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Article

Albumin–Bilirubin Grade as a Valuable Predictor of Recurrence and Prognosis in Patients with Hepatocellular Carcinoma Following Radiofrequency Ablation

by
Chang Hun Lee
1,
Ga Ram You
2,
Hoon Gil Jo
3,
Chung Hwan Jun
4,
Eun Young Cho
3,
In Hee Kim
1,
Sung Kyu Choi
4 and
Jae Hyun Yoon
4,*
1
Department of Internal Medicine, Jeonbuk National University Medical School and Research Institute of Clinical Medicine of Jeonbuk National University Hospital-Jeonbuk National University Medical School, Jeonju 54907, Republic of Korea
2
Division of Gastroenterology, Department of Internal Medicine, Chonnam National University Hwasun Hospital, Hwasun 58128, Republic of Korea
3
Department of Internal Medicine, Wonkwang University College of Medicine, Iksan 54538, Republic of Korea
4
Division of Gastroenterology, Department of Internal Medicine, Chonnam National University Medical School, Gwangju 61469, Republic of Korea
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(24), 4167; https://doi.org/10.3390/cancers16244167
Submission received: 21 October 2024 / Revised: 11 December 2024 / Accepted: 11 December 2024 / Published: 13 December 2024

Simple Summary

Hepatocellular carcinoma (HCC) remains a significant clinical challenge, with limited progress in reducing recurrence rates and improving patient survival. Selecting appropriate treatment modalities for HCC requires careful consideration of the risks and benefits associated with each option. In this study, we investigated factors influencing recurrence and prognosis in treatment-naïve patients with HCC undergoing radiofrequency ablation (RFA). Our analysis identified age, Child–Turcotte–Pugh class B, and the albumin–bilirubin (ALBI) grade as independent predictors of tumor recurrence. Additionally, the ALBI grade emerged as the sole significant predictor of overall survival. These findings emphasize the importance of incorporating the ALBI grade into the decision-making process to optimize treatment outcomes for patients with HCC undergoing RFA.

Abstract

Background/Objectives: Radiofrequency ablation (RFA) is an important local treatment for hepatocellular carcinoma (HCC). This study aimed to evaluate the characteristics of tumor recurrence after RFA and analyze predictors of tumor recurrence and survival in patients with HCC. Methods: We retrospectively reviewed data from treatment-naïve patients with HCC who underwent RFA for HCC treatment between 2008 and 2017 at four tertiary hospitals in South Korea. Results: A total of 636 patients with HCC treated with RFA were enrolled in the study. The mean age was 66.3 ± 10.4 years, with 75.0% of patients being male. Most patients (96.7%) had underlying liver cirrhosis, and viral hepatitis (types B and C) accounted for most cases. The average maximum tumor size was 2.2 ± 0.9 cm, with 84.3% of tumors being single lesions. During the follow-up period, 331 patients experienced recurrence, with 95.5% of cases being intrahepatic and one-fifth occurring at the RFA site. Most patients underwent RFA or transarterial chemoembolization as subsequent therapy for recurrence. Multivariate analysis revealed that age, the albumin–bilirubin (ALBI) grade, and Child–Pugh class B status were independent factors associated with tumor recurrence. Only the ALBI grade was significantly associated with mortality. Additionally, the ALBI grade differentiated between recurrence-free survival and overall survival in the Kaplan–Meier survival curve. Conclusions: The ALBI grade was independently associated with tumor recurrence and prognosis in patients with HCC following RFA. This grading system can help clinicians identify high-risk patients, optimize treatment strategies, and enhance patient care.

Graphical Abstract

1. Background

Hepatocellular carcinoma (HCC) is one of the most common and deadly forms of liver cancer worldwide. It ranks as the sixth most common cancer globally and is the third leading cause of cancer-related mortality [1]. HCC predominantly affects middle-aged men, leading to significant economic losses due to its impact on the working-age population [1,2]. Although advancements in the treatment of viral hepatitis B and C have been made, they have not reduced the overall burden of HCC, which is increasingly seen in patients with alcohol-related liver disease and metabolic dysfunction-associated steatotic liver disease [3,4]. Despite various management options and the development of new therapies, the 5-year survival rate remains below 20%, with recurrence rates reaching approximately 70% after curative treatment [5,6,7].
Radiofrequency ablation (RFA) has emerged as a crucial local treatment modality for HCC. It demonstrates comparable efficacy to surgical resection for tumors < 2 cm in size, making it an excellent treatment option for small tumors [8,9,10,11]. Some reports suggest a higher recurrence rate following RFA; however, it is generally acknowledged that there is no significant difference in overall survival between RFA and surgical resection [12,13]. Moreover, RFA offers additional advantages, such as a lower risk of complications, reduced costs, better preservation of normal tissue, and shorter hospital stays [14]. Considering that only 20–25% of patients with HCC are candidates for surgical resection, RFA has become an increasingly valuable treatment option for patients with early-stage tumors [15,16]. As a result, it is strongly recommended in various international guidelines for the treatment of early-stage HCC [14,17,18,19]. The Barcelona Clinic Liver Cancer (BCLC) guidelines recommend RFA for early HCC, particularly in cases of very-early-stage (BCLC stage 0) and early-stage tumors (BCLC stage A) when surgical intervention is not feasible [16].
Despite its effectiveness, tumor recurrence after RFA remains a significant clinical challenge that impacts overall survival and patient prognosis [20,21]. Technical limitations, such as tumors being too deep, located near anatomical boundaries, or having poor sonic visibility, can hinder the success of RFA. Tumors located near major blood vessels, such as the hepatic portal vein or hepatic vein, pose particular difficulties due to the heat sink effect, where blood flow dissipates the heat generated by RFA, reducing its efficacy and potentially leading to higher recurrence rates [22,23]. HCC is known for its high recurrence rate and poor survival outcomes, with a 5-year recurrence rate approaching 70% even after successful initial treatment [24]. Therefore, understanding the factors influencing recurrence and survival is crucial for improving patient management and outcomes.
This study aimed to evaluate the clinical factors associated with tumor recurrence and prognosis in patients undergoing RFA for HCC. By applying recurrence and prognostic factors proposed in previous studies, we aimed to determine which predictors are clinically relevant in a real-world setting. Identifying these predictors will help improve the stratification of at-risk patients, tailor follow-up strategies, and optimize therapeutic interventions to reduce the risk of recurrence and enhance overall survival.

2. Materials and Methods

2.1. Participants

In this cohort study, we reviewed the medical records of patients with HCC treated between January 2008 and December 2017 at four tertiary hospitals: Chonnam National University Hospital, Gwangju; Hwasun Chonnam National University Hospital, Chonnam; Jeonbuk National University Hospital, Jeonju; and Wongwang University Hospital, Iksan, South Korea. Eligible patients were treatment-naïve, aged > 18 years, and had undergone RFA with complete ablation after being diagnosed with HCC within the Milan criteria. Patients were excluded if they received concurrent treatment with transarterial chemoembolization (TACE) or had a follow-up duration of less than 180 days. The participant selection flowchart is shown in Supplementary Figure S1. A total of 636 patients were enrolled in this study, and demographic, laboratory, and clinical parameters were assessed and analyzed.

2.2. HCC Diagnosis and RFA Procedure

HCC was diagnosed based on guidelines by the Korean Liver Cancer Study Group [17,25]. The disease stage was evaluated using both the modified Union for International Cancer Control (mUICC) staging criteria and the BCLC classification system.
Initial tumor size was measured by performing ultrasonography before RFA, and the ablation strategy, power of the generator, and electrode placement were determined by the operator, considering factors such as tumor size, location, and the manufacturer’s recommendations. Ablations were expanded or overlapped to ensure comprehensive tumor coverage, aiming for a safety margin of at least 0.5 cm whenever feasible. Artificial ascites were introduced before RFA to create an insulating layer between the tumor and adjacent vital organs when tumors were located in unfavorable positions. After the lesions were ablated, the ablation path was cauterized to prevent tumor seeding and hemorrhage during the procedure.
A computed tomography (CT) scan was performed immediately after RFA. Complete ablation was defined as the absence of arterial contrast enhancement or portal venous washout within the ablation zone. In cases of incomplete ablation, additional ablation was conducted within 1 or 2 days. Follow-up testing was performed within 1–3 months at the discretion of the researcher.

2.3. Follow-Up and Definition of Recurrence

Patients were followed up for clinical assessments and imaging studies. Recurrence was defined as the development of new tumor tissue observed on follow-up imaging after the tumor was previously considered completely ablated. Local tumor progression was defined as the appearance of tumor foci with arterial enhancement and portal or delayed washout at the edge of the ablation zone on contrast-enhanced imaging. Intrahepatic recurrence refers to the regrowth of a previously treated non-target tumor or the emergence of a new tumor within the liver, excluding local progression. Extrahepatic metastasis is defined as the presence of new HCC that appears outside the liver.

2.4. Statistical Analysis

Data are expressed as means ± standard deviations and frequencies (percentages) for continuous and categorical variables, respectively. Group comparisons of continuous variables were conducted using the t-test, whereas categorical variables were compared using the chi-square or Fisher’s exact test when appropriate. Recurrence and overall mortality were analyzed using univariate and multivariate Cox proportional hazard models. Cumulative recurrence-free and overall survival rates were estimated using the Kaplan–Meier method and compared using the log-rank test. Statistical analyses were performed using IBM SPSS Statistics software (version 23.0.0.0; IBM Corporation, Armonk, NY, USA). All significance tests were two-sided, with p-values < 0.05 considered statistically significant.

3. Results

3.1. Demographic and Baseline Clinical Characteristics of the Study Population

The baseline characteristics of the enrolled patients are shown in Table 1. The mean age of the patients was 66.3 years, with three-quarters of them being male.
Hepatitis B infection was the most common etiology of chronic liver disease, affecting nearly 60% of the population. Most patients (96.7%) had cirrhotic livers, with 8.2% classified as decompensated (Child–Turcotte–Pugh [CTP] grade B). Regarding HCC staging, the majority of patients were in the early stages of HCC (mUICC stage I or II: 95.6%; BCLC stage 0 or A: 98.1%). The mean tumor size was 2.2 cm, and 84.3% of the tumor lesions were single.
When divided into two groups based on recurrence, the recurrence group included older patients and those with differences in blood test results, including platelet count, aspartate aminotransferase, alanine aminotransferase, total bilirubin, and albumin levels. In the recurrence group, a higher proportion of patients had CTP grade B, and albumin–bilirubin (ALBI) grades II or III were more prevalent than ALBI grade I. The baseline characteristics according to the ALBI grade are described in Supplementary Table S1. There were no statistically significant differences between the two groups regarding BCLC and mUICC stages at the index date. However, the maximum tumor size and the sum of tumor sizes were larger in the recurrence group.

3.2. Features Related to RFA Procedures

The clinical characteristics of the RFA procedures are shown in Supplementary Table S2. The tumors were predominantly located in the right lobe, accounting for three-quarters of all cases, and the mean ablation time was 12.8 min. RF needle puncture was performed in a single attempt in 91.5% of patients. RFA-related complications occurred in 78 patients (12.3%), with fever and pleural effusion being the most common, occurring together in seven patients (1.1%). Other complications included hematoma, abscess formation, and cholecystitis. Artificial ascites were created in 34.8% of the procedures to facilitate treatment. Overall, 626 patients (98.4%) underwent complete RFA in a single session, whereas the remaining 10 required repeated ablation to achieve complete ablation. When divided into two groups based on recurrence, the mean ablation time was longer in the recurrence group, and the use of artificial ascites was less frequent.

3.3. Clinical Characteristics of Patients with Tumor Recurrence After RFA

The overall and recurrence-free survival rates of the study population are shown in Supplementary Figure S2. Among all patients, 333 (52.3%) experienced HCC recurrence during the follow-up period (Table 2). The alpha-fetoprotein (AFP) level increased from an initial 96.0 IU/mL to 557.7 IU/mL at the time of recurrence. Intrahepatic metastasis accounted for 95.5% of all recurrence cases, with rates of tumor recurrence at the hepatic lobe and RFA site occurring in 141 (42.3%) and 67 (20.1%) patients, respectively. The mUICC stage at recurrence was predominantly stage I or II, accounting for 82% of all cases. More than half of the patients underwent RFA or TACE as rescue therapy. The mean recurrence-free survival was approximately 33 months, and the median time to recurrence was 42.9 months.

3.4. Factors Associated with the First Recurrence After RFA

We used a Cox proportional hazards model to analyze independent factors associated with the first recurrence after RFA in patients with HCC, and the results are shown in Table 3. In the univariate analysis, factors associated with recurrence included age, maximum tumor size > 2 cm, non-single tumors, BCLC stage, mUICC stage, ALBI grade, and CTP grade B. In the multivariate analysis, age, ALBI grade, and CTP grade B emerged as independent factors associated with the first recurrence after RFA. The Kaplan–Meier survival analysis, using the log-rank test for recurrence-free survival, indicated that ALBI grades showed statistically significant differences in recurrence after RFA (Figure 1A). We performed a Kaplan–Meier survival analysis based on the ALBI grade according to the type of recurrence. While there was no significant difference in local progression-free survival across ALBI grades, significant differences were observed in intrahepatic and extrahepatic recurrence-free survival (Supplementary Figure S3).

3.5. Factors Associated with Mortality After RFA

During the follow-up period, 50 patients (7.8%) died. We analyzed independent factors associated with mortality after RFA in patients with HCC using the Cox proportional hazards model (Table 4). In the univariate analysis, factors such as maximum tumor size > 2 cm, BCLC stage, ALBI grade, and CTP grade B were associated with poor outcomes. In the multivariate analysis, the ALBI grade emerged as the only independent factor associated with mortality after RFA in patients with HCC. The ALBI grade demonstrated a statistically significant difference in mortality after RFA, as shown by Kaplan–Meier survival analysis using the log-rank test (Figure 1B).

4. Discussion

HCC remains a significant clinical challenge, with limited progress in reducing recurrence rates and improving patient survival. Selecting appropriate treatment modalities for HCC requires careful consideration of the risks and benefits associated with each option. In this study, we investigated factors influencing recurrence and prognosis in treatment-naïve patients with HCC undergoing RFA. Our analysis identified age, CTP class B, and the ALBI grade as independent predictors of tumor recurrence. Furthermore, the ALBI grade emerged as the sole significant predictor of overall survival, highlighting its critical role in patient prognosis. These findings emphasize the importance of incorporating the ALBI grade into the decision-making process to optimize treatment outcomes for patients with HCC undergoing RFA.
Over the past three decades, RFA procedures have advanced significantly, particularly due to the development of imaging technologies that enable precise targeting and real-time monitoring of ablation procedures [22]. In addition to these imaging improvements, the introduction of novel ablation devices has enhanced efficacy. A key advancement is the no-touch multi-bipolar RFA technique, which mitigates the risk of tumor seeding by using multiple electrodes positioned around the tumor, offering better control over the ablation zone [26]. Moreover, innovations such as artificial ascites and pleural effusion have improved the safety and effectiveness of ablation in challenging anatomical locations and reduced complications related to adjacent structures. Combining RFA with other treatment modalities for HCC offers synergistic effects that enhance both local tumor control and systemic therapeutic outcomes. Despite these technological and procedural advancements, tumor recurrence remains a significant challenge, necessitating continuous research to optimize RFA techniques for improved long-term survival outcomes and reduced recurrence rates.
Many studies have emphasized that advanced tumor stage and poor liver function are significant predictors of tumor recurrence and survival in patients with HCC treated with RFA [27,28]. Recurrence patterns have been analyzed based on local versus distant recurrence and duration to distinguish between early and late recurrences. Tumor size consistently emerges as a critical factor in predicting recurrence; tumors larger than 3 cm, particularly those located near intrahepatic blood vessels or in subcapsular regions, have a higher risk of incomplete ablation and subsequent recurrence [29,30,31]. The number of tumors is also a significant factor, associated not only with early recurrence but also with late recurrence [32,33,34,35,36]. Additionally, periportal HCC carries a higher risk of recurrence due to its proximity to major vascular structures, complicating complete ablation [37]. Impaired liver function, as measured using the Child–Pugh score, is crucial for recurrence outcomes. Patients with compromised liver function face an increased risk of recurrence due to impaired hepatic recovery following RFA and are more susceptible to hepatic decompensation, which can significantly reduce overall survival. Several studies have highlighted the impact of cirrhosis, the Child–Pugh class, albumin levels, and prolonged prothrombin time on recurrence rates [29,32,34,36]. In addition, factors such as age, male sex, high levels of AFP and gamma-glutamyl transferase, and an elevated neutrophil-to-lymphocyte ratio (NLR) have been identified as predictors of recurrence following RFA for HCC [33,38,39].
Several factors identified in previous studies were also associated with HCC recurrence in our study. Increasing age was significantly correlated with a higher risk of recurrence, aligning with the established understanding that older age is a predictor of poor outcomes in many malignancies. Furthermore, liver function, assessed using the Child–Pugh score, plays a critical role in determining both tumor recurrence and patient survival. Our findings revealed that patients with Child–Pugh class B disease had significantly higher recurrence rates than those with Child–Pugh class A, emphasizing the detrimental impact of impaired liver function on post-RFA outcomes. In analyzing other previously reported factors related to recurrence and prognosis—such as tumor size, tumor number, AFP levels, and the NLR—none demonstrated statistical significance in the multivariate analysis. The lack of statistical significance for these risk factors may be due to the limited number of patients with high-risk characteristics in our cohort, potentially reducing statistical power. This highlights the importance of recognizing these risk factors when selecting treatment modalities, as certain cases may have been underrepresented in our analysis, affecting our ability to detect meaningful differences.
In our study, the ALBI grade was the only significant factor related to both recurrence and prognosis. The ALBI score is calculated using the following formula: ALBI = (log10 bilirubin [μmol/L] × 0.66) + (albumin [g/L] × −0.085). Based on this score, patients are classified into three grades: ALBI grade I (≤ −2.60), ALBI grade II (> −2.60 to ≤ −1.), and ALBI grade III (> −1.39) [40]. This novel scoring system evaluates liver function based solely on serum albumin and bilirubin levels, demonstrating prognostic value across various liver diseases, irrespective of etiology [41,42]. Compared to the CTP score, the ALBI grade has the advantage of simplicity, as it excludes subjective factors and relies exclusively on two objective indicators. This simplicity makes it a straightforward and reproducible tool for assessing liver function [43]. In the context of HCC, the ALBI grade is a valuable predictor of prognosis and has shown promise across various treatment modalities, including RFA, thereby optimizing treatment outcomes [44,45,46,47,48,49]. Additionally, the ALBI grade has been introduced as a prognostic indicator in other conditions, including chronic heart failure and brain tumors [42].
As various advanced treatment modalities for HCC continue to evolve, a detailed assessment of liver function has become increasingly important. The ALBI grade serves as a reliable indicator of liver function in patients with HCC and aids in prognostic prediction [50,51]. Numerous studies have validated the ALBI grade as a significant factor in predicting recurrence and prognosis across a range of HCC treatment modalities, including surgery, RFA, TACE, systemic chemotherapy, and combination therapies [44,48,49,52,53,54,55]. Furthermore, the ALBI grade plays a crucial role in guiding treatment decisions, with its impact evident even within established prognostic frameworks such as the BCLC and CTP scores [56]. Modified equations, such as modified ALBI, ALBI–triglyceride, and easy ALBI, have also been developed [57], and combinations with other factors, such as the age–male–ALBI–platelet score, the aMAP score, have been used to predict recurrence and prognosis more effectively [52,58,59].
In this study, we confirmed that the ALBI grade is an independent predictor of recurrence and survival in patients with HCC undergoing RFA. Notably, the ALBI grade emerged as the only significant predictor of overall survival, aligning with the results of previous studies and emphasizing its importance. The ability of the ALBI grade to more accurately reflect liver function compared to traditional assessment tools makes it a critical factor in developing treatment strategies for patients with HCC. When analyzed by ALBI grade, we observed significant differences in overall recurrence-free survival. While local tumor progression rates showed no significant differences, intrahepatic recurrence was more frequent in ALBI grades II and III, and extrahepatic metastasis was predominantly observed in ALBI grade III. These findings highlight the need for enhanced monitoring strategies, including careful surveillance for intrahepatic recurrence beyond the RFA-treated site in patients with ALBI grade II or III. Short-term imaging follow-up may be particularly beneficial for these patients. For ALBI grade III patients, who are prone to frequent recurrence and have poor prognoses, alternative modalities, such as liver transplantation, could be considered in selected cases. These findings suggest that incorporating the ALBI grade into clinical practice can enhance the risk stratification of patients with HCC, facilitating personalized treatment plans and improving overall outcomes.
This study demonstrates the utility of the ALBI grade in predicting recurrence and prognosis in HCC patients undergoing RFA, emphasizing its practical application and predictive power in real-world settings. While the retrospective design imposes certain limitations, the study benefits from the inclusion of data from four tertiary hospitals in South Korea, which ensures a diverse patient population and enhances the generalizability of the findings. Additionally, the long-term follow-up period enabled a thorough assessment of the ALBI grade’s prognostic value. By stratifying patients based on the ALBI grade, this study offers a detailed analysis of the associations between recurrence patterns and ALBI grades, providing valuable insights into their clinical implications.
This study has several limitations, primarily due to its retrospective design. Retrospective studies are inherently susceptible to selection bias and have limited control over confounding variables. The data were collected from medical records, which may contain inconsistencies or incomplete information, potentially affecting the accuracy of the results. Furthermore, due to the diagnostic characteristics of HCC, it was not possible to analyze recurrence and prognosis based on the histologic subtype or histological grade, nor their association with the ALBI grade. The small number of patients with ALBI grade III in our study may limit the precision of our findings. Future studies with larger cohorts are needed to validate the prognostic value of the ALBI grade. Additionally, since the study was conducted across multiple tertiary hospitals in South Korea, variations in RFA techniques and the skill levels of practitioners could have influenced the outcomes. Consequently, these findings may not be generalizable to other populations or healthcare settings. To address these limitations, future research should consider prospective study designs that allow for more rigorous control of confounding variables and consistent data collection. Multicenter studies involving diverse populations from different geographical regions could help validate our findings and enhance their generalizability. Furthermore, randomized controlled trials should be conducted to establish stronger causal relationships between the identified predictors and patient outcomes. By addressing these limitations, future research could provide more robust and comprehensive insights into the factors influencing recurrence and prognosis in patients with HCC undergoing RFA.

5. Conclusions

This study demonstrates that the ALBI grade is independently associated with tumor recurrence and prognosis in patients with HCC following RFA. These findings underscore the importance of incorporating the ALBI grade into clinical practice for improved prognostic assessment and tailored management of patients post-RFA. By utilizing the ALBI grade, clinicians can more accurately identify patients at higher risk of recurrence and poor outcomes, thereby optimizing treatment strategies and improving patient care.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cancers16244167/s1, Figure S1: Participant Selection Flow Chart; Figure S2: (A) Overall survival rates and (B) recurrence-free survival rates among the overall population.; Figure S3: (A) Local progression-free survival rates, (B) intrahepatic recurrence-free survival rates, and (C) extrahepatic recurrence-free survival rates according to the ALBI grade.; Table S1: Baseline characteristics of enrolled patients according to the ALBI grade.; Table S2: Clinical information related to the RFA procedure.

Author Contributions

The study’s conception and design were contributed to by J.H.Y. and C.H.L. The acquisition, analysis, or interpretation of data was performed by C.H.L., J.H.Y., G.R.Y. and H.G.J. The first draft of the manuscript was written by C.H.L. and J.H.Y. The draft revision was performed by C.H.J., E.Y.C., I.H.K. and S.K.C. All authors have read and agreed to the published version of the manuscript.

Funding

This paper was supported by research funds for newly appointed professors of Jeonbuk National University in 2023 (2301001806) and by the Fund of the Biomedical Research Institute at Jeonbuk National University Hospital (CUH2021-0022).

Institutional Review Board Statement

The study protocol was conducted in accordance with the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the institutional review boards of Jeonbuk National University Hospital (CUH 2020-02-005), Wonkwang University Hospital (WK 2020-05-046), and Chonnam National University Hospital (CNUH-2019-203). The requirement for written informed consent was waived due to the retrospective nature of the study.

Informed Consent Statement

Not applicable.

Data Availability Statement

Non-identifiable data will be made available upon reasonable request.

Conflicts of Interest

The authors declare no competing interests.

Abbreviations

RFARadiofrequency ablation
HCChepatocellular carcinoma
ALBI albumin–bilirubin
BCLCBarcelona Clinic Liver Cancer
TACEtransarterial chemoembolization
AFPalpha-fetoprotein
mUICCmodified Union for International Cancer Control
CTcomputed tomography
CTPChild–Turcotte–Pugh
NLRneutrophil-to-lymphocyte ratio

References

  1. Bray, F.; Laversanne, M.; Sung, H.; Ferlay, J.; Siegel, R.L.; Soerjomataram, I.; Jemal, A. Global Cancer Statistics 2022: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2024, 74, 229–263. [Google Scholar] [CrossRef]
  2. Chon, Y.E.; Park, S.Y.; Hong, H.P.; Son, D.; Lee, J.; Yoon, E.; Kim, S.S.; Ahn, S.B.; Jeong, S.W.; Jun, D.W. Hepatocellular Carcinoma Incidence Is Decreasing in Korea but Increasing in the Very Elderly. Clin. Mol. Hepatol. 2022, 29, 120–134. [Google Scholar] [CrossRef]
  3. Estes, C.; Razavi, H.; Loomba, R.; Younossi, Z.; Sanyal, A.J. Modeling the Epidemic of Nonalcoholic Fatty Liver Disease Demonstrates an Exponential Increase in Burden of Disease. Hepatology 2018, 67, 123–133. [Google Scholar] [CrossRef] [PubMed]
  4. Estes, C.; Anstee, Q.M.; Arias-Loste, M.T.; Bantel, H.; Bellentani, S.; Caballeria, J.; Colombo, M.; Craxi, A.; Crespo, J.; Day, C.P.; et al. Modeling NAFLD Disease Burden in China, France, Germany, Italy, Japan, Spain, United Kingdom, and United States for the Period 2016–2030. J. Hepatol. 2018, 69, 896–904. [Google Scholar] [CrossRef]
  5. Villanueva, A. Hepatocellular Carcinoma. N. Engl. J. Med. 2019, 380, 1450–1462. [Google Scholar] [CrossRef]
  6. Tsilimigras, D.I.; Bagante, F.; Moris, D.; Hyer, J.M.; Sahara, K.; Paredes, A.Z.; Mehta, R.; Ratti, F.; Marques, H.P.; Soubrane, O.; et al. Recurrence Patterns and Outcomes After Resection of Hepatocellular Carcinoma within and beyond the Barcelona Clinic Liver Cancer Criteria. Ann. Surg. Oncol. 2020, 27, 2321–2331. [Google Scholar] [CrossRef] [PubMed]
  7. Jemal, A.; Ward, E.M.; Johnson, C.J.; Cronin, K.A.; Ma, J.; Ryerson, A.B.; Mariotto, A.; Lake, A.J.; Wilson, R.; Sherman, R.L.; et al. Annual Report to the Nation on the Status of Cancer, 1975–2014, Featuring Survival. J. Natl. Cancer Inst. 2017, 109, djx030. [Google Scholar] [CrossRef]
  8. Ohama, H.; Hiraoka, A.; Tada, F.; Kato, K.; Fukunishi, Y.; Yanagihara, E.; Kato, M.; Saneto, H.; Izumoto, H.; Ueki, H.; et al. Comparison of Surgical Resection and Percutaneous Ultrasonographic Guided Radiofrequency Ablation for Initial Recurrence of Hepatocellular Carcinoma in Early Stage Following Curative Treatment. Cancers 2022, 14, 5524. [Google Scholar] [CrossRef]
  9. Lee, H.W.; Lee, J.M.; Yoon, J.-H.; Kim, Y.J.; Park, J.-W.; Park, S.-J.; Kim, S.H.; Yi, N.-J.; Suh, K.-S. A Prospective Randomized Study Comparing Radiofrequency Ablation and Hepatic Resection for Hepatocellular Carcinoma. Ann. Surg. Treat. Res. 2018, 94, 74–82. [Google Scholar] [CrossRef]
  10. Livraghi, T.; Meloni, F.; Di Stasi, M.; Rolle, E.; Solbiati, L.; Tinelli, C.; Rossi, S. Sustained Complete Response and Complications Rates After Radiofrequency Ablation of Very Early Hepatocellular Carcinoma in Cirrhosis: Is Resection Still the Treatment of Choice? Hepatology 2008, 47, 82–89. [Google Scholar] [CrossRef] [PubMed]
  11. Ng, K.K.C.; Chok, K.S.H.; Chan, A.C.Y.; Cheung, T.T.; Wong, T.C.L.; Fung, J.Y.Y.; Yuen, J.; Poon, R.T.P.; Fan, S.T.; Lo, C.M. Randomized Clinical Trial of Hepatic Resection versus Radiofrequency Ablation for Early-Stage Hepatocellular Carcinoma. Br. J. Surg. 2017, 104, 1775–1784. [Google Scholar] [CrossRef] [PubMed]
  12. Chen, X.; Chen, Y.; Li, Q.; Ma, D.; Shen, B.; Peng, C. Radiofrequency Ablation versus Surgical Resection for Intrahepatic Hepatocellular Carcinoma Recurrence: A Meta-Analysis. J. Surg. Res. 2015, 195, 166–174. [Google Scholar] [CrossRef] [PubMed]
  13. Kim, T.H.; Chang, J.M.; Um, S.H.; Jee, H.; Lee, Y.R.; Lee, H.A.; Yim, S.Y.; Han, N.Y.; Lee, J.M.; Choi, H.S.; et al. Comparison of 2 Curative Treatment Options for Very Early Hepatocellular Carcinoma Efficacy, Recurrence Pattern, and Retreatment. Medicine 2019, 98, e16279. [Google Scholar] [CrossRef] [PubMed]
  14. Chu, K.F.; Dupuy, D.E. Thermal Ablation of Tumours: Biological Mechanisms and Advances in Therapy. Nat. Rev. Cancer 2014, 14, 199–208. [Google Scholar] [CrossRef]
  15. Wee, I.J.Y.; Moe, F.N.N.; Sultana, R.; Ang, R.W.T.; Quek, P.P.S.; Goh, B.K.P.; Chan, C.Y.; Cheow, P.C.; Chung, A.Y.F.; Jeyaraj, P.R.; et al. Extending Surgical Resection for Hepatocellular Carcinoma Beyond Barcelona Clinic for Liver Cancer (BCLC) Stage A: A Novel Application of the Modified BCLC Staging System. J. Hepatocell. Carcinoma 2022, 9, 839–851. [Google Scholar] [CrossRef] [PubMed]
  16. Reig, M.; Forner, A.; Rimola, J.; Ferrer-Fàbrega, J.; Burrel, M.; Garcia-Criado, Á.; Kelley, R.K.; Galle, P.R.; Mazzaferro, V.; Salem, R.; et al. BCLC Strategy for Prognosis Prediction and Treatment Recommendation: The 2022 Update. J. Hepatol. 2022, 76, 681–693. [Google Scholar] [CrossRef]
  17. Korean Liver Cancer Association (KLCA); National Cancer Center (NCC) Korea. 2022 KLCA-NCC Korea Practice Guidelines for the Management of Hepatocellular Carcinoma. Clin. Mol. Hepatol. 2022, 28, 583–705. [Google Scholar] [CrossRef] [PubMed]
  18. Heimbach, J.K.; Kulik, L.M.; Finn, R.S.; Sirlin, C.B.; Abecassis, M.M.; Roberts, L.R.; Zhu, A.X.; Murad, M.H.; Marrero, J.A. AASLD Guidelines for the Treatment of Hepatocellular Carcinoma. Hepatology 2018, 67, 358–380. [Google Scholar] [CrossRef]
  19. European Association. For The Study of The Liver EASL Clinical Practice Guidelines: Management of Hepatocellular Carcinoma. J. Hepatol. 2018, 69, 182–236. [Google Scholar] [CrossRef] [PubMed]
  20. Feng, K.; Yan, J.; Li, X.; Xia, F.; Ma, K.; Wang, S.; Bie, P.; Dong, J. A Randomized Controlled Trial of Radiofrequency Ablation and Surgical Resection in the Treatment of Small Hepatocellular Carcinoma. J. Hepatol. 2012, 57, 794–802. [Google Scholar] [CrossRef]
  21. Huang, J.; Yan, L.; Cheng, Z.; Wu, H.; Du, L.; Wang, J.; Xu, Y.; Zeng, Y. A Randomized Trial Comparing Radiofrequency Ablation and Surgical Resection for HCC Conforming to the Milan Criteria. Ann. Surg. 2010, 252, 903–912. [Google Scholar] [CrossRef]
  22. Wang, H.; Wu, Z.; Cui, D.; Shi, Y.; Zhai, B. Radiofrequency Ablation of Hepatocellular Carcinoma: Current Status, Challenges, and Prospects. Liver Res. 2023, 7, 108–115. [Google Scholar] [CrossRef]
  23. Han, S.; Lee, M.W.; Lee, Y.J.; Hong, H.P.; Lee, D.H.; Lee, J.M. No-Touch Radiofrequency Ablation for Early Hepatocellular Carcinoma: 2023 Korean Society of Image-Guided Tumor Ablation Guidelines. Korean J. Radiol. 2023, 24, 719–728. [Google Scholar] [CrossRef] [PubMed]
  24. Yeow, M.; Zhao, J.J.; Fong, K.Y.; Wong, J.; Tan, A.Y.H.; Kam, J.H.; Nikfarjam, M.; Goh, B.K.P.; Kabir, T. Radiofrequency Ablation Versus Repeat Hepatectomy for Recurrent Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis. World J. Surg. 2022, 46, 2778–2787. [Google Scholar] [CrossRef]
  25. Korean Liver Cancer Association. National Cancer Center 2018 Korean Liver Cancer Association-National Cancer Center Korea Practice Guidelines for the Management of Hepatocellular Carcinoma. Gut Liver 2019, 13, 227–299. [Google Scholar] [CrossRef]
  26. Hocquelet, A.; Aube, C.; Rode, A.; Cartier, V.; Sutter, O.; Manichon, A.F.; Boursier, J.; N’kontchou, G.; Merle, P.; Blanc, J.-F.; et al. Comparison of No-Touch Multi-Bipolar vs. Monopolar Radiofrequency Ablation for Small HCC. J. Hepatol. 2017, 66, 67–74. [Google Scholar] [CrossRef] [PubMed]
  27. Chen, H.-Y.; Lu, S.-N.; Hung, C.-H.; Wang, J.-H.; Chen, C.-H.; Yen, Y.-H.; Kuo, Y.-H.; Kee, K.-M. Predicting Outcomes for Recurrent Hepatocellular Carcinoma Within Milan Criteria After Complete Radiofrequency Ablation. PLoS ONE 2020, 15, e0242113. [Google Scholar] [CrossRef]
  28. Chen, R.; Hou, B.; Zhou, Y.; Zhang, T.; Wang, Z.; Chen, X.; Zhang, Y.; Chen, M. Recurrence After Percutaneous Radiofrequency Ablation of Hepatocellular Carcinoma: Analysis of the Pattern and Risk Factors. Front. Oncol. 2023, 13, 1018715. [Google Scholar] [CrossRef]
  29. Yang, B.; Zou, J.; Xia, J.; Ren, Z.; Gan, Y.; Wang, Y.; Zhang, B.; Ge, N.; Wang, D.; Chen, Y.; et al. Risk Factors for Recurrence of Small Hepatocellular Carcinoma After Long-Term Follow-up of Percutaneous Radiofrequency Ablation. Eur. J. Radiol. 2011, 79, 196–200. [Google Scholar] [CrossRef] [PubMed]
  30. Lam, V.W.-T.; Ng, K.K.-C.; Chok, K.S.-H.; Cheung, T.-T.; Yuen, J.; Tung, H.; Tso, W.-K.; Fan, S.-T.; Poon, R.T.P. Risk Factors and Prognostic Factors of Local Recurrence After Radiofrequency Ablation of Hepatocellular Carcinoma. J. Am. Coll. Surg. 2008, 207, 20–29. [Google Scholar] [CrossRef]
  31. Hori, T.; Nagata, K.; Hasuike, S.; Onaga, M.; Motoda, M.; Moriuchi, A.; Iwakiri, H.; Uto, H.; Kato, J.; Ido, A.; et al. Risk Factors for the Local Recurrence of Hepatocellular Carcinoma After a Single Session of Percutaneous Radiofrequency Ablation. J. Gastroenterol. 2003, 38, 977–981. [Google Scholar] [CrossRef] [PubMed]
  32. Late Recurrence of Hepatocellular Carcinoma After Radiofrequency Ablation: A Multicenter Study of Risk Factors, Patterns, and Survival | European Radiology. Available online: https://link.springer.com/article/10.1007/s00330-020-07460-x (accessed on 12 September 2024).
  33. Ni, Z.; Wu, B.; Li, M.; Han, X.; Hao, X.; Zhang, Y.; Cheng, W.; Guo, C. Prediction Model and Nomogram of Early Recurrence of Hepatocellular Carcinoma After Radiofrequency Ablation Based on Logistic Regression Analysis. Ultrasound Med. Biol. 2022, 48, 1733–1744. [Google Scholar] [CrossRef] [PubMed]
  34. Wang, B.; Wu, H.; Wang, S.; Zhang, Z.; Wu, W.; Yan, K.; Yang, W. A Novel Nomogram for Prediction of Intrahepatic Recurrence-Free Survival in Patients with HCC Followed by Radiofrequency Ablation. Br. J. Radiol. 2024, 97, 844–849. [Google Scholar] [CrossRef]
  35. Izumi, N.; Asahina, Y.; Noguchi, O.; Uchihara, M.; Kanazawa, N.; Itakura, J.; Himeno, Y.; Miyake, S.; Sakai, T.; Enomoto, N. Risk Factors for Distant Recurrence of Hepatocellular Carcinoma in the Liver After Complete Coagulation by Microwave or Radiofrequency Ablation. Cancer 2001, 91, 949–956. [Google Scholar] [CrossRef]
  36. Yang, Y.; Xin, Y.; Ye, F.; Liu, N.; Zhang, X.; Wang, Y.; Li, X.; Fan, Q.; Zhou, X.; Chen, Y. Early Recurrence After Radiofrequency Ablation for Hepatocellular Carcinoma: A Multicenter Retrospective Study on Definition, Patterns and Risk Factors. Int. J. Hyperth. 2021, 38, 437–446. [Google Scholar] [CrossRef]
  37. Cao, S.; Lyu, T.; Fan, Z.; Guan, H.; Song, L.; Tong, X.; Wang, J.; Zou, Y. Long-Term Outcome of Percutaneous Radiofrequency Ablation for Periportal Hepatocellular Carcinoma: Tumor Recurrence or Progression, Survival and Clinical Significance. Cancer Imaging 2022, 22, 2. [Google Scholar] [CrossRef] [PubMed]
  38. Tajiri, K.; Baba, H.; Kawai, K.; Minemura, M.; Yasumura, S.; Takahara, T.; Sugiyama, T. Neutrophil-to-Lymphocyte Ratio Predicts Recurrence After Radiofrequency Ablation in Hepatitis B Virus Infection. J. Gastroenterol. Hepatol. 2016, 31, 1291–1299. [Google Scholar] [CrossRef] [PubMed]
  39. Ni, Z.; Wu, B.; Liu, Z.; Wang, Q.; Han, X.; Cheng, W.; Guo, C. Clinical Value of Combined Preoperative- Postoperative Neutrophil- to- Lymphocyte Ratio in Predicting Hepatocellular Carcinoma Prognosis After Radiofrequency Ablation. Br. J. Radiol. 2023, 96, 20220887. [Google Scholar] [CrossRef]
  40. Johnson, P.J.; Berhane, S.; Kagebayashi, C.; Satomura, S.; Teng, M.; Reeves, H.L.; O’Beirne, J.; Fox, R.; Skowronska, A.; Palmer, D.; et al. Assessment of Liver Function in Patients With Hepatocellular Carcinoma: A New Evidence-Based Approach—The ALBI Grade. J. Clin. Oncol. 2015, 33, 550–558. [Google Scholar] [CrossRef] [PubMed]
  41. Liao, J.-I.; Ho, S.-Y.; Liu, P.-H.; Hsu, C.-Y.; Huang, Y.-H.; Su, C.-W.; Hou, M.-C.; Huo, T.-I. Prognostic Prediction for Patients with Hepatocellular Carcinoma and Ascites: Role of Albumin-Bilirubin (ALBI) Grade and Easy (EZ)-ALBI Grade. Cancers 2023, 15, 753. [Google Scholar] [CrossRef]
  42. Toyoda, H.; Johnson, P.J. The ALBI Score: From Liver Function in Patients with HCC to a General Measure of Liver Function. JHEP Rep. 2022, 4, 100557. [Google Scholar] [CrossRef] [PubMed]
  43. Na, S.K.; Yim, S.Y.; Suh, S.J.; Jung, Y.K.; Kim, J.H.; Seo, Y.S.; Yim, H.J.; Yeon, J.E.; Byun, K.S.; Um, S.H. ALBI versus Child-Pugh Grading Systems for Liver Function in Patients with Hepatocellular Carcinoma. J. Surg. Oncol. 2018, 117, 912–921. [Google Scholar] [CrossRef] [PubMed]
  44. Tsai, Y.-C.; Sou, F.-M.; Liu, Y.-W.; Wu, Y.-J.; Yong, C.-C.; Chen, D.-W.; Huang, P.-Y.; Cho, W.-R.; Chuang, C.-H.; Hsiao, C.-C.; et al. Preoperative ALBI Grade Predicts the Outcomes in Non-B Non-C HCC Patients Undergoing Primary Curative Resection. BMC Gastroenterol. 2021, 21, 386. [Google Scholar] [CrossRef]
  45. Demirtas, C.O.; D’Alessio, A.; Rimassa, L.; Sharma, R.; Pinato, D.J. ALBI Grade: Evidence for an Improved Model for Liver Functional Estimation in Patients with Hepatocellular Carcinoma. JHEP Rep. 2021, 3, 100347. [Google Scholar] [CrossRef] [PubMed]
  46. Ho, S.-Y.; Hsu, C.-Y.; Liu, P.-H.; Hsia, C.-Y.; Su, C.-W.; Huang, Y.-H.; Hou, M.-C.; Huo, T.-I. Albumin-Bilirubin (ALBI) Grade-Based Nomogram to Predict Tumor Recurrence in Patients with Hepatocellular Carcinoma. Eur. J. Surg. Oncol. 2019, 45, 776–781. [Google Scholar] [CrossRef] [PubMed]
  47. Cho, W.-R.; Hung, C.-H.; Chen, C.-H.; Lin, C.-C.; Wang, C.-C.; Liu, Y.-W.; Wu, Y.-J.; Yong, C.-C.; Chen, K.-D.; Tsai, Y.-C.; et al. Ability of the Post-Operative ALBI Grade to Predict the Outcomes of Hepatocellular Carcinoma After Curative Surgery. Sci. Rep. 2020, 10, 7290. [Google Scholar] [CrossRef]
  48. Xiong, Y.; Qiao, W.; Mei, T.; Li, K.; Jin, R.; Zhang, Y. Recurrence of Hepatocellular Carcinoma in Patients with Low Albumin-Bilirubin Grade in TACE Combined with Ablation: A Random Forest Cox Predictive Model. J. Hepatocell. Carcinoma 2024, 11, 1375–1388. [Google Scholar] [CrossRef] [PubMed]
  49. Pan, J.; Chen, S.; Tian, G.; Jiang, T. Preoperative Albumin-Bilirubin Grade With Prognostic Nutritional Index Predicts the Outcome of Patients with Early-Stage Hepatocellular Carcinoma After Percutaneous Radiofrequency Ablation. Front. Med. 2020, 7, 584871. [Google Scholar] [CrossRef]
  50. Hiraoka, A.; Kumada, T.; Michitaka, K.; Kudo, M. Newly Proposed ALBI Grade and ALBI-T Score as Tools for Assessment of Hepatic Function and Prognosis in Hepatocellular Carcinoma Patients. Liver Cancer 2019, 8, 312–325. [Google Scholar] [CrossRef]
  51. Hiraoka, A.; Kumada, T. Clinical Role of Newly Developed ALBI and mALBI Grades for Treatment of Hepatocellular Carcinoma. Appl. Sci. 2020, 10, 7178. [Google Scholar] [CrossRef]
  52. Chen, P.-C.; Chiu, N.-C.; Su, C.-W.; Huang, Y.-H.; Hou, M.-C.; Lin, H.-C.; Wu, J.-C. Albumin-Bilirubin Grade May Determine the Outcomes of Patients with Very Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation Therapy. J. Chin. Med. Assoc. 2019, 82, 2. [Google Scholar] [CrossRef]
  53. Ueshima, K.; Nishida, N.; Hagiwara, S.; Aoki, T.; Minami, T.; Chishina, H.; Takita, M.; Minami, Y.; Ida, H.; Takenaka, M.; et al. Impact of Baseline ALBI Grade on the Outcomes of Hepatocellular Carcinoma Patients Treated with Lenvatinib: A Multicenter Study. Cancers 2019, 11, 952. [Google Scholar] [CrossRef]
  54. Enomoto, D.; Yamamoto, K.; Matsumoto, Y.; Morioka, A.; Omura, T.; Komatsu, S.; Yano, Y.; Fukumoto, T.; Yano, I. ALBI Grade Is a Predictive Factor of Lenvatinib Treatment Discontinuation Due to Adverse Events in Hepatocellular Carcinoma. Anticancer Res. 2023, 43, 1317–1323. [Google Scholar] [CrossRef]
  55. Marasco, G.; Alemanni, L.V.; Colecchia, A.; Festi, D.; Bazzoli, F.; Mazzella, G.; Montagnani, M.; Azzaroli, F. Prognostic Value of the Albumin-Bilirubin Grade for the Prediction of Post-Hepatectomy Liver Failure: A Systematic Review and Meta-Analysis. J. Clin. Med. 2021, 10, 2011. [Google Scholar] [CrossRef] [PubMed]
  56. Long, H.; Xie, X.; Huang, G.; Huang, T.; Xie, X.; Liu, B. Prognostic Role of Albumin-Bilirubin Grade in Hepatocellular Carcinoma After Ultrasound-Guided Percutaneous Radiofrequency Ablation: A Single-Center Experience over a Decade. Surg. Laparosc. Endosc. Percutan Tech. 2022, 32, 350–356. [Google Scholar] [CrossRef]
  57. Hiraoka, A.; Kumada, T.; Tsuji, K.; Takaguchi, K.; Itobayashi, E.; Kariyama, K.; Ochi, H.; Tajiri, K.; Hirooka, M.; Shimada, N.; et al. Validation of Modified ALBI Grade for More Detailed Assessment of Hepatic Function in Hepatocellular Carcinoma Patients: A Multicenter Analysis. Liver Cancer 2019, 8, 121–129. [Google Scholar] [CrossRef]
  58. Xin, Y.; Zhang, X.; Yang, Y.; Chen, Y.; Wang, Y.; Zhou, X.; Li, X. Prediction of Late Recurrence After Radiofrequency Ablation of HBV-Related Hepatocellular Carcinoma with the Age-Male-Albumin-Bilirubin-Platelets (aMAP) Risk Score: A Multicenter Study. J. Gastrointest. Oncol. 2021, 12, 2930–2942. [Google Scholar] [CrossRef]
  59. Yang, Y.; Zhou, Y.; Zhang, X.; Xin, Y.; Chen, Y.; Fan, Q.; Li, X.; Wei, X.; Li, Q.; Zhou, X.; et al. Using the aMAP Risk Score to Predict Late Recurrence Following Radiofrequency Ablation for Hepatocellular Carcinoma in Chinese Population: A Multicenter Study. J. Hepatocell. Carcinoma 2021, 8, 837–850. [Google Scholar] [CrossRef]
Figure 1. (A) Recurrence-free and (B) overall survival according to the ALBI grade, as assessed by Kaplan–Meier analysis. ALBI, albumin–bilirubin.
Figure 1. (A) Recurrence-free and (B) overall survival according to the ALBI grade, as assessed by Kaplan–Meier analysis. ALBI, albumin–bilirubin.
Cancers 16 04167 g001
Table 1. Baseline characteristics of enrolled patients.
Table 1. Baseline characteristics of enrolled patients.
CharacteristicsNo Recurrence
(n = 303)
Recurrence
(n = 333)
Total
(n = 636)
p-Value
Age65.4 ± 10.667.2 ± 10.266.3 ± 10.40.032
Male sex227 (74.9%)250 (75.1%)477 (75.0%)1.000
Etiology of chronic liver disease
 Alcohol91 (30.0%)95 (28.5%)186 (29.2%)0.742
 HBV178 (58.7%)198 (59.5%)376 (59.1%)0.909
 HCV55 (18.2%)57 (17.1%)112 (17.6%)0.812
 NASH0 (0.0%)2 (0.6%)2 (0.3%)0.521
 Cryptogenic 1 (0.3%)4 (1.2%)5 (0.8%)0.428
Presence of liver cirrhosis291 (96.0%)324 (97.3%)615 (96.7%)0.506
Laboratory results
 WBCs (/mm3)5748.7 ± 2311.85775.2 ± 2581.75762.6 ± 2454.80.892
 Hemoglobin (mg/dL)12.8 ± 1.913.1 ± 1.613.0 ± 1.70.379
 Platelet (/mm3)137.6 ± 62.9120.5 ± 55.7128.7 ± 59.8<0.001
 Prothrombin time (PT-INR)1.1 ± 0.21.2 ± 0.21.1 ± 0.20.086
 AST (IU/L)54.8 ± 61.468.6 ± 79.862.0 ± 71.90.015
 ALT (IU/L)36.9 ± 41.247.3 ± 69.642.4 ± 58.00.021
 Total bilirubin (mg/dL)1.0 ± 0.81.2 ± 1.61.1 ± 1.30.017
 Albumin (g/dL)4.1 ± 0.63.9 ± 0.64.0 ± 0.6<0.001
 Serum AFP (IU/mL)5.5 [3.0;29.6]9.8 [4.8;51.2]7.8 [3.5;38.3]<0.001
 PIVKA-II (mAU/mL)22.0 [17.0;31.0]24.0 [17.0;46.0]23.0 [17.0;36.5]0.090
CTP grade 0.007
 A288 (95.0%)296 (88.9%)584 (91.8%)
 B15 (5.0%)37 (11.1%)52 (8.2%)
Neutrophil-lymphocyte ratio4.1 ± 7.34.1 ± 5.74.1 ± 6.50.899
ALBI grade 0.010
 I203 (67.7%)183 (56.0%)386 (61.6%)
 II88 (29.3%)128 (39.1%)216 (34.4%)
 III9 (3.0%)16 (4.9%)25 (4.0%)
BCLC stage 0.093
 0155 (51.2%)148 (44.4%)303 (47.6%)
 A145 (47.9%)176 (52.9%)321 (50.5%)
 B3 (1.0%)9 (27%)12 (1.9%)
mUICC stage 0.229
 I175 (57.8%)170 (51.1%)345 (54.2%)
 II115 (38.0%)148 (44.4%)263 (41.4%)
 III13 (4.3%)15 (4.5%)28 (4.4%)
Maximum tumor size (cm)1.9 ± 0.62.0 ± 0.71.9 ± 0.60.015
Sum of tumor size (cm)2.1 ± 0.82.3 ± 1.02.2 ± 0.9 0.002
Tumor number 0.155
 1264 (87.1%)272 (81.7%)536 (84.3%)
 235 (11.6%)53 (15.9%)88 (13.8%)
 34 (1.3%)8 (2.4%)12 (1.9%)
Encapsulated tumor63 (20.8%)67 (20.1%)130 (20.4%)0.911
Subcapsular tumor115 (38.0%)123 (36.9%)238 (37.4%)0.855
Follow-up duration (days)1183.6 ± 805.11669.3 ± 947.31437.9 ± 914.5<0.001
Data are expressed as number (percentage) or mean ± standard deviation. AFP and PIKV-II levels are presented as median [25–75% interquartile range]. HBV, hepatitis B virus; HCV, hepatitis C virus; NASH, non-alcoholic steatohepatitis; WBCs, white blood cells; INR, international normalized ratio; AST, aspartate aminotransferase; ALT, alanine aminotransferase; AFP, alpha-fetoprotein; PIVKA-II, protein induced by vitamin K absence or antagonist-II; CTP grade, Child–Turcotte–Pugh grade; ALBI, albumin–bilirubin; BCLC, Barcelona Clinic Liver Cancer; mUICC, modified Union for International Cancer Control.
Table 2. Characteristics of patients with first recurrence following RFA.
Table 2. Characteristics of patients with first recurrence following RFA.
Characteristics(n = 333)
AFP level
 Initial9.8 [4.8;51.2]
 Recurrence6.7 [3.2;44.0]
CTP grade
 A296 (88.9%)
 B37 (11.1%)
First recurrence site
 RFA site67 (20.1%)
 Same hepatic lobe141 (42.3%)
 Different hepatic lobe83 (24.9%)
 Both hepatic lobe27 (8.1%)
 Extrahepatic area15 (4.5%)
mUICC stage at recurrence
 Ⅰ169 (50.8%)
 Ⅱ106 (31.9%)
 Ⅲ35 (10.5%)
 Ⅳa8 (2.4%)
 Ⅳb15 (4.5%)
Rescue treatment modality
 TACE142 (42.6%)
 RFA126 (37.8%)
 TACE + RFA11 (3.3%)
 Surgical resection11 (3.3%)
 Radiotherapy3 (0.9%)
 Liver transplantation1 (0.3%)
 Systemic chemotherapy2 (0.6%)
 Best supportive care17 (5.1%)
 Follow-up loss20 (6.0%)
Recurrence-free survival, months33.1 ± 25.3
Median time to recurrence, months42.9 [18.5–90.2]
Data are expressed as number (percentage) or mean ± standard deviation. AFP levels at initial diagnosis and recurrence, as well as the median time to recurrence, are presented as medians with [25–75% interquartile range]. AFP, alpha-fetoprotein; CTP grade; Child–Turcotte–Pugh grade; RFA, radiofrequency ablation; mUICC, modified Union for International Cancer Control; TACE, transarterial chemoembolization.
Table 3. Factors associated with recurrence after RFA using Cox proportional hazards model.
Table 3. Factors associated with recurrence after RFA using Cox proportional hazards model.
Univariate AnalysisMultivariate Analysis
p-ValueHRLower CIUpper CIp-ValueHRLower CIUpper CI
Age0.0221.0131.0021.0240.0451.0121.0001.024
Male sex0.4791.0940.8531.403
Tumor size, Maximum diameter > 2 cm0.0101.3341.0721.6610.0741.3070.9751.751
Non-single tumor (vs. single lesion)0.0341.3511.0231.7850.0731.3470.9731.865
BCLC stage (0 vs. A, B)0.0050.3611.0961.6900.3971.2330.7592.001
mUICC stage (I vs. II, III)0.0171.3011.0491.6130.5540.8710.5531.374
Encapsulated HCC0.6710.9430.7221.234
Subcapsular lesion0.8620.9800.7851.225
Post-RFA complications0.6441.0810.7771.505
Presence of liver cirrhosis0.7021.1380.5872.208
Alcoholic cirrhosis0.4001.1080.8721.407
ALBI grade<0.00011.6151.3431.9420.0181.3271.0491.679
NLR ≥ 1.550.0561.2570.9941.589
CTP grade B (vs. A)<0.00012.3781.6843.3560.0101.9011.1733.082
AFP ≥ 200 IU/mL0.2701.2330.8501.791
BCLC, Barcelona Clinic Liver Cancer; mUICC, modified Union for International Cancer Control; HCC, hepatocellular carcinoma; RFA, radiofrequency ablation; ALBI, albumin–bilirubin; NLR, neutrophil–lymphocyte ratio; CTP grade, Child–Turcotte–Pugh grade; AFP, alpha-fetoprotein; HR, hazard ratio; CI, confidence interval.
Table 4. Factors associated with overall survival after RFA using Cox proportional hazards model.
Table 4. Factors associated with overall survival after RFA using Cox proportional hazards model.
Univariate AnalysisMultivariate Analysis
p-ValueHRLower CIUpper CIp-ValueHRLower CIUpper CI
Age 0.7040.8870.4791.645
Male sex0.7501.0040.9771.033
Tumor size, Maximum diameter >2 cm0.0391.8731.0313.4030.2701.5970.6963.665
Non-single tumor (vs. single lesion)0.1961.5560.7963.038
BCLC stage (0 vs. A, B)0.0341.8851.0502.3860.4641.3700.5903.179
mUICC stage (I vs. II, III)0.1171.5640.8942.733
Encapsulated HCC0.2650.6350.2851.411
Subcapsular lesion0.6551.1380.6462.004
Post-RFA complications0.7700.8710.3462.195
Presence of liver cirrhosis0.38621.1760.02121,120.0
Alcoholic cirrhosis0.6521.1490.6272.106
ALBI grade<0.00014.7963.1797.235<0.00013.7102.0986.560
NLR ≥ 1.550.1191.6840.8753.241
CTP grade B (vs. A)<0.00017.2373.98113.1540.1531.9160.7854.675
AFP ≥ 200 IU/mL0.1310.2170.0301.576
BCLC, Barcelona Clinic Liver Cancer; mUICC, modified Union for International Cancer Control; HCC, hepatocellular carcinoma; RFA, radiofrequency ablation; ALBI, albumin–bilirubin; NLR, neutrophil–lymphocyte ratio; CTP grade, Child–Turcotte–Pugh grade; AFP, alpha-fetoprotein; HR, hazard ratio; CI, confidence interval.
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Lee, C.H.; You, G.R.; Jo, H.G.; Jun, C.H.; Cho, E.Y.; Kim, I.H.; Choi, S.K.; Yoon, J.H. Albumin–Bilirubin Grade as a Valuable Predictor of Recurrence and Prognosis in Patients with Hepatocellular Carcinoma Following Radiofrequency Ablation. Cancers 2024, 16, 4167. https://doi.org/10.3390/cancers16244167

AMA Style

Lee CH, You GR, Jo HG, Jun CH, Cho EY, Kim IH, Choi SK, Yoon JH. Albumin–Bilirubin Grade as a Valuable Predictor of Recurrence and Prognosis in Patients with Hepatocellular Carcinoma Following Radiofrequency Ablation. Cancers. 2024; 16(24):4167. https://doi.org/10.3390/cancers16244167

Chicago/Turabian Style

Lee, Chang Hun, Ga Ram You, Hoon Gil Jo, Chung Hwan Jun, Eun Young Cho, In Hee Kim, Sung Kyu Choi, and Jae Hyun Yoon. 2024. "Albumin–Bilirubin Grade as a Valuable Predictor of Recurrence and Prognosis in Patients with Hepatocellular Carcinoma Following Radiofrequency Ablation" Cancers 16, no. 24: 4167. https://doi.org/10.3390/cancers16244167

APA Style

Lee, C. H., You, G. R., Jo, H. G., Jun, C. H., Cho, E. Y., Kim, I. H., Choi, S. K., & Yoon, J. H. (2024). Albumin–Bilirubin Grade as a Valuable Predictor of Recurrence and Prognosis in Patients with Hepatocellular Carcinoma Following Radiofrequency Ablation. Cancers, 16(24), 4167. https://doi.org/10.3390/cancers16244167

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