Kim and Choi: Current status of image-based surveillance in hepatocellular carcinoma


Although the overall prognosis of patients with hepatocellular carcinoma (HCC) remains poor, curative treatment may improve the survival of patients diagnosed at an early stage through surveillance. Accordingly, ultrasonography (US)-based HCC surveillance programs proposed in international society guidelines are now being implemented and regularly updated based on the latest evidence to improve their efficacy. Recently, other imaging modalities such as magnetic resonance imaging have shown potential as alternative surveillance tools based on individualized risk stratification. In this review article, we describe the current status of US-based surveillance for HCC and summarize the supporting evidence. We also discuss alternative surveillance imaging modalities that are currently being studied to validate their diagnostic performance and cost-effectiveness.


Primary liver cancer is the sixth most common cancer worldwide and the fourth most common cause of cancer death, with hepatocellular carcinoma (HCC) making up 75%-85% of all primary liver cancers [1,2]. The incidence of HCC has been rapidly rising in Western countries over the last 2 decades and is expected to continue to rise in the next decade [3,4]. However, the prognosis of patients with HCC is extremely poor, with a 5-year survival rate below 20% [5], except for the subset of patients who are diagnosed with early-stage HCC and are eligible for curative treatments such as surgical resection, local ablation, and liver transplantation [6]. Unlike other cancers, treatment of any but the earliest stages of HCC is usually ineffective [7]. Early detection of HCC amenable to curative treatments is therefore invaluable because it could lead to favorable survival and ultimately reduce disease-related mortality. In this regard, HCC surveillance programs are now being implemented and regularly updated based on the latest evidence to improve their efficacy. Understanding the essentials of HCC surveillance is crucial for the improvement of patient outcomes. In this article, we summarize the current status of image-based surveillance for HCC, present the supporting evidence, and discuss alternative imaging modalities that can be used as surveillance tools.

Rationales for Surveillance

The objective of HCC surveillance is to reduce HCC-related mortality. A large-scale randomized controlled trial validated the efficacy of surveillance for HCC (ultrasonography [US] and measurement of α -fetoprotein [AFP] levels every 6 months) in 18,816 at-risk patients with hepatitis B virus (HBV) infection, irrespective of the presence of cirrhosis [8]. The results showed a 37% reduction in HCC-related mortality for those who underwent surveillance despite suboptimal adherence to the surveillance program (58.2%). Several lower-evidence cohort studies and meta-analyses have reinforced the benefits of surveillance in patients with cirrhosis in that surveillance detected more cases of early-stage HCC, provided a higher rate of curative treatments, and led to better survival than in the nosurveillance group [9-15]. In addition, several studies have controlled for lead-time bias, which is an inevitable methodological bias of cohort studies [16,17]. A meta-analysis by Singal et al. [15] reported that HCC surveillance was still associated with a significant improvement in survival after adjusting for lead-time bias (3-year survival rates of 39.7% for surveillance vs. 29.1% for non-surveillance, P<0.001). No randomized trials have been conducted in populations with other etiologies, including chronic hepatitis C virus (HCV) or steatohepatitis; thus, controversy remains regarding whether surveillance truly leads to a reduction in mortality in these populations, especially in Western countries where HBV infection is not common.
Several studies have investigated the benefits of HCC surveillance regarding cost-effectiveness and found that surveillance with US alone or in association with AFP, was generally a cost-effective strategy [18-25]. The cost-effectiveness of surveillance is largely dependent on the annual risk of HCC since the cost for a detected tumor is inversely proportional to the tumor incidence. Several studies have demonstrated that HCC surveillance should be offered for patients with cirrhosis of varying etiologies when the risk of HCC is 1.5% per year or greater [18,22,26]. However, in population-based surveillance with an HCC incidence lower than 1.5%, the low cost-effectiveness of surveillance is counter-balanced by the high numbers of the target population with preserved liver function who are more likely to receive curative treatments. Therefore, surveillance is deemed cost-effective if the expected HCC risk exceeds 0.2% per year in patients with HBV [27]. Given those findings, patients with liver cirrhosis of all etiologies or chronic HBV infection are the main target population for surveillance as an at-risk group for HCC, with the exception of Child-Pugh Class C patients in the context of the limited availability of liver transplantation.

Current Consensus on HCC Surveillance

Several international guidelines endorsed by major scientific societies have been published to establish a common standardized approach for the management of HCC [26,28-32]. There are slight differences in these guidelines in terms of target populations, surveillance tests, and surveillance intervals (Table 1) [33].

Target Population

The prevalence of cirrhosis among patients with HCC has been estimated to be 85%-95%, and the HCC incidence rate among patients with cirrhosis has been shown to be 2%-4% per year [3,34,35]. Accordingly, patients with cirrhosis of any cause are defined as the target population in all guidelines, except for the Asian Pacific Association for the Study of the Liver (APASL) guideline [32], in which the targets are limited to cirrhosis with HBV or HCV. In the Japanese Society of Hepatology (JSH) guideline [31], patients with cirrhosis and HBV or HCV are further stratified into an extremely high-risk population for HCC. Patients with HBV who do not have cirrhosis are recommended for surveillance in most guidelines, except for the APASL guideline, because of their high risk for HCC [32]. Numerous other factors are associated with HCC risk, such as non-cirrhotic fatty liver disease, older age, male sex, and diabetes mellitus. However, since these risk factors do not elevate the risk of HCC sufficiently to justify routine surveillance and the cost-effectiveness is thought to be low, surveillance is not formally recommended in patients with these risk factors.

Surveillance Tests

Currently, US is the standard surveillance modality and is acknowledged as the most appropriate imaging modality for HCC surveillance according to all international guidelines [26,28-32]. The widespread use of US could be attributed to its absence of risks, non-invasiveness, accessibility, cost-effectiveness, and capacity to detect the onset of other complications of cirrhosis early (Table 2). However, the sensitivity of US in surveillance settings is suboptimal despite its high specificity (around 90%) [36,37]. According to a meta-analysis by Singal et al. [14], the pooled sensitivity of US for detecting HCC at any stage was 94%, but it was only 63% for detecting early-stage HCC. In agreement with those results, another recent meta-analysis of 32 studies by Tzartzeva et al. [38] reported that the pooled sensitivity of US was 84% for HCC at any stage, but 47% for early HCC. Of note, there was a wide range in sensitivity for early HCC detection (from 21% to 91%), as well as considerable heterogeneity between studies (I2=87%-94%) [14,38]. These results might imply a substantial inconsistency in the application of US surveillance; thus, there is a need to standardize the terminology, interpretation, and reporting of US results in surveillance settings. Motivated by this need, American College of Radiology developed the US Liver Imaging Reporting and Data System (LI-RADS) algorithm in 2017 [28]. The US LI-RADS recommends assigning two scores: a US category from 1 to 3, which determines the need for follow-up, and a visualization score from A to C, which is used to communicate the expected level of sensitivity of the examination (Fig. 1). The US category is assessed according to the US imaging findings. When not definitely benign lesions measuring at least 10 mm in diameter or a new thrombus in a vein is noted, the lesions are assessed as US-3 (positive). Not definitely benign lesions smaller than 10 mm in diameter are assessed as US-2 (subthreshold). An absence of lesions or definitely benign observations are assessed as US-1 (negative). Each US examination is assigned a visualization score using the following classifications: score A, no or minimal limitations; score B, moderate limitations; and score C, severe limitations (Tables 3, 4). The US LI-RADS also suggests technical recommendations for optimal US scanning along with some tips to improve liver visualization [39]. These standardized protocols can help improve the quality of surveillance US and the communication between radiologists and referring clinicians. Son et al. [40] reported that the US-3 category demonstrated high specificity, but low sensitivity, for diagnosing HCC and that the visualization score C had a higher false-negative rate than scores A or B. Kang et al. [41] reported a high diagnostic yield of US-guided biopsies with visualization scores of A (91.1%) or B (74.5%), but not for those with a score of C (42.9%). In Korea, the US experts of Korean Society of Ultrasound in Medicine are working on standardizing the US scanning protocol for HCC surveillance and educating physicians under the Korean National Cancer Screening Program [42-44].
Serological tumor markers including AFP, prothrombin induced by vitamin K absence II (PIVKA-II), or the ratio of glycosylated AFP (L3 fraction) to total AFP have been evaluated for surveillance of HCC. AFP is the most widely used of these biomarkers. In a systematic review of five studies of HCV patients, the sensitivity of an AFP level higher than 20 ng/mL ranged from 41% to 65% and the specificity ranged from 80% to 94% for HCC at any stage [45]. However, it remains controversial whether this marker has any additional role or impact on survival in comparison to US alone. The above mentioned meta-analysis in 2014 [15] reported odds ratios with statistical significance between no surveillance and US alone, and between no surveillance and US plus AFP for detecting early-stage HCC (2.04 [95% confidence interval (CI), 1.55 to 2.68] vs. 2.16 [95% CI, 1.80 to 2.60]); however, there was no statistically significant difference between the two surveillance methods. Moreover, the meta-analysis reported odds ratios showing significant differences between no surveillance and US alone, and between no surveillance and US with AFP for receipt of curative treatment (2.23 [95% CI, 1.83 to 2.71] vs. 2.19 [95% CI, 1.89 to 2.53]); however, similarly, no significant differences were reported between the two surveillance methods. According to a systematic review included in the 2018 American Association for the Study of Liver Diseases guideline [26], there was no statistically significant difference between the two strategies for improving survival despite the trends toward a higher risk ratio for US with AFP (1.86 [95% CI, 1.76 to 1.97]) than for US alone (1.75 [95% CI, 1.56 to 1.98]). Furthermore, insufficient research has been conducted on PIVKA-II and AFP-L3, which are only recommended for surveillance in the JSH guideline [31].

Surveillance Intervals

All guidelines recommend surveillance at 6-month intervals except for the Japanese guideline [31], which recommends follow-up every 3-4 months for extremely high-risk patients (Table 1). The rationales for the 6-month interval are largely based on tumor doubling time, survival benefit, and cost-effectiveness. The mean tumor doubling time of small HCCs (<5 cm) was estimated to be around 4 to 7 months [46,47]. With regard to the clinical outcomes, an Italian prospective study comparing 6-month versus 12-month interval surveillance showed that 6-month interval surveillance led to a significantly higher detection rate of early-stage HCC (43.0% vs. 21.2%), treatment applicability (81.8% vs. 69.6%), and patient survival even after correction for the lead time (40.3 months vs. 30.0 months) [12]. Meanwhile, a randomized trial by Trinchet et al. [13] revealed that 3-month interval surveillance did not significantly increase the likelihood of detecting early-stage HCCs (79.2% vs. 70.0%), or improve the amenability to curative treatment (62.3% vs. 58.3%) or 5-year survival (84.9% vs. 85.8%), compared to surveillance at 6-month intervals. Lastly, cost-effectiveness studies have demonstrated that biannual US-based surveillance improves quality-adjusted life expectancy at acceptable costs [18,19,23].

Alternative Surveillance Imaging Modalities

Ideally, the performance of alternative surveillance tests should be verified in a prospective surveillance setting that reflects real-world conditions. As a substitute, some authors have attempted to simulate a surveillance setting by retrospectively enrolling consecutive patients with HCC risk factors who have not been previously diagnosed or treated with HCC. However, in diagnostic settings, the prevalence of HCC could be exaggerated and various selection biases tend to occur, hindering the application of these results to the surveillance setting.

Limitations of US

The sensitivity of US for detecting HCC is particularly impaired in some situations, leading to surveillance failure and poor survival outcome. First, the inherent distortion of the appearance of liver parenchyma by underlying pathologic changes of advanced or macronodular cirrhosis can obscure HCC on US [48,49]. Furthermore, US may generate false-positive findings for HCC in the background of macronodular cirrhosis, resulting in unnecessary recall procedures, which causes additional cost and potential harm to patients [50]. It is especially worth noting that patients with HBV infection were found to be more likely to exhibit parenchymal macronodularity than patients with HCV infection [49,51]. Second, the presence of an inadequate echogenic window is significantly associated with surveillance failure [49]. An inadequate echogenic window is frequently present in obese patients [49,52], but can also be associated with various extrinsic factors (e.g., rib cage or bowel obscuring) or patient factors (e.g., inability to cooperate) (Fig. 1). Third, several tumor-related factors, such as subcapsular location (Fig. 2), small size, and infiltrative tumor type, can significantly impair the sensitivity of US [48,50,53]. According to recently published multicenter studies from the United States, the US LI-RADS visualization score was C in 3.0%-4.2% of patients undergoing HCC surveillance [54,55]. Considering these drawbacks of US, several guidelines proposed alternative imaging modalities such as computed tomography (CT) or magnetic resonance imaging (MRI) for patients with an inadequate US surveillance results [26,29,30]. Table 2 summarizes these alternative modalities under investigation.

Contrast-Enhanced Ultrasonography

With the aid of microbubble contrast agents, the use of contrast-enhanced ultrasonography (CEUS) has been increasing and several studies have validated its usefulness for early detection and diagnosis of HCC [56-58]. To standardize the interpretation, reporting, and techniques for CEUS in at-risk patients for HCC, the CEUS LI-RADS was developed in 2016 and was revised in 2017 [59]. The CEUS LI-RADS categorizes each hepatic observation according to its likelihood of benignity and HCC (i.e., LR-1 to LR-5) according to CEUS features (Table 5) [59]. However, despite its advantages, including no radiation hazard and no contrast-induced nephrotoxicity, CEUS is still mainly used for diagnostic purposes in clinical practice and is not recommended for surveillance in all international guidelines [26,28-32]. A multicenter prospective trial in 2019 reported promising results for CEUS as an alternative tool for HCC surveillance, and the addition of perfluorobutane-enhanced US (Kupffer phase with or without vascular-phase US) to conventional B-mode US significantly reduced the false referral rate despite no significant increase in the detection rate of early HCC [60]. Further trials are needed on the efficacy of CEUS in patients with fatty liver disease, which is becoming increasingly common, especially in Western countries [61], and on its cost-effectiveness as a surveillance test for HCC.

Computed Tomography

The role of CT for HCC surveillance is uncertain since the performance characteristics of CT have been primarily evaluated in diagnostic and staging studies. In a randomized trial in 2013 comparing biannual US to annual triple-phase-contrast CT, biannual US was marginally more cost-effective and more sensitive than CT (sensitivity, 71.4%; specificity, 97.5% vs. sensitivity, 66.7%; specificity, 94.4%, respectively) [62]. In addition, potential harms associated with ionizing radiation and contrast-related toxicity always accompany the use of CT. Recently, a prospective randomized trial has been conducted on populations at risk for HCC to compare standard-dose liver CT and "double low-dose liver CT," in which both the doses of both radiation and contrast medium were reduced by 30% using low monoenergetic images [63]. Double low-dose liver CT provided better focal liver lesion conspicuity than standard-dose CT, suggesting that some of the aforementioned shortcomings of CT could be overcome. Further trials are warranted to determine whether low-dose liver CT provides acceptable sensitivity and specificity for detecting early HCC and is cost-effective.

Magnetic Resonance Imaging

Despite the high diagnostic performance of MRI compared to US or dynamic CT in detecting HCC [64-66], MRI is not routinely recommended for HCC surveillance given the lack of evidence on its accuracy and cost-effectiveness. Notably, the main drawbacks of MRI are its limited accessibility due to a lengthy examination time and the need for costly facilities. However, Kim et al. [50] recently published a prospective surveillance study of 407 patients with cirrhosis and reported that gadoxetic acid-enhanced MRI yielded a very high sensitivity of 84.8%, compared to the strikingly low sensitivity of 27.3% of US for detecting very early HCC. This low sensitivity may be due to the small size of the detected HCCs (mean size, 1.6 cm) with the majority (66.7%) being at very early stages (Barcelona Clinic Liver Cancer stage of 0, single nodule <2 cm). In addition, the study population was composed of those at high risk for HCC with an annual risk of >5%. Therefore, these patients may have been more likely to have advanced liver cirrhosis with distorted liver parenchyma, which may limit the detection of HCC on US. That study was a single-arm study, meaning that patients underwent both US and MRI. In this situation, if a small tumor is detected on MRI first, US might lose its chance to detect HCC in the next surveillance round. In the light of cost-effectiveness, MRI surveillance might be justified in patients at higher risk for HCC development, and several published cost-effectiveness models have shown that surveillance with gadoxetic acid-enhanced MRI outperformed biannual US in high- and intermediate-risk patients [67,68]. However, the long imaging acquisition time of full-protocol gadoxetic acid-enhanced MRI can hamper its widespread use in surveillance settings. Therefore, an abbreviated MRI protocol, including the hepatobiliary phase using gadoxetic acid with diffusion-weighted imaging (DWI) or T2-weighted imaging (T2WI), has been adopted and has shown high sensitivity (80.6%-91.6%) and specificity (90.7%-96.1%) in several retrospective studies [69-72]. Another abbreviated MRI protocol using an extracellular contrast agent, consisting of a dynamic study alone with or without T2WI, has proven its potential as a surveillance tool in a few studies [73,74]. Nevertheless, contrast-enhanced abbreviated MRI protocols still have insurmountable flaws caused by the gadolinium-based contrast agent itself, such as long-term retention in human tissues [75].
Non-contrast MRI consisting of DWI and T2WI could be a candidate for an alternative surveillance modality for HCC. A prospective surveillance study published in 2020 [76] found that the sensitivity of non-contrast MRI for diagnosing HCC was 77.1%-79.1%, with a specificity of 97.9%. This result is somewhat different from those of previous studies that analyzed the accuracy of non-contrast MRI (sensitivity, 82.9%-91.7%; specificity, 76.4%-90.7%), but those studies were retrospective in nature or were performed in a diagnostic setting [77-79]. Moreover, a recent comparative study simulating HCC surveillance reported similar sensitivity and specificity between non-contrast MRI and abbreviated MRI using gadoxetic acid [80]. Given those findings in the literature, non-contrast MRI might be anticipated to be more cost-effective than contrast-enhanced abbreviated MRI, as a corollary of the lack of a requirement for contrast agents and shorter examination time. The length of the examination time is another important factor regarding the efficacy of surveillance utilization, and that of non-contrast MRI has been reported to be about 6 to 10 minutes [76-78]. Two prospective trials are currently underway to compare the effectiveness of biannual US and biannual or annual non-contrast MRI in patients with cirrhosis [81,82].

Cost-Effectiveness of Alternative Imaging Modalities

MRI or CT can improve the detection of early HCCs, but may not be cost-effective if performed in all at-risk patients. Moreover, these alternative modalities may be most justified for the subset of patients who are prone to US surveillance failure or who have a sufficiently high risk of developing HCC. Goossens et al. [67] reported that a risk-stratified surveillance strategy (i.e., abbreviated MRI for high- and intermediate-risk patients with cirrhosis and US for lower risk patients) was more cost-effective than a non-stratified strategy (biannual US for all patients). Another recently published cost-effectiveness model revealed that biannual surveillance using gadoxetic acid-enhanced MRI was more cost-effective than US in patients with compensated cirrhosis [68]. In this study, MRI surveillance was more cost-effective than US surveillance when the HCC incidence rate was 3% per year with a cost-effectiveness threshold of $20,000/quality-adjusted life year [68]. These might imply that MRI surveillance could be an acceptably cost-effective option as the HCC incidence rate increases. On the other hand, since the cost of surveillance tests varies from country to country, the cost-effectiveness may also differ for each country. For example, in South Korea, the national medical insurance fee is $70-120 for surveillance liver US, $200-230 for dynamic CT, $300-330 for non-contrast liver MRI, and $450-500 for full-sequence MRI. Therefore, the cost for biannual US is similar to that of annual dynamic CT.


Surveillance of patients at risk for HCC has led to the identification of early-stage HCCs, receipt of curative treatment, and improvements in patients’ survival. Biannual US is currently the HCC surveillance strategy of choice generally accepted by international societies. However, regarding the low sensitivity of US for early-stage HCC, complementary strategies with alternative surveillance modalities could be options for high-risk patients. MRI with an abbreviated protocol or CT might be effective means of HCC surveillance tailored to patients at higher risk of developing HCC. In light of the limited data evaluating these alternative modalities for surveillance purposes, future studies are needed on the cost-effectiveness, potential harms, and accessibility to surveillance resources associated with these approaches. The performance of US surveillance itself should also be enhanced by optimizing and standardizing the scanning protocol and quality control of physicians and sonologists who perform US examinations. Adoption of the US LI-RADS can be helpful for this purpose.


Author Contributions

Conceptualization: Choi JI, Kim DH. Data acquisition: Choi JI, Kim DH. Data analysis or interpretation: Choi JI, Kim DH. Drafting of the manuscript: Kim DH. Critical revision of the manuscript: Choi JI. Approval of the final version of the manuscript: all authors.

Conflict of Interest

Joon-Il Choi (Activities related to the present article): No relevant relationships; (Activities not related to the present article): The author previously received grants from Bayer Healthcare, Guerbet Korea, Bracco Korea, GE Healthcare, and Starmed, and the author previously received honoraria from Bayer Healthcare, Samsung Medison, Samsung Eletronics, Guerbet Korea, Bracco Korea; (Other relationships): Nothing to declare. Dong Hwan Kim: Nothing to declare.


This study was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (HA15C0004).


1. Global Burden of Disease Liver Cancer Collaboration, Akinyemiju T, Abera S, Ahmed M, Alam N, Alemayohu MA, et al. The burden of primary liver cancer and underlying etiologies from 1990 to 2015 at the global, regional, and national level: results from the global burden of disease study 2015. JAMA Oncol 2017;3:1683–1691.
crossref pmid pmc pdf
2. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018;68:394–424.
crossref pmid
3. El-Serag HB. Hepatocellular carcinoma. N Engl J Med 2011;365:1118–1127.
crossref pmid
4. Petrick JL, Kelly SP, Altekruse SF, McGlynn KA, Rosenberg PS. Future of hepatocellular carcinoma incidence in the United States forecast through 2030. J Clin Oncol 2016;34:1787–1794.
crossref pmid pmc
5. Allemani C, Weir HK, Carreira H, Harewood R, Spika D, Wang XS, et al. Global surveillance of cancer survival 1995-2009: analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (CONCORD-2). Lancet 2015;385:977–1010.
crossref pmid pmc
6. Llovet JM, Fuster J, Bruix J; Barcelona-Clinic Liver Cancer Group. The Barcelona approach: diagnosis, staging, and treatment of hepatocellular carcinoma. Liver Transpl 2004;10(2 Suppl 1):S115–S120.
crossref pmid
7. Sherman M. Whither hepatocellular carcinoma screening? Hepatology 2012;56:2412–2414.
crossref pmid
8. Zhang BH, Yang BH, Tang ZY. Randomized controlled trial of screening for hepatocellular carcinoma. J Cancer Res Clin Oncol 2004;130:417–422.
crossref pmid pdf
9. Santagostino E, Colombo M, Rivi M, Rumi MG, Rocino A, Linari S, et al. A 6-month versus a 12-month surveillance for hepatocellular carcinoma in 559 hemophiliacs infected with the hepatitis C virus. Blood 2003;102:78–82.
crossref pmid pdf
10. Sangiovanni A, Del Ninno E, Fasani P, De Fazio C, Ronchi G, Romeo R, et al. Increased survival of cirrhotic patients with a hepatocellular carcinoma detected during surveillance. Gastroenterology 2004;126:1005–1014.
crossref pmid
11. Trevisani F, Santi V, Gramenzi A, Di Nolfo MA, Del Poggio P, Benvegnu L, et al. Surveillance for early diagnosis of hepatocellular carcinoma: is it effective in intermediate/advanced cirrhosis? Am J Gastroenterol 2007;102:2448–2457.
crossref pmid
12. Santi V, Trevisani F, Gramenzi A, Grignaschi A, Mirici-Cappa F, Del Poggio P, et al. Semiannual surveillance is superior to annual surveillance for the detection of early hepatocellular carcinoma and patient survival. J Hepatol 2010;53:291–297.
crossref pmid
13. Trinchet JC, Chaffaut C, Bourcier V, Degos F, Henrion J, Fontaine H, et al. Ultrasonographic surveillance of hepatocellular carcinoma in cirrhosis: a randomized trial comparing 3- and 6-month periodicities. Hepatology 2011;54:1987–1997.
crossref pmid
14. 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.
crossref pmid pmc
15. Singal AG, Pillai A, Tiro J. Early detection, curative treatment, and survival rates for hepatocellular carcinoma surveillance in patients with cirrhosis: a meta-analysis. PLoS Med 2014;11:e1001624.
crossref pmid pmc
16. Duffy SW, Nagtegaal ID, Wallis M, Cafferty FH, Houssami N, Warwick J, et al. Correcting for lead time and length bias in estimating the effect of screen detection on cancer survival. Am J Epidemiol 2008;168:98–104.
crossref pmid pdf
17. Cucchetti A, Trevisani F, Pecorelli A, Erroi V, Farinati F, Ciccarese F, et al. Estimation of lead-time bias and its impact on the outcome of surveillance for the early diagnosis of hepatocellular carcinoma. J Hepatol 2014;61:333–341.
crossref pmid
18. Sarasin FP, Giostra E, Hadengue A. Cost-effectiveness of screening for detection of small hepatocellular carcinoma in western patients with Child-Pugh class A cirrhosis. Am J Med 1996;101:422–434.
crossref pmid
19. 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;6:1418–1424.
crossref pmid pmc
20. Bolondi L, Sofia S, Siringo S, Gaiani S, Casali A, Zironi G, et al. Surveillance programme of cirrhotic patients for early diagnosis and treatment of hepatocellular carcinoma: a cost effectiveness analysis. Gut 2001;48:251–259.
crossref pmid pmc
21. Arguedas MR, Chen VK, Eloubeidi MA, Fallon MB. Screening for hepatocellular carcinoma in patients with hepatitis C cirrhosis: a cost-utility analysis. Am J Gastroenterol 2003;98:679–690.
crossref pmid
22. Lin OS, Keeffe EB, Sanders GD, Owens DK. Cost-effectiveness of screening for hepatocellular carcinoma in patients with cirrhosis due to chronic hepatitis C. Aliment Pharmacol Ther 2004;19:1159–1172.
crossref pmid
23. Patel D, Terrault NA, Yao FY, Bass NM, Ladabaum U. Cost-effectiveness of hepatocellular carcinoma surveillance in patients with hepatitis C virus-related cirrhosis. Clin Gastroenterol Hepatol 2005;3:75–84.
crossref pmid
24. Thompson Coon J, Rogers G, Hewson P, Wright D, Anderson R, Jackson S, et al. Surveillance of cirrhosis for hepatocellular carcinoma: a cost-utility analysis. Br J Cancer 2008;98:1166–1175.
crossref pmid pmc pdf
25. Cadier B, Bulsei J, Nahon P, Seror O, Laurent A, Rosa I, et al. Early detection and curative treatment of hepatocellular carcinoma: a cost-effectiveness analysis in France and in the United States. Hepatology 2017;65:1237–1248.
crossref pmid
26. Marrero JA, Kulik LM, Sirlin CB, Zhu AX, Finn RS, Abecassis MM, et al. Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American Association for the Study of Liver Diseases. Hepatology 2018;68:723–750.
crossref pmid
27. Bruix J, Sherman M; American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma: an update. Hepatology 2011;53:1020–1022.
crossref pmid pmc
28. American College of Radiology. Ultrasound LI-RADS v2017 [Internet]. Reston, VA: American College of Radiology, 2018. [cited 2020 Aug 3]. Available from:

29. European Association for the Study of the Liver. EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 2018;69:182–236.
crossref pmid
30. Korean Liver Cancer Association; National Cancer Center. 2018 Korean Liver Cancer Association-National Cancer Center Korea practice guidelines for the management of hepatocellular carcinoma. Gut Liver 2019;13:227–299.
crossref pmid pmc
31. Kokudo N, Takemura N, Hasegawa K, Takayama T, Kubo S, Shimada M, et al. Clinical practice guidelines for hepatocellular carcinoma: the Japan Society of Hepatology 2017 (4th JSH-HCC guidelines) 2019 update. Hepatol Res 2019;49:1109–1113.
crossref pmid
32. Omata M, Cheng AL, Kokudo N, Kudo M, Lee JM, Jia J, et al. Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hepatol Int 2017;11:317–370.
crossref pmid pmc pdf
33. Purcell Y, Copin P, Paulatto L, Pommier R, Vilgrain V, Ronot M. Hepatocellular carcinoma surveillance: Eastern and Western perspectives. Ultrasonography 2019;38:191–199.
crossref pmid pmc pdf
34. Fattovich G, Stroffolini T, Zagni I, Donato F. Hepatocellular carcinoma in cirrhosis: incidence and risk factors. Gastroenterology 2004;127(5 Suppl 1):S35–S50.
crossref pmid
35. Kanwal F, Hoang T, Kramer JR, Asch SM, Goetz MB, Zeringue A, et al. Increasing prevalence of HCC and cirrhosis in patients with chronic hepatitis C virus infection. Gastroenterology 2011;140:1182–1188.
crossref pmid pmc
36. Bolondi L. Screening for hepatocellular carcinoma in cirrhosis. J Hepatol 2003;39:1076–1084.
crossref pmid
37. Gambarin-Gelwan M, Wolf DC, Shapiro R, Schwartz ME, Min AD. Sensitivity of commonly available screening tests in detecting hepatocellular carcinoma in cirrhotic patients undergoing liver transplantation. Am J Gastroenterol 2000;95:1535–1538.
crossref pmid
38. Tzartzeva K, Obi J, Rich NE, Parikh ND, Marrero JA, Yopp A, et al. Surveillance imaging and alpha fetoprotein for early detection of hepatocellular carcinoma in patients with cirrhosis: a meta-analysis. Gastroenterology 2018;154:1706–1718.
crossref pmid pmc
39. Rodgers SK, Fetzer DT, Gabriel H, Seow JH, Choi HH, Maturen KE, et al. Role of US LI-RADS in the LI-RADS algorithm. Radiographics 2019;39:690–708.
crossref pmid pmc
40. Son JH, Choi SH, Kim SY, Jang HY, Byun JH, Won HJ, et al. Validation of US liver imaging reporting and data system version 2017 in patients at high risk for hepatocellular carcinoma. Radiology 2019;292:390–397.
crossref pmid
41. Kang JH, Choi SH, Kim SY, Lee SJ, Shin YM, Won HJ, et al. US LI-RADS visualization score: diagnostic outcome of ultrasound-guided focal hepatic lesion biopsy in patients at risk for hepatocellular carcinoma. Ultrasonography 2021;40:167–175.
crossref pmid pmc
42. Choi MH, Jung SE, Choi JI, Jeong WK, Kim HC, Kim Y, et al. Quality management of ultrasound surveillance for hepatocellular carcinoma under the Korean national cancer screening program. J Ultrasound Med 2018;37:245–254.
crossref pmid
43. Choi JI, Kim PN, Jeong WK, Kim HC, Yang DM, Cha SH, et al. Establishing cutoff values for a quality assurance test using an ultrasound phantom in screening ultrasound examinations for hepatocellular carcinoma: an initial report of a nationwide survey in Korea. J Ultrasound Med 2011;30:1221–1229.
crossref pmid
44. Choi JI, Jung SE, Jeong WK, Kim HC, Lall C, Kim Y, et al. Effectiveness of on-site education for quality assurance of screening ultrasonography for hepatocellular carcinoma. Med Ultrason 2016;18:275–280.
crossref pmid
45. Gupta S, Bent S, Kohlwes J. Test characteristics of alpha-fetoprotein for detecting hepatocellular carcinoma in patients with hepatitis C: a systematic review and critical analysis. Ann Intern Med 2003;139:46–50.
crossref pmid
46. Barbara L, Benzi G, Gaiani S, Fusconi F, Zironi G, Siringo S, et al. Natural history of small untreated hepatocellular carcinoma in cirrhosis: a multivariate analysis of prognostic factors of tumor growth rate and patient survival. Hepatology 1992;16:132–137.
crossref pmid
47. Sheu JC, Sung JL, Chen DS, Yang PM, Lai MY, Lee CS, et al. Growth rate of asymptomatic hepatocellular carcinoma and its clinical implications. Gastroenterology 1985;89:259–266.
crossref pmid
48. Sinn DH, Yi J, Choi MS, Choi D, Gwak GY, Paik YH, et al. Incidence and risk factors for surveillance failure in patients with regular hepatocellular carcinoma surveillance. Hepatol Int 2013;7:1010–1018.
crossref pmid pdf
49. Kim YY, An C, Kim DY, Aljoqiman KS, Choi JY, Kim MJ. Failure of hepatocellular carcinoma surveillance: inadequate echogenic window and macronodular parenchyma as potential culprits. Ultrasonography 2019;38:311–320.
crossref pmid pmc pdf
50. Kim SY, An J, Lim YS, Han S, Lee JY, Byun JH, et al. MRI with Liver-specific contrast for surveillance of patients with cirrhosis at high risk of hepatocellular carcinoma. JAMA Oncol 2017;3:456–463.
crossref pmid pmc
51. Anthony PP, Ishak KG, Nayak NC, Poulsen HE, Scheuer PJ, Sobin LH. The morphology of cirrhosis: definition, nomenclature, and classification. Bull World Health Organ 1977;55:521–540.
pmid pmc
52. Wong LL, Reyes RJ, Kwee SA, Hernandez BY, Kalathil SC, Tsai NC. Pitfalls in surveillance for hepatocellular carcinoma: How successful is it in the real world? Clin Mol Hepatol 2017;23:239–248.
crossref pmid pmc pdf
53. Liu WC, Lim JH, Park CK, Kim MJ, Kim SH, Lee SJ, et al. Poor sensitivity of sonography in detection of hepatocellular carcinoma in advanced liver cirrhosis: accuracy of pretransplantation sonography in 118 patients. Eur Radiol 2003;13:1693–1698.
crossref pmid pdf
54. Choi HH, Perez MG, Millet JD, Liang T, Wasnik AP, Maturen KE, et al. Association of advanced hepatic fibrosis and sonographic visualization score: a dual-center study using ACR US LI-RADS. Abdom Radiol (NY) 2019;44:1415–1422.
crossref pmid pdf
55. Millet JD, Kamaya A, Choi HH, Dahiya N, Murphy PM, Naveed MZ, et al. ACR ultrasound liver reporting and data system: multicenter assessment of clinical performance at one year. J Am Coll Radiol 2019;16:1656–1662.
crossref pmid
56. Yang HK, Burns PN, Jang HJ, Kono Y, Khalili K, Wilson SR, et al. Contrast-enhanced ultrasound approach to the diagnosis of focal liver lesions: the importance of washout. Ultrasonography 2019;38:289–301.
crossref pmid pmc pdf
57. Terzi E, Iavarone M, Pompili M, Veronese L, Cabibbo G, Fraquelli M, et al. Contrast ultrasound LI-RADS LR-5 identifies hepatocellular carcinoma in cirrhosis in a multicenter restropective study of 1,006 nodules. J Hepatol 2018;68:485–492.
crossref pmid
58. Kudo M, Ueshima K, Osaki Y, Hirooka M, Imai Y, Aso K, et al. B-mode ultrasonography versus contrast-enhanced ultrasonography for surveillance of hepatocellular carcinoma: a prospective multicenter randomized controlled trial. Liver Cancer 2019;8:271–280.
crossref pmid pmc
59. American College of Radiology. CEUS LI-RADS v2017 CORE [Internet]. Reston, VA: American College of Radiology, 2017. [cited 2020 Aug 3]. Available from:

60. Park JH, Park MS, Lee SJ, Jeong WK, Lee JY, Park MJ, et al. Contrast-enhanced US with perfluorobutane for hepatocellular carcinoma surveillance: a multicenter diagnostic trial (SCAN). Radiology 2019;292:638–646.
crossref pmid
61. Chalasani N, Younossi Z, Lavine JE, Diehl AM, Brunt EM, Cusi K, et al. The diagnosis and management of non-alcoholic fatty liver disease: practice guideline by the American Association for the Study of Liver Diseases, American College of Gastroenterology, and the American Gastroenterological Association. Am J Gastroenterol 2012;107:811–826.
crossref pmid pdf
62. Pocha C, Dieperink E, McMaken KA, Knott A, Thuras P, Ho SB. Surveillance for hepatocellular cancer with ultrasonography vs. computed tomography: a randomised study. Aliment Pharmacol Ther 2013;38:303–312.
crossref pmid
63. Yoon JH, Chang W, Lee ES, Lee SM, Lee JM. Double low-dose dual-energy liver CT in patients at high-risk of HCC: a prospective, randomized, single-center study. Invest Radiol 2020;55:340–348.
crossref pmid
64. Chou R, Cuevas C, Fu R, Devine B, Wasson N, Ginsburg A, et al. Imaging techniques for the diagnosis of hepatocellular carcinoma: a systematic review and meta-analysis. Ann Intern Med 2015;162:697–711.
crossref pmid
65. Lee YJ, Lee JM, Lee JS, Lee HY, Park BH, Kim YH, et al. Hepatocellular carcinoma: diagnostic performance of multidetector CT and MR imaging: a systematic review and meta-analysis. Radiology 2015;275:97–109.
crossref pmid
66. An C, Lee CH, Byun JH, Lee MH, Jeong WK, Choi SH, et al. Intraindividual comparison between gadoxetate-enhanced magnetic resonance imaging and dynamic computed tomography for characterizing focal hepatic lesions: a multicenter, multireader study. Korean J Radiol 2019;20:1616–1626.
crossref pmid pmc
67. Goossens N, Singal AG, King LY, Andersson KL, Fuchs BC, Besa C, et al. Cost-effectiveness of risk score-stratified hepatocellular carcinoma screening in patients with cirrhosis. Clin Transl Gastroenterol 2017;8:e101.
crossref pmid pmc
68. Kim HL, An J, Park JA, Park SH, Lim YS, Lee EK. Magnetic resonance imaging is cost-effective for hepatocellular carcinoma surveillance in high-risk patients with cirrhosis. Hepatology 2019;69:1599–1613.
crossref pmid
69. Marks RM, Ryan A, Heba ER, Tang A, Wolfson TJ, Gamst AC, et al. Diagnostic per-patient accuracy of an abbreviated hepatobiliary phase gadoxetic acid-enhanced MRI for hepatocellular carcinoma surveillance. AJR Am J Roentgenol 2015;204:527–535.
crossref pmid
70. Besa C, Lewis S, Pandharipande PV, Chhatwal J, Kamath A, Cooper N, et al. Hepatocellular carcinoma detection: diagnostic performance of a simulated abbreviated MRI protocol combining diffusion-weighted and T1-weighted imaging at the delayed phase post gadoxetic acid. Abdom Radiol (NY) 2017;42:179–190.
crossref pmid pdf
71. Tillman BG, Gorman JD, Hru JM, Lee MH, King MC, Sirlin CB, et al. Diagnostic per-lesion performance of a simulated gadoxetate disodium-enhanced abbreviated MRI protocol for hepatocellular carcinoma screening. Clin Radiol 2018;73:485–493.
crossref pmid
72. Brunsing RL, Chen DH, Schlein A, Wolfson T, Gamst A, Mamidipalli A, et al. Gadoxetate-enhanced abbreviated MRI for hepatocellular carcinoma surveillance: preliminary experience. Radiol Imaging Cancer 2019;1:e190010.
crossref pmid pmc
73. Lee JY, Huo EJ, Weinstein S, Santos C, Monto A, Corvera CU, et al. Evaluation of an abbreviated screening MRI protocol for patients at risk for hepatocellular carcinoma. Abdom Radiol (NY) 2018;43:1627–1633.
crossref pmid pmc pdf
74. Khatri G, Pedrosa I, Ananthakrishnan L, de Leon AD, Fetzer DT, Leyendecker J, et al. Abbreviated-protocol screening MRI vs. complete-protocol diagnostic MRI for detection of hepatocellular carcinoma in patients with cirrhosis: an equivalence study using LI-RADS v2018. J Magn Reson Imaging 2020;51:415–425.
crossref pmid
75. Levine D, McDonald RJ, Kressel HY. Gadolinium retention after contrast-enhanced MRI. JAMA 2018;320:1853–1854.
crossref pmid
76. Park HJ, Jang HY, Kim SY, Lee SJ, Won HJ, Byun JH, et al. Non-enhanced magnetic resonance imaging as a surveillance tool for hepatocellular carcinoma: comparison with ultrasound. J Hepatol 2020;72:718–724.
crossref pmid
77. Kim YK, Kim YK, Park HJ, Park MJ, Lee WJ, Choi D. Noncontrast MRI with diffusion-weighted imaging as the sole imaging modality for detecting liver malignancy in patients with high risk for hepatocellular carcinoma. Magn Reson Imaging 2014;32:610–618.
crossref pmid
78. Han S, Choi JI, Park MY, Choi MH, Rha SE, Lee YJ. The diagnostic performance of liver MRI without intravenous contrast for detecting hepatocellular carcinoma: a case-controlled feasibility study. Korean J Radiol 2018;19:568–577.
crossref pmid pmc
79. Chan MV, McDonald SJ, Ong YY, Mastrocostas K, Ho E, Huo YR, et al. HCC screening: assessment of an abbreviated non-contrast MRI protocol. Eur Radiol Exp 2019;3:49.
crossref pmid pmc pdf
80. Whang S, Choi MH, Choi JI, Youn SY, Kim DH, Rha SE. Comparison of diagnostic performance of non-contrast MRI and abbreviated MRI using gadoxetic acid in initially diagnosed hepatocellular carcinoma patients: a simulation study of surveillance for hepatocellular carcinomas. Eur Radiol 2020;30:4150–4163.
crossref pmid pdf
81. An C, Kim DY, Choi JY, Han KH, Roh YH, Kim MJ. Noncontrast magnetic resonance imaging versus ultrasonography for hepatocellular carcinoma surveillance (MIRACLE-HCC): study protocol for a prospective randomized trial. BMC Cancer 2018;18:915.
crossref pmid pmc pdf
82. Kim HA, Kim KA, Choi JI, Lee JM, Lee CH, Kang TW, et al. Comparison of biannual ultrasonography and annual non-contrast liver magnetic resonance imaging as surveillance tools for hepatocellular carcinoma in patients with liver cirrhosis (MAGNUS-HCC): a study protocol. BMC Cancer 2017;17:877.
crossref pmid pmc pdf

Representative examples of the Ultrasound Liver Imaging Reporting and Data System (US LI-RADS).

A, B. The patient is a 64-year-old man with hepatitis B viral cirrhosis and surgically confirmed hepatocellular carcinoma (HCC). Surveillance US (A) shows a 1.4-cm hypoechoic nodule (arrow) in hepatic segment VI. The nodule was classified as US LI-RADS category 3 with a visualization score of A. This nodule shows hyperenhancement (arrow) on the arterial-phase image (B) of gadoxetic acid-enhanced magnetic resonance imaging (MRI) and a washout appearance on the portal venous-phase (not shown). C, D. The patient is a 68-year-old woman with cryptogenic liver cirrhosis. Surveillance US (C) shows a 0.9-cm hypoechoic nodule (arrow) in hepatic segment VIII. The nodule was classified as US LI-RADS category 2 with a visualization score of A. After 3 months, follow-up gadoxetic acid-enhanced MRI shows a 1.2-cm nodule with arterial-phase hyperenhancement (arrow, D) in hepatic segment VIII and hepatobiliary-phase hypointensity (not shown). This nodule was categorized as computed tomography (CT)/MRI LI-RADS category 4 and was subsequently treated with radiofrequency ablation. E, F. The patient is a 52-year-old man with chronic hepatitis B and hepatocellular carcinoma. Surveillance US (E) shows no observation, but some portions of the right hemiliver was not visualized due to posterior shadowing from the lung. Therefore, the patient was assigned a US LI-RADS category 1 with a visualization score of B. On liver dynamic CT, there was a 2.5-cm nodule with arterial-phase hyperenhancement (arrow, F) in the right hepatic dome, followed by a washout appearance on delayed phase (not shown). This nodule was diagnosed as HCC based on the typical imaging findings. G, H. The patient is a 46-year-old man with alcoholic liver cirrhosis and severe fatty liver disease. Surveillance US (G) shows no observations (US LI-RADS category 1), but the visualization score was assigned as C because the posterior two-thirds of the liver could not be visualized by US due to severe fatty liver disease. However, there was no observation suggesting HCC on liver dynamic CT (H).
Fig. 1.

Subcapsular areas where hepatocellular carcinoma can be missed easily by ultrasonography (US).

Some subcapsular areas (shown in black) may not be visualized on US, especially in obese patients.
Fig. 2.
Table 1.
Summary of recommendations for surveillance by international guidelines
Continent Society (year of publication) Target population Surveillance test Surveillance interval
North America AASLDa) (2018) [26] Cirrhosis of any etiology US, with or without AFP 6 mo
Chronic HBV carriers if Asian men >40 y, Asian women >50 y, African or African American, or family history of HCC
North America LI-RADSa) (2017) [28] Cirrhosis of any etiology US, with or without AFP 6 mo
Chronic HBV carriers
Europe EASLa) (2018) [29] Cirrhosis of any etiology US 6 mo
Chronic HBV carriers at intermediate or high risk of HCCb)
F3 patients
Asia KLCA-NCC (2018) [30] Cirrhosis of any etiology US and AFP 6 mo
Chronic HBV or HCV
Asia JSH (2017) [31] Cirrhosis with HBV or HCV (defined as extremely high-risk) Extremely high-risk: US, tumor markerc), and dynamic CT or dynamic/EOB MRI High-risk: US and tumor markerc) Extremely high-risk: US and tumor markerc) every 3-4 mo, dynamic CT or dynamic/EOB MRI every 6-12 mo High-risk: 6 mo
Cirrhosis with other etiology or chronic HBV or HCV (defined as high-risk)
Asia APASL (2017) [32] Cirrhosis with HBV or HCV US and AFP 6 mo

AASLD, American Association for the Study of Liver Diseases; HBV, hepatitis B virus; HCC, hepatocellular carcinoma; US, ultrasonography; AFP, α-fetoprotein; LI-RADS, Liver Imaging Reporting and Data System; EASL, European Association for the Study of the Liver; F3, fibrosis stage 3 according to the METAVIR system; KLCA-NCC, Korean Liver Cancer Association and the National Cancer Center; HCV, hepatitis C virus; JSH, Japanese Society of Hepatology; CT, computed tomography; EOB, ethoxybenzyl (gadoxetic acid); MRI, magnetic resonance imaging; APASL, Asian Pacific Association for the Study of the Liver; PIVKA-II, vitamin K absence or antagonist-II; AFP-L3, AFP lectin fracture.

a) Exclude patients with Child-Pugh C, not awaiting liver transplantation.

b) According to the PAGE-B score, based on decade of age (0, 16-29; 2, 30-39; 4, 40-49; 6, 50-59; 8, 60-69; 10, ≥70), sex (male, 6; female, 0) and platelet count (0, ≥200,000/μL; 1, 100,000-199,999/μL; 2, <100,000/μL): a total sum of ≤9 is considered at low risk of HCC (almost 0% risk of HCC at 5 years) a score of 10-17 at intermediate risk (3% incidence of HCC at 5 years) and ≥18 is at high risk (17% risk of HCC at 5 years).

c) AFP, PIVKA-II, and AFP-L3 measurements.

Table 2.
Characteristics of ultrasonography and potential alternative imaging modalities for HCC surveillance
Modality Advantage Disadvantage
Ultrasonography (US) Cheap Lower sensitivity, particularly in patients with advanced cirrhosis or obesity
Cost-effectiveness Operator dependency
High level of evidence for surveillance
No contrast agent-related complications
Contrast-enhanced US Real-time observation Same as above
No contrast agent-induced nephrotoxicity or hypersensitivity Expensive
Reduced false referral rate, compared with B-mode US Lack of evidence for HCC surveillance, especially for cost-effectiveness
Low-dose liver CT Radiological hallmarks of HCCa) Lack of evidence for HCC surveillance
Relatively stable in patients with advanced cirrhosis or obesity Radiation hazard
Contrast agent-induced complications
Contrast-enhanced abbreviated MRI using gadoxetic acidb) Highly sensitive (80.6%-91.6%) (Very) expensive
No radiation hazard Requires costly facilities
Relatively stable in patients with advanced cirrhosis or obesity Lengthy room occupancy time
Contrast retention in human tissues
Contrast-enhanced abbreviated MRI using extracellular agentc) Radiological hallmarks of HCCa) (Very) expensive
No radiation hazard Requires costly facilities
Relatively stable in patients with advanced cirrhosis or obesity Contrast retention in human tissues
Non-contrast MRId) No radiation hazard Expensive
No contrast agent-related complication Requires costly facilities
Shorter examination time Slightly poorer performance than contrast-enhanced
Relatively stable in patients with advanced cirrhosis or obesity MRI

HCC, hepatocellular carcinoma; CT, computed tomography; MRI, magnetic resonance imaging; DWI, diffusion-weighted imaging; T2WI, T2-weighted imaging.

a) Arterial enhancement and portal venous/delayed washout.

b) Consisting of hepatobiliary phase with DWI or T2WI.

c) Consisting of dynamic contrast enhancement alone with or without T2WI.

d) Consisting of DWI and T2WI, with or without T1 in- and out-of-phase imaging.

Table 3.
Categories of US LI-RADS observations
US category Concept Definition
US-1 negative No US evidence of HCC No observation or only definitely benign observations
US-2 subthreshold Observations detected that may warrant short-term US surveillance Observations <10 mm in diameter, not definitely benign
US-3 positive Observations detected that may warrant multiphase contrast-enhanced imaging Observations ≥10 mm in diameter, not definitely benign or new thrombus in vein

Adapted from Ultrasound LI-RADS v2017. American College of Radiology, 2018. Available from:, with permission of the American College of Radiology [28].

US, ultrasonography; LI-RADS, Liver Imaging Reporting and Data System; HCC, hepatocellular carcinoma.

Table 4.
Visualization scores of US LI-RADS
US visualization score Concept Examples
A: No or minimal limitation Limitations if any are unlikely to meaningfully affect sensitivity Liver homogeneous or minimally heterogeneous
Minimal beam attenuation or shadowing
Liver visualized in near entirety
B: Moderate limitation Limitations may obscure small masses Liver moderately heterogeneous
Moderate beam attenuation or shadowing
Some portions of liver or diaphragm not visualized
C: Severe limitation Limitations significantly lower sensitivity for focal liver lesions Liver severely heterogeneous
Severe beam attenuation or shadowing
Majority (>50%) of liver not visualized
Majority (>50%) of diaphragm not visualized

Adapted from Ultrasound LI-RADS v2017. American College of Radiology, 2018. Available from:, with permission of the American College of Radiology [28].

US, ultrasonography; LI-RADS, Liver Imaging Reporting and Data System.

Table 5.
Diagnostic table of CEUS LI-RADS
APHE (not rima), not peripheral discontinuous globularb))
<20c) ≥20 <10 ≥10
No washout of any type CEUS LR-3 CEUS LR-3 CEUS LR-3 CEUS LR-4
Late and mild washout CEUS LR-3 CEUS LR-4 CEUS LR-4 CEUS LR-5

Adapted from CEUS LI-RADS v2017 CORE. American College of Radiology, 2017.

Available from:, with permission of the American College of Radiology [59].

CEUS, contrast-enhanced ultrasonography; LI-RADS, Liver Imaging Reporting and Data System; APHE, arterial phase hyperenhancement.

a) Rim APHE indicates CEUS LR-M.

b) Peripheral discontinuous globular indicates hemangioma (CEUS LR-1).

c) Nodule size (mm).

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