Skip to main content
Log in

Apparent diffusion coefficient quantification as an early imaging biomarker of response and predictor of survival following yttrium-90 radioembolization for unresectable infiltrative hepatocellular carcinoma with portal vein thrombosis

  • Published:
Abdominal Imaging Aims and scope Submit manuscript

An Erratum to this article was published on 01 July 2014

Abstract

Purpose

To investigate early diffusion-weighted imaging (DWI) at 30-days post-yttrium-90 (Y-90) radioembolization as a predictor of treatment response and survival in unresectable infiltrative hepatocellular carcinoma (HCC) with portal vein thrombosis (PVT).

Materials and methods

In a prospective study, 18 consecutive patients with unresectable infiltrative HCC and PVT underwent Y-90 therapy. MR imaging was obtained pre Y-90, and at 1 and 3 months post-therapy with DWI fat-suppressed tri-directional diffusion gradient (b = 50, 400, 800 s/mm2). Response was evaluated using target mRECIST and EASL. Relative change in apparent diffusion coefficient (ADC) value of tumors was evaluated. Statistical analysis using receiver operator characteristic curves was performed. Paired t test and Pearson correlation coefficient (r) were used to assess intra- and inter-observer variability. Survival analysis was performed using Kaplan-Meier estimation and log-rank test.

Results

Mean ADC values of all HCC’s at baseline and at 30-days post-Y90 therapy was 0.86 × 10−3 and 1.17×10−3 mm2/s, respectively (p < 0.001). Tumors with objective response by mRECIST had significantly increased ADC value when compared to “non-responders” (1.27 vs. 1.05×10−3 mm2/s, p = 0.002). A >30% increase in ADC value at 30-days was found to be at least 90% sensitive in predicting response at 90 days. A >30% increase in ADC value at 30-days predicted significantly prolonged survival.

Conclusion

A 30% increase in ADC value at 30-days measured post Y90 is a reproducible early imaging response biomarker predicting tumor response and prolonged survival following Y-90 therapy in infiltrative HCC with PVT.

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
Fig. 6

Similar content being viewed by others

References

  1. Kanematsu M, Semelka RC, Leonardou P, Mastropasqua M, Lee JK (2003) Hepatocellular carcinoma of diffuse type: MR imaging findings and clinical manifestations. J Magn Reson Imaging. 18(2):189–195

    Article  PubMed  Google Scholar 

  2. Jang ES, Yoon JH, Chung JW, et al. (2013) Survival of infiltrative hepatocellular carcinoma patients with preserved hepatic function after treatment with transarterial chemoembolization. J Cancer Res Clin Oncol. 139(4):635–643

    Article  PubMed  CAS  Google Scholar 

  3. Mazzaferro V, Sposito C, Bhoori S, et al. (2013) Yttrium-90 radioembolization for intermediate-advanced hepatocellular carcinoma: a phase 2 study. Hepatology. 57(5):1826–1837

    Article  PubMed  CAS  Google Scholar 

  4. Yaghmai V, Besa C, Kim E, et al. (2013) Imaging assessment of hepatocellular carcinoma response to locoregional and systemic therapy. AJR Am J Roentgenol. 201(1):80–96

    Article  PubMed  Google Scholar 

  5. Qayyum A (2009) Diffusion-weighted imaging in the abdomen and pelvis: concepts and applications. Radiographics. 29(6):1797–1810

    Article  PubMed  Google Scholar 

  6. Taouli B, Koh DM (2010) Diffusion-weighted MR imaging of the liver. Radiology. 254(1):47–66

    Article  PubMed  Google Scholar 

  7. Rhee TK, Naik NK, Deng J, et al. (2008) Tumor response after yttrium-90 radioembolization for hepatocellular carcinoma: comparison of diffusion-weighted functional MR imaging with anatomic MR imaging. J Vasc Interv Radiol. 19(8):1180–1186

    Article  PubMed  Google Scholar 

  8. Bruix J, Sherman M, Llovet JM, et al. (2001) Clinical management of hepatocellular carcinoma. Conclusions of the Barcelona-2000 EASL conference. European Association for the Study of the Liver. J Hepatol. 35(3):421–430

    Article  PubMed  CAS  Google Scholar 

  9. Lencioni R, Llovet JM (2010) Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis. 30(1):52–60

    Article  PubMed  CAS  Google Scholar 

  10. Lewandowski RJ, Sato KT, Atassi B, et al. (2007) Radioembolization with 90Y microspheres: angiographic and technical considerations. Cardiovasc Intervent Radiol. 30(4):571–592

    Article  PubMed  Google Scholar 

  11. Salem R, Thurston KG (2006) Radioembolization with 90Yttrium microspheres: a state-of-the-art brachytherapy treatment for primary and secondary liver malignancies. Part 1: Technical and methodologic considerations. J Vasc Interv Radiol. 17(8):1251–1278

    Article  PubMed  Google Scholar 

  12. Bruegel M, Holzapfel K, Gaa J, et al. (2008) Characterization of focal liver lesions by ADC measurements using a respiratory triggered diffusion-weighted single-shot echo-planar MR imaging technique. Eur Radiol. 18(3):477–485

    Article  PubMed  Google Scholar 

  13. Taouli B, Vilgrain V, Dumont E, et al. (2003) Evaluation of liver diffusion isotropy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences: prospective study in 66 patients. Radiology. 226(1):71–78

    Article  PubMed  Google Scholar 

  14. Yamada I, Aung W, Himeno Y, Nakagawa T, Shibuya H (1999) Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology. 210(3):617–623

    Article  PubMed  CAS  Google Scholar 

  15. Ichikawa T, Haradome H, Hachiya J, Nitatori T, Araki T (1998) Diffusion-weighted MR imaging with a single-shot echoplanar sequence: detection and characterization of focal hepatic lesions. AJR Am J Roentgenol. 170(2):397–402

    Article  PubMed  CAS  Google Scholar 

  16. Kim T, Murakami T, Takahashi S, et al. (1999) Diffusion-weighted single-shot echoplanar MR imaging for liver disease. AJR Am J Roentgenol. 173(2):393–398

    Article  PubMed  CAS  Google Scholar 

  17. Gourtsoyianni S, Papanikolaou N, Yarmenitis S, et al. (2008) Respiratory gated diffusion-weighted imaging of the liver: value of apparent diffusion coefficient measurements in the differentiation between most commonly encountered benign and malignant focal liver lesions. Eur Radiol. 18(3):486–492

    Article  PubMed  Google Scholar 

  18. Parikh T, Drew SJ, Lee VS, et al. (2008) Focal liver lesion detection and characterization with diffusion-weighted MR imaging: comparison with standard breath-hold T2-weighted imaging. Radiology. 246(3):812–822

    Article  PubMed  Google Scholar 

  19. Bruegel M, Gaa J, Waldt S, et al. (2008) Diagnosis of hepatic metastasis: comparison of respiration-triggered diffusion-weighted echo-planar MRI and five t2-weighted turbo spin-echo sequences. AJR Am J Roentgenol. 191(5):1421–1429

    Article  PubMed  Google Scholar 

  20. Muller MF, Prasad P, Siewert B, et al. (1994) Abdominal diffusion mapping with use of a whole-body echo-planar system. Radiology. 190(2):475–478

    Article  PubMed  CAS  Google Scholar 

  21. Vossen JA, Buijs M, Liapi E, et al. (2008) Receiver operating characteristic analysis of diffusion-weighted magnetic resonance imaging in differentiating hepatic hemangioma from other hypervascular liver lesions. J Comput Assist Tomogr. 32(5):750–756

    Article  PubMed  PubMed Central  Google Scholar 

  22. Koinuma M, Ohashi I, Hanafusa K, Shibuya H (2005) Apparent diffusion coefficient measurements with diffusion-weighted magnetic resonance imaging for evaluation of hepatic fibrosis. J Magn Reson Imaging. 22(1):80–85

    Article  PubMed  Google Scholar 

  23. Taouli B, Tolia AJ, Losada M, et al. (2007) Diffusion-weighted MRI for quantification of liver fibrosis: preliminary experience. AJR Am J Roentgenol. 189(4):799–806

    Article  PubMed  Google Scholar 

  24. Qayyum A, Nystrom M, Noworolski S. Accuracy of MR biometrics as a tool for predicting liver fibrosis in non-alcoholic fatty liver disease: incremental benefit of steatosis-corrected apparent diffusion coefficient [abstr]. Radiological Society of North America Scientific Assembly and Annual Meeting Program. 617. Oak Brook, Ill: Radiological Society of North America; 2008.

  25. Kamel IR, Liapi E, Reyes DK, et al. (2009) Unresectable hepatocellular carcinoma: serial early vascular and cellular changes after transarterial chemoembolization as detected with MR imaging. Radiology. 250(2):466–473

    Article  PubMed  Google Scholar 

  26. Deng J, Miller FH, Rhee TK, et al. (2006) Diffusion-weighted MR imaging for determination of hepatocellular carcinoma response to yttrium-90 radioembolization. J Vasc Interv Radiol. 17(7):1195–1200

    Article  PubMed  Google Scholar 

  27. Guo Y, Yaghmai V, Salem R, et al. (2013) Imaging tumor response following liver-directed intra-arterial therapy. Abdom Imaging. 38(6):1286–1299

    Article  PubMed  Google Scholar 

  28. van den Bos IC, Hussain SM, Krestin GP, Wielopolski PA (2008) Liver imaging at 3.0 T: diffusion-induced black-blood echo-planar imaging with large anatomic volumetric coverage as an alternative for specific absorption rate-intensive echo-train spin-echo sequences: feasibility study. Radiology. 248(1):264–271

    Article  PubMed  Google Scholar 

  29. Okada Y, Ohtomo K, Kiryu S, Sasaki Y (1998) Breath-hold T2-weighted MRI of hepatic tumors: value of echo planar imaging with diffusion-sensitizing gradient. J Comput Assist Tomogr. 22(3):364–371

    Article  PubMed  CAS  Google Scholar 

  30. Hussain SM, De Becker J, Hop WC, Dwarkasing S, Wielopolski PA (2005) Can a single-shot black-blood T2-weighted spin-echo echo-planar imaging sequence with sensitivity encoding replace the respiratory-triggered turbo spin-echo sequence for the liver? An optimization and feasibility study. J Magn Reson Imaging. 21(3):219–229

    Article  PubMed  Google Scholar 

  31. Koh DM, Scurr E, Collins D, et al. (2007) Predicting response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients. AJR Am J Roentgenol. 188(4):1001–1008

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nima Kokabi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kokabi, N., Camacho, J.C., Xing, M. et al. Apparent diffusion coefficient quantification as an early imaging biomarker of response and predictor of survival following yttrium-90 radioembolization for unresectable infiltrative hepatocellular carcinoma with portal vein thrombosis. Abdom Imaging 39, 969–978 (2014). https://doi.org/10.1007/s00261-014-0127-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-014-0127-8

Keywords

Navigation