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Shear wave elastography predicts hepatocellular carcinoma risk in hepatitis C patients after sustained virological response

  • Koichi Hamada ,

    Contributed equally to this work with: Koichi Hamada, Satoshi Saitoh, Michitaka Honda

    Roles Data curation, Formal analysis, Investigation, Writing – original draft

    koichi.hamada@mt.strins.or.jp

    Affiliations Department of Minimally Invasive Surgical and Medical Oncology, Fukushima Medical University, Fukushima, Japan, Department of Gastroenterology, Southern-Tohoku General Hospital, Koriyama, Japan

  • Satoshi Saitoh ,

    Contributed equally to this work with: Koichi Hamada, Satoshi Saitoh, Michitaka Honda

    Roles Conceptualization, Supervision, Writing – review & editing

    Affiliation Department of Hepatology, Toranomon Hospital, Tokyo, Japan

  • Noriyuki Nishino ,

    Roles Project administration

    ‡ These authors also contributed equally to this work.

    Affiliation Department of Minimally Invasive Surgical and Medical Oncology, Fukushima Medical University, Fukushima, Japan

  • Daizo Fukushima ,

    Roles Data curation

    ‡ These authors also contributed equally to this work.

    Affiliation Department of Minimally Invasive Surgical and Medical Oncology, Fukushima Medical University, Fukushima, Japan

  • Yoshinori Horikawa ,

    Roles Data curation

    ‡ These authors also contributed equally to this work.

    Affiliation Department of Minimally Invasive Surgical and Medical Oncology, Fukushima Medical University, Fukushima, Japan

  • Shinya Nishida ,

    Roles Formal analysis

    ‡ These authors also contributed equally to this work.

    Affiliation Department of Gastroenterology, Southern-Tohoku General Hospital, Koriyama, Japan

  • Michitaka Honda

    Contributed equally to this work with: Koichi Hamada, Satoshi Saitoh, Michitaka Honda

    Roles Writing – review & editing

    Affiliations Department of Minimally Invasive Surgical and Medical Oncology, Fukushima Medical University, Fukushima, Japan, Department of Gastroenterology, Southern-Tohoku General Hospital, Koriyama, Japan

Abstract

Aim

To evaluate the relationship between fibrosis and HCC after sustained virological response (SVR) to treatment for chronic hepatitis C (HCV).

Methods

This single-center study retrospectively evaluated 196 patients who achieved SVR after HCV infection. The associations of risk factors with HCC development after HCV eradication were evaluated using univariate and multivariate Cox proportional hazards regression models.

Results

Among the 196 patients, 8 patients (4.1%) developed HCC after SVR during a median follow-up of 26 months. Multivariate analyses revealed that HCC development was independently associated with age of ≥75 years (risk ratio [RR] = 35.16), α- fetoprotein levels of ≥6 ng/mL (RR = 40.30), and SWE results of ≥11 kPa (RR = 28.71).

Conclusions

Our findings indicate that SWE may facilitate HCC surveillance after SVR and the identification of patients who have an increased risk of HCC after HCV clearance.

Introduction

Hepatocellular carcinoma (HCC) is the fifth most common global cause of malignancy-related death [1], and a major cause of HCC is chronic hepatitis C virus (HCV) infection [2, 3]. Although achieving a sustained virological response (SVR) can help prevent HCC, the possibility of developing HCC remains approximately 1% per year after SVR [47]. In addition, a recent report revealed that the HCC recurrence rate is relatively high after SVR has been achieved using direct-acting antivirals agent [8].

Several recent reports have revealed that older age, male sex, advanced liver fibrosis, and high levels of α-fetoprotein (AFP) and alanine aminotransferase (ALT) are risk factors for developing HCC after achieving SVR [916].

Previous studies have also revealed that ultrasound elastography is a non-invasive tool for measuring liver stiffness (LS) and determining the stage of liver fibrosis [1721]. Furthermore, ultrasound-based transient elastography is a simple and reliable tool for evaluating various liver diseases [22], although this approach does not provide two-dimensional images of the target structures and cannot be used for patients with ascites. Shear wave elastography (SWE) measures LS by quantifying the velocity of shear waves produced in the liver tissue and uses a normal B-mode ultrasound probe for measuring LS in real time. In addition, SWE imaging using the Aixplorer system provides a high frame-rate and may be able to provide more accurate scoring of fibrosis [23].

Several studies have revealed that LS decreases after patients have achieved SVR, compared to the pre-treatment value [24, 25]. Although the degree of fibrosis after SVR is a known risk factor for post-SVR HCC development, no studies have evaluated the association of fibrosis evaluated using shear wave elastography (SWE) with the development of post-SVR HCC. Therefore, this retrospective study evaluated the relationship between LS measured using SWE and HCC development after HCV eradication.

Materials and methods

Patients

This retrospective single-center study evaluated patients who achieved SVR after treatment using direct-acting antiviral agents (n = 107) or interferon-based treatment (n = 89) for HCV infection between February 2008 and May 2016. The exclusion criteria were patients with the hepatitis B virus surface antigen, antibodies against the human immunodeficiency virus, daily consumption of >40 g of ethanol, HCC before achieving SVR, or other liver diseases. HCC was ruled out by gadolinium-ethoxybenzyl-diethylenetriaminpentaacetic acid-enhanced magnetic resonance imaging or dynamic computed tomography before HCV treatment. Eligible patients were identified using their treatment records, and SVR was defined as being negative for HCV RNA at 24 weeks after the end of treatment (SVR24). The patients’ baseline clinical data were recorded at the start of therapy. Follow-up time was calculated from SVR24, and the follow-up was discontinued after the final visit for patients who did not develop HCC or the diagnosis of HCC for patients who developed HCC. The study’s protocol was approved by the ethics committee of Southern Tohoku Research Institute for Neuroscience (178) and conformed to the ethical guidelines of the 1975 Declaration of Helsinki. All patients provided informed consent before undergoing SWE. All data were fully anonymized before we accessed them.

Liver stiffness measured using real-time SWE

SWE was performed before antiviral therapy and at SVR24. After conventional liver screening, real-time SWE was performed using the the Aixplorer ultrasound system with a convex broadband probe (SuperSonic Imagine S.A., Aix-en-Provence, France). The intercostal acoustic window was used to evaluate LS in the right liver lobe after a 6-h fast. The patient was placed in the supine position with their right arm raised and performed resting respiration for approximately 5s. The color box was placed at 1.5–3.0 cm below the liver capsule and in an area of parenchyma avoiding large vessels. In the color box, high elasticity is displayed in red and low elasticity is displayed in blue. A circular region of interest (ROI) with a diameter of 10 mm was defined in the color box to measure the mean, minimum, maximum, and standard deviation values for elasticity. The measurement was repeated three times, and the median value was used as the patient’s LS.

Surveillance and HCC diagnosis

Patients were monitored after achieving SVR for 3–4 months and underwent ultrasonography plus laboratory testing, which evaluated complete blood cell count, aspartate aminotransferase (AST), ALT, AFP, and des-gamma-carboxy prothrombin (DCP). In addition, patients underwent magnetic resonance imaging once a year. In cases with a nodular lesion detected using ultrasonography or elevated levels of a tumor maker, the patient underwent magnetic resonance imaging and/or computed tomography. The imaging results were evaluated for the presence of HCC, which was radiologically diagnosed based on typical hemodynamic signs of classical HCC (considerable intensification during the arterial phase followed by a washout with corona-like peripheral enhancement in the equilibrium phase).

Statistical analysis

Categorical variables were compared using the Kruskal-Wallis exact test or Fisher’s exact test. Median values of continuous variables were compared using the Mann-Whitney U-test. The rate of HCC development was evaluated using the Kaplan-Meier method and compared using the log-rank test. Univariate and multivariate analyses were performed to identify predictors of HCC using Cox proportional hazard regression models. All statistical tests were performed using IBM SPSS software (IBM Corp., Armonk NY), all tests were two-tailed, and differences with a P-value of <0.05 were considered statistically significant.

Results

Baseline characteristics and treatment effects

Table 1 shows the patients’ baseline characteristics before the antiviral therapy. The 196 patients included 89 men (45.4%) and 107 women (54.6%) with a median age of 62 years. The median follow-up period was 26 months (range: 5–109 months). Table 1 also shows the patients’ laboratory data, liver function, and SWE results at baseline and SVR24. Compared to baseline, the patients exhibited significant changes in the SVR24 values for ALT, AST, gamma-glutamyl transferase, albumin, platelet count, AFP, Fibrosis 4 index, and SWE. The shear wave elastography (SWE) results were 8.3 kPa (range: 3.4–36.2 kPa) at baseline and 5.9 kPa (range: 2.7–31.3 kPa) at week 24 of the sustained virological response (SVR24). This decrease was statistically significant (P < 0.001) (Fig 1). Among the 196 patients, 8 patients (4.1%) developed HCC after achieving SVR. The median time from SVR to HCC development was 28 months (range: 6–46 months). The cumulative incidences of HCC were 1.6% at 12 months, 1.6% at 24 months, 3.6% at 36 months, and 8.2% at 48 months (Fig 2).

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Fig 1. Shear wave elastography results at baseline and week 24 of the sustained virological response.

https://doi.org/10.1371/journal.pone.0195173.g001

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Fig 2. Cumulative incidence of hepatocellular carcinoma.

The 12-month, 24-month, 36-month, and 48-month cumulative incidence rates for hepatocellular carcinoma were 1.6%, 1.6%, 3.6%, and 8.2%, respectively.

https://doi.org/10.1371/journal.pone.0195173.g002

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Table 1. The patients’ baseline characteristics before antiviral therapy (n = 196).

https://doi.org/10.1371/journal.pone.0195173.t001

Risk factors for HCC development after HCV eradication

The univariate analyses revealed that the development of HCC was associated with six variables at SVR24: age, BMI, albumin, platelet count, AFP, Fibrosis 4 index, and SWE. These factors were evaluated in the multivariate analyses, which revealed that HCC development was independently associated with age of ≥75 years (risk ratio [RR] = 35.16, P = 0.001), AFP levels of ≥6 ng/mL (RR = 43.30, P = 0.003), and SWE results of ≥11 kPa (RR = 28.71, P = 0.006). HCV genotype (1b or others) and therapy (Interferon-based or DAAs) were not associated with development of HCC (Table 2). The cutoff values for predicting the development of HCC were determined by a receiver operator characteristics (ROC) analysis (Fig 3). From the ROC analysis, ages ≥75 years, AFP levels of ≥6 ng/mL, and SWE results of ≥11 kPa were identified as cutoff values. Negative predictive values were high at 0.981 in age, 0.989 in AFP, and 0.989 in SWE. This result suggested patients with age, AFP, and SWE levels below these cutoff values were at a lower risk for the development of HCC.

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Fig 3. Predictive values for age, AFP, and SWE levels.

ROC curve for predicting the development of HCC. Area under the ROC curve, 95% CI, cutoff value, sensitivity, specificity, negative predictive value (NPV), and positive predictive value are also shown.

https://doi.org/10.1371/journal.pone.0195173.g003

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Table 2. Univariate and multivariate analyses of risk factors for HCC development after SVR (n = 196).

https://doi.org/10.1371/journal.pone.0195173.t002

Cumulative incidences of HCC according to clinical factors

Fig 4A shows the cumulative incidences of HCC according to age at SVR24. Among 158 patients who were <75 years old, the incidences were 0% at 12 months, 0% at 24 months, 2.2% at 36 months, and 4.0% at 48 months. Among 38 patients who were ≥75 years old, the incidences were 8.2% at 12 months, 8.2% at 24 months, 8.2% at 36 months, and 54.1% at 48 months (P < 0.001).

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Fig 4. Incidences of hepatocellular carcinoma based on various factors.

(a) Among patients with sustained virological response after 24 weeks (SVR24), the cumulative incidence of hepatocellular carcinoma (HCC) was significantly different between patients who were <75 years old and those ≥75 years old (P < 0.001). (b) Among patients with SVR24, the cumulative incidence of HCC was significantly different between patients with alpha fetoprotein (AFP) levels of <6 ng/mL and ≥6 ng/mL (P < 0.001). (c) Among patients with SVR24, the cumulative incidence of HCC was significantly different between patients with shear wave elastography (SWE) results of <11 kPa and ≥11 kPa at 24 weeks (P < 0.001).

https://doi.org/10.1371/journal.pone.0195173.g004

Fig 4B shows the cumulative incidences of HCC according to AFP levels at SVR24. Among 173 patients with AFP levels of <6 ng/mL, the incidences were 0.6% at 12 months, 0.6% at 24 months, 0.6% at 36 months, and 2.3% at 48 months. Among 20 patients with AFP levels of ≥6 ng/mL, the incidences were 10.8% at 12 months, 18.3% at 24 months, 18.3% at 36 months, and 44.8% at 48 months (P < 0.001).

Fig 4C shows the cumulative incidences of HCC according to SWE results at SVR24. Among 174 patients with SWE results of <11 kPa, the incidences were 1.3% at 12 months, 1.3% at 24 months, 1.3% at 36 months, and 1.3% at 48 months. Among 22 patients with SWE results of ≥11 kPa, the incidences were 4.6% at 12 months, 4.6% at 24 months, 24.8% at 36 months, and 62.4% at 48 months (P < 0.001).

Discussion

This retrospective study evaluated risk factors or hepatocarcinogenesis after HCV eradication. The results indicate that the significant and independent risk factors for HCC development after SVR24 were age of ≥75 years, AFP levels of ≥6 ng/mL, and advanced liver fibrosis (SWE results of ≥11 kPa). Although the incidence of HCC in the present study was higher than the results of other studies, we believe this difference was related to the higher median age and progression of liver fibrosis in the present study. A recent study has also revealed that the incidences of HCC after SVR were similar between groups that received interferon-based therapy and interferon-free therapy (direct antiviral agents) [26], and this finding is consistent with our results.

Previous studies have revealed that the risk factors for HCC after SVR were older age, male sex, advanced liver fibrosis, and high levels of AFP and ALT [914]. In those studies, liver fibrosis was evaluated using liver biopsy, which is considered the gold standard for evaluating liver fibrosis. However, liver biopsy is also associated with severe complications, a risk of sampling error, and low patient acceptance. Real-time SWE may be a useful alternative, as a pilot study revealed that it provided an area under the receiver operating characteristic curve of 0.92 for differentiating absent and mild fibrosis (F0-F1) from significant fibrosis (≥F2) [23]. A recent retrospective study also revealed that patients with pretreatment LS measured using transient elastography (>12 kPa) had a high risk of developing HCC after SVR [27]. Those findings are consistent with our results.

In the present study, SWE results at SVR24 were significantly lower, compared to the baseline values. SWE findings are influenced by both tissue elasticity (fibrosis) and viscosity (inflammation). Because inflammation was improved at SVR24, it appears that SWE results at SVR24 provide a clear evaluation of liver fibrosis. Furthermore, a recent study suggested that SWE provides an accurate evaluation of liver fibrosis in patients who had achieved SVR [28].

Therefore, SWE with B-mode ultrasound may be useful for regularly measuring LS and screening for HCC after patients have achieved SVR. The present study has several limitations. First, the retrospective single-center design is associated with known risks of bias. Second, the follow-up period was not very long. Thus, prospective multi-center studies with longer follow-ups are needed to validate our findings. In addition, future studies should evaluate whether continued surveillance after SVR is a cost-effective approach.

In conclusion, HCC development after HCV eradication was independently associated with older age, elevated AFP levels, and high SWE values at SVR24. These findings indicate that SWE results may be an effective predictor of hepatocarcinogenesis after patients have achieved SVR, and may help reduce the reliance on liver biopsy to determine the degree of liver fibrosis and for risk of HCC development.

Supporting information

Acknowledgments

We thank Editage (www.editage.com) for English language editing and Publication Support.

References

  1. 1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015; 65: 87–108. pmid:25651787
  2. 2. El-Serag HB, Davila JA, Peterson NJ, McGlynn KA. The continuing increase in the incidence of hepatocellular carcinoma in the United States: an update. Ann Intern Med. 2003; 139: 817–823. pmid:14623619
  3. 3. Poynard T, Yuen MF, Ratzin V, Lai CL. Viral hepatitis C. Lancet. 2003; 62: 2095–2100.
  4. 4. Asahina Y, Tsuchiya K, Tamaki N, Hirayama I, Tanaka T, Sato M, et al. Effect of aging on risk for hepatocellular carcinoma in chronic hepatitis C virus infection. Hepatology. 2010; 52: 518–527. pmid:20683951
  5. 5. Ikeda K, Saitoh S, Arase Y, Chayama K, Suzuki Y, Kobayashi M, et al. Effect of interferon therapy on hepatocellular carcinogenesis in patients with chronic hepatitis type C: A long-term observation study of 1,643 patients using statistical bias correction with proportional hazard analysis. Hepatology. 1999; 29: 1124–1130. pmid:10094956
  6. 6. Ogawa E, Furusyo N, Kajiwara E, Takahashi K, Maruyama T, Tanabe Y, et al. Efficacy of pegylated interferon alpha-2b and ribavirin treatment on the risk of hepatocellular carcinoma in patients with chronic hepatitis C: a prospective, multicenter study. J Hepatol. 2013; 58: 495–501. pmid:23099187
  7. 7. Aleman S, Rahbin N, Weiland O, Davidsdottir L, Hedenstierna M, Rose N, et al. A risk for hepatocellular carcinoma persists long-term after sustained virologic response in patients with hepatitis C-associated liver cirrhosis. Clin Infect Dis. 2013; 57: 230–236. pmid:23616492
  8. 8. Reig M, Marino Z, Perello C, Inarrairaequi M, Ribeiro A, Lens S, et al. Unexpected high rate of early tumor recurrence in patients with HCV-related HCC undergoing interferon-free therapy. J Hepatol. 2016; 65: 719–726. pmid:27084592
  9. 9. Ikeda M, Fujiyama S, Tanaka M, Sata M, Ide T, Yatsuhashi H, et al. Risk factors for development of hepatocellular carcinoma in patients with chronic hepatitis C after sustained response to interferon. J Gastroenterol. 2005; 40: 148–156. pmid:15770398
  10. 10. Makiyama A, Itoh Y, Kasahara A, Imai Y, Kawata S, Yoshioka K, et al. Characteristics of patients with chronic hepatitis C who develop hepatocellular carcinoma after a sustained response to interferon therapy. Cancer. 2004; 101: 1616–1622. pmid:15378504
  11. 11. Nagaoki Y, Aikata H, Miyaki D, Murakami E, Hashimoto Y, Katamura Y, et al. Clinical features and prognosis in patients with hepatocellular carcinoma that developed after hepatitis C virus eradication with interferon therapy. J Gastroenterol. 2011; 46: 799–808. pmid:21373851
  12. 12. Oze T, Hiramatsu N, Yakushijin T, Miyazaki M, Yamada A, Oshita M, et al. Post-treatment levels of α-fetoprotein predict incidence of hepatocellular carcinoma after interferon therapy. Clin Gastroenterol Hepatol. 2014; 12: 1186–1195. pmid:24321207
  13. 13. Asahina Y, Tsuchiya K, Nishimura T, Muraoka M, Suzuki Y, Tamaki N, et al. α-fetoprotein levels after interferon therapy and risk of hepatocarcinogenesis in chronic hepatitis C. Hepatology. 2013; 58: 1253–1262. pmid:23564522
  14. 14. Tada T, Kumada T, Toyoda H, Kiriyama S, Tanikawa M, Hisanaga Y, et al. Post-treatment levels of α-fetoprotein predict long-term hepatocellular carcinoma development after sustained virological response in patients with hepatitis C. Hepatol Res. 2017; 10: 1021–1031.
  15. 15. Takaki S, Kawakami Y, Miyaki D, Nakahara N, Naeshiro N, Murakami E, et al. Non-invasive liver fibrosis score calculated by combination of virtual touch tissue quantification and serum liver functional tests in chronic hepatitis C patients. Hepatol Res. 2014; 44: 280–287. pmid:23607728
  16. 16. Shiraishi A, Horaoka A, Aibiki T, Okudaira T, Kawamura T, Imai Y, et al. Real-time tissue elastography: non-invasive evaluation of liver fibrosis in chronic liver disease due to HCV. Hepato-gastroenterology. 2014; 61: 2084–2090. pmid:25713914
  17. 17. Talwlkar JA, Kurtz DM, Schoenleber SJ, West CP, Montori VM. Ultrasound-based transient elastography for the detection of hepatic fibrosis: systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2007; 5: 1214–1220. pmid:17916549
  18. 18. Tsochatzis EA, Gurusamy KS, Ntoula S, Cholongitas E, Davidson BR, Burroughs AK. Elastography for the diagnosis of severity of fibrosis in chronic liver disease: a meta-analysis of diagnostic accuracy. J Hepatol. 2011; 54: 650–659. pmid:21146892
  19. 19. Tatsumi C, Kudo M, Ueshima K, Kitai S, Takahashi S, Inoue T, et al. Noninvasive evaluation of hepatic fibrosis using serum fibrotic markers, transient elastography (FibroScan) and real-time tissue elastography. Intervirology. 2008; 51 (Suppl 1): 27–33. pmid:18544945
  20. 20. Sporea I, Sirli RL, Deleanu A, Popescu A, Focsa M, Danila M, et al. Acoustic radiation force impulse elastography as compared to transient elastography and liver biopsy in patients with chronic hepatopathies. Ultraschall Med. 2011; 32 (Suppl) 1: S46–S52. pmid:20603783
  21. 21. Bavu E, Gennisson JL, Couade M, Bercoff J, Mallet V, Fink M, et al. Noninvasive in vivo liver fibrosis evaluation using supersonic shear imaging: a clinical study on 113 hepatitis C virus patients. Ultrasound Med Biol. 2011; 37: 1361–1373. pmid:21775051
  22. 22. Tapper EB, Afdahal NH. Vibration-controlled transient elastography: a practical approach to the noninvasive assessment of liver fibrosis. Curr Opin Gastroenterol. 2015; 31: 192–198. pmid:25730177
  23. 23. Ferraioli G, Tinelli C, Dal Bello B, Zicchetti M, Filice C. Accuracy of real-time shear wave elastography for assessing liver fibrosis in chronic hepatitis C: a pilot study. Hepatology 2012; 56: 2125–2133 [] pmid:22767302
  24. 24. Arima Y, Kawabe N, Hashimoto S, Harata M, Nitta Y, Murao M, et al. Reduction of liver stiffness by interferon treatment in the patients with chronic hepatitis C. Hepatol Res. 2010; 40: 383–392. pmid:20236358
  25. 25. Hézode C, Castéra L, Roudot-Thoraval F, Bouvier-Alias M, Rosa I, Roulot D, et al. Liver stiffness diminishes with antiviral response in chronic hepatitis C. Aliment Pharmacol Ther. 2011; 34: 656–663. pmid:21752038
  26. 26. Kobayashi M, Suzuki F, Fujiyama S, Kawamura Y, Sezaki H, Hosaka T, et al. Sustained virologic response by direct antiviral agents reduces the incidence of hepatocellular carcinoma in patients with HCV infection. J Med Virol. 2017; 89: 476–483. pmid:27531586
  27. 27. Wang JH, Yen YH, Yao CC, Hung CH, Chen CH, Hu TH, et al. Liver stiffness-based score in hepatoma risk assessment for chronic hepatitis C patients after successful antiviral therapy. Liver Int. 2016; 36: 1793–1799. pmid:27254286
  28. 28. Suda T, Okawa O, Masaoka R, Gyotoku Y, Tokutomi N, Katayama Y, et al. Shear wave elastography in hepatitis C patients before and after antiviral therapy. World J Hepatol. 2017; 9: 64–68. pmid:28105260