protocols.

Fat fraction quantification by MRI predicts diagnosis and prognosis of HBV-related steatohepatitic hepatocellular carcinoma

OBJECTIVES

This study explored the clinical prognosis and lipidomics of hepatitis B virus steatohepatitic hepatocellular carcinoma (HBV-SHHCC) and aimed to identify a noninvasive and convenient method to diagnose this phenotype and guide treatment using MRI.

METHODS

A total of 433 HBV-infected HCC patients were enrolled in this retrospective study. Survival data were analyzed using Cox regression analyses, and lipidomics was used to study HCC tissue composition. Logistic regression identified an independent predictor for HBV-SHHCC, and receiver-operating characteristic (ROC) analysis verified its discrimination.

RESULTS

HBV-SHHCC patients had longer disease-free survival (DFS, p < 0.0001) and overall survival (OS) time (p = 0.00097). Compared with common HCC (cHCC), SHHCC was associated with significantly higher mean triacylglyceride (p = 0.010) and diacylglyceride contents (p = 0.002) in tumor tissues. Fat fraction (FF) was linearly correlated with lipid composition and fatty acid degradation (FAD) subtype, which could help in treatment options for HCC. The univariate and multivariate logistic regression indicated FF (p < 0.001) as an independent predictor for diagnosing this phenotype. ROC analysis confirmed excellent discrimination (area under the curve (AUC), 0.914; sensitivity, 92.3%; specificity, 78.7.0%). After using the optimal cutoff point, the DFS time of patients with SHHCC stratified by FF was significantly higher than that of patients with cHCC.

CONCLUSION

The biological behavior and prognosis of HBV-SHHCC were better than those of other types. FF is a valuable tool for the clinical diagnosis of SHHCC, prognosis prediction, and treatment guidance in patients with HCC.

KEY POINTS

Question Can the diagnosis of steatohepatitic hepatocellular carcinoma (SHHCC) be made noninvasively? Findings Fat fraction (FF) correlated with lipid composition and could be used to diagnose SHHCC with an AUC of 0.914, sensitivity of 92.3%, and specificity of 78.7%. Clinical relevance MRI-based FF could be used to diagnose HBV-related SHHCC, indicate prognosis, and guide the clinical treatment of patients with HCC.

Advances in the treatment of hepatocellular carcinoma: An overview of the current and evolving therapeutic landscape for clinicians

Hepatocellular carcinoma (HCC) is the sixth most common malignancy and the third leading cause of cancer-related death worldwide. Contemporary advances in systemic and locoregional therapies have led to changes in peer-reviewed guidelines regarding systemic therapy as well as the possibility of downstaging disease that may enable some patients with advanced disease to ultimately undergo partial hepatectomy or transplantation with curative intent. This review focuses on all modalities of therapy for HCC, guided by modern-day practice-changing randomized data where available. The surgical management of HCC, including resection and transplantation, both of which have evolving criteria for what is considered biologically resectable and transplantable, as well as locoregional therapy (i.e., therapeutic embolization, ablation, radiation, and hepatic arterial infusion), are discussed. Historical and modern-day practice-changing trials evaluating immunotherapy with targeted therapies for advanced disease, as well as adjuvant systemic therapy, are also summarized. In addition, this article examines the critical dimension of toxicities and patient-oriented considerations to ensure a comprehensive and balanced discourse on treatment implications.

Cost-Effective Identification of Hepatocellular Carcinoma from Cirrhosis or Chronic Hepatitis Virus Infection Using Eight Methylated Plasma DNA Markers

Early detection of hepatocellular carcinoma (HCC) in patients with liver cirrhosis (LC) and/or hepatitis virus B/C infection (HVI) improves survival, highlighting the need for accurate, affordable diagnostic tools. Here, 11 methylated DNA markers (MDMs) are identified during marker discovery. In phase I, each selected MDM is validated in 175 plasma samples (HCC, n = 85; LC/HVI, n = 72) by the CO-methylation aMplification rEal-Time PCR (COMET) assay. Of these, 8 MDMs are qualified for phase II study, where a logistic regression model (COMET-LR) is trained and validated with 336 plasma samples (HCC, n = 211; LC/HVI, n = 113; training vs validation, 2:1). In the validation, the COMET-LR achieved 90.0% sensitivity at 97.4% specificity. Notably, sensitivity in patients with TNM stage I, diameter<3 cm, AFP-negative (<20 ng mL-1), PIVKA-II-negative (<40 mAU mL-1) is 82.4%, 77.8%, 88.6%, and 85.7%, respectively. The COMET-LR outperformed multiple protein markers (AFP, AFP-L3, and PIVKA-II) and published scores for HCC screening (GALAD, Doylestown, and ASAP), in terms of both sensitivity and specificity. The assay represents a significant advancement in addressing the unmet need for accurate, non-invasive, accessible, and cost-effective early detection tools for LC/HVI individuals. Further validation in a prospective cohort is warranted.

Engineered nanoparticles for imaging and targeted drug delivery in hepatocellular carcinoma

Liver cancer, notably hepatocellular carcinoma (HCC), poses a significant global health burden due to its high fatality rates. Conventional antitumor medications face challenges, including poor targeting, high toxicity, and drug resistance, leading to suboptimal clinical outcomes. This review focused on nanoparticle use in diagnosing and delivering medication for HCC, aiming to advance the development of nanomedicines for improved treatment outcomes. As an emerging frontier science and technology, nanotechnology has shown great potential, especially in precision medicine and personalized treatment. The success of nanosystems is attributable to their smaller size, biocompatibility, selective tumor accumulation, and lower toxicity. Nanoparticles, as a central part of nanotechnology innovation, have emerged in the field of medical diagnostics and therapeutics to overcome the various limitations of conventional chemotherapy, thus offering promising applications for improved selectivity, earlier and more precise diagnosis of cancers, personalized treatment, and overcoming drug resistance. Nanoparticles play a crucial role in drug delivery and imaging of HCC, with the body acting as a delivery system to target and deliver drugs or diagnostic reagents to specific organs or tissues, helping to accurately diagnose and target therapies while minimizing damage to healthy tissues. They protect drugs from early degradation and increase their biological half-life.

Diagnostic performance of [18F]FAPI-04 PET/CT in suspected recurrent hepatocellular carcinoma: prospective comparison with contrast-enhanced CT/MRI

PURPOSE

To evaluate the diagnostic performance of [18F]FAPI-04 PET/CT in differentiating hepatocellular carcinoma (HCC) recurrence from treatment-induced lesions (TILs) after therapy and compare it with contrast-enhanced CT/MRI (Ce-CT/MRI).

METHODS

Patients with suspected HCC recurrence after resection or local-regional therapy, who underwent Ce-CT/MRI and [18F]FAPI-04 PET/CT, were prospectively enrolled. For each patient or lesion, a three-point-scale (positive, negative, or equivocal) was assigned to Ce-CT/MRI and [18F]FAPI-04 PET/CT. The diagnostic performances of Ce-CT/MRI, [18F]FAPI-04 PET/CT, and their combination were compared by McNemar's test, with histopathology or radiographic follow-up as a reference standard. The maximum standardized uptake value (SUVmax) and lesion-to-background ratio (LBR) of lesions derived from [18F]FAPI-04 PET/CT were analyzed, and the cut-off points for distinguishing between HCC recurrence and TILs were calculated.

RESULTS

A total of 44 patients with 129 lesions were analyzed, of which 31 patients (91 lesions) were proved to be recurrent HCC and 38 lesions were TILs. On lesion-based analysis, the combination of [18F]FAPI-04 PET/CT with Ce-CT/MRI demonstrated superior sensitivity (86.8% vs. 70.3% vs. 72.5%), specificity (89.5% vs. 42.1% vs. 52.6%), and accuracy (87.6% vs. 62.0% vs. 66.7%) compared to Ce-CT/MRI and [18F]FAPI-04 PET/CT alone (all P < 0.001). The combination altered therapy management in 22.7% of patients. On semiquantitative analysis, the SUVmax and LBR of [18F]FAPI-04 PET in HCC recurrence (n = 91) were significantly higher than those in TILs (n = 38) (SUVmax: 8.1 vs. 3.65, P < 0.001; LBR: 5.4 vs. 1.9, P < 0.001). Using cutoff points of 5.1 for SUVmax and 2.3 for LBR, [18F]FAPI-04 PET/CT exhibited high sensitivity and specificity in differentiating recurrent HCC from TILs, with 83.5%, 78.9% and 96.2%, 63.2%, respectively.

CONCLUSIONS

The combination of [18F]FAPI-04 PET/CT with Ce-CT/MRI significantly improved diagnostic sensitivity, specificity, and accuracy in differentiating recurrent HCC from TILs. [18F]FAPI-04 PET may be a promising imaging modality in detecting recurrent HCC.

TRIAL REGISTRATION

clinicaltrials.gov: NCT05485792.

Endoscopic ultrasound-guided tissue acquisition for focal liver lesions in patients with a history of multiple primary malignant neoplasms

Objective

This study aimed to investigate the usefulness of endoscopic ultrasound-guided tissue acquisition (EUS-TA) for diagnosing focal liver lesions in patients with a history of multiple primary malignant neoplasms.

Methods

Among patients who underwent EUS-TA for focal liver lesions between 2016 and 2022, those with a history of multiple malignant neoplasms were included. A histologically confirmed malignant tumor within the past 5 years before EUS-TA was defined as a history of malignant neoplasm. The primary outcomes were diagnostic ability and adverse events of EUS-TA.

Results

This study included 16 patients (median age, 73 [33-90] years), the median tumor size was 32 (6-51) mm, 14 had a history of double malignant neoplasms, whereas two had triple malignant neoplasms. Malignant neoplasms were detected histologically or cytologically in all cases. Immunohistochemistry was performed in 75% (12/16), and the final diagnosis of EUS-TA was metastatic liver tumor in 12 patients, and primary malignant liver tumor in four patients. The primary site could be identified in 11 of 12 metastatic tumor cases. The diagnostic yield of EUS-TA was 100% (16/16) for differentiating benign and malignant tumors and 94% (15/16) for confirming the histological type including the primary site of metastatic lesions. No adverse events were associated with the procedure.

Conclusion

EUS-TA is a useful diagnostic modality for focal liver lesions in patients with a history of multiple malignant neoplasms, allowing for the differential diagnosis of primary and metastatic tumors and identification of the primary site of metastatic lesions.

The role of contrast-enhanced ultrasound in the radiological classification of liver observations identified by CT and MRI

BACKGROUND & AIMS

Timely and accurate diagnosis of hepatocellular carcinoma (HCC) is essential for improving patient outcomes and guiding treatment. This multicenter study aimed to optimize the diagnostic workflow for HCC through a step-wise combination of CT/MRI and contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS).

METHODS

This was a multicenter, retrospective analysis of prospectively recruited high-risk HCC participants with liver observations from 4 institutions, between January 2017 and December 2021. These participants initially underwent CT/MRI followed by CEUS, with observations categorized according to CT/MRI/CEUS LI-RADS. Three step-wise diagnostic strategies were evaluated, starting with CT/MRI and followed by CEUS, and compared to CT/MRI LI-RADS alone. Performance metrics included AUC, accuracy, sensitivity, specificity, PPV, and NPV, using pathology or over one year of follow-up as standards. The impact on clinical decisions was measured by false-negative, false-positive, and biopsy rates.

RESULTS

Of 1264 participants, 874 (69%) were confirmed as HCC. The step-wise strategies outperformed CT/MRI LI-RADS. Strategy-3, which involved subsequent CEUS for CT/MRI LR-3/4 observations, significantly improved sensitivity (88.8% vs. 79.9%, P < 0.001) while maintaining comparable specificity (88.2% vs. 91.3%, P > 0.05). Strategy-3 reduced biopsy rate (31.5-22.4%, P = 0.028) and decreased false-negative rate (20.1-11.2%, P < 0.001). Additionally, 96% (55/57) of CT/MRI LR-3 and 97% (77/79) of CT/MRI LR-4 observations were accurately diagnosed and treated as HCC, with 61% (74/121) of CT/MRI LR-4 observations avoiding biopsy with CEUS-assisted.

CONCLUSION

A step-wise approach using CT/MRI followed by CEUS for LR-3/4 observations improved the diagnostic performance and further refined clinical decision-making in HCC.

TRIAL REGISTRATION

Clinical Trial Registration Number: ChiCTR-DDD-16010089.

Current Trends and Impact of Liver Biopsy on Survival in Hepatocellular Carcinoma: A Korean Multicenter Analysis

Background/Objectives: The diagnosis of hepatocellular carcinoma (HCC) mainly relies on imaging, with biopsy reserved for cases where imaging results are inconclusive. While biopsy offers histological confirmation and can guide treatment decisions, its impact on survival outcomes in HCC patients remains uncertain. This study aimed to examine biopsy practices and evaluate their effects on survival rates in HCC patients. Methods: We analyzed data from 18,304 HCC patients in the Korean Primary Liver Cancer Registry from 2008 to 2019. We compared overall survival (OS) and transplant-free survival (TFS) between patients who underwent a biopsy and those diagnosed solely based on imaging. Results: From 2008 to 2019, liver biopsy rates varied, reaching a peak of 12.44% in 2009 and declining to 8.18% in 2012, with the majority of patients (90.3%) diagnosed through imaging. Trans-arterial chemoembolization was the most common treatment overall (40.5%), especially in the non-biopsy group. Sorafenib use increased significantly in both groups after 2015. Patients who underwent biopsy had lower OS (43.1 ± 1.29 months) and TFS (42.45 ± 1.28 months) compared to those diagnosed via imaging (OS: 54.5 ± 0.48 months, TFS: 52.57 ± 0.47 months, p < 0.001 for both). However, Cox regression analysis indicated that biopsy was not a significant risk factor for OS (HR: 1.021, p = 0.502) or TFS (HR: 1.013, p = 0.674). Subgroup analysis suggested that biopsy may benefit patients with advanced stage IV-B by enabling more aggressive treatment strategies. Conclusions: Liver biopsy rates fluctuated over time, with the majority of HCC diagnoses made through imaging. Although biopsy does not significantly affect OS or TFS, it may provide advantages in advanced cases, such as stage IV-B, by guiding more aggressive treatment strategies.

LI-RADS for Diagnosing Hepatocellular Carcinoma in Patients with Noncirrhotic Chronic Hepatitis C

Background The Liver Imaging Reporting and Data System (LI-RADS) criteria have not been validated for patients with noncirrhotic chronic hepatitis C (CHC), who are at a greater risk for hepatocellular carcinoma (HCC) than the general population. Purpose To evaluate the diagnostic performance of LI-RADS category 5 (LR-5, indicating definite HCC) observations for HCC using CT and MRI in patients with noncirrhotic CHC and to compare these findings with those in patients with cirrhotic CHC. Materials and Methods This retrospective study included patients without cirrhosis with CHC with focal hepatic nodules of 1 cm or greater on dynamic CT or MRI scans who underwent pathologic confirmation at two university hospitals from August 2002 to February 2022. This group served as the test dataset. The primary outcome was the diagnostic performance of LR-5 for HCC using CT and MRI. When LI-RADS categorization differed between CT and MRI, the MRI-based classification was used as the definitive category. Results were validated using a dataset of patients with CHC from two additional hospitals based on the clinical composite reference standard. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated. Results The test dataset comprised 458 patients (mean age, 64 years ± 9 [SD]; 350 male; 219 without cirrhosis, 239 with cirrhosis). For noncirrhotic livers, the LR-5 criteria achieved an AUC, accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 0.90 (95% CI: 0.86, 0.93), 85.1% (95% CI: 80.6, 89.7), 82.4% (95% CI: 77.0, 87.8), 97.6% (95% CI: 93.0, 100.0), 99.4% (95% CI: 98.2, 100.0), and 54.7% (95% CI: 43.4, 65.9), respectively. The AUC for LR-5 observations in diagnosing HCC was higher in the noncirrhotic liver group compared with the cirrhotic liver group (AUC, 0.90 [95% CI: 0.86, 0.93] vs 0.79 [95% CI: 0.74, 0.84]; P = .002). The diagnostic performance of the LR-5 criteria for diagnosing HCC was also excellent in patients with noncirrhotic CHC in the validation dataset, which included 155 lesions from 103 patients (mean age, 68 years ± 12; 146 male). The AUC, accuracy, sensitivity, specificity, PPV, and NPV in the validation dataset were 0.91 (95% CI: 0.84, 0.97), 96.1% (95% CI: 93.1, 99.2), 82.9% (95% CI: 70.4, 95.3), 100%, 100%, and 95.2% (95% CI: 91.5, 99.0), respectively. Conclusion The diagnostic performance of LR-5 for HCC in patients with noncirrhotic CHC was comparable to that in patients with cirrhosis across various clinical settings. © RSNA, 2025 Supplemental material is available for this article. See also the editorial by Schöllnast in this issue.

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.

Clinical value of CEUS with tumour marker monitoring in evaluating the prognosis of HCC after MWA

PURPOSE

This study aims to evaluate the prognostic value of contrast-enhanced ultrasound (CEUS) combined with tumour markers in patients with hepatocellular carcinoma (HCC) undergoing microwave ablation (MWA).

METHODS

MWA patients with HCC were divided into good prognosis (n ​= ​75) and poor prognosis (n ​= ​69) groups. The levels of alpha-fetoprotein (AFP), carbohydrate antigen (CA19-9), and carcinoembryonic antigen (CEA) before and after MWA were analysed using an independent sample t-test. The correlation between prognosis, ablation lesion area, and tumour marker levels were analysed by Pearson's correlation. The diagnostic power of the ablation lesion area combined with tumour marker levels for the prognosis of patients with MWA was analysed using receiver operating characteristic (ROC) curves.

RESULTS

The levels of AFP, CA19-9, and CEA in the good prognosis group were significantly lower than those in the poor prognosis group (all P ​< ​0.001). The levels of all tumour markers were significantly negatively correlated with the prognosis of patients who underwent MWA (all r ​< ​0, P ​< ​0.001) and positively correlated with the area of tumour-ablated lesions (r ​> ​0, P ​< ​0.001). Moreover, the diagnostic efficacy of CEUS combined with tumour markers for the prognosis of patients who underwent MWA was significantly higher than that of either single diagnostic modality.

CONCLUSIONS

CEUS combined with tumour marker monitoring can effectively improve the accuracy of prognostic diagnosis in patients with MWA and provide a reference for timely and reasonable treatment and therapeutic evaluation.

A concise review of updated global guidelines for the management of hepatocellular carcinoma: 2017-2024

Many guidelines for hepatocellular carcinoma (HCC) have been published and are regularly updated worldwide. HCC management involves a broad range of treatment options and requires multidisciplinary care, resulting in significant heterogeneity in management practices across international communities. To support standardized care for HCC, we systematically appraised 13 globally recognized guidelines and expert consensus statements, including five from Asia, four from Europe, and four from the United States. These guidelines share similarities but reveal notable discrepancies in surveillance strategies, treatment allocation, and other recommendations. Geographic differences in tumor biology (e.g., prevalence of viral hepatitis, alcohol-related liver disease, or metabolic dysfunction-associated steatotic liver disease) and disparities in available medical resources (e.g., organ availability, healthcare infrastructure, and treatment accessibility) complicate the creation of universally applicable guidelines. Previously, significant gaps existed between Asian and Western guidelines, particularly regarding treatment strategies. However, these differences have diminished over the years. Presently, variations are often more attributable to publication dates than to regional differences. Nonetheless, Asia-Pacific experts continue to diverge from the Barcelona Clinic Liver Cancer system, particularly with respect to surgical resection and locoregional therapies, which are viewed as overly conservative in Western guidelines. Advancements in systemic therapies have prompted ongoing updates to these guidelines. Given that each set of guidelines reflects distinct regional characteristics, strengths, and limitations, fostering collaboration and mutual complementarity is essential for addressing discrepancies and advancing global HCC care.

Near-Infrared II Fluorescence Imaging Highlights Tumor Angiogenesis in Hepatocellular Carcinoma with a VEGFR-Targeted Probe

Hepatocellular carcinoma (HCC) is typically characterized by rich vascularity, with angiogenesis playing a crucial role in its growth and invasion. Molecular imaging of specific receptors in blood vessels is crucial in HCC diagnosis. In particular, in vivo imaging utilizing the second near-infrared (NIR-II) window offers improved tissue penetration, reduced light scattering, and lower autofluorescence. Despite the great potential of the NIR-II window, developing safe and effective probes to provide better imaging performance for HCC is urgently needed. In this study, NIR-II imaging integrated with a vascular endothelial growth factor receptor (VEGFR)-targeted probe generated by combining a VEGFR-targeted peptide with indocyanine green (ICG) is used to characterize HCC-related angiogenesis at a resolution of 56.0 µm. For the first time, liver metabolic curves and parameters of liver function reserve (LFR) are obtained by fitting NIR-II fluorescence signals with high spatiotemporal resolution, showing significant differences between HCC mice and controls. Moreover, unlike ICG, the targeting probe has a targeted effect on blood vessels in vivo. The tumor-to-normal (T/N) ratio in NIR-II imaging reaches up to 3.30 after post-injection of the targeting probe. The results indicate that the VEGFR-targeted probe is a powerful tool for NIR-II fluorescence imaging to enhance early diagnosis of HCC.

Research progress of MRI-based radiomics in hepatocellular carcinoma

Background

Primary liver cancer (PLC), notably hepatocellular carcinoma (HCC), stands as a formidable global health challenge, ranking as the sixth most prevalent malignant tumor and the third leading cause of cancer-related deaths. HCC presents a daunting clinical landscape characterized by nonspecific early symptoms and late-stage detection, contributing to its poor prognosis. Moreover, the limited efficacy of existing treatments and high recurrence rates post-surgery compound the challenges in managing this disease. While histopathologic examination remains the cornerstone for HCC diagnosis, its utility in guiding preoperative decisions is constrained. Radiomics, an emerging field, harnesses high-throughput imaging data, encompassing shape, texture, and intensity features, alongside clinical parameters, to elucidate disease characteristics through advanced computational techniques such as machine learning and statistical modeling. MRI radiomics specifically holds significant importance in the diagnosis and treatment of hepatocellular carcinoma (HCC).

Objective

This study aims to evaluate the methodology of radiomics and delineate the clinical advancements facilitated by MRI-based radiomics in the realm of hepatocellular carcinoma diagnosis and treatment.

Methods

A systematic review of the literature was conducted, encompassing peer-reviewed articles published between July 2018 and Jan 2025, sourced from PubMed and Google Scholar. Key search terms included Hepatocellular carcinoma, HCC, Liver cancer, Magnetic resonance imaging, MRI, radiomics, deep learning, machine learning, and artificial intelligence.

Results

A comprehensive analysis of 93 articles underscores the efficacy of MRI radiomics, a noninvasive imaging analysis modality, across various facets of HCC management. These encompass tumor differentiation, subtype classification, histopathological grading, prediction of microvascular invasion (MVI), assessment of treatment response, early recurrence prognostication, and metastasis prediction.

Conclusion

MRI radiomics emerges as a promising adjunctive tool for early HCC detection and personalized preoperative decision-making, with the overarching goal of optimizing patient outcomes. Nevertheless, the current lack of interpretability within the field underscores the imperative for continued research and validation efforts.

Diagnostic Values of Magnetic Resonance Imaging and Computed Tomography for Predicting Macrotrabecular-Massive Hepatocellular Carcinoma Subtype: A Meta-analysis

BACKGROUND

The diagnostic accuracy of magnetic resonance imaging (MRI) vs. computed tomography (CT) for predicting macrotrabecular-massive hepatocellular carcinoma (MTM-HCC) is yet to be ascertained. Therefore, this meta-analysis aimed to summarise the diagnostic accuracies of MRI and CT for MTM-HCC.

METHODS

A comprehensive literature search of PubMed and Embase was conducted up to 20 August 2024, to evaluate the diagnostic performance of MRI and CT for the diagnosis of MTM-HCC. Pooled sensitivity and specificity were calculated for MRI and CT using a bivariate random-effects model. Subgroup analyses based on different covariates were conducted to compare the diagnostic performances of MRI and CT.

RESULTS

15 studies involving 2299 patients, including 706 with MTM-HCC and 1593 with non-MTM-HCC were analysed. Comparative analysis revealed no significant differences between MRI and CT in pooled sensitivity (66% vs. 82%, respectively) and specificity (88% vs. 79%, respectively) for the diagnosis of MTM-HCC (P=0.53), with comparable areas under the summary receiver operating characteristic curves of 0.87 and 0.86, respectively. In the subgroup analysis of imaging methods within radiomics, CT had significantly higher sensitivity and specificity than MRI (98% vs. 85% [sensitivity], 83% vs. 79% [specificity], P=0.01). In the other subgroups, including age, the most common aetiology of liver disease, the proportion of patients with cirrhosis, and tumour size, there were no significant differences (all P>0.05).

CONCLUSION

CT and MRI had comparable predictive performances for the non-invasive diagnosis of MTM-HCC. In the subgroup of radiomics-based imaging methods, CT outperformed MRI. Nevertheless, multicenter prospective studies with uniform design are needed to confirm these findings.

Real-World Management of Hepatocellular Carcinoma: Selected Case Presentations Highlighting the Dilemmas of Surveillance

In the setting of hepatocellular carcinoma (HCC) surveillance, a range of observations can be identified. Often, imaging findings and biochemical results are consistent with the diagnosis of HCC. However, challenges in HCC surveillance can arise in different clinical contexts, particularly when imaging results and tumor biomarkers are discordant. In this article, the authors describe 5 clinical scenarios based on our experiences in which additional evaluation was necessary to determine whether HCC was present or not.

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.

Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study

BACKGROUND

Accurate detection of hepatocellular carcinoma (HCC) in multiphasic contrast CT is essential for effective treatment and surgical planning. However, the variety of CT images, the misdiagnosis and missed diagnosis, and the inconsistent diagnosis among different radiologists pose challenges to accurate detection which demands sufficient clinical experience and can be time-consuming and labor-intensive.

PURPOSE

To evaluate the detection performance of an artificial intelligence (AI)-assisted platform for HCC by the external validation dataset.

METHODS

CT images pathologically diagnosed with HCC from December 2021 to June 2023 were retrospectively analyzed to evaluate the detection ability of the AI-assisted platform. The AI-assisted platform is designed based on a two-phase segmentation approach, integrating coarse and fine segmentation techniques to accurately identify and delineate hepatic lesions. The CT images were annotated and confirmed by the experienced radiologists using InferScholar software as the "gold standard". The automatic HCC segmentation performed by the AI-assisted platform was used to compare with the annotation of radiologists. Furthermore, we also did subgroup analysis depending on the size and location of HCC to explore the impact factors of HCC detectability. The segmentation accuracies were evaluated by Dice coefficient (Dice), accuracy, recall, precision, and F1-score. Our study focused on evaluating the efficacy of the AI-assisted platform in clinical settings.

RESULTS

One Hundred Forty HCC patients were finally included in this study. The artificial intelligence (AI)-assisted platform's performance was rigorously assessed by comparing the segmentation outcomes with standard diagnostic criteria. The average dice score of the AI-assisted platform is 0.8819, which showed a high detection performance for HCC. Besides, for the subgroup analysis, the model also demonstrated high performance in diameter greater than 20 mm with all results exceeding 0.9, and all final evaluation index values for the location analysis were consistently exceeding 0.97. All the results showed comparable performance with radiologists. Our results demonstrate that the product not only accurately segments HCC lesions but also provides valuable insights into lesion characteristics that are essential for effective treatment planning.

CONCLUSION

This study validates the effectiveness of the artificial intelligence-assisted platform in detecting HCC lesions and analyzing lesion size and location. It can serve as an auxiliary tool to help radiologists identify, locate, and assess lesions.

Characterization of hepatocellular carcinoma with CT with deep learning reconstruction compared with iterative reconstruction and 3-Tesla MRI

OBJECTIVES

This study compared the characteristics of lesions suspicious for hepatocellular carcinoma (HCC) and their LI-RADS classifications in adaptive statistical iterative reconstruction (ASIR) and deep learning reconstruction (DLR) to those of MR images, along with radiologist confidence.

MATERIALS AND METHODS

This prospective single-center trial included patients who underwent four-phase liver CT and multiphasic contrast-enhanced MRI within 7 days from February to August 2023. The lesion characteristics, LI-RADS classifications and confidence scores according to two radiologists on the ASIR, DLR and MRI techniques were compared. If the patient had at least one lesion, he was included in the HCC group, otherwise in the non-HCC group. MRI being the technique with the best sensitivity, concordance of lesions characteristics and LI-RADS classifications were calculated by weighted kappa between the ASIR and MRI and between the DLR and MRI. The confidence scores are expressed as the means and standard deviations.

RESULTS

Eighty-nine patients were enrolled, 52 in the HCC group (67 years ± 9 [mean ± SD], 46 men) and 37 in the non-HCC group (68 years ± 9, 33 men). The concordance coefficient between the LI-RADS classification by ASIR and MRI was 0.64 [0.52; 0.76], showing good agreement, that by DLR and MRI was 0.83 [0.73; 0.92], showing excellent agreement. The diagnostic confidence in ASIR was 3.31 ± 0.95 (mean ± SD) and 3.0 ± 1.11, that in the DLR was 3.9 ± 0.88 and 4.11 ± 0.75, that in the MRI was 4.46 ± 0.80 and 4.57 ± 0.80.

CONCLUSION

DLR provided excellent LI-RADS classification concordance with MRI, whereas ASIR provided good concordance. The radiologists' confidence was greater in the DLR than in the ASIR but remained highest in the MR group.

KEY POINTS

Question Does the use of deep learning reconstructions (DLR) improve LI-RADS classification of suspicious hepatocellular carcinoma lesions compared to adaptive statistical iterative reconstructions (ASIR)? Findings DLR demonstrated superior concordance of LI-RADS classification with MRI compared to ASIR. It also provided greater diagnostic confidence than ASIR. Clinical relevance The use of DLR enhances radiologists' ability to visualize and characterize lesions suspected of being HCC, as well as their LI-RADS classification. Moreover, it also boosts their confidence in interpreting these images.

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.

Intraindividual comparison of CT and MRI for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma

OBJECTIVES

To establish and validate scoring models for predicting vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC) using computed tomography (CT) and magnetic resonance imaging (MRI), and to intra-individually compare the predictive performance between the two modalities.

METHODS

We retrospectively included 324 patients with surgically confirmed HCC who underwent preoperative dynamic CT and MRI with extracellular contrast agent between June 2019 and August 2020. These patients were then divided into a discovery cohort (n = 227) and a validation cohort (n = 97). Imaging features and Liver Imaging Reporting and Data System (LI-RADS) categories of VETC-positive HCCs were evaluated. Logistic regression analyses were conducted on the discovery cohort to identify clinical and imaging predictors associated with VETC-positive cases. Subsequently, separate CT-based and MRI-based scoring models were developed, and their diagnostic performance was compared using generalized estimating equations.

RESULTS

On both CT and MRI, VETC-positive HCCs exhibited a higher frequency of size > 5.0 cm, necrosis or severe ischemia, non-smooth tumor margin, targetoid appearance, intratumor artery, and heterogeneous enhancement with septations or irregular ring-like structure compared to VETC-negative HCCs (all p < 0.05). Regarding LI-RADS categories, VETC-positive HCCs were more frequently categorized as LR-M than VETC-negative cases (all p < 0.05). In the validation cohort, the CT-based model showed similar sensitivity (76.7% vs. 86.7%, p = 0.375), specificity (83.6% vs. 74.6%, p = 0.180), and area under the curve value (0.80 vs. 0.81, p = 0.910) to the MRI-based model in predicting VETC-positive HCCs.

CONCLUSION

Preoperative CT and MRI demonstrated comparable performance in the identification of VETC-positive HCCs, thus displaying promising predictive capabilities.

CLINICAL RELEVANCE STATEMENT

Both computed tomography and magnetic resonance imaging demonstrated promise in preoperatively identifying the vessel-encapsulating tumor cluster pattern in hepatocellular carcinoma, with no statistically significant difference between the two modalities, potentially adding additional prognostic value.

KEY POINTS

Computed tomography (CT) and magnetic resonance imaging (MRI) show promise in the preoperative identification of vessels encapsulating tumor clusters-positive hepatocellular carcinoma (HCC). HCC with vessels encapsulating tumor cluster patterns were more frequently LR-M compared to those without. These CT and MRI models showed comparable ability in identifying vessels encapsulating tumor clusters-positive HCC.

LI-RADS in 2024: recent updates, planned refinements, and future directions

Initially released in 2011, liver imaging reporting and data (LI-RADS) CT/MRI diagnostic algorithm categorizes hepatic observations on an ordinal scale based on the probability of hepatocellular carcinoma, malignancy, or benignity, and guides reproducible interpretation, clear communication, and standardized terminology for liver imaging. LI-RADS has significantly expanded in scope in the past decade, with the inclusion of algorithms that address screening and surveillance, diagnosis with contrast enhanced ultrasound (CEUS), and treatment response assessment with both CEUS and CT/MRI. LI-RADS algorithms undergo periodic refinements based on accumulating scientific evidence, user feedback, and technological advancements. This manuscript discusses recent LI-RADS algorithm refinements, planned updates, with a focus on LI-RADS CT/MRI diagnostic algorithm, and future goals.

In Vivo Time-Resolved Fluorescence Detection of Liver Cancer Supported by Machine Learning

OBJECTIVES

One of the widely used optical biopsy methods for monitoring cellular and tissue metabolism is time-resolved fluorescence. The use of this method in optical liver biopsy has a high potential for studying the shift in energy-type production from oxidative phosphorylation to glycolysis and changes in the antioxidant defense of malignant cells. On the other hand, machine learning methods have proven to be an excellent solution to classification problems in medical practice, including biomedical optics. We aim to combine time-resolved fluorescence measurements and machine learning to automate the division of liver parenchyma and tumors (primary malignant, metastases and benign tumors) into classes.

MATERIALS AND METHODS

An optical biopsy was performed using a developed setup with a fine-needle optical probe in clinical conditions under ultrasound control. Fluorescence decays were recorded in a conditionally healthy liver and lesions during percutaneous needle biopsy. The labeled data set was created on the basis of the recorded fluorescence results and the histopathological classification of the biopsies obtained. Several machine learning methods were trained using different separation strategies of the training test set, and their respective accuracy was compared.

RESULTS

Our results show that each of the tumor types had its own characteristic metabolic shifts recorded by the time-resolved fluorescence spectroscopy. The application of machine learning demonstrates a reliable separation of the liver and all tumor types into cancer and noncancer classes with sensitivity, specificity and corresponding accuracy greater than 0.91, 0.79 and 0.90, using the random forest method. We also show that our method is capable of giving a preliminary diagnosis of the type of liver tumor (primary malignant, metastases and benign tumors) with a sensitivity, specificity and accuracy of at least 0.80, 0.95 and 0.90.

CONCLUSIONS

These promising results highlight its potential as a key tool in the future development of diagnostic and therapeutic strategies for liver cancers. Lasers Surg. Med. 00:00-00, 2024. 2024 Wiley Periodicals LLC.

Bridging the Gap Between Imaging and Molecular Characterization: Current Understanding of Radiomics and Radiogenomics in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the sixth most common malignancy worldwide and the third leading cause of cancer-related deaths. Imaging plays a crucial role in the screening, diagnosis, and monitoring of HCC; however, the potential mechanism regarding phenotypes or molecular subtyping remains underexplored. Radiomics significantly expands the selection of features available by extracting quantitative features from imaging data. Radiogenomics bridges the gap between imaging and genetic/transcriptomic information by associating imaging features with critical genes and pathways, thereby providing biological annotations to these features. Despite challenges in interpreting these connections, assessing their universality, and considering the diversity in HCC etiology and genetic information across different populations, radiomics and radiogenomics offer new perspectives for precision treatment in HCC. This article provides an up-to-date summary of the advancements in radiomics and radiogenomics throughout the HCC care continuum, focusing on the clinical applications, advantages, and limitations of current techniques and offering prospects. Future research should aim to overcome these challenges to improve the prognosis of HCC patients and leverage imaging information for patient benefit.

Management of non-alcoholic fatty liver disease-associated hepatocellular carcinoma

In recent years, with the decline in HBV and HCV infections, there has been a corresponding reduction in both the morbidity and mortality of virus-associated HCC. Nevertheless, rising living standards, coupled with the increasing prevalence of metabolic disorders like diabetes and obesity, have led to a rapid surge in non-alcoholic fatty liver disease-associated hepatocellular carcinoma (NAFLD-HCC) incidence. The mechanisms underlying the progression from NAFLD to NAFLD-HCC are multifaceted and remain incompletely understood. Current research suggests that genetic predisposition, metabolic dysregulation, lipotoxicity, oxidative stress, and inflammation are key contributing factors. Given the complexity of these mechanisms and the frequent occurrence of metabolic comorbidities like type 2 diabetes mellitus (T2DM) and cardiovascular disease in NAFLD-HCC patients, there is a pressing need for tailored therapeutic strategies, along with novel prevention, monitoring, and treatment approaches that are personalized to the patient's pathophysiology. Due to the limited depth of research, incomplete understanding of pathogenesis, and insufficient clinical data on NAFLD-HCC treatment, current therapeutic approaches largely rely on tumor staging. In this review, we synthesize current research on the pathogenesis, surveillance, diagnosis, treatment, and prevention of NAFLD-HCC, and offer perspectives for future studies, particularly regarding its underlying mechanisms.

SEOM-GEMCAD-TTD clinical guidelines for the management of hepatocarcinoma patients (2023)

Hepatocellular carcinoma (HCC) is the most common primary malignancy in the liver and is the third cause of cancer-related death worldwide. Surveillance with abdominal ultrasound should be offered to individuals at high risk for developing HCC. Accurate diagnosis, staging, and liver function are crucial when determining the optimal therapeutic approach. The BCLC staging system is widely endorsed in Western countries. Managing this pathology requires a multidisciplinary, personalized approach, generally with a multimodal strategy. Surgery remains the only curative option, albeit local and systemic therapy may also increase survival when surgery is not suitable. In advanced disease, systemic treatment should be offered to patients with ECOG/PS 0-1 and Child-Pugh class A.

The Diagnostic Accuracy Between Radiomics Model and Non-radiomics Model for Preoperative of Microvascular Invasion of Solitary Hepatocellular Carcinoma: A Systematic Review and Meta-analysis

RATIONALE AND OBJECTIVES

Microvascular invasion (MVI) is a key prognostic factor for hepatocellular carcinoma (HCC). The predictive models for solitary HCC could potentially integrate more comprehensive tumor information. Owing to the diverse findings across studies, we aimed to compare radiomic and non-radiomic methods for preoperative MVI detection in solitary HCC.

MATERIALS AND METHODS

Articles were reviewed from databases including PubMed, Embase, Web of Science, and the Cochrane Library until April 7, 2023. The pooled sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were calculated using a random-effects model within a 95% confidence interval (CI). Diagnostic accuracy was assessed using summary receiver-operating characteristic curves and the area under the curve (AUC). Meta-regression and Z-tests identified heterogeneity and compared the predictive accuracy. Subgroup analyses were performed to compare the AUC of two methods according to study type, study design, tumor size, modeling methods, and imaging modality.

RESULTS

The analysis incorporated 26 studies involving 3539 patients with solitary HCC. The radiomics models showed a pooled sensitivity and specificity of 0.79 (95%CI: 0.72-0.85) and 0.78 (95%CI: 0.73-0.82), with an AUC at 0.85 (95%CI: 0.82-0.88). Conversely, the non-radiomics models had sensitivity and specificity of 0.74 (95%CI: 0.65-0.81) and 0.88 (95%CI: 0.82-0.92) and an AUC of 0.88 (95%CI: 0.85-0.91). Subgroups with preoperative MRI, larger tumors, and functional imaging had higher accuracy than those using preoperative CT, smaller tumors, and conventional imaging.

CONCLUSION

Non-radiomic methods outperformed radiomic methods, but high heterogeneity calls across studies for cautious interpretation.

Imaging of Cirrhosis and Hepatocellular Carcinoma: Current Evidence

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide. Early detection of HCC is a key factor in enabling curative therapies and improving overall survival. Worldwide, several guidelines are available for surveillance of at-risk populations and diagnosis of HCC. This article provides a current comprehensive update on screening and diagnosis of HCC.

Natural History of Indeterminate Liver Nodules in Patients With Advanced Liver Disease: A Multicenter Retrospective Cohort Study

INTRODUCTION

Indeterminate liver nodules (ILNs) are frequently encountered on diagnostic imaging after positive hepatocellular carcinoma (HCC) surveillance results, but their natural history remains unclear.

METHODS

We conducted a multicenter retrospective cohort study among patients with ≥1 newly detected LI-RADS 3 (LR-3) lesion ≥1 cm or LI-RADS 4 (LR-4) lesion of any size (per LI-RADS v2018) between January 2018 and December 2019. Patients were followed with repeat imaging at each site per institutional standard of care. Multivariable Fine-Gray models were used to evaluate associations between potential risk factors and patient-level time-to-HCC diagnosis, with death and liver transplantation as competing risks.

RESULTS

Of 307 patients with ILNs, 208 had LR-3 lesions, 83 had LR-4 lesions, and 16 had both LR-3 and LR-4 lesions. HCC incidence rates for patients with LR-3 and LR-4 lesions were 110 (95% CI 70-150) and 420 (95% CI 310-560) per 1,000 person-year, respectively. In multivariable analysis, incident HCC among patients with LR-3 lesions was associated with older age, thrombocytopenia (platelet count ≤150 ×10 9 /L), and elevated serum alpha-fetoprotein levels. Among those with LR-4 lesions, incident HCC was associated with a maximum lesion diameter >1 cm. Although most patients had follow-up computed tomography or magnetic resonance imaging, 13.7% had no follow-up imaging and another 14.3% had follow-up ultrasound only.

DISCUSSION

ILNs have a high but variable risk of HCC, with 4-fold higher risk in patients with LR-4 lesions than those with LR-3 lesions, highlighting a need for accurate risk stratification tools and close follow-up in this population.

LI-RADS v2018 category and imaging features: inter-modality agreement between contrast-enhanced CT, gadoxetate disodium-enhanced MRI, and extracellular contrast-enhanced MRI

PURPOSE

To perform an intra-individual comparison of LI-RADS category and imaging features in patients at high risk of hepatocellular carcinoma (HCC) on contrast-enhanced CT, gadoxetate disodium-enhanced MRI (EOB-MRI), and extracellular agent-enhanced MRI (ECA-MRI) and to analyze the diagnostic performance of each imaging modality.

METHOD

This retrospective study included cirrhotic patients with at least one LR-3, LR-4, LR-5, LR-M or LR-TIV observation imaged with at least two imaging modalities among CT, EOB-MRI, or ECA-MRI. Two radiologists evaluated the observations using the LI-RADS v2018 diagnostic algorithm. Reference standard included pathologic confirmation and imaging criteria according to LI-RADS v2018. Imaging features were compared between different exams using the McNemar test. Inter-modality agreement was calculated by using the weighted Cohen's kappa (k) test.

RESULTS

A total of 144 observations (mean size 34.0 ± 32.4 mm) in 96 patients were included. There were no significant differences in the detection of major and ancillary imaging features between the three imaging modalities. When considering all the observations, inter-modality agreement for category assignment was substantial between CT and EOB-MRI (k 0.60; 95%CI 0.44, 0.75), moderate between CT and ECA-MRI (k 0.46; 95%CI 0.22, 0.69) and substantial between EOB-MRI and ECA-MRI (k 0.72; 95%CI 0.59, 0.85). In observations smaller than 20 mm, inter-modality agreement was fair between CT and EOB-MRI (k 0.26; 95%CI 0.05, 0.47), moderate between CT and ECA-MRI (k 0.42; 95%CI -0.02, 0.88), and substantial between EOB-MRI and ECA-MRI (k 0.65; 95%CI 0.47, 0.82). ECA-MRI demonstrated the highest sensitivity (70%) and specificity (100%) when considering LR-5 as predictor of HCC.

CONCLUSIONS

Inter-modality agreement between CT, ECA-MRI, and EOB-MRI decreases in observations smaller than 20 mm. ECA-MRI has the provided higher sensitivity for the diagnosis of HCC.

Risk of Hepatocellular Carcinoma in Subcentimeter Liver Nodules Identified on Surveillance Ultrasound: A Systematic Review

BACKGROUND & AIMS

Guidelines recommend that sub-centimeter nodules on ultrasound be followed with short-interval surveillance ultrasound, given assumed low risk of hepatocellular carcinoma (HCC) and suboptimal diagnostic imaging performance in lesions <1 cm. We performed a systematic review to estimate HCC risk among patients with cirrhosis and sub-centimeter nodules detected on ultrasound.

METHODS

We systematically searched Ovid MEDLINE and EMBASE databases for relevant articles published between January 2005 and July 2024. A random-effects model was used to calculate the pooled proportion of incident HCC.

RESULTS

We identified 9 eligible studies, of which 5 provided both lesion- and patient-level data (n = 354 patients), 2 patient-level alone (n = 888 patients), and 2 lesion-level alone (n = 69 lesions). The pooled proportion of incident HCC was 31.9% (95% confidence interval [CI], 8.7%-69.7%) on a lesion-level and 21.3% (95% CI, 6.0%-53.6%) on a patient-level; however, pooled estimates were limited by high heterogeneity (I2 >90%). Among 2 studies with study periods post-dating 2015, HCC developed in only ∼5% of patients during a median follow-up of 2 years. Risk factors associated with incident HCC were older age, male sex, elevated alpha-fetoprotein levels, thrombocytopenia, and Child Pugh B cirrhosis. Limitations of studies included small sample sizes, selection bias, ascertainment bias for HCC, and failure to report factors associated with HCC.

CONCLUSION

Up to one-fifth of patients with sub-centimeter nodules may develop HCC, although contemporary cohorts report a substantially lower risk. Older patients and those with elevated alpha-fetoprotein levels or poorer liver function are at greatest risk of HCC, highlighting an unmet need for better risk stratification models.

An overview of risk assessment and monitoring of malignant transformation in cirrhotic nodules

Cirrhotic liver nodules can progress to hepatocellular carcinoma (HCC) through a multi-step carcinogenesis model, with dysplastic nodules being particularly high risk. Currently, monitoring the progression of non-HCC cirrhotic nodules is primarily through dynamic observation, but there is a lack of sensitive, efficient, and convenient methods. Dynamic monitoring and risk evaluation of malignant transformation are essential for timely treatment and improved patient survival rates. Routine liver biopsies are impractical for monitoring, and imaging techniques like ultrasound, computed tomography, and magnetic resonance imaging are not suitable for all patients or for accurately assessing subcentimeter nodules. Identifying serum biomarkers with high sensitivity, specificity, and stability, and developing a multi-index evaluation model, may provide a more convenient and efficient approach to monitoring pathological changes in cirrhotic nodules.

State-of-the-art imaging of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the third most fatal and fifth most common cancer worldwide, with rising incidence due to obesity and nonalcoholic fatty liver disease. Imaging modalities, including ultrasound (US), multidetector computed tomography (MDCT), and magnetic resonance imaging (MRI) play a vital role in detecting HCC characteristics, aiding in early detection, detailed visualization, and accurate differentiation of liver lesions. Liver-specific contrast agents, the Liver Imaging Reporting and Data System, and advanced techniques, including diffusion-weighted imaging and artificial intelligence, further enhance diagnostic accuracy. This review emphasizes the significant role of imaging in managing HCC, from diagnosis to treatment assessment, without the need for invasive biopsies.

Cho W, Yang YJ, Azarian M, Shafiee Ardestani M, Nasiri N, Ramezani Farani M, Huh YS. Nanomedicine Strategies Utilizing Lipid-Based Nanoparticles for Liver Cancer Therapy: Exploring Signaling Pathways and Therapeutic Modalities

Liver cancer, specifically hepatocellular carcinoma (HCC), is the second leading cause of cancer-related deaths, following pancreatic cancer. The 5-year overall survival rate for HCC remains relatively low. Currently, there are multiple treatment options available for HCC, including systemic drugs, minimally invasive local therapies such as radiofrequency ablation, transarterial chemoembolization (TACE), and arterial radioembolization (TARE), as well as surgical interventions like liver resection or transplantation. However, the effectiveness of drug delivery to the cancerous liver is hindered by pathophysiological changes in the organ. In order to address this challenge, lipid-based nanoparticles (LNPs) have emerged as promising platforms for delivering a diverse range of therapeutic drugs. LNPs offer various structural configurations that enhance their physical stability and enable them to accommodate different types of cargo with varying mechanical properties and degrees of hydrophobicity. In this article, we provide a comprehensive review of the current applications of LNPs in the development of anti-HCC therapies. By examining the existing research, we aim to shed light on the potential future directions and advancements in this field.

Liquid Chromatography/Tandem Mass Spectrometry-Based Simultaneous Analysis of 32 Bile Acids in Plasma and Conventional Biomarker-Integrated Diagnostic Screening Model Development for Hepatocellular Carcinoma

Imaging tests, tumor marker (TM) screening, and biochemical tests provide a definitive diagnosis of hepatocellular carcinoma (HCC). However, some patients with HCC may present TM-negative results, warranting a need for developing more sensitive and accurate screening biomarkers. Various diseases exhibit increased blood levels of bile acids, biosynthesized from cholesterol in the liver, and they have been associated with HCC. Herein, we analyzed plasma bile acids using liquid chromatography/tandem mass spectrometry and integrated them with conventional biomarkers to develop a diagnostic screening model for HCC. Plasma samples were obtained from patients diagnosed with chronic hepatitis, hepatic cirrhosis (HC), and HCC. A QTRAP 6500 mass spectrometer and a Nexera liquid chromatograph with a YMC-Triart C18 analytical column were used. The mobile phase A was a 20 mmol/L ammonium formate solution, and mobile phase B was a methanol/acetonitrile mixture (1:1, v/v) with 20 mmol/L ammonium formate. After determining the concentrations of 32 bile acids, statistical analysis and diagnostic screening model development were performed. Plasma concentrations of bile acids differed between sample groups, with significant differences observed between patients with HC and HCC. By integrating bile acid results with conventional biochemical tests, a potential diagnostic screening model for HCC was successfully developed. Future studies should increase the sample size and analyze the data in detail to verify the diagnostic efficacy of the model.

Glutathione and viscosity double-locked response fluorescent probe for imaging and surgical navigation of hepatocellular carcinoma

Early diagnosis and precise treatment of hepatocellular carcinoma (HCC) are crucial for human health. Therefore, addressing the potential markers of HCC, glutathione (GSH) and viscosity, we constructed a fluorescent probe (PG-V) activated cascadically by GSH/viscosity. PG-V possessed excellent photophysical properties and biocompatibility, and could specifically illuminate tumor tissue, achieving fluorescence imaging of HCC, and imaging-guided tumor resection.

Clinical impact of MRI on indeterminate findings on contrast-enhanced CT suspicious of HCC

OBJECTIVES

In patients evaluated for hepatocellular carcinoma (HCC), magnetic resonance imaging (MRI) is often used secondarily when multiphase contrast-enhanced computed tomography (ceCT) is inconclusive. We investigated the clinical impact of adding MRI.

MATERIALS AND METHODS

This single-institution retrospective study included 48 MRI scans (44 patients) conducted from May 2016 to July 2023 due to suspicion of HCC on a multiphase ceCT scan. Data included medical history, preceding and subsequent imaging, histology when available, and decisions made at multidisciplinary team meetings.

RESULTS

In case of possible HCC recurrence, 63% of the MRI scans were diagnostic of HCC. For 80% of the negative MRI scans, the patients were diagnosed with HCC within a median of 165 days in the suspicious area of the liver. In case of possible de-novo HCC in patients with cirrhosis, 22% of the scans were diagnostic of HCC and 33% of the negative MRI scans were of patients diagnosed with HCC within a median of 109 days. None of the non-cirrhotic patients with possible de-novo HCC and negative MRI scans (64%) were later diagnosed with HCC, but 3/5 of the indeterminate scans were of patients diagnosed with HCC in a biopsy.

CONCLUSIONS

Secondary MRI to a multiphase ceCT scan suspicious of HCC is highly valuable in ruling out HCC in non-cirrhotic patients and in diagnosing HCC non-invasively in cirrhotic patients and patients with prior HCC. Patients with cirrhosis or prior HCC are still at high risk of having HCC if MRI results are inconclusive or negative.

New liver window width in detecting hepatocellular carcinoma on dynamic contrast-enhanced computed tomography with deep learning reconstruction

Changing a window width (WW) alters appearance of noise and contrast of CT images. The aim of this study was to investigate the impact of adjusted WW for deep learning reconstruction (DLR) in detecting hepatocellular carcinomas (HCCs) on CT with DLR. This retrospective study included thirty-five patients who underwent abdominal dynamic contrast-enhanced CT. DLR was used to reconstruct arterial, portal, and delayed phase images. The investigation of the optimal WW involved two blinded readers. Then, five other blinded readers independently read the image sets for detection of HCCs and evaluation of image quality with optimal or conventional liver WW. The optimal WW for detection of HCC was 119 (rounded to 120 in the subsequent analyses) Hounsfield unit (HU), which was the average of adjusted WW in the arterial, portal, and delayed phases. The average figures of merit for the readers for the jackknife alternative free-response receiver operating characteristic analysis to detect HCC were 0.809 (reader 1/2/3/4/5, 0.765/0.798/0.892/0.764/0.827) in the optimal WW (120 HU) and 0.765 (reader 1/2/3/4/5, 0.707/0.769/0.838/0.720/0.791) in the conventional WW (150 HU), and statistically significant difference was observed between them (p < 0.001). Image quality in the optimal WW was superior to those in the conventional WW, and significant difference was seen for some readers (p < 0.041). The optimal WW for detection of HCC was narrower than conventional WW on dynamic contrast-enhanced CT with DLR. Compared with the conventional liver WW, optimal liver WW significantly improved detection performance of HCC.

Cost-effectiveness of a precision hepatocellular carcinoma surveillance strategy in patients with cirrhosis

Background

Hepatocellular carcinoma (HCC) surveillance is currently performed using a one-size-fits-all strategy with ultrasound plus AFP (US + AFP). There is increasing interest in risk-stratified and precision surveillance strategies incorporating individual risk and variance in surveillance test performance; however, the cost-effectiveness of these approaches has not been evaluated.

Methods

We conducted a cost-effectiveness analysis to evaluate four surveillance strategies (no surveillance, universal US + AFP surveillance, risk-stratified surveillance, and precision surveillance) in a simulated cohort of 50-year-old patients with compensated cirrhosis. The most cost-effective strategy was that with the highest incremental cost-effectiveness ratio (ICER) and below the willingness-to-pay (WTP) threshold of $150,000/QALY gained. Model inputs were based on literature review, and costs were derived from the Medicare fee schedule.

Findings

The precision surveillance strategy demonstrated variation in recommended surveillance test based on HCC risk category and patient factors. US + AFP, risk-stratified, and precision surveillance detected more HCC cases per 100,000 population than no surveillance, with a higher proportion of early-stage cases for precision surveillance (67.6%) than risk-stratified (63.8%), universal ultrasound (63.2%), and no surveillance (38.0%). Compared to no surveillance, precision surveillance was most cost-effective, with an ICER of $104,614/QALY gained, whereas US + AFP and risk-stratified surveillance were both dominated. Compared to US + AFP, risk-stratified surveillance was cost saving and dominated US + AFP, whereas precision surveillance was cost-effective, with an ICER of $98,103/QALY gained. Results were sensitive to survival with early-stage HCC, cost of early-stage HCC treatment, and surveillance utilization. Precision surveillance remained the most cost-effective when WTP thresholds exceeded $110,000/QALY gained.

Interpretation

A precision surveillance strategy is the most cost-effective method for HCC surveillance. This approach could maximize surveillance benefits in high-risk patients, while minimizing surveillance harms in low-risk individuals.

Funding

National Cancer Institute (U01 CA230694, R01 CA222900, R01 CA212008, and U24ca086368) and Cancer Prevention Research Institute of Texas (CPRIT) (RP200554).

British Society of Gastroenterology guidelines for the management of hepatocellular carcinoma in adults

Deaths from the majority of cancers are falling globally, but the incidence and mortality from hepatocellular carcinoma (HCC) is increasing in the United Kingdom and in other Western countries. HCC is a highly fatal cancer, often diagnosed late, with an incidence to mortality ratio that approaches 1. Despite there being a number of treatment options, including those associated with good medium to long-term survival, 5-year survival from HCC in the UK remains below 20%. Sex, ethnicity and deprivation are important demographics for the incidence of, and/or survival from, HCC. These clinical practice guidelines will provide evidence-based advice for the assessment and management of patients with HCC. The clinical and scientific data underpinning the recommendations we make are summarised in detail. Much of the content will have broad relevance, but the treatment algorithms are based on therapies that are available in the UK and have regulatory approval for use in the National Health Service.

Dual-tracer PET/CT in the management of hepatocellular carcinoma

Background & Aims

Combined 18F-fluorodeoxyglucose (FDG) and 11C-acetate (dual-tracer) positron-emission tomography/computed tomography (PET/CT) is being increasingly performed for the management of hepatocellular carcinoma (HCC), although its role is not well defined. Therefore, we evaluated its effectiveness in (i) staging, (ii) characterization of indeterminate lesions on conventional imaging, and (iii) detection of HCC in patients with unexplained elevations in serum alpha-fetoprotein (AFP) levels.

Methods

We retrospectively assessed 525 consecutive patients from three tertiary centers between 2014 and 2020. For staging, we recorded new lesion detection rates, changes in the Barcelona Clinic Liver Cancer (BCLC) classification, and treatment allocation due to dual-tracer PET/CT. To characterize indeterminate lesions and unexplained elevation of serum AFP levels, the sensitivity and specificity of dual-tracer PET/CT in diagnosing HCC were evaluated. A multidisciplinary external review and a cost-benefit analysis of patients for metastatic screening were also performed.

Results

Dual-tracer PET/CT identified new lesions in 14.3% of 273 staging patients, resulting in BCLC upstaging in 11.7% and treatment modifications in 7.7%. It upstaged 8.1% of 260 patients undergoing metastatic screening, with estimated savings of US$495 per patient. It had a sensitivity and specificity of 80.7% (95% CI 71.2-88.6%) and 94.8% (95% CI 90.4-98.6%), respectively, for diagnosing HCC in 201 indeterminate lesions. It detected HCC in 45.1% of 51 patients with unexplained elevations in serum AFP concentrations. External review revealed substantial agreement between local and external image interpretation and patient assessment (n = 273, κ = 0.822; 95% CI 0.803-0.864).

Conclusions

Dual-tracer PET/CT provides added value beyond conventional imaging in patients with HCC by improving staging, confirming HCC diagnosis with high accuracy in patients with indeterminate lesions, and detecting HCC in patients with unexplained elevation of serum AFP.

Impact and implications

Compared to CT or MRI, dual-tracer positron-emission tomography/computed tomography (PET/CT) led to upstaging in 12% of patients with hepatocellular carcinoma (HCC) undergoing staging, resulting in treatment modification in 8% of cases and a cost saving of US$495 per patient. It also accurately detected HCC in high-risk cases where CT or MRI were equivocal or normal. Dual-tracer PET/CT provides added value beyond conventional imaging in patients with HCC by improving staging, confirming HCC diagnosis with high accuracy in patients with indeterminate lesions, and detecting HCC in patients with unexplained elevation of serum AFP.

TPA: Two-stage progressive attention segmentation framework for hepatocellular carcinoma on multi-modality MRI

BACKGROUND

Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) plays a crucial role in the diagnosis and measurement of hepatocellular carcinoma (HCC). The multi-modality information contained in the multi-phase images of DCE-MRI is important for improving segmentation. However, this remains a challenging task due to the heterogeneity of HCC, which may cause one HCC lesion to have varied imaging appearance in each phase of DCE-MRI. In particular, some phases exhibit inconsistent sizes and boundaries will result in a lack of correlation between modalities, and it may pose inaccurate segmentation results.

PURPOSE

We aim to design a multi-modality segmentation model that can learn meaningful inter-phase correlation for achieving HCC segmentation.

METHODS

In this study, we propose a two-stage progressive attention segmentation framework (TPA) for HCC based on the transformer and the decision-making process of radiologists. Specifically, the first stage aims to fuse features from multi-phase images to identify HCC and provide localization region. In the second stage, a multi-modality attention transformer module (MAT) is designed to focus on the features that can represent the actual size.

RESULTS

We conduct training, validation, and test in a single-center dataset (386 cases), followed by external test on a batch of multi-center datasets (83 cases). Furthermore, we analyze a subgroup of data with weak inter-phase correlation in the test set. The proposed model achieves Dice coefficient of 0.822 and 0.772 in the internal and external test sets, respectively, and 0.829, 0.791 in the subgroup. The experimental results demonstrate that our model outperforms state-of-the-art models, particularly within subgroup.

CONCLUSIONS

The proposed TPA provides best segmentation results, and utilizing clinical prior knowledge for network design is practical and feasible.

Hepatocellular Carcinoma in Ceará: Epidemiology and Treatment in a Reference Liver Transplant Center in Northeast Brazil

Hepatocellular carcinoma remains a significant worldwide malignancy and an important cause of cancer-related death. The incidence is increasing globally. In Latin America, there is no consistent data on the epidemiology of hepatocellular carcinoma. However, Brazil is considered a country with an intermediate incidence of this liver neoplasm. In the state of Ceará, situated in the northeast region of Brazil, there are no consistent clinical and epidemiologic data on the actual incidence and the treatment of hepatocellular carcinoma. The purpose of this article is to describe epidemiologic characteristics and treatment forms of patients with hepatocellular carcinoma who were treated in a Liver Transplant Center. A retrospective observational study was conducted using the database from the register of 299 patients with hepatocellular carcinoma between June 2004 and February 2022. Only patients born in Ceará were included. Therefore, most patients were eligible, based on the Milan Criteria, to undergo liver transplantation with a Model End Stage Liver Disease score of 12.48 ± 4.66 points, and the waiting list time was approximately 7 months with 8.7% hepatocellular carcinoma recurrence after liver transplant. A total of 38.5 % of cases were outside the Milan criteria at the time of cancer diagnosis, and transarterial chemoembolization was the main treatment choice. In conclusion, the diagnosis of hepatocellular carcinoma in Ceará mainly occurs in male patients with hepatitis C or alcoholism, with a mean age of 61.55 years and a previous diagnosis of liver disease. Liver transplantation was the best curative therapeutic form in patients with cirrhosis and hepatocellular carcinoma in Ceará, where a significant number of patients were diagnosed with intermediate and advanced-stage hepatocellular carcinoma, so public health policies are important for the screening and monitoring of liver disease.

Definitive Role of Contrast-enhanced Endoscopic Ultrasound (EUS) in the Diagnosis of Hepatocellular Carcinoma With Non-diagnostic Cross-sectional Imaging: A Case Report

The diagnosis of hepatocellular carcinoma is usually centered around cross-sectional imaging (CSI) modalities. However, in some instances focal hepatic lesions may be missed on CSI. Endoscopic ultrasound (EUS) has an evolving role in hepatology and have been shown to be useful in diagnosing focal lesions with advantages of tissue acquisition. We report a case hepatitis B-related cirrhosis presenting with acute decompensation, wherein EUS was used to identify HCC and perform tissue acquisition as CSI was non-diagnostic.

Updates on the Diagnostic Use of Ultrasonography Augmented With Perfluorobutane Contrast in Hepatocellular Carcinoma: A Meta-Analysis

To investigate the diagnostic accuracy of contrast-enhanced ultrasound (CEUS) in the diagnosis of primary hepatocellular carcinoma (HCC), a thorough search was conducted for pertinent literature using PubMed, SCOPUS, Web of Science, Science Direct, and Wiley Library. This was a meta-analysis of diagnostic test accuracy. MetaDiSc 1.4 was used for all analyses and assessed statistical heterogeneity with the I2 index and the chi-square test. The random-effects model was applied where there was considerable heterogeneity. Using the eight elements of the Newcastle-Ottawa Scale (NOS) for cohort and case-control studies, we assessed the quality of the included studies. Our results included nine studies with a total of 2598 patients, and 1607 (61.8%) were males. The pooled overall sensitivity of perfluorobutane with CEUS was 85.6% (95% CI 0.832, -0.878, and P=0.000) and specificity was 91.5% (95% CI 0.899, -0.930, and P=0.000) with significant inter heterogeneity between studies (I2=94.3% and 95.7%), respectively. The pooled positive likelihood ratio was 12.42 (4.59 to 33.61, P=0.000). Our analysis revealed a symmetric summary receiver operating characteristic (SROC) curve and seven of the included studies are near the top left corner of the graph, indicating that this test has a high diagnostic value. The results showed that CEUS augmented with perfluorobutane contrast had good diagnostic accuracy (sensitivity and specificity) for primary HCC. Further real-world data studies are needed to confirm the good diagnosis accuracy of perfluorobutane CEUS in primary HCC.

ESR Essentials: diagnosis of hepatocellular carcinoma-practice recommendations by ESGAR

Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide. Current guidelines for the noninvasive diagnosis of HCC are provided by the European Association for the Study of the Liver (EASL), the American Association for the Study of Liver Diseases (AASLD) which endorsed the Liver Imaging Reporting and Data System (LI-RADS) algorithm, the Korean Liver Cancer Association-National Cancer Center (KLCA-NCC), and the Asian-Pacific Association for the Study of the Liver (APASL). These allow the diagnosis of HCC in high-risk patients in the presence of typical imaging features on contrast-enhanced CT, MRI, or contrast-enhanced ultrasound. Size, non-rim arterial phase hyperenhancement, non-peripheral washout, enhancing capsule, and growth are major imaging features and they should be combined for the diagnosis of HCC. This article provides concise and relevant practice recommendations aimed at general radiologist audience, summarizing the best practice and informing on the essential imaging criteria for the diagnosis of HCC, while also discussing the high-risk population criteria, imaging modalities, and imaging features according to the current guidelines. KEY POINTS: • Noninvasive diagnosis of hepatocellular carcinoma (HCC) can be provided only in patients at high risk. • Contrast-enhanced CT or MRI are the first-line imaging exams for the diagnosis of HCC. • Major imaging features should be combined to provide the diagnosis of definitive HCC.

[Multiparametric magnetic resonance imaging for hepatocellular carcinoma, part 1 : Morphology and dynamic perfusion imaging in primary diagnostics and treatment monitoring]

Radiology plays a key role in the diagnosis and monitoring of hepatocellular carcinoma (HCC). Ultrasound, computed tomography (CT) and magnetic resonance imaging (MRI) are used to identify HCC lesions. Multiparametric MRI provides detailed insights into the tumor biology through the analysis of morphology, perfusion and diffusion. In this way preoperative decisions can be optimized. The guidelines recommend using contrast-enhanced MRI or ultrasound for the diagnosis of HCC. The preferred method is MRI due to its superiority in the detection of small lesions The treatment response is evaluated using modified response evaluation criteria for solid tumors (RECIST) and the European Association for the Study of the Liver (EASL) criteria. The use of multiparametric MRI in conjunction with the liver imaging reporting and data system (LI-RADS) plays overall a central role in the precise diagnosis and monitoring of the treatment of HCC.