Literature DB >> 27294142

A Comparison between Three-Dimensional Visualization Guided Hepatectomy and Ultrasonography Guided Radiofrequency Ablation in the Treatment of Small Hepatocellular Carcinoma within the Milan Criteria.

Tian-Pei Guan1, Chi-Hua Fang1, Jian Yang1, Nan Xiang1, Qing-Shan Chen1, Shi-Zhen Zhong2.   

Abstract

Background. Treatment selection for small hepatocellular carcinoma (sHCC) is controversial. We aimed to compare the outcomes of medical imaging three-dimensional visualization system (MI-3DVS) guided surgical resection (SR) and ultrasonography guided radiofrequency ablation (RFA) for sHCC. Methods. In total, 194 patients who underwent SR or RFA in our hospital between January 2006 and May 2010 were retrospectively enrolled. Overall survival (OS), recurrence-free survival (RFS), and postoperative complications were compared. Cox regression was used to estimate the benefits of MI-3DVS-guided SR on OS and RFS. Results. Ninety-two patients underwent SR and 102 underwent RFA. The SR group experienced more complications (41.3% versus 19.6%) and longer hospital stay (18.04 ± 7.11 versus 13.06 ± 5.59) (both p < 0.05). The 1-, 2-, 3-, 4-, and 5-year OS was 96.7%, 95.7%, 93.5%, 83.5%, and 61.1% in the SR group and 95.0%, 88.1%, 72.7%, 56.9%, and 39.5% in the RFA group. Corresponding RFS was 95.7%, 94.6%, 84.7%, 59.8%, and 40.2% in SR group and 91.2%, 80.3%, 60.5%, 32.3%, and 22.3% in RFA group. The 5-year OS and RFS were higher in SR group (both p < 0.001). Interestingly, there was no significance in OS and RFS among subgroups aged >60 years. Independent predictors of OS and RFS, respectively, were intervention (HR, 2.769 and 1.933), tumor number (HR, 5.128 and 3.903), and serum alpha-fetoprotein (AFP) (HR, 1.871 and 1.474) (all p < 0.05). Conclusions. MI-3DVS based hepatectomy should be considered primary treatment while RFA can be treated as alternative therapy for older patients. Intervention, tumor number, and AFP are independent predictors for both survival and recurrence.

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Year:  2016        PMID: 27294142      PMCID: PMC4880684          DOI: 10.1155/2016/8931732

Source DB:  PubMed          Journal:  Biomed Res Int            Impact factor:   3.411


1. Introduction

Hepatocellular carcinoma (HCC) is the second leading cause of cancer associated death worldwide [1]. Although Asian countries account for more than 70% of HCC cases [2], rising trends in morbidity and mortality in Western countries have been reported [1, 3]. Surgical resection (SR), transplantation, and radiofrequency ablation (RFA) are recommended as curative methods for patients at the early stage in the Barcelona Clinic Liver Cancer system [4] and those who meet the Milan criteria [2, 5]. RFA is characterized by high cost-effectiveness and minimal invasiveness while SR is considered a high-risk intervention. To reduce the performance-related risks, several surgery planning software systems have been developed [6-8]. To the best of our knowledge, the long-term outcomes of these technique based SR have not been analyzed. This study aimed to compare the outcomes of medical imaging three-dimensional visualization system (MI-3DVS, patented by the authors; software copyright number 2008SR18798) based SR and RFA in patients with sHCC who met the Milan criteria and to identify the predictors of survival and recurrence.

2. Material and Methods

2.1. Patients and Definitions

HCC patients who underwent MI-3DVS based SR or ultrasonography guided RFA as the initial treatment in Zhujiang Hospital between January 2006 and May 2010 and met the eligibility criteria were retrospectively enrolled. The diagnosis of HCC was mainly based on typical features such as arterial hypervascularity and wash out in the early or delayed venous phase on 4-phase contrast-enhanced computed tomography (CT) or dynamic contrast-enhanced magnetic resonance imaging (MRI) [4]. Ultrasonography or CT-guided biopsy was performed when the diagnosis was dubious according to the practice guidelines [4, 9]. Tumor number and diameter were calculated based on the MI-3DVS and/or CT/MRI findings as previously reported [7]. The severity of postoperative complications was estimated according to the Clavien-Dindo Classification system [10]. Demographic and clinical data were retrieved from the hospital's data center. Tumor recurrence was defined as the emergence of lesions within the liver parenchyma or outside the liver at least 4 weeks after treatment. Eligibility criteria were as follows: (1) meeting the Milan criteria (single HCC ≤ 5 cm or no more than 3 lesions with the largest nodule ≤ 3 cm in diameter); (2) no evidence of extrahepatic metastasis or vascular invasion or extensive lymph node metastasis; (3) Child-Pugh liver function class A or B; (4) no history of encephalopathy, refractory ascites, or variceal bleeding; and (5) no history of anticancer treatment.

2.2. Follow-Up

The main endpoints of this study were cumulative OS, recurrence-free survival (RFS), and postoperative complications. The patients were routinely required to revisit our hospital for follow-up 4 weeks after treatment. Then, serum alpha-fetoprotein (AFP) levels were measured and ultrasonography was performed every 2-3 months for 2 years and then every 6 months for up to 5 years. When intrahepatic recurrence was equivocal, MRI or contrast-enhanced CT was performed. In patients with suspected extrahepatic recurrence, chest CT or positron emission tomography was performed. Once recurrence was confirmed, hepatectomy, RFA, percutaneous ethanol injection (PEI), transcatheter hepatic arterial chemoembolization (TACE), or treatment with sorafenib was recommended.

2.3. Three-Dimensional Visualization and Surgery Planning

The process of three-dimensional (3D) reconstruction and the requirements of the CT dataset by the system have been described previously [7, 11]. The enhanced thin CT slices (2 mm) were automatically registered by the software. Based on the CT data, a 3D model and corresponding individual Couinaud's anatomic segmentation of the liver could be successfully reconstructed by MI-3DVS according to the distribution area of the hepatic vein and the shape of the portal vein. After that, the 3D liver models were derived as a Standard Template Library file and imported to the Free Form Modeling System (SensAble Technologies, Inc., TextureKiln, USA) to visualize the regions of interest such as the hepatic artery blood supply, location of the HCC, and vascular variations. The total volume and remnant volume of the liver after tumor resection as well as the percentage of the remnant liver were automatically calculated by the measurement tool attached to the Free Form Modeling System. Then, an appropriate strategy was decided according to these parameters. While the operation was performed, the reconstructed models as well as the planed hepatectomy were displayed on a portable computer in the operating room to provide indirect guidance.

2.4. Radiofrequency Ablation

RFA was carried out using the Radionics Cool-Tip RF Ablation System (Radionics, Burlington, VT, USA) under ultrasonography guidance (ACUSON SEQUOIA™ 512 Ultrasound System, Siemens, Berlin, Germany). The procedure was performed with the patient under local, intravenous, or spinal anesthesia, based on their preference. The placement of the ablation needle was achieved under ultrasonography guidance. After appropriate placement, RFA was activated from 10 W to 120 W with an increase of 10 W per minute. Then, RFA was sustained until a total ablative area of 0.5–1.0 cm over the tumor margin in ultrasonography images or an obvious impedance increase of ≥10 Ω appeared.

2.5. Statistical Analysis

The sample size was calculated with a 5-year overall survival (OS) rate equal to 60% in the SR group and 40% in the RFA group using Empower Stats software (X&Y Solutions Inc., Boston, USA). The type-I error and power were set at 0.05 and 0.90 for a 2-sided log-rank test. Therefore, at least 75 patients were needed in each group, with an estimated lost to follow-up rate of 20%. The Student t-test and χ 2 tests were employed for continuous data and categorical data. The Mann-Whitney U test was used for the ranked data. The Kaplan-Meier method with the log-rank test was used to generate survival functions and estimate the significance between the groups. Cumulative survival rates were estimated with survival tables using the log-rank test. Bivariate and partial correlation analyses were performed to identify factors associated with OS and RFS. The factors identified by correlation analysis were analyzed by both univariate and multivariate analyses using Cox proportional hazards regression models to identify the risk factors associated with survival and recurrence. Statistical analyses were performed using the SPSS 13.0 for Windows (SPSS Inc., IL, USA). A p value <0.05 was considered statistically significant.

2.6. Ethics Statement

This study was approved by the Ethics Committee of Zhujiang Hospital, Southern Medical University (Number 2014-GDYK-007). Although written informed consent was not required because of the retrospective study design, the patients were informed that their data would be used for scientific purpose when they were hospitalized.

3. Results

3.1. Patient Characteristics

A total of 194 patients who met the eligibility criteria were enrolled in the present study and analyzed. Among these subjects, 92 (47.4%) underwent SR and 102 (52.6%) underwent RFA. Of the patients, 75 in the SR group and 90 in the RFA group were men. The mean age was 52.48 ± 8.36 years and 54.02 ± 7.66 years in the SR and RFA groups, respectively. 3D models were successfully reconstructed the patients in SR group (Figure 1). The diameter of the lesions in the SR and RFA groups was 3.14 ± 1.06 cm and 3.17 ± 0.91 cm, respectively. In addition, the number of patients with 1, 2, or 3 tumors, respectively, was 67, 18, and 7 in the SR group and 68, 22, and 12 in the RFA group. There were no significant differences in sex, age distribution, tumor number, tumor diameter, liver function, hepatitis virus infection, alcoholism, cirrhosis, and results of blood biochemical tests between the two groups (all p > 0.05) (Table 1).
Figure 1

Representative visualization results of small hepatocellular carcinoma and its spatial relationship with surrounding structures. (a) Overall location of the lesion; (b, c, d) the relationship between the tumor and hepatic vein (b), portal vein (c), and artery (d).

Table 1

Clinical and demographic characteristics of patients in the two groups.

VariablesGroupChi-square p value
SR (n)RFA (n)
Number of cases92102
Gender (male/female)75/1790/12 χ 2 = 1.7150.190
Age (years)52.48 ± 8.3654.02 ± 7.66 t = −1.3400.182
Cases (age ≤ 60/>60)77/158220 χ 2 = 0.3570.550
Hepatitis χ 2 = 1.7120.634
 None1217
 HBV6773
 HCV68
 Both HBV and HCV74
Cirrhosis4949 χ 2 = 0.5280.468
Alcoholism137 χ 2 = 2.7630.096
Diameter (cm)3.19 ± 0.983.10 ± 0.88 t = 0.6000.549
Tumor number (1/2/3)67/18/767/22/13 χ 2 = 1.6890.430
ALT (μ/L)47.05 ± 28.5543.32 ± 28.35 t = 0.9120.363
AST (μ/L) 43.70 ± 28.0549.15 ± 26.65 t = −1.3880.167
Tbil (μmol/L) 14.27 ± 7.4416.52 ± 9.60 t = −1.8090.072
ALB (g/L)38.00 ± 4.7539.36 ± 4.81 t = −1.9690.050
Hb (g/L)130.09 ± 17.39132.63 ± 26.28 t = −0.8060.422
PLT (≥1011/L/<1011/L)84/889/13 χ 2 = 0.8220.365
PT (≥15 sec/<15 sec)20/9611/83 χ 2 = 1.2660.260
AFP (<400 μg/L/≥400 μg/L)50/4260/42 χ 2 = 0.3950.530
Child-Pugh (A/B)79/1383/19 χ 2 = 0.5650.452
Hospital stays (days)18.04 ± 7.1113.06 ± 5.59 t = 5.455<0.001

HBV: hepatitis B virus; HCV: hepatitis B virus; ALT: alanine aminotransferase; AST: aspartate aminotransferase; Tbil: total bilirubin; ALB: albumin; Hb: hemoglobin; PLT: platelet; PT: prothrombin time; AFP: α-fetoprotein.

3.2. Postoperative Complications and Clavien-Dindo Classification

Patients who underwent liver resection experienced longer hospital stay than those who received RFA (18.04 ± 7.11 versus 13.06 ± 5.59 days, p < 0.001). The incidence of procedure-related complications was higher in the SR group than in the RFA group (38/92 versus 20/102, p = 0.001). Major complications in the SR group were hydrothorax (4 cases), ascites (7), bile leakage (2), postoperative hemorrhage (1), fever ≥38.5°C for at least 3 days (5), and severe pain (23). Major complications in the RFA group were hydrothorax (2 cases), ascites (2), postoperative hemorrhage (1), hepatic failure (1), massive necrosis (1), pneumothorax (3), fever ≥38.5°C for at least 3 days (2), and severe pain (8). Additionally, the rate of moderate-severe complications (Clavien-Dindo class ≥ grade 2) in the SR group was significantly higher than in the RFA group (19/92 versus 4/102, p < 0.001). Further details regarding postoperative complications are presented in Table 2.
Table 2

Postoperative complications in the two groups.

Complication & classificationGroupChi-square p value
SR (n)RFA (n)
Complications (totle)3820 χ 2 = 10.8640.001
 Hydrothorax42
 Ascites72
 Bile leakage2
 Postoperative hemorrhage11
 Hepatic failure1
 Massive necrosis1
 Pneumothorax3
 Febrile (>38.5°C & >3 days)52
 Pain (PCA included)238
Clavien-Dindo Classification z = −2.0940.036
 Grade 11916
 Grade 2163
 Grade 3-431

Mann-Whitney U test;

PCA: patient controlled analgesia.

3.3. Overall Survival and Recurrence-Free Survival

The median (quartile range) follow-up periods in the SR and RFA groups were 60 (50–60) months and 48.5 (28–60) months, respectively. During this period, 23 patients (9 in the SR group and 14 in the RFA group) were lost to follow-up, and 94 patients (35 in the SR group and 59 in the RFA group) died of HCC-related disease. The major causes of death were tumor progression, liver failure, massive hemorrhage, and hepatic encephalopathy. Three patients died because of other reasons (1 for unknown reason in the SR group; 1 suicide and 1 traffic accident in the RFA group). There were no treatment-related deaths in either group during the 3 months after treatment. In total, 124 patients experienced recurrence (52 in the SR group and 72 in the RFA group). Treatments for recurrence are summarized in Table 3.
Table 3

Treatments for tumor recurrence.

Group
TreatmentsSR (n = 52)RFA (n = 72) p value
Without intervention 12160.911
TACE 18170.179
RFA 9200.174
PEI 24>0.999
Sorafenib35>0.999
Second hepatectomy 520.129
TACE and RFA380.302

Fisher's exact test.

The 1-, 2-, 3-, 4-, and 5-year OS rates were, respectively, 96.7%, 95.7%, 93.5%, 83.5%, and 61.1% in the SR group and 95.0%, 88.1%, 72.7%, 56.9%, and 39.5% in the RFA group. The corresponding RFS rates were 95.7%, 94.6%, 84.7%, 59.8%, and 40.2% in the SR group and 91.2%, 80.3%, 60.5%, 32.3%, and 22.3% in the RFA group. Both OS and RFS were significantly higher in patients who underwent hepatectomy than in those who received RFA (Figure 2).
Figure 2

Overall survival and recurrence-free survival in the two groups. The 5-year overall survival rates were 61.1% and 39.5% in the SR and RFA groups, respectively. The 5-year recurrence-free survival rates were 40.2% and 22.3% in the SR and RFA groups, respectively. Both overall survival (p < 0.001) and recurrence-free survival (p = 0.002) were significantly higher in the SR group than in the RFA group. SR, three-dimensional visualization system-guided surgical resection; RFA, radiofrequency ablation.

Additionally, in the SR group, both OS and RFS were higher among subgroups of patients with solitary HCC ≤ 3 cm, multifocal HCC, solitary HCC > 3 cm, serum AFP level ≥ 400 μg/L, serum AFP level < 400 μg/L, Child-Pugh class A, Child-Pugh class B, and younger patients (aged ≤ 60 years). However, no significant differences in RFS were found in patients with multiple nodules and Child-Pugh class B and in older patients (aged > 60 years) (Table 4).
Table 4

Overall survival and recurrence-free survival for patients in subgroups.

Subgroups5-year overall survival rate5-year recurrence-free survival
SR (n)RFA (n) p valueSRRFA p value
Solitary > 3 cm51.0% (39)38.4% (44)0.03143.2%26.7%0.037
Multiple tumors 38.8% (25)17.6% (34)0.02410.6%7.0%0.164
Solitary ≤ 3 cm92.6% (28)70.2% (24)0.02664.3%36.2%0.007
AFP < 400 μg/L73.6% (50)47.8% (60)0.00250.9%27.6%0.002
AFP ≥ 400 μg/L46.9% (42)28.5% (42)0.00826.8%14.4%0.027
Noncirrhosis67.7% (43)46.0% (53)0.00645.4%25.5%0.005
Cirrhosis55.4% (49)31.5% (49)0.00535.5%17.9%0.013
Child-Pugh A64.8% (69)45.2% (73)0.00242.3%25.5%0.002
Child-Pugh B49.9% (23)22.8% (29)0.03433.6%11.9%0.089
Age ≤ 60 years63.2% (77)36.8% (82)<0.00141.2%22.2%<0.001
Age > 60 years60.0% (15)51.0% (20)0.81435.6%22.9%0.709

AFP: α-fetoprotein.

3.4. Prognostic Indicators for Survival and Recurrence

The factors associated with OS in correlation analysis (disregarding the strength of the association) were intervention, tumor number, tumor diameter, Child-Pugh class, cirrhosis, serum AFP, and tumor recurrence. The factors associated with RFS were intervention, tumor number, tumor diameter, Child-Pugh class, and serum AFP, respectively (Table 5). These variables were analyzed by using the Cox proportional hazards model to identify the independent predictors of survival and tumor recurrence. By univariate analysis, the factors associated with OS were intervention, tumor number, serum AFP, Child-Pugh class, and tumor recurrence. However, by multivariate analysis, tumor diameter was associated with OS while tumor recurrence, Child-Pugh class, and tumor recurrence were not. The corresponding hazard ratios (HRs) were 2.769 (95% confidence interval (CI): 1.789–4.286, p < 0.001) for intervention, 2.166 (95% CI: 1.656–2.835, p < 0.001) for tumor diameter (cm), 5.128 (95% CI: 3.548–7.413, p < 0.001) for tumor number, and 1.871 (95% CI: 1.229–2.847, p = 0.003) for serum AFP.
Table 5

Correlation analysis of variables relevant to overall survival and recurrence-free survival.

Overall survival (months) Recurrence-free survival (months)
VariableRelated coefficient p valueRelated coefficient p value
Intervention −0.325<0.001 −0.312<0.001
Gender −0.0240.7350.0020.981
Tumor number$ −0.590<0.001−6.16<0.001
PLT −0.0560.437−0.0760.290
PT −0.0310.671−0.005 0.941
Hepatitis 0.0050.945−0.0090.900
AFP −0.1650.022 −0.2090.004
Cirrhosis −0.1790.012 −0.1230.087
Child-Pugh class −0.2060.004 −0.1640.023
Alcoholism 0.0500.489−0.0080.908
Tumor diameter$ −0.381<0.001−0.340<0.001
Tumor recurrence−0.2340.001
Age (years)# −0.0960.185−0.0590.414
ALT (μ/L)# 0.0780.2800.0870.226
AST (μ/L)# 0.0370.6120.0590.441
Tbi (μmol/L)# 0.0740.3050.0470.513
ALB (g/L)# 0.0720.3210.0470.517
Hb (g/L)# 0.0420.5590.0040.957

Spearman correlation coefficient; #Pearson correlation coefficient; $partial correlations: diameters/tumor number were controlled while tumor number/diameters were analyzed. ΔCorrelation is significant at the 0.01 level (2-tailed). ⋄Correlation is significant at the 0.01 level (2-tailed). PLT: platelet; PT: prothrombin time; AFP: α-fetoprotein; ALT: alanine aminotransferase; AST: aspartate aminotransferase; Tbil: total bilirubin; ALB: albumin; Hb: hemoglobin.

By univariate analysis, the factors associated with RFS were intervention, tumor number, serum AFP, Child-Pugh class, and tumor recurrence. However, by multivariate analysis, Child-Pugh class was not associated with RFS while tumor diameter was. The corresponding HRs for intervention, tumor number, tumor diameter, and serum AFP were 1.933 (95% CI: 1.340–1.789, p < 0.001), 3.903 (95% CI: 2.819–5.404, p < 0.001), 1.411 (95% CI: 1.132–1.759, p = 0.002), and 1.474 (95% CI: 1.023–2.126, p = 0.038), respectively. Further details are provided in Tables 6 and 7.
Table 6

Univariate and multivariate analyses for overall survival.

Variables Univariate analysis Multivariate analysis
Score p valueHR (95% CI) p value
Survival
Intervention (RFA versus SR)14.118<0.0012.769 (1.789–4.286)<0.001
Hepatitis virus infection6.7980.079
 HBV6.5980.010
 HCV2.4210.120
 Both HBV and HCV0.5310.466
Liver cirrhosis1.9680.161
Diameter (cm)2.9470.0862.166 (1.656–2.835)<0.001
Tumor number61.910<0.0015.128 (3.548–7.413)<0.001
AFP (≥400 μg/L versus <400 μg/L)10.1570.0011.871 (1.229–2.847)0.003
Child-Pugh (B versus A)5.2010.023

HR: hazard ratio; SR: three-divisional visualization system-guided surgical resection; RFA: radiofrequency ablation; HBV: hepatitis B virus; HCV: hepatitis B virus; AFP: α-fetoprotein.

Table 7

Univariate and multivariate analyses for recurrence-free survival.

Variables Univariate analysis Multivariate analysis
Score p valueHR (95% CI) p value
Intervention (RFA versus SR)12.264<0.0011.933 (1.340–1.789)<0.001
Hepatitis virus infection5.8020.122
 HBV3.5230.061
 HCV3.7280.053
 Both HBV and HCV0.2840.594
Liver cirrhosis1.5860.208
Diameter (cm)0.0660.7981.411 (1.132–1.759)0.002
Tumor number78.531<0.0013.903 (2.819–5.404)<0.001
AFP (≥400 μg/L versus <400 μg/L)7.1460.0081.474 (1.023–2.126)0.038
Child-Pugh (B versus A)3.8650.049

HR: hazard ratio; SR: three-divisional visualization system-guided surgical resection; RFA: radiofrequency ablation; HBV: hepatitis B virus; HCV: hepatitis B virus; AFP: α-fetoprotein.

4. Discussion

HCC is the sixth most common malignancy and the second leading cause of cancer associated death globally [1, 12]. Liver transplantation, RFA, and liver resection are recommended curative methods for HCC by the European Association for the Study of the Liver, European Organization for Research and Treatment of Cancer, and the American Association for the Study of Liver Diseases guidelines [4, 9]. However, SR remains to be the preferred treatment for HCC because of donor scarcity, especially in Asian countries [2, 7]. Tumor number and size and underlying disease as well as venous and/or artery variations play an important role in treatment decisions, especially in patients with combined cirrhosis [13], for whom more remnant volume should be reserved to ensure the safety of the surgery. Severe surgery-related complications such as liver dysfunction and bile leakage are closely associated with improper management of the intrahepatic vessels during the operation [14]. Comprehensive understanding of the tumor characteristics and adjacent structures is critical for successful patient management [11, 15, 16]. Developments in computer science and its integration with medical imaging technology offer a novel opportunity to reduce these adverse events by visualizing the intrahepatic vessels and optimizing resection schemes on individual 3D models. The application of MI-3DVS in observing the origin, bifurcations, and anatomical variations of blood vessels and the relationship between the tumor and crucial surrounding structures have been described previously [17-20]. This technology plays an important role in volumetric analysis and characterizing the anatomical features of hepatolithiasis, liver cancer, and pancreatic disease [7, 8, 17, 21]. In other words, major drawbacks of conventional hepatectomy, such as compromised liver function and high incidence of complications could be overcome or at least minimized through adequate preservation of liver parenchyma and comprehensive preoperative evaluation. The present study showed that sHCC patients who meet the Milan criteria could benefit more from MI-3DVS-guided SR than RFA in terms of better survival and lower recurrence rate. The results of our study showed that patients who underwent SR experienced longer hospital stay than those who received RFA. Consistent with previous studies [22-25], the incidence of procedure-related complications as well as the rate of serve complications in the SR group was significantly higher than that in the RFA group. Interestingly, the incidence of procedure-related severe adverse events (grade III-IV) in the present study, such as bile leakage, postoperative hemorrhage hydrothorax, and hepatic failure, was much lower than that reported in patients who underwent conventional hepatectomy for HCC in a randomized prospective clinical trial (3/92 versus 13/100, resp.) [26]. This difference may be explained by the fact that the MI-3DVS allows preoperative planning. The 3D model of the MI-3DVS facilitates the localization of lesions and identification of crucial anatomical relationships with adjacent vessels that lead to an accurate and fluent procedure. Furthermore, the shortcomings of CT and/or MRI images, which are used as a guide for conventional hepatectomy, can be overcome with more intuitive and multidirectional anatomical information provided by the MI-3DVS. Therefore, the incidence of postoperative complications could be minimized with more parenchyma reservation, less hepatic blood occlusion, and shorter operative duration. After recurrence was diagnosed, although suitable treatments such as RFA, TACE, second hepatectomy, PEI, and sorafenib were suggested, more than 20% of patients in each group rejected additional intervention. The 5-year OS and RFS were 61.1% and 40.2% in the SR group and 39.5% and 22.3% in the RFA group, respectively. It has been reported that the 5-year OS was 60–80% in patients who underwent liver resection [26-28] and 40–70% in those who received RFA [28, 29]. The results of OS in patients who underwent MI-3DVS-guided SR in the present study were consistent with these randomized prospective trials on conventional liver resection. HCC disseminates through portal and hepatic veins and spreads in the same liver segments [30, 31]. Therefore, anatomical hepatectomy has been widely accepted by surgeons because safe resection margins for HCC can be achieved (theoretically, 1-2 cm outside the tumor margin), eliminating both primary lesions and microdisseminations simultaneously [32]. A prospective study with a larger sample size will be performed to compare the benefits of MI-3DVS-guided hepatectomy and conventional resection. For RFA, repeat insertions and ablations are needed for larger tumors. Secondly, the procedure depends greatly on the guidance of 2-dimensional ultrasonography to obtain an ideal ablative area in a 3-dimensional level. Furthermore, the invasiveness and proliferation ability of the tumor cells at the periphery may be accelerated if RFA is incomplete [33]. Thus, the advantage of MI-3DVS-guided liver resection over RFA for small HCC could be the result of a more successful eradication. The RFS of the RFA group in the present study was similar to that reported in previous clinical trials [26, 27] and lower than that reported in two larger sample size and multicenter retrospective studies. This disadvantage may have been caused by the higher number of patients with multifocal HCC (34/102 versus 183/1305) [34] and those with serum AFP ≥ 400 μg/L (42/102 versus 34/319) [35] in the present study. Additionally, the poor access to adequate treatment facilities caused by the lower income level than that of developed countries could also be a reason for this difference to some extent [36]. As multiple lesions exist in cases of solitary HCC ≤ 3 cm only according to the Milan criteria, we divided the patients into three subgroups in which both tumor number and size were considered (solitary HCC ≤ 3 cm, solitary HCC > 3 cm and ≤5 cm, and multiple lesions) when survival analysis was performed rather than dividing the patients according to tumor number or diameter only. At the same time, this grouping method was adequate considering the superiority of RFA in ablating lesions no more than 3 cm in diameter [37]. The results of survival analysis between subgroups demonstrated that patients benefit more from hepatectomy than from RFA except for OS in older patients (aged > 60 years) and RFS in patients with multiple lesions and Child-Pugh class B and in older patients (aged > 60 years). Thus, RFA may be more suitable for older patients [29]. Factors associated with OS in bilateral correlation analysis were intervention, tumor number, tumor diameter, serum AFP, liver cirrhosis, Child-Pugh class, and tumor recurrence. Corresponding parameters associated with RFS were intervention, tumor number, tumor diameter, serum AFP, and Child-Pugh class. Recently, a study suggested that hepatitis virus was an independent prognostic factor in HCC patients [34]. Hence, we included hepatitis virus infection as a potential factor associated with prognosis when Cox regression analyses were performed, although there was no significant correlation between hepatitis and survival in the correlation analysis. The final Cox hazards model of our study demonstrated that independent predictive parameters for both OS and RFS were intervention, tumor number, and serum AFP. Resent publications indicated that older age and liver cirrhosis were risk factors associated with OS [34, 38, 39]. This difference could have been caused by the relatively small sample size as well as the epidemiologic characteristics in the current study. The present study has some limitations. First, the presents study is limited by the retrospective study design, and the significance of the findings is not as strong as that provided by prospective studies or other study designs [40, 41]. Second, some patients received additional therapies such as RFA, TACE, and sorafenib because of tumor recurrence after initial treatment during the follow-up period. Thus, the OS may be cofounded to some extent by the availability of adequate medical services, although there was no significant difference between the two groups, especially for the subjects with lower income who tend to request RFA. Third, the comparison of long-term outcomes of MI-3DVS-guided hepatectomy and conventional liver resection was not assessed in the present study because a larger sample size was needed. Finally, some commonly accepted parameters associated with poor survival, such as histological differentiation and tumor staging, were not analyzed because not enough data were available in the RFA group.

5. Conclusion

MI-3DVS-guided hepatectomy should be considered as the primary treatment for HCC patients with multifocal disease, higher AFP level, and preserved liver function within the Milan criteria. However, for older candidates, RFA can be considered as an alternative therapy, as it could lead to comparable survival but shorter hospital stay and lower incidence of complications. Intervention, tumor number, and serum AFP are important and independent prognostic predictors of both survival and recurrence.
  40 in total

1.  Outcomes of hepatectomy for hepatolithiasis based on 3-dimensional reconstruction technique.

Authors:  Chi-hua Fang; Jun Liu; Ying-fang Fan; Jian Yang; Nan Xiang; Ning Zeng
Journal:  J Am Coll Surg       Date:  2013-08       Impact factor: 6.113

2.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

Authors:  R B D'Agostino
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

Review 3.  Management of hepatocellular carcinoma in Asia: consensus statement from the Asian Oncology Summit 2009.

Authors:  Donald Poon; Benjamin O Anderson; Li-Tzong Chen; Koichi Tanaka; Wan Yee Lau; Eric Van Cutsem; Harjit Singh; Wan Cheng Chow; London Lucien Ooi; Pierce Chow; Maung Win Khin; Wen Hsin Koo
Journal:  Lancet Oncol       Date:  2009-11       Impact factor: 41.316

4.  To assess the benefits of medical image three-dimensional visualization system assisted pancreaticoduodenctomy for patients with hepatic artery variance.

Authors:  Jian Yang; Chi-Hua Fang; Ying-Fang Fan; Nan Xiang; Jun Liu; Wen Zhu; Su-Su Bao; Huai-Zhi Wang
Journal:  Int J Med Robot       Date:  2014-04-08       Impact factor: 2.547

5.  A new approach for evaluating the resectability of pancreatic and periampullary neoplasms.

Authors:  Chi-hua Fang; Wen Zhu; Huaizhi Wang; Nan Xiang; Yingfang Fan; Jian Yang; Xiaojun Wang; Shi zheng Zhong
Journal:  Pancreatology       Date:  2012-05-24       Impact factor: 3.996

6.  Intrahepatic metastases in hepatocellular carcinoma: evidence for spread via the portal vein as an efferent vessel.

Authors:  A Toyosaka; E Okamoto; M Mitsunobu; T Oriyama; N Nakao; K Miura
Journal:  Am J Gastroenterol       Date:  1996-08       Impact factor: 10.864

7.  Microsatellite distribution and indication for locoregional therapy in small hepatocellular carcinoma.

Authors:  Atsushi Sasaki; Seiichiro Kai; Yukio Iwashita; Seitaro Hirano; Masayuki Ohta; Seigo Kitano
Journal:  Cancer       Date:  2005-01-15       Impact factor: 6.860

8.  Long-term effectiveness of resection and radiofrequency ablation for single hepatocellular carcinoma ≤3 cm. Results of a multicenter Italian survey.

Authors:  Maurizio Pompili; Antonio Saviano; Nicoletta de Matthaeis; Alessandro Cucchetti; Francesco Ardito; Bruno Federico; Franco Brunello; Antonio D Pinna; Antonio Giorgio; Stefano M Giulini; Ilario De Sio; Guido Torzilli; Fabio Fornari; Lorenzo Capussotti; Alfredo Guglielmi; Fabio Piscaglia; Luca Aldrighetti; Eugenio Caturelli; Fulvio Calise; Gennaro Nuzzo; Gian Ludovico Rapaccini; Felice Giuliante
Journal:  J Hepatol       Date:  2013-03-22       Impact factor: 25.083

9.  Management of hepatocellular carcinoma: an update.

Authors:  Jordi Bruix; Morris Sherman
Journal:  Hepatology       Date:  2011-03       Impact factor: 17.425

10.  Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies.

Authors:  Peter C Austin
Journal:  Pharm Stat       Date:  2011 Mar-Apr       Impact factor: 1.894

View more
  3 in total

1.  Retracted: A Comparison between Three-Dimensional Visualization Guided Hepatectomy and Ultrasonography Guided Radiofrequency Ablation in the Treatment of Small Hepatocellular Carcinoma within the Milan Criteria.

Authors:  BioMed Research International
Journal:  Biomed Res Int       Date:  2017-06-07       Impact factor: 3.411

Review 2.  Efficacy and safety of various primary treatment strategies for very early and early hepatocellular carcinoma: a network meta-analysis.

Authors:  Sha Yang; Huapeng Lin; Jianning Song
Journal:  Cancer Cell Int       Date:  2021-12-19       Impact factor: 5.722

3.  Liver resection versus radiofrequency ablation for hepatitis B virus-related small hepatocellular carcinoma.

Authors:  Bin Liang; Siyang Yao; Jiapeng Zhou; Zongkui Li; Tianqi Liu
Journal:  J Hepatocell Carcinoma       Date:  2018-01-12
  3 in total

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