Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Oct 13.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2012 Feb 28;21(5):793–799. doi: 10.1158/1055-9965.EPI-11-1005

Effectiveness of Hepatocellular Carcinoma Surveillance in Patients with Cirrhosis

Amit G Singal 1, Hari S Conjeevaram 2, Michael L Volk 2, Sherry Fu 2, Robert J Fontana 2, Fred Askari 2, Grace L Su 2, Anna S Lok 2, Jorge A Marrero 2
PMCID: PMC5640437  NIHMSID: NIHMS412540  PMID: 22374994

Abstract

Background

Surveillance for hepatocellular carcinoma (HCC) is recommended in patients with cirrhosis, but the effectiveness of a surveillance program in clinical practice has yet to be established.

Aims

To evaluate the effectiveness of a surveillance program with ultrasound and alpha-fetoprotein (AFP) to detect early HCCs.

Methods

Four hundred and forty-six patients with Child A/B cirrhosis were prospectively enrolled between January 2004 and September 2006 and followed until July 2010. HCC surveillance using ultrasound and AFP was conducted per the treating hepatologist, although the standard was every 6 to 12 months. HCC was diagnosed using American Association for the Study of Liver Disease (AASLD) guidelines and early HCC defined by Barcelona Clinic Liver Cancer (BCLC) staging. Performance characteristics were determined for surveillance using AFP, ultrasound, or the combination.

Results

After a median follow-up of 3.5 years, 41 patients developed HCCs, of whom 30 (73.2%) had early HCCs. The annual incidence of HCC was 2.8%, with cumulative 3- and 5-year incidence rates of 5.7% and 9.1%, respectively. Surveillance ultrasound and AFP had sensitivities of 44% and 66% and specificities of 92% and 91%, respectively, for the detection of HCCs. Sensitivity significantly improved to 90%, with minimal loss in specificity (83%) when these tests were used in combination.

Conclusions

When used as a surveillance program in a real-world clinical setting, combination of ultrasound and AFP is the most effective strategy to detect HCC at an early stage.

Impact

Our results differ from the guidelines of the AASLD.

Introduction

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide and has an increasing incidence in the United States (1). Its incidence is expected to continue increasing over the next 20 years due to the current epidemic of advanced fatty liver disease and hepatitis C virus (HCV) cases (1). The prognosis for patients with HCC largely depends on tumor stage at the time of diagnosis. Patients with early HCCs, defined as one nodule less than 5 cm or 3 nodules each less than 3 cm in diameter, can achieve 5-year survival rates near 70% with surgical resection or liver transplantation (2, 3). These survival rates are in contrast to an average survival of less than 1 year for patients with advanced HCCs (4).

Surveillance using ultrasound with or without alpha-fetoprotein (AFP) at 6- to 12-month intervals strives to detect HCCs at an early stage when it is amenable to curative therapy (5) and is recommended in high-risk populations (6). A recent meta-analysis of prospective cohort studies found that HCC surveillance using a combination of ultrasound and AFP was highly efficacious, with a pooled sensitivity of 69% to find HCCs at an early stage (7). However, its effectiveness in clinical practice may be impacted by several factors, including low utilization rates among at-risk patients (8, 9).

When implemented in clinical practice, HCC surveillance is a complex process requiring multiple components: (i) providers identify appropriate at-risk patients, (ii) providers refer patients for surveillance, (iii) patients understand and accept the tests, (iv) the health care system schedules the tests, and (v) patients comply with surveillance recommendations (10). The benefits of surveillance tests can often be reduced because of patient-level (e.g., socioeconomic status and insurance), physician-level (e.g., knowledge of guidelines), and system-level factors (e.g., availability of surveillance tests; ref. 11). Given this potential discrepancy between an intervention’s efficacy (the effect under carefully controlled conditions) and effectiveness (the effect when implemented in real-world settings), there has been increasing emphasis on comparative effectiveness research to improve delivery of care (9, 12). Accordingly, the NIH recently included the evaluation of real-world outcomes of health care interventions in liver disease as a priority area for future research.

Although the most recent American Association for the Study of Liver Disease (AASLD) guidelines recommend using ultrasound alone for HCC surveillance, the optimal surveillance method (ultrasound, AFP, or combination) in clinical practice has not been determined (7, 13, 14). A significant amount of data exists supporting the use of AFP in HCC surveillance (13). Furthermore, we hypothesized that the gap between efficacy and effectiveness might be smaller for AFP than ultrasound because of the ease of obtaining a blood test. Therefore, the aim of our study was to determine the effectiveness of a surveillance strategy with ultrasound and AFP to detect HCCs at an early stage in a real-world clinical setting.

Methods

Patients

Between January 2004 and September 2006, consecutive patients with cirrhosis were prospectively identified and entered into a surveillance program using ultrasound and AFP. The diagnosis of cirrhosis was based on histology or imaging showing a cirrhotic-appearing liver with associated signs of portal hypertension including splenomegaly, varices, or thrombocytopenia. Patients were enrolled from the University of Michigan (Ann Arbor, MI) General Hepatology or Liver Transplant outpatient clinics if they had Child-Pugh class A or B cirrhosis and absence of known HCC at the time of initial evaluation. Absence of HCC was determined by imaging lacking any suspicious appearing masses within 6 months of enrollment. Patients with an AFP level greater than 20 ng/mL at enrollment were only included if computed tomography (CT) or MRI confirmed the absence of any suspicious masses within 3 months of enrollment. Other exclusion criteria included clinical evidence of significant hepatic decompensation (refractory ascites, grade III–IV encephalopathy, active variceal bleeding, or hepatorenal syndrome), co-morbid medical conditions with a life expectancy of less than 1 year, prior solid organ transplant, and a known extrahepatic primary tumor. This study protocol was approved by the Institutional Review Board at the University of Michigan, and informed consent was obtained in writing from each patient.

The following demographic and clinical data were collected at enrollment: age, gender, race, weight, height, lifetime alcohol use, and lifetime tobacco use. Data about their liver disease included the underlying etiology, degree of ascites, presence of encephalopathy, and presence of esophageal or gastric varices. Laboratory data of interest at the time of enrollment included complete blood count (CBC), creatinine, aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase, bilirubin, albumin, international normalized ratio (INR), and AFP.

Patients were classified according to the etiology of liver disease, including HCV (presence of HCV antibody or RNA in serum), hepatitis B (presence of hepatitis B surface antigen in serum), alcohol-related liver disease (history of alcohol intake >40 g/d for at least 10 years), others (including hereditary hemochromatosis, primary sclerosing cholangitis, primary biliary cirrhosis, and autoimmune hepatitis), and cryptogenic cirrhosis (negative work-up for all of the above etiologies).

Follow-up and detection of HCC

Patients underwent evaluation every 6 months by physical examination, routine biochemical tests (including CBC, creatinine, albumin, AST, ALT, alkaline phosphatase, bilirubin, and INR), ultrasound, and AFP. Although all enrolled patients were prospectively followed, patients were managed as deemed appropriate by their hepatologist and not a strict study protocol. Importantly, patients were not reminded by study personnel to have screening done. Thus, while the accepted standard was ultrasound and AFP every 6 to 12 months, this did not happen in every patient for various reasons as described in the introduction. Patients were categorized as receiving consistent surveillance (ultrasound with or without AFP done at least annually), inconsistent surveillance (ultrasound or AFP done at a frequency of greater than 1 year but less than 2 years), or no surveillance (no surveillance test for more than 2 years). If an AFP level was elevated or mass lesion was seen on ultrasound, the usual practice was to conduct triple-phase CT or MRI to evaluate the presence of HCCs as recommended by AASLD guidelines. For study purposes, patients were followed until the time of HCC diagnosis, liver transplantation, death, or until the study was terminated on July 31, 2010. HCC cases diagnosed within the first 6 months of enrollment (prevalent cases) were excluded. Patients lost to followup were censored at the time of their last clinic visit. The Social Security Death File and the State of Michigan Death Records were used to ascertain date of deaths for patients.

HCC was diagnosed using AASLD guidelines, and the Barcelona Clinic Liver Cancer (BCLC) system was used for tumor staging (6). For tumors greater than 2 cm in size, the diagnosis was made by the presence of a typical vascular pattern on dynamic imaging (arterial enhancement and washout on delayed images) or an AFP level greater than 200 ng/mL. For tumors with a maximum diameter of 1 to 2 cm, the diagnosis was made by the presence of a typical vascular pattern on 2 dynamic imaging studies or histology. All cases of HCCs were adjudicated by 2 authors (A.G. Singal and J.A. Marrero) to confirm that they met diagnostic criteria and to determine tumor stage at the time of diagnosis.

Statistical analysis

The cumulative probability of HCC development was determined by competing risk analysis, with transplantation and death being considered as competing outcomes. Patients who were lost to follow-up were right censored. We assessed the performance characteristics of AFP and of ultrasound for the detection of HCCs. For each test, sensitivity and specificity for each test were calculated on a per-patient basis. Patients with an AFP level greater than 20 ng/mL or mass lesion on ultrasound without subsequent HCC confirmed on triple-phase CT or MRI were recorded as a “false positive” test. Patients who were alive at the end of follow-up without developing HCC or undergoing liver transplantation were followed for at least an additional 6 months to confirm the absence of HCC. Univariate regression analysis using Mann–Whitney rank-sum and χ2 tests was conducted to identify factors associated with ultrasound’s and AFP’s sensitivity and specificity for the detection of HCCs. Data analysis was conducted using Stata 10.

Results

Patient characteristics

Between January 2004 and September 2006, 446 patients with cirrhosis were identified and prospectively followed. Four patients were discovered to have prevalent tumors within 6 months of enrollment and were excluded. Baseline characteristics of the remaining 442 patients are shown in Table 1. The median age of patients was 52.8 years (range, 23.6–82.4 years). More than 90% of the patients were Caucasian and 58.6% were men. The most common etiologies of cirrhosis were HCV (47.3%), cryptogenic (19.2%), and alcohol-induced liver disease (14.5%). A total of 42.9% patients were Child Pugh class A and 52.5% were Child Pugh class B. Median Child Pugh and MELD (Model for End-Stage Liver Disease) scores at enrollment were 7 and 9, respectively. Median baseline AFP level was 5.9 ng/mL in patients who developed HCC, which was significantly higher than the median baseline AFP of 3.7 ng/mL in patients who did not develop HCC during follow-up (P < 0.01).

Table 1.

Baseline patient characteristics

Patient characteristics All patients
(N = 442)
Age, y 52.8 (23.6–82.4)
Gender (% male) 259 (58.6%)
Race, n (%)
 Caucasian 403 (93.3)
 Black 13 (3.0)
 Hispanic 8 (1.9)
BMI, kg/m2 28.8 (17.0–68.6)
Etiology, n (%)
 Hepatitis C 209 (47.3)
 Hepatitis B 18 (4.1)
 Alcohol 64 (14.5)
 Cryptogenic 85 (19.2)
 Other 66 (14.9)
Esophageal varices, n (%)
 None 101 (27.4)
 Grade I 102 (27.6)
 Grade II–III 166 (45.0)
Presence of ascites, n (%) 268 (60.6)
Presence of hepatic
 encephalopathy, n (%)
149 (33.7)
Platelet count (×1,000/mm3) 97 (20–426)
Bilirubin, mg/dL 1.2 (0.2–10.3)
Albumin, g/dL 3.4 (1.5–5.2)
INR 1.2 (0.9–2.1)
AFP, ng/mL 3.9 (0.6–238.3)
MELD 9 (6–17)
Child Pugh score 7 (5–11)
Child Pugh, n (%)
 Child A 189 (42.9)
 Child B 231 (52.5)
 Child C 20 (4.6)

NOTE: All continuous data expressed as median (range) unless otherwise specified

Abbreviation: BMI, body mass index.

Surveillance utilization

The median follow-up of the cohort was 3.5 years (range, 0.6–6.6 years). Follow-up was conducted for at least 1 year in 392 (88.7%) patients, whereas 50 patients were followed for less than 1 year. Of the 442 patients in the final cohort, 69 (15.6%) were lost to follow-up before the study being terminated on July 31, 2010. During the 1,454 patient-years of follow-up, 1,555 AFP levels and 1,238 ultrasounds were conducted. Consistent surveillance was conducted in 271 (61.3%) patients, whereas 107 (24.2%) patients received inconsistent surveillance and 64 (14.5%) patients received no surveillance. The consistency of surveillance was similar among those lost to follow-up (P = 0.70). Of the patients lost to follow-up, 45 (65.2%) had consistent surveillance, 14 (20.3%) received inconsistent surveillance, and 10 (14.5%) patients received no surveillance. The percentage of tumors diagnosed at an early stage was not significantly different between patients who received consistent surveillance and those who received inconsistent surveillance (75% vs. 60%, P = 0.48), although we may have been underpowered to detect a difference.

Incidence of HCC

Over the 1,454 person-year follow-up period, 41 patients developed HCC for an annual incidence of 2.8%. The cumulative 3- and 5-year probabilities of HCC development were 5.7% and 9.1%, respectively, based on the competing risk model (Fig. 1). The time from study enrollment to development of HCC ranged from 0.5 to 5.9 years. The diagnosis of HCC was made by imaging showing an arterially enhancing lesion with delayed washout in 33 patients, histologic confirmation in 6 patients, and as an incidental finding at the time of transplantation in 2 cases. Of the 41 patients who developed HCCs, 4 tumors were classified as very early (Barcelona stage 0) and 19 were classified as early-stage (Barcelona stage A). Seven patients had intermediate-stage (BCLC B) tumors and 3 had advanced-stage (BCLC C) tumors. Eight patients had BCLC stage D tumors related to the presence of Child C cirrhosis at the time of diagnosis (Table 2).

Figure 1.

Figure 1

Cumulative incidence of HCC for all patients.

Table 2.

Characteristics of patients with HCC

Number
nodules
Maximum
diameter,
cm
Portal vein
thrombus
Extrahepatic
spread
BCLC
stage
Surveillance
AFP level
Surveillance
ultrasound
results
1 3.2 None No A 54.3
1 2.5 None No Da 22.9 +
1 2.5 None No A 11.3 +
7 3.2 None No B 48.4 Not done
1 1.4 None No A 6.4 Not done
1 1.8 None No Da 3.8 b
2 2.8 Bland No A 2.3 +
1 2.3 None No A 73.0 Not done
4 2.4 Bland No B 25.8
2 1.1 None No A 16.4 Not done
1 3 None No Da 13.6
1 2.2 None No Da 27.7 +
1 2.1 None No A 37.8 Not done
2 2.8 None No A 23.5
2 2.3 None No A 5.3 +
2 3.8 None No B 4.3 +
1 1.5 None No Da 42.2
1 2.8 None No A 2.2 +
3 2.2 Bland No A 1,442.9 +
2 13.7 Tumor Yes C 635 Not done
1 2.1 None No A 42.1 Not done
1 3.2 None No A 5.1 +
1 2.0 None No A 69.7 Not done
1 1.7 None No A 2.4 b
2 3.2 None No B 35.4 +
3 4.2 Tumor Yes C 30.0
3 1.8 None No A 33.2 +
4 1.4 None No Da 3.0 +
1 2.1 None No A 11.1
1 3.1 None No Da 2.6 b
2 3.6 None No B 404.9 +
1 2.6 None No A 20.0 +
2 1.4 Tumor Yes C 3.1 +
1 3.2 None No A 24.0 +
2 4.6 None No B 277.7 Not done
2 0.6 None No Da 2.2 b
3 1.5 None No A 15.7
2 2.0 None No A 203.9
2 5.2 None No B 36.8 Not done
1 1.7 None No A 10.1 +
1 1.7 None No A 3.2 +

NOTE: Usual practice was to conduct triple-phase CT or MRI in patients with an increasing AFP level greater than 20 ng/mL.

a

Tumors were staged as BCLC D given underlying Child C cirrhosis at the time of diagnosis

b

HCC was incidentally diagnosed at time of liver transplantation or when cross-sectional imaging was conducted to evaluate gastrointestinal symptoms (abdominal pain, nausea, and jaundice).

Effectiveness of ultrasound and AFP for HCC surveillance

The method of HCC detection during surveillance is recorded in Table 2. The per-patient sensitivity and specificity of ultrasound for the detection of HCC were 43.9% (18 of 41) and 91.5% (367 of 401), respectively (Table 3). When excluding the 10 patients without an ultrasound within 6 months of HCC diagnosis, the sensitivity of ultrasound was 58.1% (18 of 31). The positive and negative likelihood ratios of ultrasound were 5.2 and 0.61, respectively. False-positive ultrasounds led to 48 cross-sectional diagnostic imaging studies among 34 patients: 7 CT scans and 41 MRIs. The per-patient sensitivity and specificity of AFP were 65.9% (27 of 41) and 90.5% (363 of 401), respectively, for the detection of HCCs. The positive and negative likelihood ratios of AFP were 7.0 and 0.38, respectively. False-positive AFP tests led to 42 cross-sectional diagnostic imaging studies among 36 patients: 3 CT scans and 39 MRIs. Using ultrasound and AFP in combination increased the sensitivity of surveillance to 90.2% (37 of 41) with a specificity of 83.3% (334 of 401) for detecting HCCs. The sensitivity of the tests in combination was significantly higher than that of ultrasound alone (P < 0.001) and AFP alone (P = 0.02). The positive and negative likelihood ratios for ultrasound and AFP in combination were 5.4 and 0.12, respectively.

Table 3.

Performance characteristics of HCC surveillance tests

Test Sensitivity (%) Specificity (%) Positive
likelihood
ratio
Negative
likelihood
ratio
Sensitivity for
early-stage
HCCa (%)
AFP 27/41 (65.9) 363/401 (90.5) 7.0 0.38 19/41 (46.3)
Ultrasound 18/41 (43.9)b 367/401 (91.5) 5.2 0.61 13/41 (31.7)
Ultrasound and AFP 37/41 (90.2)b 334/401 (83.3) 5.4 0.12 26/41 (63.4)
a

Early-stage tumors were defined by the Milan criteria (one tumor <5 cm in maximum diameter or 3 tumors <3 cm each).

b

When excluding the 10 patients without an ultrasound within 6 months of HCC diagnosis, sensitivity of ultrasound alone was 58.1% (18 of 31) and sensitivity of combination ultrasound/AFP was 87.1% (27 of 31).

The sensitivity of ultrasound for detecting HCC was significantly associated with race (P = 0.04) and baseline MELD score (P = 0.03). Whereas 18 (50%) of the 36 Caucasian patients with HCCs had their tumors detected on surveillance ultrasound, all 5 non-Caucasian patients had their tumors missed by surveillance ultrasound. Patients with HCCs detected on ultrasound also had higher median MELD scores than those whose tumor was missed by surveillance ultrasound (11.5 vs. 9.0). The sensitivity of ultrasound was 60% in patients with an MELD score greater than 10, compared with only 18.8% in those with lower MELD scores. We did not identify any factors associated with the sensitivity of AFP for detecting HCCs, although this could have been because of limited statistical power.

The specificity for both ultrasound and AFP were both significantly associated with underlying hepatitis C liver disease. Whereas HCV etiology was associated with a higher specificity for surveillance ultrasound (94.6% vs. 89.0%, P = 0.04), it negatively impacted the specificity of AFP (83.7% vs. 97.2%, P < 0.001). The specificity for AFP was also associated with Caucasian race, with a specificity of 92.6% in Caucasians, compared with only 70.8% in non-Caucasians (P < 0.001).

Discussion

Our study is the first to evaluate the effectiveness of a surveillance program using ultrasound and AFP every 6 to 12 months among patients with cirrhosis in a real-world clinical setting. Ultrasound and AFP both had sensitivities near or below 65% for detecting HCC in a real-world setting, although this was increased to 90% when used in combination. The sensitivity of the tests in combination was significantly higher than that of ultrasound alone (P < 0.001) and AFP alone (P = 0.02), with a minimal loss in specificity. Had all patients undergone surveillance using ultrasound alone, this would have led to 13 (32%) diagnoses of HCC at early stage with 48 unnecessary CT or MRI scans due to false-positive results, whereas combination surveillance detected 26 (63%) HCCs at an early stage, with 90 unnecessary CT or MRI scans.

A recent meta-analysis of prospective cohort studies found that the pooled sensitivity of ultrasound to find early-stage HCCs was 63% when used alone and 69% when used in combination with AFP (7). In our cohort, the sensitivity of ultrasound for early-stage tumors was only 32%, which was significantly increased to 63% (P = 0.008) when used in combination with AFP. Only 8 patients had a positive ultrasound and elevated AFP before HCC diagnosis, with the majority only having one positive surveillance study. These results highlight the large discrepancy between the effectiveness of surveillance ultrasound and its reported efficacy in previously published prospective studies. Thus, although AFP may be of minimal benefit in prospective clinical trials, it appears to provide a greater benefit among patients in real-world clinical settings. A recent cost-effective analysis found that combination of ultrasound and AFP was the preferred strategy when the sensitivity of ultrasound fell below 65% (15). In contrast to current guideline recommendations (14), these results suggest that AFP should continue to be used in combination with ultrasound during HCC surveillance.

Several studies have suggested that the effectiveness of HCC surveillance may be impacted by low utilization rates among at-risk patients (8, 9, 16). Consistent surveillance was conducted in 60% of patients in our study, which is substantially higher than the 19% pooled surveillance rate from a recent meta-analysis (17). Despite these high surveillance utilization rates, 10 patients with HCCs did not have an ultrasound within 6 months of diagnosis. Although underutilization was a factor in determining the effectiveness of ultrasound, the sensitivity of ultrasound for HCC was still only 58% (18 of 31) when excluding the 10 patients without an ultrasound within 6 months of HCC diagnosis. Surveillance using a combination of ultrasound and AFP still had a significantly higher sensitivity for HCCs (P = 0.002).

One reason for the apparent gap between efficacy and effectiveness of ultrasound may be related to operator quality. In clinical trials, ultrasounds are often conducted by physicians or experienced ultrasonographers using standardized imaging protocols, but in real practice, these examinations are usually conducted by radiology technicians with limited medical knowledge (18). In addition, patients often obtain their ultrasounds in local community centers instead of at a single centralized tertiary care center, introducing more variability in operator experience and technique. Alternatively, this difference in sensitivity could also be related to differences in patient characteristics, as is seen with breast density for mammography (19). For HCC surveillance, the ability of ultrasound to accurately visualize the liver in patients with morbid obesity or a very nodular liver may be impaired (20). Upon exploratory regression analysis, we found that the sensitivity of ultrasound was associated with Caucasian race and higher MELD scores. Although we did not find any association with obesity and Child Pugh score, this may have been because of limited statistical power. Further research is necessary to better understand the impact of operator dependency and patient characteristics on the sensitivity of ultrasound to help improve its performance in detecting early-stage HCCs.

It is important to note that our study had several limitations. Our study was conducted in a single tertiary care center and may not be generalized to other practice settings. In addition, the performance characteristics of surveillance ultrasound likely vary by operator experience and center. Another limitation of our study is the fact that approximately 18% of the patients were lost to followup, although the median follow-up for these patients was 2.8 years and their survival status was verified through the social security death file. Furthermore, these patients had less advanced cirrhosis (lower Child Pugh class and MELD scores) and were less likely to develop hepatic decompensation, HCC, or death. Overall, we believe that the limitations of this study are outweighed by its notable strengths including its prospective enrollment, its large sample size, and its diverse population with both viral and nonviral liver disease. Most importantly, our study is one of the first to describe the real-world effectiveness of surveillance in a cohort of American patients with cirrhosis.

In conclusion, there is a large gap between the efficacy and effectiveness of ultrasound and AFP for HCC surveillance among patients with cirrhosis. Ultrasound and AFP are both suboptimal surveillance tools when used alone and should be used in combination to help maximize sensitivity for early-stage HCCs. Overall, an HCC surveillance program in patients with cirrhosis can be effective, detecting more than 70% of all tumors at an early stage.

Acknowledgments

Grant Support

This project was supported, in part, by grants DK 064909, DK077707, and KL2 RR024983-05.

Footnotes

Disclosure of Potential Conflicts of Interest

No potential conflicts of interests were disclosed.

Authors’ Contributions

Conception and design: R.J. Fontana, A.S. Lok, J.A. Marrero.

Development of methodology: J.A. Marrero.

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): H.S. Conjeevaram, F. Askari, G.L. Su, J.A. Marrero.

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): A.G. Singal, M.L. Volk, S. Fu, F. Askari, J.A. Marrero.

Writing, review, and/or revision of the manuscript: A.G. Singal. H.S. Conjeevaram, M.L. Volk, R.J. Fontana, F. Askari, G.L. Su, A.S. Lok, J.A. Marrero.

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): A.G. Singal, J.A. Marrero.

Study supervision: A.S. Lok, J.A. Marrero.

References

  • 1.El-Serag HB, Rudolph KL. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis. Gastroenterology. 2007;132:2557–76. doi: 10.1053/j.gastro.2007.04.061. [DOI] [PubMed] [Google Scholar]
  • 2.Llovet JM, Bruix J. Early diagnosis and treatment of hepatocellular carcinoma. Baillieres Best Pract Res Clin Gastroenterol. 2000;14:991–1008. doi: 10.1053/bega.2000.0143. [DOI] [PubMed] [Google Scholar]
  • 3.Ioannou GN, Perkins JD, Carithers RL., Jr Liver transplantation for hepatocellular carcinoma: impact of the MELD allocation system and predictors of survival. Gastroenterology. 2008;134:1342–51. doi: 10.1053/j.gastro.2008.02.013. [DOI] [PubMed] [Google Scholar]
  • 4.Llovet JM, Bustamante J, Castells A, Vilana R, Ayuso Mdel C, Sala M, et al. Natural history of untreated nonsurgical hepatocellular carcinoma: rationale for the design and evaluation of therapeutic trials. Hepatology. 1999;29:62–7. doi: 10.1002/hep.510290145. [DOI] [PubMed] [Google Scholar]
  • 5.Meissner HI, Smith RA, Rimer BK, Wilson KM, Rakowski W, Vernon SW, et al. Promoting cancer screening: learning from experience. Cancer. 2004;101(5 Suppl):1107–17. doi: 10.1002/cncr.20507. [DOI] [PubMed] [Google Scholar]
  • 6.Bruix J, Sherman M. Management of hepatocellular carcinoma. Hepatology. 2005;42:1208–36. doi: 10.1002/hep.20933. [DOI] [PubMed] [Google Scholar]
  • 7.Singal A, Volk ML, Waljee A, Salgia R, Higgins P, Rogers MA, et al. Meta-analysis: surveillance with ultrasound for early-stage hepatocellular carcinoma in patients with cirrhosis. Aliment Pharmacol Ther. 2009;30:37–47. doi: 10.1111/j.1365-2036.2009.04014.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Davila JA, Henderson L, Kramer JR, Kanwal F, Richardson PA, Duan Z, et al. Utilization of surveillance for hepatocellular carcinoma among hepatitis C virus-infected veterans in the United States. Ann Intern Med. 2011;154:85–93. doi: 10.7326/0003-4819-154-2-201101180-00006. [DOI] [PubMed] [Google Scholar]
  • 9.Davila JA, Morgan RO, Richardson PA, Du XL, McGlynn KA, El-Serag HB. Use of surveillance for hepatocellular carcinoma among patients with cirrhosis in the United States. Hepatology. 2010;52:132–41. doi: 10.1002/hep.23615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Zapka JG, Taplin SH, Solberg LI, Manos MM. A framework for improving the quality of cancer care: the case of breast and cervical cancer screening. Cancer Epidemiol Biomarkers Prev. 2003;12:4–13. [PubMed] [Google Scholar]
  • 11.Taplin SH, Rodgers AB. Toward improving the quality of cancer care: addressing the interfaces of primary and oncology-related subspecialty care. J Natl Cancer Inst Monogr. 2010;2010:3–10. doi: 10.1093/jncimonographs/lgq006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.El-Serag HB, Talwalkar J, Kim WR. Efficacy, effectiveness, and comparative effectiveness in liver disease. Hepatology. 2010;52:403–7. doi: 10.1002/hep.23819. [DOI] [PubMed] [Google Scholar]
  • 13.Marrero JA, El-Serag HB. Alpha-fetoprotein should be included in the hepatocellular carcinoma surveillance guidelines of the American Association for the Study of Liver Diseases. Hepatology. 2011;53:1060–1. doi: 10.1002/hep.24033. [DOI] [PubMed] [Google Scholar]
  • 14.Buix J, Sherman M. Management of hepatocellular carcinoma: an update. Hepatology. 2010;53:1–35. doi: 10.1002/hep.24199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Andersson KL, Salomon JA, Goldie SJ, Chung RT. Cost effectiveness of alternative surveillance strategies for hepatocellular carcinoma in patients with cirrhosis. Clin Gastroenterol Hepatol. 2008;6:1418–24. doi: 10.1016/j.cgh.2008.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Singal A, Volk M, Rakoski M, Fu S, Su G, McCurdy H, et al. Patient involvement is correlated with higher HCC surveillance in patients with cirrhosis. J Clin Gastroenterol. 2011;45:727–32. doi: 10.1097/MCG.0b013e31820989d3. [DOI] [PubMed] [Google Scholar]
  • 17.Singal AG, Yopp A, Skinner CS, Packer M, Lee WM, Tiro JA. Utilization of hepatocellular carcinoma surveillance among American patients: a systematic review. J. General Int Med. 2012 Jan 4; doi: 10.1007/s11606-011-1952-x. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Finberg HJ. Whither (wither?) the ultrasound specialist? J Ultrasound Med. 2004;23:1543–7. doi: 10.7863/jum.2004.23.12.1543. [DOI] [PubMed] [Google Scholar]
  • 19.Olsen AH, Bihrmann K, Jensen MB, Vejborg I, Lynge E. Breast density and outcome of mammography screening: a cohort study. Br J Cancer. 2009;100:1205–8. doi: 10.1038/sj.bjc.6604989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Marrero JA. Screening tests for hepatocellular carcinoma. Clin Liver Dis. 2005;9:235–51. vi. doi: 10.1016/j.cld.2004.12.006. [DOI] [PubMed] [Google Scholar]

RESOURCES