Abstract
One of the primary complications of cirrhosis and portal hypertension is the occurrence of hepatocellular carcinoma (HCC), which is among the most common malignancies worldwide. There is limited availability of predictive non-invasive markers for primary HCC development in compensated advanced chronic liver disease (cACLD) patients. The reference standard method of assessing prognosis for cACLD patients, beyond liver fibrosis assessed by histology, is the measurement of the hepatic venous pressure gradient (HVPG). HVPG ≥ 10 mmHg is associated with an increased risk of HCC in these patients. However, these methods are expensive and invasive and are available only at referral centers. In the last decade, several studies have focused on the evaluation of several, simple, non-invasive tests (NITs) as predictors of HCC development. Among these methods, attention has particularly been paid to the elastographic techniques for the assessment of liver and spleen stiffness. We have reviewed the current literature about vibration-controlled transient elastography (VCTE), magnetic resonance elastography (MRE), and other ultrasound-based elastographic techniques (e.g., SWE) in predicting primary HCC occurrence and recurrence. Despite promising results, the overall heterogeneity resulting from the variability in the populations analyzed, the differences in the elastographic techniques used, the design and methodological quality of the available studies, prevented us from drawing definite conclusions on the liver and spleen stiffness role for predicting HCC occurrence and recurrence in chronic liver disease patients.
Keywords
Hepatocellular carcinoma (HCC), magnetic resonance elastography (MRE), non-invasive diagnosis, shear-wave elastography (SWE), vibration-controlled transient elastography (VCTE)Introduction
In people with chronic liver disease (CLD), the most common type of primary liver cancer is hepatocellular carcinoma (HCC), which represents the fourth most common cause of cancer-related deaths. Many studies have pointed out that in 90% of cases HCC occurs in patients with chronic liver diseases [1] and cirrhosis represents the strongest risk factor for its occurrence [2, 3].
This is the reason why several studies have investigated liver stiffness measurement (LSM) as assessed by vibration-controlled transient elastography (VCTE) or other elastographic techniques implemented on standard ultrasound machines (for example, shear wave elastography, SWE) or magnetic resonance elastography (MRE). These studies have aimed at assessing the predictive role of liver and spleen stiffness measurement (SSM) in evaluating the risk of HCC development in patients with chronic liver disease of various etiologies.
SSM has widened with VCTE over the last decade. The spleen, differently from the liver, is involved in the hemodynamic modifications due to portal hypertension (PH) even at higher values of portal pressure. The degree of PH is closely associated with spleen stiffness even at hepatic venous pressure gradient (HVPG) values above 10–12 mmHg.
Recently, several studies [4–6] have shown the excellent performance of SSM in predicting clinically significant liver events such as the presence of oesophageal varices and the risk of cirrhosis-related complications, including ascites, variceal bleeding, encephalopathy, and HCC.
This paper aims to offer a comprehensive narrative review of the available literature on the role of liver and spleen stiffness in predicting primary HCC occurrence and tumor recurrence in patients with chronic liver disease of various etiologies.
Methods
The following databases were searched until December 2023: MEDLINE via PubMed, Embase, Scopus, and Cochrane. The search strategy was developed according to repeatable patterns, ensuring the high quality of the obtained results. The databases search strategy consisted of using both medical subject heading keywords and free terms that ensured search repeatability in the various databases (Supplementary material).
We decided to exclude the studies assessing the predictive role of serological non-invasive tests (NITs) for HCC occurrence and recurrence as beyond the scope of our review, whereas we included the studies assessing the combination of elastographic techniques and serological tests.
On account that liver damage and fibrosis progression are strongly related to the cause of the underlying hepatic disease, we analyzed the studies according to their etiology.
Results
For better comprehension of the results we decided to summarize the findings of the primary studies according to the etiology of the underlying liver disease and according to the elastographic technique used to assess LSM or SSM.
HBV: studies assessing LSM with VCTE
The worldwide prevalence of chronic hepatitis B virus (HBV) infection is estimated at around 400 million individuals [7]. The annual incidence of progression from chronic hepatitis to cirrhosis ranges from 2.1% to 6% and is influenced by older age, lack of viral suppression, and the co-infection with hepatitis C virus (HCV)/hepatitis D virus (HDV) [8]. Overall, the progression to liver cirrhosis and HCC is estimated to reach 40% of subjects with chronic HBV infection [9].
Assuming the need for a reliable non-invasive evaluation of liver fibrosis, Seo et al. [10] have demonstrated with a multivariate analysis that LSM value was an independent predictor of HCC occurrence [hazard ratio (HR): 1.041, p < 0.001], while histology was not (p > 0.05).
Taking into account other NITs for fibrosis staging, the study by Chon et al. [11] demonstrated a higher diagnostic accuracy of baseline LSM [area under the receiver operating curve (AUROC) 0.789] compared to APRI (AUROC 0.729) and FIB-4 (AUROC 0.744) in the prediction of HCC occurrence during follow-up.
Less satisfactory results were found in the study by Wang et al. [12] in which LSM had AUROC 0.636 with a proposed cut-off value of 21.5 kPa, (Sens 55.6%, Spec 64.2%). In addition, liver stiffness variations during follow-up were not demonstrated to be associated with HCC occurrence (Table 1).
Studies (n = 13) evaluating liver stiffness by VCTE and HCC occurrence in HBV patients. Composite model comprising VCTE
Author & year | Region | Virological status | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jung et al., 2011 [13] | Korea | Mixed | 1,130 | 50.2 | 31 | 57 | 5 | 8 | - | - | - | - | - | - | - |
Chon et al., 2012 [11] | Korea | Mixed | 1,126 | 50.2 | 30.7 | 63 | 5.5 | - | 0.789 | - | - | - | - | - | - |
Kim et al., 2012 [14] | Korea | No therapy at baseline | 128 | 52.5 | 27.8 | 14 | 11 | ≥ 19 | 0.722 | 61.1 | 86.2 | - | - | 4.36 | 0.45 |
Kim et al., 2013 [15] | Korea | Mixed | 1,250 | 50 | 30.7 | 56 | 4.5 | - | 0.802 | - | - | - | - | - | - |
Wong et al., 2014 [16] | China | Mixed | 1,555 | 46 ± 12 | 69 | 55 | 3.5 | ≥ 11 | 0.89 | 87.9 | - | 99.4 | - | - | |
Kim et al., 2015 [17] | Korea | Mixed | 2,876 | 46.1 | 48.9 | 52 | 1.8 | ≥ 13 | - | - | - | - | - | - | - |
Bihari et al., 2016 [18] | Asia | Mixed | 964 | 38.6 ± 14.6 | - | 14 | 1.4 | - | 0.767* | - | - | - | - | - | - |
Seo et al., 2016 [10] | Asia | No therapy at baseline | 381 | 44.1 ± 12.3 | 48.1 | 34 | 8.9 | - | 0.745 | - | - | - | - | - | - |
Jeon et al., 2017 [19] | Korea | Mixed | 540 | 51.5 | 54.1 | 81 | 15 | ≥ 13 | 0.598 | - | - | - | - | - | - |
Li et al., 2017 [20] | China | Viral suppression | 1,200 | 40–59 | - | 156 | 13 | ≥ 9.7 | - | - | - | - | - | - | - |
Izumi et al., 2019 [21] | Japan | Mixed | 377 | - | 27 | 23 | 6 | ≥ 6.2 | 0.79520 | 73.9 | 82.2 | 21.3 | 98 | 4.11 | 0.31 |
Wang et al., 2019 [12] | Taiwan, China | Viral suppression | 257 | 52.6 | 45.6 | 27 | 10 | ≥ 21.5 | 0.636 | 55.6 | 64.2 | - | - | 1.5 | 0.68 |
Lee et al., 2021 [22] | Korea | Viral suppression | 880 | 53.1 | 24 | 81 | 9 | ≥ 6.4 | - | - | - | - | - | - | - |
*: composite outcome; VCTE: vibration-controlled transient elastography
HCV: studies assessing LSM with VCTE
It is estimated that HCC develops late, almost after 20 years from HCV infection, during the cirrhosis stage of the disease [23, 24]. Due to its worldwide diffusion, HCV is the leading cause of HCC occurrence in the setting of liver cirrhosis [25]. The natural history of HCV infection has been revolutionized by the antiviral therapy with direct antiviral agent (DAA); however, in patients with advanced liver fibrosis, the risk of HCC development remains high [26] even if in sustained virological response (SVR).
The study by Wang et al. [27] showed at multivariate analysis, that patients with baseline liver stiffness values > 24 kPa and between 12–24 kPa held higher risk of HCC development (HR 24.6, 95% CI 2.7–220.4, p = 0.004 and HR 11.7, 95% CI 1.3–105.2, p = 0.028) in comparison to those with LSM < 12 kPa. Furthermore, during follow-up LSM values persistently > 12 kPa carried a higher risk to develop HCC compared with those with LSM < 12 kPa.
In the study by Nakagomi et al. [28] baseline liver stiffness predicted the cumulative risk of HCC occurrence until 10 years. In detail, at enrollment, values of LSM ≤ 5 kPa, 5.1–10 kPa, 10.1–15 kPa, 15.1–20 kPa, 20.1–25 kPa, and > 25 kPa were associated with a progressively higher risk of 1.8%, 4.8%, 7.3%, 11.9%, 16.9%, and 22.7% of developing HCC at 1, 2, 3, 5, 7, and 10 years, respectively (Table 2).
Studies (n = 13) evaluating liver stiffness by VCTE and HCC occurrence in patients with HCV
Author & year | Region | SVR | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Masuzaki et al., 2008 [29] | Japan | - | 265 | - | 8 | 85 | 32 | ≥ 25 | 0.805 | - | - | - | - | - | - |
Masuzaki et al., 2009 [30] | Japan | No | 866 | 62.2 ± 11.3 | 36 | 77 | 8.9 | ≥ 25 | - | - | - | - | - | - | - |
Wang et al., 2013 [27] | Taiwan, China | Mixed | 198 | 53.0 ± 11.2 | 47.8 | 10 | 5 | ≥ 12 | - | - | - | - | - | - | - |
Calvaruso et al., 2013 [31] | Italy | No | 233 | - | 42 ± 18 | 20 | 8.5 | ≥ 21 | 0.73 | 70 | 60 | - | - | 1.75 | 0.5 |
Feier et al., 2013 [32] | Romania | No | 184 | 62.23 | - | 72 | 39 | ≥ 38.5 | 0.68 | 51.7 | 90.4 | 86.1 | 61.8 | 5.2 | 0.5 |
Narita et al.,2014 [33] | Japan | No | 151 | 62 | 24 | 9 | 5.9 | ≥ 14 | - | - | - | - | - | - | - |
Wang et al., 2016 [34] | Taiwan, China | SVR | 278 | 54.1 | 91.2 | 18 | 6.5 | ≥ 12 | 0.781 | 55.6 | 91.9 | - | - | 0.7 | 0.5 |
D’Ambrosio et al., 2018 [35] | Italy | No | 404 | 63 | 36 | 24 | 6 | ≥ 30 | - | - | - | - | - | - | - |
Degasperi et al, 2019 [36] | Italy | No | 546 | 64 | 25 | 28 | 5 | ≥ 30 | - | - | - | - | - | - | - |
Nakagomi et al., 2019 [28] | Japan | No | 1,146 | 63 | 79.2 | 190 | 16.5 | - | - | - | - | - | - | - | - |
Pons et al., 2020 [37] | Spain | SVR | 572 | 63.7 | 33.6 | 25 | 4 | - | - | - | - | - | - | - | - |
Izumi et al, 2019 [21] | Japan | Mixed | 419 | - | 30 | 32 | 7.6 | ≥ 8 | 0.80592 | 84.4 | 63.3 | 16.1 | 98 | 2.3 | 0.25 |
Rinaldi et al., 2019 [38] | Italy | SVR | 258 | 68 | 24 | 35 | 13.5 | ≥ 27.8 | 0.691 | 72 | 65 | - | - | 2.05 | 0.4 |
SVR: sustained virological response; VCTE: vibration-controlled transient elastography
HCV: studies assessing LSM with MRE
Promising results come from the application of MRE in the prediction of HCC occurrence.
In the study by Kumada et al. [39], a total of 537 viremic patients with HCV were evaluated at baseline with MRE. During follow-up, the patients received DAA treatment obtaining SVR. During the median follow-up of 43.8 months, those patients with baseline MRE value > 4.5 kPa (adjusted HR 7.301) showed higher rates of HCC occurrence and MRE resulted to be independently associated with HCC development at multivariate analysis.
Conversely, Tamaki et al. [40] evaluated 346 patients with SVR in prediction of HCC occurrence. In their study, MRE was compared to other NITs such as FIB-4. LSM ≥ 3.75 kPa was shown to be an independent predictive factor for HCC occurrence (HR 3.51, 95% CI 1.24–9.99) at multivariate analysis. In the patients with LSM ≥ 3.75 kPa the development of HCC was 6.6%, 11.9%, and 14.5% at 1/2/3‐year, respectively. The AUROC analysis for LSM resulted in 0.661, 0.724, and 0.743 at 1, 2 and 3 years, respectively.
In a further study, Kumada et al. [41] evaluated patients with HCV-related chronic liver disease at baseline (viremic) with MRE and SWE (LOGIQ S8 GE Healthcare) in the prediction of HCC occurrence. Their study found a good accuracy of both methods in the prediction of HCC at 5 years of follow-up. More in detail, LSM-MRE > 4.5 kPa showed a time-dependent AUROC 0.808 and LSM-SWE > 11.7 kPa showed a time-dependent AUROC 0.826 for the development of HCC (Table 3).
Studies (n = 3) evaluating liver stiffness with MRE and HCC occurrence in patients with HCV
Author & year | Region | SVR | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tamaki et al., 2019 [40] | Japan | SVR | 346 | 68.2 ± 10 | 26.4 ± 7.9 | 24 | 7 | - | - | - | - | - | - | - | - |
Kumada et al., 2021 [39] | Japan | No | 537 | 72 | 43.8 | 18 | 3 | > 4.5 | - | - | - | - | - | - | - |
Kumada et al., 2022 [41] | Japan | No | 525 | 72 | 60 | 21 | 4 | > 4.5 | 0.808 | 77.8 | 81.6 | - | - | 4.3 | 0.26 |
SVR: sustained virological response
HCV: studies assessing LSM with SWE
The study by Gyotoku et al. [42] assessed shear-wave velocity (LOGIQ E9 multi-purpose GE Healthcare) at baseline, at the end of DAA therapy, at 12 and 24 weeks after treatment for purposes of evaluating its diagnostic accuracy in HCC prediction. Their study showed a greater accuracy of shear wave velocity at 24 weeks with AUROC 0.86 as compared to baseline (AUROC 0.80), end of treatment (AUROC 0.74), and at 12 weeks after SVR (AUROC 0.72). The authors found that the patients with HCC had baseline SWE values higher than those who did not develop primary liver cancer: 1.86 ± 0.20 m/s (1.52–2.26) vs. 1.58 ± 0.26 m/s (1.03–2.56) (p = 0.0036).
The study by Hamada et al. [43] evaluated the diagnostic accuracy of LSM-SWE (SuperSonic Imagine S.A., France) in the prediction of HCC development in HCV-SVR patients. This study showed an AUROC 0.93 with an optimal LSM cut-off value ≥ 11 kPa (Sens 75%, Spec 95%) (Table 4).
Studies (n = 3) evaluating liver stiffness by SWE and HCC occurrence in patients with HCV
Author & year | Region | SVR | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hamada et al., 2018 [43] | Japan | SVR | 196 | 62 | 26 | - | - | ≥ 11 | 0.933 | 75 | 95 | 0.273 | 0.989 | 1.5 | 0.6 |
Gyotoku et al., 2022 [42] | Japan | SVR during FU | 229 | 65.6 | 32.6 ± 19.5 | 8 | 3.5 | - | 0.86041 | - | - | - | - | - | - |
Kumada et al., 2022 [41] | Japan | No | 525 | 72 | 60 | 21 | 4 | > 11.7 | 0.826 | 78.6 | 82 | - | - | 4.3 | 0.26 |
SWE: shear wave elastography; SVR: sustained virological respons
HCV: studies assessing SSM with VCTE
Dajti et al. [44] evaluated the prediction of LSM and SSM for the diagnosis of HCC in patients with SVR. They found in univariate analysis that SSM SVR-24 was significantly associated with HCC development (HR 1.029, 95% CI 1.006–1.053, p = 0.013). At adjusted multivariate analysis, SSM SVR-24 showed HR 1.025 (95% CI 1.001–1.050, p = 0.049).
The SSM cut-off value defined in this study was 42 kPa (Sens 75%, Spec 61%, NPV 93.6%, PPV 24.2%) (Table 5).
Study evaluating spleen stiffness by VCTE and HCC occurrence in patients with HCV
Author & year | Region | SVR | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dajti et al., 2021 [44] | Italy | SVR | 140 | 63 | 41.5 | 20 | 14 | ≥ 42 | 0.682 | 75 | 61 | 24.2 | 93.6 | 1.92 | 0.41 |
SVR: sustained virological response; VCTE: vibration-controlled transient elastography
Mixed etiology: studies assessing LSM with VCTE
The studies reported below include populations with different etiologies of liver disease, this fact has to be considered in the evaluation of liver stiffness diagnostic performance in prediction of HCC occurrence.
The study by Kuo et al. [45] evaluated 435 patients with HCV/HBV infection at different stages of liver disease. The AUROC of LSM in predicting HCC presence was 0.736. At multivariate analysis, liver stiffness proved to be an independent factor for HCC presence (odds ratio 1.07, 95% CI 1.05–1.09). LSM diagnostic performance was further stratified according to stiffness values < 12 kPa, 12–24 kPa, and > 24 kPa. In the prediction of HCC occurrence, LSM > 24 kPa showed 41.5% sensitivity and a higher level of specificity at 92.7%, as compared to the other cut-off values.
Many studies compared LSM and HVPG in the prediction of clinically significant liver-related events as a composite outcome.
In the study by Robic et al. [46], LSM proved to be non-inferior to HVPG in the prediction of liver-related events (including HCC). Therefore, LSM could be considered a worthy alternative to invasive HVPG in the prediction of liver complications. In support of this, Pérez-Latorre et al. [47] have demonstrated the non-inferiority of VCTE (AUROC 0.85, 95% CI 0.73–0.97) compared to HVPG (AUROC 0.76, 95% CI 0.63–0.89) in the prediction of liver-related events (including HCC), in cirrhotic patients with HCV-HIV co-infection (Table 6).
Studies (n = 9) evaluating liver stiffness by VCTE and HCC occurrence in patients with mixed etiology
Author & year | Region | Etiology(%) | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nahon et al., 2009 [48] | France | HCV 67EtOH 33 | 265 | - | - | 66 | 26 | - | - | - | - | - | - | - | - |
Kuo et al., 2010 [45] | Taiwan, China | HCV 57HBV 43 | 435 | - | 15 | 106 | 24 | ≥ 12 | 0.736 | 69.8 | 69.6 | - | - | 2.3 | 0.43 |
Robic et al., 2011 [46] | France | EtOH 38HBV+ HCV 28Others 34 | 100 | 56 ± 13 | 24 | 4 | 4 | ≥ 21.1* | 0.837 | 81.6 | 75.9 | 68.9 | 86.3 | 3.37 | 0.23 |
Akima et al., 2011 [49] | Japan | HCV 85HBV14HBV + HCV 1 | 157 | - | 48 | 41 | 26 | ≥ 12.5 | 0.727 | - | - | - | - | - | - |
Klibansky et al., 2012 [50] | America-Israel | HCV 67.5NAFLD 13.5Others 19 | 667 | 51 | 28.07 | 16 | 2.3 | ≥ 10.5* | 0.87 | 94.7 | 63 | 19.3 | 99.2 | 2.5 | 0.79 |
Salmon et al., 2012 [51] | France | HCV + HIV | 244 | 46.8 | 31.2 | 21 | 8.7 | ≥ 12.5 | - | - | - | - | - | - | - |
Poynard et al., 2014 [52] | France | HCV 79HIV 7EtOH 14 | 3,927 | 49 | 144 | 84 | 2 | - | 0.86 | - | - | - | - | - | - |
Pérez-Latorre et al., 2014 [47] | Spain | HCV 40HIV 60 | 60 | - | 42 | 7 | 12 | ≥ 40* | 0.85 | 67 | 90 | 62 | 91 | 6.7 | 0.36 |
Adler et al., 2016 [53] | UK-Italy | HCV 50.7NAFLD 10.2Others 39.1 | 432 | 56 ± 13 | 31.1 | 41 | 9 | ≥ 20 | - | - | - | - | - | - | - |
*: composite outcome; NAFLD: non-alcoholic fatty liver disease; VCTE: vibration-controlled transient elastography
Mixed etiology: studies assessing LSM with MRE
Lee et al. [54], evaluated 217 patients with various causes of liver disease at risk for HCC occurrence. At multivariate analysis, the authors found that LSM values obtained by MRE were predictive of HCC occurrence (p < 0.001, HR = 1.59 per unit, 95% CI 1.25–2.03). In addition, they identified LSM 4.4 kPa as a cut-off value able to predict the occurrence of HCC.
In the study by Ichikawa et al. [55] the predictive value of LSM-MRE was stratified based on three levels: LSM < 3 kPa, 3–4.7 kPa, or > 4.7 kPa. Patients have undergone MRE examinations at baseline and during follow-up. The authors subclassified patients into three groups according to sequential changes in liver stiffness: Group A (high LSM on the first MRE), Group C (low on both examinations), Group B (other combinations). This study showed that patients of Group A had a risk ratio of 1.018–6.030 (p = 0.0028–0.0268) for the development of HCC.
On the other hand, the previous case-control study by Anaparthy et al. [56] investigated the difference in LSM-MRE between cACLD patients with or without HCC. This study found no significant difference (p = 0.7) in LSM-MRE between individuals with HCC (6.3 ± 2.1 kPa) and patients without (6.1 ± 2.3 kPa) (Table 7).
Studies (n = 5) evaluating liver stiffness by MRE and HCC occurrence in patients with mixed etiology
Author & year | Region | Etiology(%) | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anaparthy et al., 2011 [56] | USA | Viral 57NAFLD 33Others 10 | 90 | 64 ± 10(pts with HCC) | - | 30 | 33 | - | - | - | - | - | - | - | - |
Motosugi et al., 2013 [57] | Japan | HCV 65Others 35 | 132 | 70.5 | - | 66 | 50 | - | - | - | - | - | - | - | - |
Lee et al., 2018 [54] | Japan | HBV 65.9HCV 10.6Others 23.5 | 217 | 59.7 ± 12.0 | 45.0 ± 17.6 | 33 | 15 | ≥ 4.4 | - | - | - | - | - | - | - |
Ichikawa et al., 2019 [55] | Japan | HCV 62HBV 22Others 16 | 161 | - | - | 47 | 29.2 | - | - | - | - | - | - | - | - |
Higuchi et al., 2022 [58] | Japan-USA | HCV 51.2HBV 15.8Others 33 | 2,373 | 68 | 33.6 | 99 | 4 | - | - | - | - | - | - | - | - |
NAFLD: non-alcoholic fatty liver disease
Mixed etiology: studies assessing LSM with SWE
Kasai et al. [59] evaluated the predictive value of LSM-SWE (Aixplorer US system SuperSonic Imagine S.A.) for HCC in 273 patients with various etiologies of liver disease.
This case-control study found a significant difference in LSM value (22.65 ± 10.19 kPa) of patients with HCC and those without (12.67 ± 9.45 kPa) (p < 0.0001) (Table 8).
Study evaluating liver stiffness by SWE and HCC occurrence in patients with mixed etiology
Author & year | Region | Etiology | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kasai et al., 2015 [59] | Japan | Various, proportions not specified | 273 | - | - | 89 | 33 | - | 0.791 | - | - | - | - | - | - |
SWE: shear wave elastography
NAFLD: studies assessing LSM with VCTE
Nowadays non-alcoholic fatty liver disease (NAFLD) represents the most frequent cause of liver disease worldwide with an estimated prevalence in the USA and Europe between 10% and 30% [60]. Many clinical conditions are associated with NAFLD: obesity, hyperlipidemia, hypertension, type-2 diabetes, and metabolic syndrome. NAFLD is defined as the presence of steatosis in more than 5% of hepatocytes. The histological spectrum varies and includes non-alcoholic fatty liver, steatohepatitis (NASH; steatosis with inflammation and hepatocyte ballooning) and advanced fibrosis which ultimately evolves in cirrhosis [61]. Patients whose liver disease progresses through stages are at major risk of liver-related complications, such as HCC development.
In the study by Shili-Masmoudi et al. [62], including 2,251 patients, LSM was showed to be at multivariate analysis an independent predictor of overall survival with an adjusted HR 2.85 (1.65–4.92), p = 0.0002. Moreover, patients with elevated baseline LSM had a major risk to develop cardiovascular and liver events. The study also showed that patients with HCC occurrence during follow-up had a higher level of baseline LSM, but no further data was provided.
The study by Lee et al. [63], including 2,666 patients, showed the high accuracy of a composite model including age, LSM, platelets (PLT) together with aspartate transaminase (AST) ≥ 34 IU/L in the prediction of HCC occurrence, with AUROC at 2, 3, and 5 years of 0.948, 0.947, and 0.939, respectively (Table 9).
Studies (n = 3) evaluating liver stiffness by VCTE and HCC occurrence in patients with NAFLD
Author & year | Region | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Izumi et al., 2019 [21] | Japan | 258 | - | 30 | 33 | 13 | ≥ 5.4 | 0.69 | 93.9 | 35.1 | 17.5 | 97.5 | 1.43 | 2 |
Shili-Masmoudi et al., 2020 [62] | France/Asia/Australia | 2,251 | 59.4 | 27 | - | - | ≥ 12 | - | - | - | - | - | - | - |
Lee et al., 2021 [63] | Korea | 2,666 | 52 | 64.6 | 22 | 0.8 | ≥ 9.3 | - | - | - | - | - | - | - |
NAFLD: non-alcoholic fatty liver disease; VCTE: vibration-controlled transient elastography
NAFLD: studies assessing LSM with MRE
Ajmera et al. [64] evaluated 6 studies assessing LSM-MRE and the prediction of liver-related events and HCC occurrence. In this study, LSM-MRE ≥ 5kPa was found to be associated with a greater than 1.5% risk of HCC development per year thus supporting the use of this cut-off for HCC surveillance. Moreover, this study stratified patients for the risk of HCC development at 1 and 3 year/s based on the value of LSM-MRE values: < 5 kPa, 5–8 kPa, > 8 kPa, and found a risk of 0.1%–0.35%, 3.71%–5.25% and 3.61%–5.66%, respectively. The HRs for HCC development were 23.4 (95% CI 6.85–79.8, p < 0.001) for LSM > 5kPa and 33.8 (95% CI 8.94–127.7, p < 0.001) for LSM 5–8 kPa, compared to LSM < 5 kPa (Table 10).
Study evaluating liver stiffness by MRE and HCC occurrence in patients with NAFLD
Author & year | Region | Patients (n) | Mean age (years) | F-U months | HCC (n) | Prevalence (%) | Proposed cut-off (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ajmera et al., 2022 [64] | USA-Asia | 2,018 | 57.84 | 50.4 | 69 | - | ≥ 5 kPa | - | - | - | - | - | - | - |
NAFLD: non-alcoholic fatty liver disease
Studies assessing LSM and SSM in the prediction of HCC recurrence after resection
HCC recurrence after curative treatment represents a strong predictor of poor prognosis. Thus, stratification of patients at risk for this condition, potentially improves outcomes [65].
Many studies have evaluated liver and SSM in the prediction of HCC recurrence after treatment.
The study by Marasco et al. [66] evaluated the diagnostic accuracy of LSM and SSM with VCTE in the prediction of HCC recurrence after resection in patients with chronic liver disease. They defined early recurrence and late recurrence considering HCC onset < 24 months from surgery and > 24 months, respectively. This study found that SSM > 70 kPa was associated with a higher recurrence rate with a statistical significance at multivariate analysis. Thus, the authors proposed a cut-off value of SSM > 70 kPa.
The wide use of MR during follow-up in patients with previous HCC to detect tumor reappearance, have led many clinicians to investigate the role of LSM-MR in the prediction of HCC recurrence. Cho et al. [67] evaluated 192 patients with HCC who underwent hepatic resection, radio-frequency ablation (RFA), or trans-arterial chemoembolization (TACE). Interestingly, this study found that higher values of LSM represented an independent risk factor for early tumor recurrence both in patients treated with RFA/resection and TACE. In the first group, a cut-off of LSM-MR > 4.5 kPa showed an HR = 2.95; 95% CI 1.26–6.94; p = 0.013; in the second group LSM-MR > 6 kPa they found an HR = 2.94; 95% CI 1.27–6.83; p = 0.012 (Table 11).
Study evaluating SSM by VCTE and HCC recurrence in patients with mixed etiology
Author & year | Region | Patients (n) | Mean age (years) | F-U months | Etiology of liver disease (%) | Recurrent HCC | Proposed cut off (TE) (kPa) | AUROC | Sens (%) | Spec (%) | PPV | NPV | LR+ | LR– |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marasco et al., 2019 [66] | Italy | 157 | 62 | 24 | HCV 56HBV 19.8EtOH 21Others 3.2 | 66 (early)27 (late) | SSM > 70 | - | - | - | - | - | - | - |
SSM: spleen stiffness measurement; VCTE: vibration-controlled transient elastography
Conclusions
The measurement of liver stiffness by VCTE, elastographic techniques implemented on standard ultrasound systems (e.g., SWE) or MR-elastography has recently emerged as a possible predictive marker for HCC.
Actually, this parameter is probably connected to fibrosis severity, inflammation, and indirectly PH, which are all involved in the pathogenesis of HCC.
Most of the studies evaluated in our review have shown a good predictive value of liver stiffness for HCC occurrence in patients with different chronic liver diseases.
Despite our decision to stratify studies by etiology in order to reduce heterogeneity, one should note that the cut-off values of LSM still varied greatly among the studies, according to the different techniques and methodology used (timing of measurement, experience of the operator, interpretation of results). Also, many studies [68] have compared the accuracy of different electrographic techniques in the estimation of liver fibrosis showing that ultrasound elastography advantagiously focuses on a larger region of interest (ROI) rather than transient elastography with the opportunity to perform concomitantly the evaluation of liver parenchyma and thus HCC detection. However, elastography as implemented on standard US devices needs expertise and training not required for VCTE, which currently remains the most popular elastographic technique. Additionally, despite slightly higher diagnostic accuracy estimates, MRE comes with some limitations, i.e., its low availability and higher costs.
Noteworthy, even within the same etiological group some studies evaluated patients with different virological status, thus making the proposed cut-off value less reliable. As an example, many studies assessed liver stiffness before the start of antiviral treatment in naïve patients, whereas others made the assessment during viral suppression, thus obtaining non-comparable results. In fact, in the former group, the presence of active necro-inflammation could have led to an overestimation of the actual liver fibrosis stage.
Thus, further studies are needed to validate these findings and better define the specific optimal cut-off values for each etiology and different diagnostic tools.
Moreover, different additional sources of heterogeneity should be considered when analyzing the studies’ results. First of all, the studies differed in terms of study design: prospective with longitudinal evaluation of liver stiffness changes, retrospective, case-control.
Secondly, in terms of the population analyzed for different geographical origins, HCC prevalence, and clinical co-factors (prevalence of alcohol abuse, diabetes, etc.).
Furthermore, some studies assessed LSM combined with other variables, such as laboratory data, with the aim to create composite scores, thus preventing the estimation of the diagnostic accuracy of the single parameters.
Lastly, several prognostic models, including LSM as a predictor of HCC development, have been put forward and validated. However, different surveillance strategies according to different LSM risk categories have yet to be performed. In this respect, as showed in the study by Enomoto et al. [69], we should bear in mind that HCC can also occur in SVR patients in the absence of advanced fibrosis, thus making necessary the addition of other serum parameters in risk stratification of HCC occurrence.
Regarding the possible role of spleen stiffness assessment in the prediction of HCC occurrence PH is likely to be the cause of the correlation between increased SSM values and HCC development. When it comes to PH, the liver’s altered blood flow and micro-circulation result in reduced oxygen supply to the tissue. Subsequently, the production of HIF (hypoxia-induced factor) and other cytokines is stimulated in dysplastic nodules due to this hypoxic environment [70]. The subsequent proliferation of new blood vessels and the progression of fibrosis favor the carcinogenesis process.
A few preliminary studies have directly addressed the role of SSM in HCC prediction, thus suggesting its promising use in HCC risk stratification.
Also, recent data has shown that SSM can predict tumor recurrence after surgical resection in HCC patients. Marasco et al. [66] have shown that the SSM value at multivariate analysis is the only independent predictor of late HCC recurrence after primary HCC resection.
Another possible role of liver and SSM regards the prediction of post-operative liver failure and overall survival in patients undergoing hepatic resection for HCC [71, 72] or RFA [73].
In conclusion, the main advantages of elastographic techniques, except for MRE, are that they are patient-friendly, largely available, fast to use, non-invasive, and easily repeatable. On the other hand, particularly for elastographic techniques implemented on standard US devices, results may vary according to the technique and device used, and this does not allow to obtain reproducible cut-off values. For this reason, the use of the same technique with the same device is recommended during a patient’s follow-up. In addition, in order to obtain unbiased results future studies should be consecutive and designed for direct comparison of the different techniques (VCTE, 2D-SWE, and MRE) in the same population. Major efforts are still needed to identify specific cut-off values for different liver disease etiologies; in this regard, the longitudinal stiffness variations could add better stratification of HCC occurrence after the eradication [74, 75] or suppression of viral agents and during the course of liver disease, on account of concomitant factors that would possibly negatively impact on the hepatopathy course.
Future research should also focus on the use and validation of composite models including elastography and other NITs [76] with the aim of obtaining a better risk stratification of HCC occurrence. Very recently, Lin et al. [77] applied machine learning with artificial intelligence to develop a SMART-HCC score, which has demonstrated better diagnostic than conventional risk scores, with promising advances in HCC risk prediction.
Abbreviations
AUROC: | area under the receiver operating curve |
cACLD: | compensated advanced chronic liver disease |
DAA: | direct antiviral agent |
HBV: | hepatitis B virus |
HCC: | hepatocellular carcinoma |
HCV: | hepatitis C virus |
HR: | hazard ratio |
HVPG: | hepatic venous pressure gradient |
LSM: | liver stiffness measurement |
MR: | magnetic resonance |
MRE: | magnetic resonance elastography |
NAFLD: | non-alcoholic fatty liver disease |
NITs: | non-invasive tests |
PH: | portal hypertension |
RFA: | radio-frequency ablation |
SSM: | spleen stiffness measurement |
SVR: | sustained virological response |
SWE: | shear wave elastography |
VCTE: | vibration-controlled transient elastography |
Supplementary materials
The supplementary materials for this article are available at: https://www.explorationpub.com/uploads/Article/file/100555_sup_1.pdf.
Declarations
Author contributions
AF: Investigation, Writing—original draft. MF: Conceptualization, Investigation, Writing—original draft, Writing—review & editing, Supervision. All authors read and approved the submitted version.
Conflicts of interest
The authors declare that they have no conflicts of interest.
Ethical approval
Not applicable.
Consent to participate
Not applicable.
Consent to publication
Not applicable.
Availability of data and materials
The primary data for this review were sourced online from databases listed in the methods.
Funding
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Copyright
© The Author(s) 2024.