Literature DB >> 33605612

Validation of the "Six-and-Twelve" Prognostic Score in Transarterial Chemoembolization-Treated Hepatocellular Carcinoma Patients.

Apichat Kaewdech1, Pimsiri Sripongpun1, Natcha Cheewasereechon1, Sawangpong Jandee1, Naichaya Chamroonkul1, Teerha Piratvisuth1,2.   

Abstract

INTRODUCTION: The "six-and-twelve" prognostic score was proposed recently to predict survival rate in patients with unresectable hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE). However, it has not been validated externally. We validated this score and previous prognostic scores in Thai HCC patients treated with TACE.
METHODS: We identified all HCC patients who underwent TACE between January 2007 and December 2018 at our hospital. The inclusion criteria were treatment-naive, unresectable HCC BCLC-A and BCLC-B; if cirrhosis was present, Child-Pugh score ≤7; and baseline performance status 0-1.
RESULTS: Of 716 HCC patients undergoing TACE, 281 (mean age, 61.1 years; 73.0% men, 92.2% with cirrhosis) were eligible. Approximately half of the patients had hepatitis B virus. Median overall survival was 20.3 (95% confidence interval, 16.4-26.3) months. By stratifying with the "six-and-twelve" score (≤6, >6-12, >12), median (95% confidence interval) overall survival was 35.1 (26.4-53.0), 16.0 (11.6-22.6), and 7.6 (5.4-14.9) months, respectively. Area under the receiver operating characteristic curves (AUROCs) predicting death at 1, 2, and 3 years for the "six-and-twelve" score were 0.714, 0.700, and 0.688, respectively. Compared with the other currently available scores, the AUROC predicting death at 1 year for the "six-and-twelve" score was the most predictive and better than other models except the up-to-seven model. DISCUSSION: Our study confirms the value of the "six-and-twelve" score to predict survival rate of unresectable HCC treated with TACE. However, in our validation cohort, AUROC of the "six-and-twelve" score was slightly lower than that of the original Chinese cohort (0.73).
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The American College of Gastroenterology.

Entities:  

Year:  2021        PMID: 33605612      PMCID: PMC7899857          DOI: 10.14309/ctg.0000000000000310

Source DB:  PubMed          Journal:  Clin Transl Gastroenterol        ISSN: 2155-384X            Impact factor:   4.488


INTRODUCTION

Hepatocellular carcinoma (HCC) is a major cancer that spreads globally including in Thailand (1). According to data from the Thai Ministry of Health, liver cancer is a huge burden, since it is the most and fifth most common cancer in Thai men and women, respectively (2). The mortality rate of HCC is high (age-standardized mortality rate, 21.5/100,000 per year). In Western countries, the major causes of HCC are hepatitis C and nonalcoholic fatty liver disease; by contrast, the most common causes in Eastern countries including Thailand are hepatitis B and alcohol (1,3,4). Treatments of HCC are stratified according to the Barcelona Clinic Liver Cancer (BCLC) stages (3,4). BCLC staging system, which includes tumor burden, liver function, and patient performance status, is presently used. The treatment algorithms are according to the stages of the patients. The therapeutic options are surgical resection, liver transplantation, local ablation therapy, transarterial radioembolization, or systemic therapies (4). Transarterial chemoembolization (TACE) is a modality of choice for HCC patients with BCLC stage B (intermediate stage) (1,3,4). The procedure involves injection of chemotherapeutic agents emulsified with lipoidal agents percutaneously into the hepatic artery that feeds the tumor, followed by injection of embolic agents. Therefore, the procedure yields cytotoxic and ischemic effects to the tumor. TACE initially has been proved to improve survival in HCC (5–8). According to several reported guidelines, TACE is recommended for HCC with Child A and highly selected Child B cirrhosis (3). Therefore, there were a variety of patients in this group and associated with different outcomes. Finally, pretreatment prognostic models are important tools to decide whether TACE should be performed in patients. Recently, the “six-and-twelve” prognostic score was introduced to predict the best candidates for TACE (5). This prognostic score was developed from a large, multicenter Chinese cohort study. The study illustrated that the summation of the largest tumor diameter and the numbers of tumor was an independent predictor to estimate overall survival (OS) in patients diagnosed with unresectable HCC, BCLC-A and HCC, BCLC-B disease who underwent TACE. The 3 strata of the score included the summation of scores of ≤6, >6 up to 12, and >12. The higher stratum predicted lower patient survival. An internal validation was performed in the Chinese population, which had a high performance of score. However, there was no external validation in another population. Currently, to the best of our knowledge, no study exists for external validation of the recently reported prognostic “six-and-twelve score” in HCC patients undergoing TACE (5). However, this prognostic score was derived from a population of Chinese ethnicity in which most patients had chronic hepatitis B, which was different from our population that varied in etiology of HCC. We validated the “six-and-twelve” score and other available prognostic scores in Thai HCC patients who underwent TACE.

METHODS

Patients and study design

A retrospective cohort study was conducted at Songklanagarind Hospital, Prince of Songkla University, Thailand, a supertertiary university hospital located in southern Thailand. An electronic hospital database (Health Informative System) was screened retrospectively. Patients diagnosed with HCC (International Classification of Diseases, 10th revision codes C220—malignant neoplasm of liver cell carcinoma and C229—malignant neoplasm of liver, unspecified) between January 1, 2007, and December 31, 2018, were retrieved. HCC was diagnosed by imaging or histological findings according to the American Association for the Study of Liver Disease (3), European Association for the Study of Liver (4), or Asian Pacific Association for the Study of the Liver (1) guidelines. Inclusion criteria were patients aged ≥18 years, first diagnosis of HCC, unresectable HCC BCLC-A or HCC BCLC-B, Child-Pugh score A5–B7, and TACE performed as monotherapy. Exclusion criteria were HCC with other active malignancies, history of spontaneous tumor rupture, cotreatment with any systemic or locoregional therapies during TACE session or at any time point, and absence of baseline imaging information. The inclusion criteria and exclusion criteria were consistent with the original Chinese cohort (5). Baseline clinical characteristics, including age at diagnosis, sex, performance status, causes of HCC, Child-Pugh score, BCLC stage, and baseline α-fetoprotein level, were collected. Diagnosis of HCC, and tumor burden, including tumor size and number, was determined by abdominal radiologists and recorded in the Health Informative System. OS was defined as the interval between initial TACE and death. Patient status at the end of the study (August 31, 2019) was defined as alive or death using data from the Thailand civil registration database.

Treatment procedures

All eligible patients underwent selective conventional TACE. The procedure was performed by 2 interventional radiologists who had at least 5 years of experience. The angiogram was selectively performed at celiac artery and superior mesenteric artery using a 5Fr catheter (Cobra or MIK catheter) and a 0.035-inch J-tip Terumo guidewire. The catheterization was performed at the subsegmental hepatic artery through the femoral artery route. The tumor-feeding hepatic arteries were identified and infused a mixture of lipoidol (4–16 mL) and chemotherapy agents as adriamycin (10–40 mg) or mitomycin (10–20 mg) under realtime angiography. After that, the feeding hepatic artery was embolized with gelatin sponge particles. On demand, TACE was scheduled at an interval of 4–8 weeks depending on the viability of HCC on follow-up imaging.

Statistical analysis

For baseline characteristics, quantitative variables were presented as median with interquartile range and categorical variables were presented as frequency with percentages. Survival curves were estimated using the Kaplan-Meier method and compared by the log-rank test. The “six-and-twelve” score was validated and compared with prognostic models, including up-to-seven criteria (6), four-and-seven criteria (7), hepatoma arterial-embolization prognostic (HAP) score (8), modified HAP-II (mHAP-II) score (9), and albumin bilirubin (ALBI) score (10). Harrell's concordance index (C-index) and Akaike's Information Criterion were used to assess the score discrimination ability. A confirmatory analysis was performed to evaluate the discrimination ability of the scoring systems by estimating the area under the receiver operating characteristic curve (AUROC) for each time point. Pairwise comparison of the AUROC was performed with the Delong test. Sensitivity, specificity, and positive and negative (NPV) predictive values then were calculated at the given cutoffs. All statistical analyses were performed with R software, version 3.3.2 (R Foundation, Vienna, Austria). P < 0.05 (2-sided) was considered statistically significant.

Compliance with ethical standard

The study protocol was approved by the institutional research boards ethics committee of Faculty of Medicine, Prince of Songkla University, Thailand (REC: 62-314-14-1). The study protocol was conducted in accordance with the ethical guidelines of the 1975 Declaration of Helsinki.

RESULTS

Baseline clinical characteristics

Of 716 patients who underwent TACE during the study period, 281 were eligible for the study; 432 met the exclusion criteria as depicted in Figure 1. Their baseline clinical characteristics are shown in Table 1. Mean age was 61.1 years, 73.0% were men, and 92.2% had cirrhosis. The major etiology of HCC was hepatitis B virus (HBV) (49.8%), followed by hepatitis C virus (18.9%), alcohol (11.7%), nonalcoholic fatty liver disease (9.3%), cryptogenic (9.2%), and autoimmune hepatitis (1.1%). The Child-Pugh stage of liver cirrhosis was classified as A5 (43.8%), A6 (36.6%), and B7 (19.6%).
Figure 1.

Flow chart for patient eligibility. HCC, hepatocellular carcinoma; TACE, transarterial chemoembolization.

Table 1.

Baseline demographics and clinical characteristics (N = 281)

ABLI, albumin-bilirubin; AFP, α-fetoprotein; AIH, autoimmune hepatitis; ALT, alanine aminotransferase; AST, aspartate aminotransferase; BCLC, Barcelona Clinic Liver Cancer; HBV, hepatitis B virus; HCV, hepatitis C virus; INR, international normalized ratio; IQR, interquartile range; MAFLD, metabolic-dysfunction-associated fatty liver disease; TACE, transarterial chemoembolization; TB, total bilirubin.

Medians with IQR are shown for quantitative variables, whereas counts with proportions are shown for categorical variables.

With PS0, reserved liver function, and the absence of metastasis or macrovascular invasion, BCLC staging considers single tumor >2 cm as stage A.

Flow chart for patient eligibility. HCC, hepatocellular carcinoma; TACE, transarterial chemoembolization. Baseline demographics and clinical characteristics (N = 281) ABLI, albumin-bilirubin; AFP, α-fetoprotein; AIH, autoimmune hepatitis; ALT, alanine aminotransferase; AST, aspartate aminotransferase; BCLC, Barcelona Clinic Liver Cancer; HBV, hepatitis B virus; HCV, hepatitis C virus; INR, international normalized ratio; IQR, interquartile range; MAFLD, metabolic-dysfunction-associated fatty liver disease; TACE, transarterial chemoembolization; TB, total bilirubin. Medians with IQR are shown for quantitative variables, whereas counts with proportions are shown for categorical variables. With PS0, reserved liver function, and the absence of metastasis or macrovascular invasion, BCLC staging considers single tumor >2 cm as stage A. At initial diagnosis of HCC, the largest tumor size most commonly was >3–≤7 cm (37.4%) followed by ≤3 cm (34.9%). More than half (52.7%) of the patients had a single tumor. According to the BCLC system, the number of cases classified as BCLC stages 0, A, and B was 11.7%, 52.7%, and 35.6%, respectively. Median values for serum alanine aminotransferase and platelet count were 36.0 (24.0–54.0) U/L and 124.0 × 109/L (77.0–204.0), respectively. Mean serum albumin level was 3.5 (±0.5) g/dL. Most patients had serum α-fetoprotein <400 ng/mL (75.1%). The median number of TACE sessions was 2 per patient (1.0–4.0).

Overall survival

Median OS for the cohort was 20.3 (95% confidence interval [CI], 16.4–26.3) months, with 1-, 2-, and 3-year survivals being 62.5%, 45.6%, and 35.5%, respectively (Figure 2).
Figure 2.

Kaplan-Meier curve of OS in the entire cohort. CI, confidence interval; OS, overall survival.

Survival according to the “six-and-twelve” score

By stratifying with the “six-and-twelve” score (≤6, >6–12, and >12), median OSs were 35.1 (95% CI, 26.4–53.0), 16.0 (95% CI, 11.6–22.6), and 7.6 (95% CI, 5.4–14.9) months (Figure 3), with 1-year survival probabilities of 75.6%, 57.6%, and 35.8%, respectively.
Figure 3.

Kaplan-Meier curve of stratified survival according to the “six-and-twelve” score in the entire cohort. CI, confidence interval; OS, overall survival.

Kaplan-Meier curve of OS in the entire cohort. CI, confidence interval; OS, overall survival.

Comparison of the performance and discrimination of the “six-and-twelve” score and other scores

The performance and discrimination of the “six-and-twelve” score and other scores (up-to-seven criteria, four-and-seven criteria, HAP score, mHAP-II score, and ALBI score) were compared (Table 2). The AUROCs predicting death at 1, 2, and 3 years for the “six-and-twelve” score were 0.714, 0.700, and 0.688, respectively (Table 2). The 1-year AUROC value for the “six-and-twelve” score was significantly higher than those for the four-and-seven and ALBI scores and numerically higher than those for the HAP and mHAP-II scores (Table 2). As the backbone formula for calculation of “six-and-twelve” and up-to-seven criteria are the same, not surprisingly, the AUROCs predicting death for the “six-and-twelve” and up-to-seven score criteria displayed identically as 0.714, 0.700, and 0.688 at 1, 2, and 3 years, respectively. In addition, the discriminatory ability of the “six-and-twelve” score and up-to-seven criteria as calculated by the Harrell's C-index demonstrated the highest value of 0.699. The C-index of the four-and-seven, HAP score, mHAP-II score, and ALBI score were 0.611, 0.674, 0.667, and 0.612, respectively.
Table 2.

Comparison of the performance and discriminative ability between the “six-and-twelve” score and other models

All models are continuous data except four-and-seven score.

AIC, Akaike's Information Criterion; ALBI, albumin-bilirubin, AUROC, area under the receiver operating characteristic curve; CI, confidence interval; HAP, hepatoma arterial-embolization prognostic; mHAP-II, modified HAP-II.

P value for comparison with the “six-and-twelve” score.

Comparison of the performance and discriminative ability between the “six-and-twelve” score and other models All models are continuous data except four-and-seven score. AIC, Akaike's Information Criterion; ALBI, albumin-bilirubin, AUROC, area under the receiver operating characteristic curve; CI, confidence interval; HAP, hepatoma arterial-embolization prognostic; mHAP-II, modified HAP-II. P value for comparison with the “six-and-twelve” score. Kaplan-Meier curve of stratified survival according to the “six-and-twelve” score in the entire cohort. CI, confidence interval; OS, overall survival. The differences in the “six-to-twelve” score and up-to-seven criteria are the cutoffs between 2 scoring systems. Therefore, the sensitivity, specificity, positive predictive value, and NPV of those scores in predicting survival were evaluated further (Table 3). The “six-and-twelve”, model cutoff 6, model cutoff 12, and up-to-seven (model cutoff 7) had NPVs of 76.6%, 69.2%, and 77.1% in predicting 1-year mortality, respectively.
Table 3.

Predictive values of “six-and-twelve” and up-to-seven models

NPV, negative predictive value; PPV, positive predictive value.

Predictive values of “six-and-twelve” and up-to-seven models NPV, negative predictive value; PPV, positive predictive value.

DISCUSSION

Recently, the “six-and-twelve” score was proposed to identify the best candidate for TACE (5). The score was the sum of a diameter of the largest tumor size and tumor number, stratified into 3 groups; ≤6, >6 but <12, and >12. This study is an external validation study of the “six-and-twelve” score conducted in a different population (11). Our study differed as it had variety etiologies of HCC. This reflected the real-life practice which had heterogenous causes of HCC. The performance and discriminatory capacity of this model is the most predictive compared with other currently available models. However, calculation of the “six-and-twelve” score is identical to that for the up-to-seven criteria because both scoring systems use the same parameters of tumor size and number in the score, and the final score is the summation of those parameters. Regarding the performance of these 2 models for 1-year survival prediction before TACE, the up-to-seven criteria with the cutoff value of 7 had the highest NPV. Interestingly, the original “six-and-twelve” score development study showed that the “six-and-twelve” score was better than the up-to-seven criteria. This might be due to the different designated analysis (5). We presupposed that the difference in AUROCs of the “six-and-twelve” score and the up-to-seven criteria in the original study is due to the researchers using the raw continuous score to calculate the AUROC for the “six-and-twelve” score, but used the category of score ≤7 and >7 in the latter criteria, which would produce the different AUROC when transforming continuous score to categorical data. It is well known that tumor burden as well as liver function are associated with survival rate of HCC patients (1,3,4). For the ideal TACE candidate, hepatic function should be preserved. In addition, the survival outcome depends on tumor burden. The “six-and-twelve” score and up-to-seven criteria were based on the largest tumor diameter and number of tumor(s) with different cutoff values. Several reports suggested that tumor burden is an independent predictor of survival (6,12). The median OS for our cohort was lower than that for the cohort in the original study (20.3 vs 32.9 months) (5). In addition, by stratifying with the “six-and-twelve” score (≤6, >6–12, >12), median OS for our cohort again was lower than that in the original cohort in every stratum (our cohort, 35.1, 16.0, and 7.6 months vs original cohort, 49.1, 32.0, and 15.8 months, respectively) (5). Of interest, the reasons to explain the lower survival in our cohort compared with the Chinese cohort (5) might be from the different etiologies of HCC, and the lower proportions of a single tumor, HCC BCLC-A, and cirrhosis Child-Pugh score A in the study population. Of the eligible patients in our study, 49% had HBV infection compared with 85.2% in the original cohort. Notably, HBV-associated HCC patients had better survival times than those with other etiologies from a large database study (13). Moreover, in our study, lower proportions of HCC BCLC-A and cirrhosis Child-Pugh score A were observed in contrast to the original study, which might result in the lower survival rate as tumor stage and preserved liver function of the patients are important predictive factors of survival (14). However, our cohort had a similar median OS (19.8 months) as that from a large systematic review including 10,108 patients who underwent TACE (15). In addition, our data are consistent with those of the previous meta-analyses (16,17). Our study has notable strengths. First, this study is a real-world practice in which the etiology of HCC was heterogeneous, in contrast to the population in the originally derived “six-and-twelve” score. Most HCC cases were due to HBV infection. Second, to the best of our knowledge, this is the first external validation study of the score outside China (5,18). We also recognized some limitations in this study. First, our study was conducted based on a single tertiary referral hospital‐based cohort, and its results are not generalized to other populations. Secondly, data on viral suppression status of viral hepatitis were not collected in this study, in which recent data suggested that antiviral therapies improved hepatic function in patients with viral-associated HCC (19,20). However, most of our patients who were ideal candidates for TACE had well-preserved liver function at baseline. In conclusion, the OSs were different in each “six-and-twelve” score strata. Our study confirmed the predictive value of the “six-and-twelve” score in predicting survival of patients with unresectable HCC treated with TACE. However, in our validation cohort, the AUROC of the “six-and-twelve” score was slightly lower than that of the original Chinese cohort (AUROC 0.73). The “six-and-twelve” score, despite being the most predictive score currently, may not be the ideal score to predict OS in TACE-treated HCC patients, as the AUROC is in acceptable but not excellent range. Further studies to develop new and more predictive scores should be considered.

CONFLICTS OF INTEREST

Guarantor of the article: Pimsiri Sripongpun, MD. Specific author contributions: A.K. contributed to the study concept and design, collecting data, analysis and interpretation of data, and drafting of the manuscript. P.S. contributed to the analysis, interpretation of data, and critical revision of the manuscript. N. Cheewasereechon contributed to data collection and drafting the manuscript. S.J. and N. Chamroonkul contributed to the interpretation of data and critical revision of the article. T.P. contributed to the study concept and design and supervised the study. All authors contributed to critical revisions and approved the final manuscript. Financial support: This work was supported by the grant from Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand. Potential competing interests: A.K., P.S., N. Cheewasereechon, S.J., and N. Chamroonkul have nothing to declare. T.P. has received research grants from Gilead Sciences, Roche Diagnostic, Janssen, Fibrogen, and VIR and speaker honorarium from Bristol-Myers Squibb, Gilead Sciences, Bayer, Abbott, Esai, Mylan, Ferring, and MSD. All investigators had access to the study data, reviewed, and approved the final manuscript.

WHAT IS KNOWN

✓ The “six-and-twelve” prognostic score had been introduced to predict the best candidates for transarterial chemoembolization (TACE). ✓ No study exists for external validation of the recently reported prognostic “six-and-twelve score” in hepatocellular carcinoma (HCC) patients in other countries outside of China.

WHAT IS NEW HERE

✓ The performance of this model is the most predictive compared to other currently available models except the up-to-seven model. ✓ The up-to-seven criteria with the cutoff value of 7 had the highest NPV. ✓ The median overall survival (OS) for our cohort was lower than that for the cohort in the original study.

TRANSLATIONAL IMPACT

✓ The “six-and-twelve” score, despite being the most predictive score currently, may not be the ideal score to predict OS in TACE-treated HCC patients.
  15 in total

Review 1.  Epidemiology and treatment of hepatocellular carcinoma in Thailand.

Authors:  Soonthorn Chonprasertsuk; Ratha-Korn Vilaichone
Journal:  Jpn J Clin Oncol       Date:  2017-04-01       Impact factor: 3.019

2.  Subgrouping of intermediate-stage (BCLC stage B) hepatocellular carcinoma based on tumor number and size and Child-Pugh grade correlated with prognosis after transarterial chemoembolization.

Authors:  Koichiro Yamakado; Shiro Miyayama; Shozo Hirota; Kimiyoshi Mizunuma; Kenji Nakamura; Yoshitaka Inaba; Hiroaki Maeda; Kunihiro Matsuo; Norifumi Nishida; Takeshi Aramaki; Hiroshi Anai; Shinichi Koura; Shigeo Oikawa; Ken Watanabe; Taku Yasumoto; Kinya Furuichi; Masato Yamaguchi
Journal:  Jpn J Radiol       Date:  2014-03-11       Impact factor: 2.374

Review 3.  EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma.

Authors: 
Journal:  J Hepatol       Date:  2018-04-05       Impact factor: 25.083

4.  Superselective transarterial chemoembolization for hepatocellular carcinoma. Validation of treatment algorithm proposed by Japanese guidelines.

Authors:  Kenichi Takayasu; Shigeki Arii; Masatoshi Kudo; Takafumi Ichida; Osamu Matsui; Namiki Izumi; Yutaka Matsuyama; Michiie Sakamoto; Osamu Nakashima; Yonson Ku; Norihiro Kokudo; Masatoshi Makuuchi
Journal:  J Hepatol       Date:  2011-12-13       Impact factor: 25.083

5.  Predicting survival after liver transplantation in patients with hepatocellular carcinoma beyond the Milan criteria: a retrospective, exploratory analysis.

Authors:  Vincenzo Mazzaferro; Josep M Llovet; Rosalba Miceli; Sherrie Bhoori; Marcello Schiavo; Luigi Mariani; Tiziana Camerini; Sasan Roayaie; Myron E Schwartz; Gian Luca Grazi; René Adam; Peter Neuhaus; Mauro Salizzoni; Jordi Bruix; Alejandro Forner; Luciano De Carlis; Umberto Cillo; Andrew K Burroughs; Roberto Troisi; Massimo Rossi; Giorgio E Gerunda; Jan Lerut; Jacques Belghiti; Ilka Boin; Jean Gugenheim; Fedja Rochling; Bart Van Hoek; Pietro Majno
Journal:  Lancet Oncol       Date:  2008-12-04       Impact factor: 41.316

Review 6.  Transarterial chemoembolization for unresectable hepatocellular carcinoma: meta-analysis of randomized controlled trials.

Authors:  Calogero Cammà; Filippo Schepis; Ambrogio Orlando; Maddalena Albanese; Lillian Shahied; Franco Trevisani; Pietro Andreone; Antonio Craxì; Mario Cottone
Journal:  Radiology       Date:  2002-07       Impact factor: 11.105

7.  Development of a prognostic score for recommended TACE candidates with hepatocellular carcinoma: A multicentre observational study.

Authors:  Qiuhe Wang; Dongdong Xia; Wei Bai; Enxin Wang; Junhui Sun; Ming Huang; Wei Mu; Guowen Yin; Hailiang Li; Hui Zhao; Jing Li; Chunqing Zhang; Xiaoli Zhu; Jianbing Wu; Jiaping Li; Weidong Gong; Zixiang Li; Zhengyu Lin; Xingnan Pan; Haibin Shi; Guoliang Shao; Jueshi Liu; Shufa Yang; Yanbo Zheng; Jian Xu; Jinlong Song; Wenhui Wang; Zhexuan Wang; Yuelin Zhang; Rong Ding; Hui Zhang; Hui Yu; Lin Zheng; Weiwei Gu; Nan You; Guangchuan Wang; Shuai Zhang; Long Feng; Lin Liu; Peng Zhang; Xueda Li; Jian Chen; Tao Xu; Weizhong Zhou; Hui Zeng; Yongjin Zhang; Wukui Huang; Wenjin Jiang; Wen Zhang; Wenbo Shao; Lei Li; Jing Niu; Jie Yuan; Xiaomei Li; Yong Lv; Kai Li; Zhanxin Yin; Jielai Xia; Daiming Fan; Guohong Han
Journal:  J Hepatol       Date:  2019-01-18       Impact factor: 25.083

8.  A simple prognostic scoring system for patients receiving transarterial embolisation for hepatocellular cancer.

Authors:  L Kadalayil; R Benini; L Pallan; J O'Beirne; L Marelli; D Yu; A Hackshaw; R Fox; P Johnson; A K Burroughs; D H Palmer; T Meyer
Journal:  Ann Oncol       Date:  2013-07-14       Impact factor: 32.976

9.  Clinical characteristics and prognosis of 2887 patients with hepatocellular carcinoma: A single center 14 years experience from China.

Authors:  Chun-Yan Wang; Shengmian Li
Journal:  Medicine (Baltimore)       Date:  2019-01       Impact factor: 1.817

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

Authors:  David J Pinato; Rohini Sharma; Elias Allara; Clarence Yen; Tadaaki Arizumi; Keiichi Kubota; Dominik Bettinger; Jeong Won Jang; Carlo Smirne; Young Woon Kim; Masatoshi Kudo; Jessica Howell; Ramya Ramaswami; Michela E Burlone; Vito Guerra; Robert Thimme; Mitsuru Ishizuka; Justin Stebbing; Mario Pirisi; Brian I Carr
Journal:  J Hepatol       Date:  2016-09-24       Impact factor: 25.083

View more
  3 in total

1.  ABO Blood Group Differentials on Survival in Hepatocellular Carcinoma Patients Treated with Chemoembolization.

Authors:  Kittipitch Bannangkoon; Keerati Hongsakul; Pimsiri Sripongpun; Apichat Kaewdech; Naichaya Chamroonkul; Teeravut Tubtawee; Teerha Piratvisuth
Journal:  Asian Pac J Cancer Prev       Date:  2021-11-01

2.  Tumor Burden in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Head-to-Head Comparison of Current Scoring Systems.

Authors:  Lukas Müller; Felix Hahn; Timo Alexander Auer; Uli Fehrenbach; Bernhard Gebauer; Johannes Haubold; Sebastian Zensen; Moon-Sung Kim; Michel Eisenblätter; Thierno D Diallo; Dominik Bettinger; Verena Steinle; De-Hua Chang; David Zopfs; Daniel Pinto Dos Santos; Roman Kloeckner
Journal:  Front Oncol       Date:  2022-02-23       Impact factor: 6.244

3.  The combination of sarcopenia and biochemical factors can predict the survival of hepatocellular carcinoma patients receiving transarterial chemoembolization.

Authors:  Tzu-Ping Chien; Song-Fong Huang; Wen-Hui Chan; Kuang-Tse Pan; Ming-Chin Yu; Wei-Chen Lee; Hsin-I Tsai; Po-Ting Lin; Hsing-Yu Chen; Jui-Hsuan Chen; Chao-Wei Lee
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.