Skip to main content
Log in

Association between spleen volume and the post-hepatectomy liver failure and overall survival of patients with hepatocellular carcinoma after resection

  • Gastrointestinal
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

Post-hepatectomy liver failure (PHLF) can occur as a major complication after hepatic resection (HR) in patients with hepatocellular carcinoma (HCC) and negatively affects the prognosis. We aimed to retrospectively assess whether the spleen volume (SV) measured from preoperative CT images would be associated with the development of PHLF and overall survival (OS) after HR in patients with HCC.

Methods

We enrolled 317 consecutive patients with very early/early stage HCC who underwent a preoperative CT and HR between January 2010 and December 2016. The SV was obtained from preoperative CT images using semi-automated volumetric software and was divided by body surface area to yield SVBSA. Receiver operating characteristic (ROC) curves and logistic regression analyses were performed to identify factors affecting the development of PHLF. The Cox proportional hazard model was used to identify prognostic factors for OS.

Results

PHLF was observed in 72 patients (22.7% [72/317]). SVBSA was associated with the development of PHLF (odds ratio, 2.321; 95% CI, 1.347–4.001; p = 0.002) with the area under the ROC curve of 0.663 using the cutoff value of 107.5 cm3 (p < 0.001). SVBSA was also an influencing factor for OS (hazard ratio, 3.935; 95% CI 1.520–10.184; p = 0.005), with the optimal cutoff of 146 cm3. The 5-year OS rate was higher in 245 patients with a SVBSA ≤ 146 cm3 than in 72 patients with a SVBSA > 146 cm3 (95.0% vs. 78.7%, p < 0.001).

Conclusions

In patients with HCC, a larger SVBSA was associated with a higher rate of PHLF and worse OS after HR. The SVBSA may be useful in selecting good surgical candidates.

Key Points

• A significantly higher spleen volume divided by body surface area was observed in patients who experienced post-hepatectomy liver failure than in patients who did not (148 cm 3 vs. 112 cm 3 , p < 0.001).

• The area under the receiver operating characteristic curve of spleen volume divided by body surface area to predict the development of post-hepatectomy liver failure was 0.663 (p < 0.001).

• Spleen volume divided by body surface area was a significant influencing factor for overall survival (hazard ratio, 3.935; 95% CI, 1.520–10.184; p < 0.001), with the optimal cutoff of 146 cm 3 .

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

AUC:

Area under the curve

HCC:

Hepatocellular carcinoma

HR:

Hepatic resection

HVPG:

Hepatic venous pressure gradient

ICG-R15:

Indocyanine green retention rate at 15 min

OS:

Overall survival

PHLF:

Post-hepatectomy liver failure

ROC:

Receiver operating characteristic

SV:

Spleen volume

References

  1. Mazzaferro V (2007) Results of liver transplantation: with or without Milan criteria? Liver Transpl 13:S44–S47

    PubMed  Google Scholar 

  2. Imamura H, Seyama Y, Kokudo N et al (2003) One thousand fifty-six hepatectomies without mortality in 8 years. Arch Surg 138:1198–1206

    PubMed  Google Scholar 

  3. Poon RT, Fan ST (2004) Hepatectomy for hepatocellular carcinoma: patient selection and postoperative outcome. Liver Transpl 10:S39–S45

    PubMed  Google Scholar 

  4. Cescon M, Colecchia A, Cucchetti A et al (2012) Value of transient elastography measured with FibroScan in predicting the outcome of hepatic resection for hepatocellular carcinoma. Ann Surg 256:706–712 discussion 712-703

    PubMed  Google Scholar 

  5. Hu H, Han H, Han XK, Wang WP, Ding H (2018) Nomogram for individualised prediction of liver failure risk after hepatectomy in patients with resectable hepatocellular carcinoma: the evidence from ultrasound data. Eur Radiol 28:877–885

    PubMed  Google Scholar 

  6. Asenbaum U, Kaczirek K, Ba-Ssalamah A et al (2018) Post-hepatectomy liver failure after major hepatic surgery: not only size matters. Eur Radiol 28:4748–4756

    PubMed  PubMed Central  Google Scholar 

  7. Theilig D, Steffen I, Malinowski M et al (2019) Predicting liver failure after extended right hepatectomy following right portal vein embolization with gadoxetic acid-enhanced MRI. Eur Radiol 29:5861–5872

    PubMed  Google Scholar 

  8. Garcea G, Maddern GJ (2009) Liver failure after major hepatic resection. J Hepatobiliary Pancreat Surg 16:145–155

    PubMed  Google Scholar 

  9. Lafaro K, Buettner S, Maqsood H et al (2015) Defining post hepatectomy liver insufficiency: where do we stand? J Gastrointest Surg 19:2079–2092

    PubMed  Google Scholar 

  10. Gatta A, Bolognesi M, Merkel C (2008) Vasoactive factors and hemodynamic mechanisms in the pathophysiology of portal hypertension in cirrhosis. Mol Aspects Med 29:119–129

    CAS  PubMed  Google Scholar 

  11. European Association for the Study of the Liver (2018) EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 69:182–236

  12. Marrero JA, Kulik LM, Sirlin CB et al (2018) Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American Association for the Study of Liver Diseases. Hepatology 68:723–750

    PubMed  Google Scholar 

  13. Bolognesi M, Merkel C, Sacerdoti D, Nava V, Gatta A (2002) Role of spleen enlargement in cirrhosis with portal hypertension. Dig Liver Dis 34:144–150

    CAS  PubMed  Google Scholar 

  14. Bezerra AS, D’Ippolito G, Faintuch S, Szejnfeld J, Ahmed M (2005) Determination of splenomegaly by CT: is there a place for a single measurement? AJR Am J Roentgenol 184:1510–1513

    PubMed  Google Scholar 

  15. Niederau C, Sonnenberg A, Muller JE, Erckenbrecht JF, Scholten T, Fritsch WP (1983) Sonographic measurements of the normal liver, spleen, pancreas, and portal vein. Radiology 149:537–540

    CAS  PubMed  Google Scholar 

  16. Lamb P, Lund A, Kanagasabay R, Martin A, Webb J, Reznek R (2002) Spleen size: how well do linear ultrasound measurements correlate with three-dimensional CT volume assessments? Br J Radiol 75:573–577

    CAS  PubMed  Google Scholar 

  17. Shah SH, Hayes PC, Allan PL, Nicoll J, Finlayson ND (1996) Measurement of spleen size and its relation to hypersplenism and portal hemodynamics in portal hypertension due to hepatic cirrhosis. Am J Gastroenterol 91:2580–2583

    CAS  PubMed  Google Scholar 

  18. Berzigotti A, Seijo S, Arena U et al (2013) Elastography, spleen size, and platelet count identify portal hypertension in patients with compensated cirrhosis. Gastroenterology 144:102–111 e101

    PubMed  Google Scholar 

  19. Suzuki T, Yamada A, Komatsu D et al (2018) Evaluation of splenic perfusion and spleen size using dynamic computed tomography: usefulness in assessing degree of liver fibrosis. Hepatol Res 48:87–93

    PubMed  Google Scholar 

  20. Berzigotti A, Zappoli P, Magalotti D, Tiani C, Rossi V, Zoli M (2008) Spleen enlargement on follow-up evaluation: a noninvasive predictor of complications of portal hypertension in cirrhosis. Clin Gastroenterol Hepatol 6:1129–1134

    PubMed  Google Scholar 

  21. Ehlken H, Wroblewski R, Corpechot C et al (2016) Spleen size for the prediction of clinical outcome in patients with primary sclerosing cholangitis. Gut 65:1230–1232

    PubMed  Google Scholar 

  22. Ehlken H, Wroblewski R, Corpechot C et al (2016) Validation of transient elastography and comparison with spleen length measurement for staging of fibrosis and clinical prognosis in primary sclerosing cholangitis. PLoS One 11:e0164224

    PubMed  PubMed Central  Google Scholar 

  23. Kucybala I, Ciuk S, Teczar J (2018) Spleen enlargement assessment using computed tomography: which coefficient correlates the strongest with the real volume of the spleen? Abdom Radiol (NY) 43:2455–2461

    Google Scholar 

  24. Iranmanesh P, Vazquez O, Terraz S et al (2014) Accurate computed tomography-based portal pressure assessment in patients with hepatocellular carcinoma. J Hepatol 60:969–974

    PubMed  Google Scholar 

  25. Li WX, Zhao XT, Chai WM et al (2010) Hepatitis B virus-induced liver fibrosis and cirrhosis: the value of liver and spleen volumetry with multi-detector spiral computed tomography. J Dig Dis 11:215–223

    PubMed  Google Scholar 

  26. Takeishi K, Kawanaka H, Itoh S et al (2018) Impact of splenic volume and splenectomy on prognosis of hepatocellular carcinoma within Milan criteria after curative hepatectomy. World J Surg 42:1120–1128

    PubMed  Google Scholar 

  27. Peng W, Zhang XY, Li C, Wen TF, Yan LN, Yang JY (2019) Spleen stiffness and volume help to predict posthepatectomy liver failure in patients with hepatocellular carcinoma. Medicine (Baltimore) 98:e15458

    Google Scholar 

  28. Fan ST, Lai EC, Lo CM, Ng IO, Wong J (1995) Hospital mortality of major hepatectomy for hepatocellular carcinoma associated with cirrhosis. Arch Surg 130:198–203

    CAS  PubMed  Google Scholar 

  29. Mosteller RD (1987) Simplified calculation of body-surface area. N Engl J Med 317:1098

    CAS  PubMed  Google Scholar 

  30. Chow KU, Luxembourg B, Seifried E, Bonig H (2016) Spleen size is significantly influenced by body height and sex: establishment of normal values for spleen size at US with a cohort of 1200 healthy individuals. Radiology 279:306–313

    PubMed  Google Scholar 

  31. Zhou XP, Lu T, Wei YG, Chen XZ (2007) Liver volume variation in patients with virus-induced cirrhosis: findings on MDCT. AJR Am J Roentgenol 189:W153–W159

    PubMed  Google Scholar 

  32. Yoshizumi T, Gondolesi GE, Bodian CA et al (2003) A simple new formula to assess liver weight. Transplant Proc 35:1415–1420

    CAS  PubMed  Google Scholar 

  33. (1994) Intraobserver and interobserver variations in liver biopsy interpretation in patients with chronic hepatitis C. The French METAVIR Cooperative Study Group. Hepatology 20:15–20

  34. Foucher J, Chanteloup E, Vergniol J et al (2006) Diagnosis of cirrhosis by transient elastography (FibroScan): a prospective study. Gut 55:403–408

    CAS  PubMed  PubMed Central  Google Scholar 

  35. Edmondson HA, Steiner PE (1954) Primary carcinoma of the liver: a study of 100 cases among 48,900 necropsies. Cancer 7:462–503

    CAS  PubMed  Google Scholar 

  36. Rahbari NN, Garden OJ, Padbury R et al (2011) Posthepatectomy liver failure: a definition and grading by the International Study Group of Liver Surgery (ISGLS). Surgery 149:713–724

    PubMed  Google Scholar 

  37. Lee DH, Lee JM, Lee JY et al (2015) Non-hypervascular hepatobiliary phase hypointense nodules on gadoxetic acid-enhanced MRI: risk of HCC recurrence after radiofrequency ablation. J Hepatol 62:1122–1130

    CAS  PubMed  Google Scholar 

  38. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174

    CAS  PubMed  Google Scholar 

  39. Contal C, O’Quigley J (1999) An application of changepoint methods in studying the effect of age on survival in breast cancer. Comput Stat Data Anal 30:253–270

    Google Scholar 

  40. Faraggi D, Simon R (1996) A simulation study of cross-validation for selecting an optimal cutpoint in univariate survival analysis. Stat Med 15:2203–2213

    CAS  PubMed  Google Scholar 

  41. Shindoh J, Makuuchi M, Matsuyama Y et al (2016) Complete removal of the tumor-bearing portal territory decreases local tumor recurrence and improves disease-specific survival of patients with hepatocellular carcinoma. J Hepatol 64:594–600

    PubMed  Google Scholar 

  42. Kaibori M, Yoshii K, Yokota I et al (2019) Impact of advanced age on survival in patients undergoing resection of hepatocellular carcinoma: report of a Japanese Nationwide Survey. Ann Surg 269:692–699

    PubMed  Google Scholar 

  43. Chen XL, Chen TW, Zhang XM et al (2015) Platelet count combined with right liver volume and spleen volume measured by magnetic resonance imaging for identifying cirrhosis and esophageal varices. World J Gastroenterol 21:10184–10191

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Bruix J, Castells A, Bosch J et al (1996) Surgical resection of hepatocellular carcinoma in cirrhotic patients: prognostic value of preoperative portal pressure. Gastroenterology 111:1018–1022

    CAS  PubMed  Google Scholar 

  45. Llovet JM, Fuster J, Bruix J (1999) Intention-to-treat analysis of surgical treatment for early hepatocellular carcinoma: resection versus transplantation. Hepatology 30:1434–1440

    CAS  PubMed  Google Scholar 

  46. Berzigotti A, Reig M, Abraldes JG, Bosch J, Bruix J (2015) Portal hypertension and the outcome of surgery for hepatocellular carcinoma in compensated cirrhosis: a systematic review and meta-analysis. Hepatology 61:526–536

    PubMed  Google Scholar 

  47. Etzion O, Takyar V, Novack V et al (2018) Spleen and liver volumetrics as surrogate markers of hepatic venous pressure gradient in patients with noncirrhotic portal hypertension. Hepatol Commun 2:919–928

    PubMed  PubMed Central  Google Scholar 

  48. Kim SU, Ahn SH, Park JY et al (2008) Prediction of postoperative hepatic insufficiency by liver stiffness measurement (FibroScan((R))) before curative resection of hepatocellular carcinoma: a pilot study. Hepatol Int 2:471–477

    PubMed  PubMed Central  Google Scholar 

  49. Poon RT, Fan ST, Lo CM et al (2002) Extended hepatic resection for hepatocellular carcinoma in patients with cirrhosis: is it justified? Ann Surg 236:602–611

    PubMed  PubMed Central  Google Scholar 

  50. Thabut D, Moreau R, Lebrec D (2011) Noninvasive assessment of portal hypertension in patients with cirrhosis. Hepatology 53:683–694

    PubMed  Google Scholar 

  51. Wong JS, Wong GL, Chan AW et al (2013) Liver stiffness measurement by transient elastography as a predictor on posthepatectomy outcomes. Ann Surg 257:922–928

    PubMed  Google Scholar 

  52. Castera L, Vergniol J, Foucher J et al (2005) Prospective comparison of transient elastography, Fibrotest, APRI, and liver biopsy for the assessment of fibrosis in chronic hepatitis C. Gastroenterology 128:343–350

    PubMed  Google Scholar 

  53. Leung VY, Shen J, Wong VW et al (2013) Quantitative elastography of liver fibrosis and spleen stiffness in chronic hepatitis B carriers: comparison of shear-wave elastography and transient elastography with liver biopsy correlation. Radiology 269:910–918

    PubMed  Google Scholar 

  54. Ahn YO (1996) Strategy for vaccination against hepatitis B in areas with high endemicity: focus on Korea. Gut 38(Suppl 2):S63–S66

    PubMed  PubMed Central  Google Scholar 

Download references

Funding

The authors state that this work has not received any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dong Ho Lee.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Dong Ho Lee.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

The authors appreciate the Medical Research Collaborating Center at Seoul National University Hospital for their statistical analysis and consultation.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective

• case-control study

• performed at one institution

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 17 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bae, J.S., Lee, D.H., Yoo, J. et al. Association between spleen volume and the post-hepatectomy liver failure and overall survival of patients with hepatocellular carcinoma after resection. Eur Radiol 31, 2461–2471 (2021). https://doi.org/10.1007/s00330-020-07313-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-020-07313-7

Keywords

Navigation