Abdominal Radiology

, Volume 41, Issue 4, pp 600–616 | Cite as

Hepatic imaging following intra-arterial embolotherapy

  • Joseph Ralph Kallini
  • Frank H. Miller
  • Ahmed Gabr
  • Riad Salem
  • Robert J. Lewandowski
Pictorial essay

Abstract

Purpose

To discuss guidelines and salient imaging findings of solid tumors treated with common intra-arterial procedures used in interventional oncology.

Methods

A meticulous literature search of PubMed-indexed articles was conducted. Key words included “imaging + embolization,” “imaging + TACE,” “imaging + radioembolization,” “imaging + Y90,” “mRECIST,” and “EASL.” Representative post-treatment cross-sectional images were obtained from past cases in this institution.

Results

Intra-arterial therapy (IAT) in interventional oncology includes bland embolization, chemoembolization, and radioembolization. Solid tumors of the liver are the primary focus of these procedures. Cross-sectional CT and/or MR are the main modalities used to image tumors after treatment. Traditional size-based response criteria (WHO and RECIST) alone are of limited utility in determining response to IAT; tumoral necrosis and enhancement must be considered. Specifically for HCC, the EASL and mRECIST guidelines are becoming widely adopted response criteria to assess these factors. DWI, FDG-PET, and CEUS are modalities that play an adjunctive but controversial role.

Conclusions

Radiologists must be aware that the different forms of intra-arterial therapy yield characteristic findings on cross-sectional imaging. Knowledge of these findings is integral to accurate assessment of tumor response and progression.

Keywords

Computed tomography (CT) HCC Intra-arterial embolotherapies Modified RECIST (mRECIST) MR imaging Response assessment 

Abbreviations

AASLD

American Association for the Study of Liver Disease

ADC

Apparent diffusion coefficient

AFP

Alpha-fetoprotein

CEUS

Contrast-enhanced ultrasonography

CT

Computerized tomography

cTACE

Conventional trans-arterial chemoembolization

DEB-TACE

Drug-eluting bead trans-arterial chemoembolization

DECT

Dual-energy computerized tomography

DWI

Diffusion weighted imaging

EASL

European Association for the Study of Liver

FDG-PET

Fluorodeoxyglucose-positron emission tomography

HCC

Hepatocellular carcinoma

IAT

Intra-arterial therapy

LRT

Locoregional therapy

mCRC

Metastatic colorectal carcinoma

MDCT

Multi-detector computed tomography

mRECIST

Modified response evaluation criteria in solid tumors

MRI

Gadolinium-enhanced magnetic resonance imaging

qEASL

Quantitative European Association for the Study of Liver

RECIST

Response Evaluation Criteria in Solid Tumors

ROI

Region of interest

TACE

Trans-arterial chemoembolization

TAE

Trans-arterial embolization

TARE

Trans-arterial radioembolization

UNOS

United Network for Organ Sharing

WHO

World Health Organization

vRECIST

Volumetric Response Evaluation Criteria in Solid Tumors

Y90

Yttrium-90

Notes

Compliance with ethical standards

Conflict of Interest

RJL and RS are advisors to BTG international. None of the other authors report a conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Funding

There was no funding provided for this study.

Informed consent

Institutional Review Board approval was obtained for cross-sectional imaging included in this review. For this type of study, formal consent is not required.

References

  1. 1.
    Hickey R, Vouche M, Sze D, et al. (2013) Cancer concepts and principles: primer for the interventional oncologist-Part II. J Vasc Interv Radiol 24(8):1167–1188. doi: 10.1016/j.jvir.2013.04.023 CrossRefPubMedPubMedCentralGoogle Scholar
  2. 2.
    Paul SB, Sharma H (2014) Role of transcatheter intra-arterial therapies for hepatocellular carcinoma. J Clin Exp Hepatol 4(Suppl 3):S112–121. doi: 10.1016/j.jceh.2014.03.048 CrossRefPubMedPubMedCentralGoogle Scholar
  3. 3.
    Adam SZ, Miller FH (2015) Imaging of the liver following interventional therapy for hepatic neoplasms. Radiol Clin N Am 53(5):1061–1076. doi: 10.1016/j.rcl.2015.05.009 CrossRefPubMedGoogle Scholar
  4. 4.
    Vilarinho S, Taddei T (2015) Therapeutic strategies for hepatocellular carcinoma: new advances and challenges. Curr Treatm Options Gastroenterol 13(2):219–234. doi: 10.1007/s11938-015-0049-8 CrossRefGoogle Scholar
  5. 5.
    Brown DB, Nikolic B, Covey AM, et al. (2012) Quality improvement guidelines for transhepatic arterial chemoembolization, embolization, and chemotherapeutic infusion for hepatic malignancy. J Vasc Interv Radiol 23(3):287–294. doi: 10.1016/j.jvir.2011.11.029 CrossRefPubMedGoogle Scholar
  6. 6.
    Minocha J, Salem R, Lewandowski RJ (2014) Transarterial chemoembolization and yittrium-90 for liver cancer and other lesions. Clin Liver Dis 18(4):877–890. doi: 10.1016/j.cld.2014.07.007 CrossRefPubMedGoogle Scholar
  7. 7.
    Bruix J, Sherman M (2011) Management of hepatocellular carcinoma: an update. Hepatology 53(3):1020–1022. doi: 10.1002/hep.24199 CrossRefPubMedPubMedCentralGoogle Scholar
  8. 8.
    SIRS-Spheres Yttrium-90 microspheres package insert. Singapore Science Park SSM.Google Scholar
  9. 9.
    TheraSphere Yttrium-90 microspheres package insert. Kanata CMN.Google Scholar
  10. 10.
    Hickey R, Mulcahy MF, Lewandowski RJ, et al. (2014) Chemoradiation of hepatic malignancies: prospective, phase 1 study of full-dose capecitabine with escalating doses of yttrium-90 radioembolization. Int J Radiat Oncol Biol Phys 88(5):1025–1031. doi: 10.1016/j.ijrobp.2013.12.040 CrossRefPubMedGoogle Scholar
  11. 11.
    Memon K, Kulik L, Lewandowski RJ, et al. (2013) Radioembolization for hepatocellular carcinoma with portal vein thrombosis: impact of liver function on systemic treatment options at disease progression. J Hepatol 58(1):73–80. doi: 10.1016/j.jhep.2012.09.003 CrossRefPubMedPubMedCentralGoogle Scholar
  12. 12.
    Boas FE, Do B, Louie JD, et al. (2015) Optimal imaging surveillance schedules after liver-directed therapy for hepatocellular carcinoma. J Vasc Interv Radiol 26(1):69–73. doi: 10.1016/j.jvir.2014.09.013 CrossRefPubMedGoogle Scholar
  13. 13.
    Minocha J, Lewandowski RJ (2015) Assessing imaging response to therapy. Radiol Clin N Am 53(5):1077–1088. doi: 10.1016/j.rcl.2015.05.010 CrossRefPubMedGoogle Scholar
  14. 14.
    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. doi: 10.2214/ajr.13.10706 CrossRefPubMedGoogle Scholar
  15. 15.
    Wald C, Russo MW, Heimbach JK, et al. (2013) New OPTN/UNOS policy for liver transplant allocation: standardization of liver imaging, diagnosis, classification, and reporting of hepatocellular carcinoma. Radiology 266(2):376–382. doi: 10.1148/radiol.12121698 CrossRefPubMedGoogle Scholar
  16. 16.
    Silva AC, Morse BG, Hara AK, et al. (2011) Dual-energy (spectral) CT: applications in abdominal imaging. Radiographics 31(4):1031–1046 (discussion 1047–1050). doi: 10.1148/rg.314105159 CrossRefPubMedGoogle Scholar
  17. 17.
    Brennan IM, Ahmed M (2013) Imaging features following transarterial chemoembolization and radiofrequency ablation of hepatocellular carcinoma. Semin Ultrasound CT MR 34(4):336–351. doi: 10.1053/j.sult.2013.04.004 CrossRefPubMedGoogle Scholar
  18. 18.
    Arif-Tiwari H, Kalb B, Chundru S, et al. (2014) MRI of hepatocellular carcinoma: an update of current practices. Diagn Interv Radiol 20(3):209–221. doi: 10.5152/dir.2014.13370 CrossRefPubMedPubMedCentralGoogle Scholar
  19. 19.
    Halappa VG, Bonekamp S, Corona-Villalobos CP, et al. (2012) Intrahepatic cholangiocarcinoma treated with local-regional therapy: quantitative volumetric apparent diffusion coefficient maps for assessment of tumor response. Radiology 264(1):285–294. doi: 10.1148/radiol.12112142 CrossRefPubMedGoogle Scholar
  20. 20.
    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. doi: 10.1097/01.rvi.0000227234.81718.eb CrossRefPubMedGoogle Scholar
  21. 21.
    Barabasch A, Kraemer NA, Ciritsis A, et al. (2015) Diagnostic accuracy of diffusion-weighted magnetic resonance imaging versus positron emission tomography/computed tomography for early response assessment of liver metastases to Y90-radioembolization. Investig Radiol 50(6):409–415. doi: 10.1097/rli.0000000000000144 CrossRefGoogle Scholar
  22. 22.
    Li Z, Bonekamp S, Halappa VG, et al. (2012) Islet cell liver metastases: assessment of volumetric early response with functional MR imaging after transarterial chemoembolization. Radiology 264(1):97–109. doi: 10.1148/radiol.12112161 CrossRefPubMedGoogle Scholar
  23. 23.
    Corona-Villalobos CP, Kamel IR (2014) Functional volumetric MRI in assessing treatment response to intra-arterial therapy of primary and secondary liver tumors. J Comput Assist Tomogr 38(4):513–517. doi: 10.1097/rct.0000000000000072 CrossRefPubMedGoogle Scholar
  24. 24.
    Gowdra Halappa V, Corona-Villalobos CP, Bonekamp S, et al. (2013) Neuroendocrine liver metastasis treated by using intraarterial therapy: volumetric functional imaging biomarkers of early tumor response and survival. Radiology 266(2):502–513. doi: 10.1148/radiol.12120495 CrossRefPubMedGoogle Scholar
  25. 25.
    Song MJ, Bae SH, Yoo Ie R, et al. (2012) Predictive value of (1)(8)F-fluorodeoxyglucose PET/CT for transarterial chemolipiodolization of hepatocellular carcinoma. World J Gastroenterol 18(25):3215–3222. doi: 10.3748/wjg.v18.i25.3215 PubMedPubMedCentralGoogle Scholar
  26. 26.
    Agarwal A, Marcus C, Xiao J, et al. (2014) FDG PET/CT in the management of colorectal and anal cancers. AJR Am J Roentgenol 203(5):1109–1119. doi: 10.2214/ajr.13.12256 CrossRefPubMedGoogle Scholar
  27. 27.
    El-Gazzaz G, Sourianarayanane A, Menon KV, et al. (2013) Radiologic-histological correlation of hepatocellular carcinoma treated via pre-liver transplant locoregional therapies. Hepatobiliary Pancreat Dis Int 12(1):34–41CrossRefPubMedGoogle Scholar
  28. 28.
    Gulec SA, Suthar RR, Barot TC, Pennington K (2011) The prognostic value of functional tumor volume and total lesion glycolysis in patients with colorectal cancer liver metastases undergoing 90Y selective internal radiation therapy plus chemotherapy. Eur J Nucl Med Mol Imaging 38(7):1289–1295. doi: 10.1007/s00259-011-1758-4 CrossRefPubMedGoogle Scholar
  29. 29.
    Sabet A, Meyer C, Aouf A, et al. (2015) Early post-treatment FDG PET predicts survival after 90Y microsphere radioembolization in liver-dominant metastatic colorectal cancer. Eur J Nucl Med Mol Imaging 42(3):370–376. doi: 10.1007/s00259-014-2935-z CrossRefPubMedGoogle Scholar
  30. 30.
    Ma W, Jia J, Wang S, et al. (2014) The prognostic value of 18F-FDG PET/CT for hepatocellular carcinoma treated with transarterial chemoembolization (TACE). Theranostics 4(7):736–744. doi: 10.7150/thno.8725 CrossRefPubMedPubMedCentralGoogle Scholar
  31. 31.
    Edalat F, Camacho JC, Kokabi N, et al. (2015) Standardized added metabolic activity (SAM) predicts survival after intra-arterial resin-based 90Y radioembolization therapy in unresectable chemorefractory metastatic colorectal cancer to the liver. Clin Nucl Med . doi: 10.1097/rlu.0000000000000991 Google Scholar
  32. 32.
    Bagni O, Filippi L, Schillaci O (2015) The role of (18)F-FDG positron emission tomography in the follow-up of liver tumors treated with (90)Yttrium radioembolization. Am J Nucl Med Mol Imaging 5(3):220–232PubMedPubMedCentralGoogle Scholar
  33. 33.
    Hartenbach M, Weber S, Albert NL, et al. (2015) Evaluating treatment response of radioembolization in intermediate-stage hepatocellular carcinoma patients using 18F-fluoroethylcholine PET/CT. J Nucl Med 56(11):1661–1666. doi: 10.2967/jnumed.115.158758 CrossRefPubMedGoogle Scholar
  34. 34.
    Khan MA, Combs CS, Brunt EM, et al. (2000) Positron emission tomography scanning in the evaluation of hepatocellular carcinoma. J Hepatol 32(5):792–797CrossRefPubMedGoogle Scholar
  35. 35.
    Wahl RL, Jacene H, Kasamon Y, Lodge MA (2009) From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J Nucl Med 50(Suppl 1):122s–150s. doi: 10.2967/jnumed.108.057307 CrossRefPubMedPubMedCentralGoogle Scholar
  36. 36.
    Ding Q, Cheng X, Yang L, et al. (2014) PET/CT evaluation of response to chemotherapy in non-small cell lung cancer: PET response criteria in solid tumors (PERCIST) versus response evaluation criteria in solid tumors (RECIST). J Thorac Dis 6(6):677–683. doi: 10.3978/j.issn.2072-1439.2014.05.10 PubMedPubMedCentralGoogle Scholar
  37. 37.
    Kim HJ, Kim TK, Kim PN, et al. (2006) Assessment of the therapeutic response of hepatocellular carcinoma treated with transcatheter arterial chemoembolization: comparison of contrast-enhanced sonography and 3-phase computed tomography. J Ultrasound Med 25(4):477–486PubMedGoogle Scholar
  38. 38.
    Moschouris H, Malagari K, Marinis A, et al. (2012) Hepatocellular carcinoma treated with transarterial chemoembolization: evaluation with parametric contrast-enhanced ultrasonography. World J Radiol 4(8):379–386. doi: 10.4329/wjr.v4.i8.379 CrossRefPubMedPubMedCentralGoogle Scholar
  39. 39.
    Bartolotta TV, Taibbi A, Matranga D, Midiri M, Lagalla R (2015) 3D versus 2D contrast-enhanced sonography in the evaluation of therapeutic response of hepatocellular carcinoma after locoregional therapies: preliminary findings. Radiol Med 120(8):695–704. doi: 10.1007/s11547-015-0514-4 CrossRefPubMedGoogle Scholar
  40. 40.
    Quaia E, Lorusso A, Grisi G, Stacul F, Cova MA (2012) The role of CEUS in the characterization of hepatocellular nodules detected during the US surveillance program-current practices in Europe. Ultraschall Med 33(Suppl 1):S48–56. doi: 10.1055/s-0032-1312899 PubMedGoogle Scholar
  41. 41.
    Moschouris H, Malagari K, Papadaki MG, et al. (2014) mRECIST criteria and contrast-enhanced US for the assessment of the response of hepatocellular carcinoma to transarterial chemoembolization. Diagn Interv Radiol 20(2):136–142. doi: 10.5152/dir.2013.13282 PubMedPubMedCentralGoogle Scholar
  42. 42.
    Therasse P, Arbuck SG, Eisenhauer EA, et al. (2000) New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Instit 92(3):205–216CrossRefGoogle Scholar
  43. 43.
    Bruix J, Sherman M (2005) Management of hepatocellular carcinoma. Hepatology 42(5):1208–1236. doi: 10.1002/hep.20933 CrossRefPubMedGoogle Scholar
  44. 44.
    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):421–430CrossRefPubMedGoogle Scholar
  45. 45.
    Miller FH, Keppke AL, Reddy D, et al. (2007) Response of liver metastases after treatment with yttrium-90 microspheres: role of size, necrosis, and PET. AJR Am J Roentgenol 188(3):776–783. doi: 10.2214/ajr.06.0707 CrossRefPubMedGoogle Scholar
  46. 46.
    Shuster A, Huynh TJ, Rajan DK, et al. (2013) Response Evaluation Criteria in Solid Tumors (RECIST) criteria are superior to European Association for Study of the Liver (EASL) criteria at 1 month follow-up for predicting long-term survival in patients treated with transarterial chemoembolization before liver transplantation for hepatocellular cancer. J Vasc Interv Radiol 24(6):805–812. doi: 10.1016/j.jvir.2013.01.499 CrossRefPubMedGoogle Scholar
  47. 47.
    Donati OF, Do RK, Hotker AM, et al. (2015) Interreader and inter-test agreement in assessing treatment response following transarterial embolization for hepatocellular carcinoma. Eur Radiol 25(9):2779–2788. doi: 10.1007/s00330-015-3677-4 CrossRefPubMedGoogle Scholar
  48. 48.
    Riaz A, Memon K, Miller FH, et al. (2011) Role of the EASL, RECIST, and WHO response guidelines alone or in combination for hepatocellular carcinoma: radiologic-pathologic correlation. J Hepatol 54(4):695–704. doi: 10.1016/j.jhep.2010.10.004 CrossRefPubMedPubMedCentralGoogle Scholar
  49. 49.
    Lencioni R, Llovet JM (2010) Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis 30(1):52–60. doi: 10.1055/s-0030-1247132 CrossRefPubMedGoogle Scholar
  50. 50.
    Odisio BC, Galastri F, Avritscher R, et al. (2014) Hepatocellular carcinomas within the Milan criteria: predictors of histologic necrosis after drug-eluting beads transarterial chemoembolization. Cardiovasc Interv Radiol 37(4):1018–1026. doi: 10.1007/s00270-013-0759-z CrossRefGoogle Scholar
  51. 51.
    Prajapati HJ, Spivey JR, Hanish SI, et al. (2013) mRECIST and EASL responses at early time point by contrast-enhanced dynamic MRI predict survival in patients with unresectable hepatocellular carcinoma (HCC) treated by doxorubicin drug-eluting beads transarterial chemoembolization (DEB TACE). Ann Oncol 24(4):965–973. doi: 10.1093/annonc/mds605 CrossRefPubMedGoogle Scholar
  52. 52.
    Seyal AR, Gonzalez-Guindalini FD, Arslanoglu A, et al. (2015) Reproducibility of mRECIST in assessing response to transarterial radioembolization therapy in hepatocellular carcinoma. Hepatology 62(4):1111–1121. doi: 10.1002/hep.27915 CrossRefPubMedGoogle Scholar
  53. 53.
    Lin MD, Pellerin O, Bhagat N, et al. (2012) Quantitative and Volumetric EASL and RECIST: feasibility of a semi-automated software method to assess tumor response after transcatheter arterial chemoembolization (TACE). J Vasc Interv Radiol 23(12):1629–1637. doi: 10.1016/j.jvir.2012.08.028 CrossRefPubMedPubMedCentralGoogle Scholar
  54. 54.
    Tacher V, Lin M, Duran R, et al. (2015) Comparison of existing response criteria in patients with hepatocellular carcinoma treated with transarterial chemoembolization using a 3D quantitative approach. Radiology . doi: 10.1148/radiol.2015142951 Google Scholar
  55. 55.
    Wang Z, Chapiro J, Schernthaner R, et al. (2015) Multimodality 3D tumor segmentation in HCC patients treated with TACE. Acad Radiol 22(7):840–845. doi: 10.1016/j.acra.2015.03.001 CrossRefPubMedGoogle Scholar
  56. 56.
    Chapiro J, Wood LD, Lin M, et al. (2014) Radiologic-pathologic analysis of contrast-enhanced and diffusion-weighted MR imaging in patients with HCC after TACE: diagnostic accuracy of 3D quantitative image analysis. Radiology 273(3):746–758. doi: 10.1148/radiol.14140033 CrossRefPubMedPubMedCentralGoogle Scholar
  57. 57.
    Riaz A, Miller FH, Kulik LM, et al. (2010) Imaging response in the primary index lesion and clinical outcomes following transarterial locoregional therapy for hepatocellular carcinoma. JAMA 303(11):1062–1069. doi: 10.1001/jama.2010.262 CrossRefPubMedPubMedCentralGoogle Scholar
  58. 58.
    Ibrahim SM, Nikolaidis P, Miller FH, et al. (2009) Radiologic findings following Y90 radioembolization for primary liver malignancies. Abdom Imaging 34(5):566–581. doi: 10.1007/s00261-008-9454-y CrossRefPubMedGoogle Scholar
  59. 59.
    Memon K, Kulik L, Lewandowski RJ, et al. (2012) Alpha-fetoprotein response correlates with EASL response and survival in solitary hepatocellular carcinoma treated with transarterial therapies: a subgroup analysis. J Hepatol 56(5):1112–1120. doi: 10.1016/j.jhep.2011.11.020 CrossRefPubMedPubMedCentralGoogle Scholar
  60. 60.
    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. doi: 10.1148/radiol.2502072222 CrossRefPubMedGoogle Scholar
  61. 61.
    Yoon HM, Kim JH, Kim EJ, et al. (2013) Modified cisplatin-based transcatheter arterial chemoembolization for large hepatocellular carcinoma: multivariate analysis of predictive factors for tumor response and survival in a 163-patient cohort. J Vasc Interv Radiol 24(11):1639–1646. doi: 10.1016/j.jvir.2013.06.017 CrossRefPubMedGoogle Scholar
  62. 62.
    Chapiro J, Duran R, Lin M, et al. (2015) Transarterial chemoembolization in soft-tissue sarcoma metastases to the liver—the use of imaging biomarkers as predictors of patient survival. Eur J Radiol 84(3):424–430. doi: 10.1016/j.ejrad.2014.11.034 CrossRefPubMedPubMedCentralGoogle Scholar
  63. 63.
    Duran R, Chapiro J, Frangakis C, et al. (2014) Uveal melanoma metastatic to the liver: the role of quantitative volumetric contrast-enhanced MR imaging in the assessment of early tumor response after transarterial chemoembolization. Transl Oncol 7(4):447–455. doi: 10.1016/j.tranon.2014.05.004 CrossRefPubMedPubMedCentralGoogle Scholar
  64. 64.
    Vesselle G, Quirier-Leleu C, Velasco S, et al. (2015) Predictive factors for complete response of chemoembolization with drug-eluting beads (DEB-TACE) for hepatocellular carcinoma. Eur Radiol . doi: 10.1007/s00330-015-3982-y PubMedGoogle Scholar
  65. 65.
    Agnello F, Salvaggio G, Cabibbo G, et al. (2013) Imaging appearance of treated hepatocellular carcinoma. World J Hepatol 5(8):417–424. doi: 10.4254/wjh.v5.i8.417 CrossRefPubMedPubMedCentralGoogle Scholar
  66. 66.
    Kim HC, Kim AY, Han JK, et al. (2002) Hepatic arterial and portal venous phase helical CT in patients treated with transcatheter arterial chemoembolization for hepatocellular carcinoma: added value of unenhanced images. Radiology 225(3):773–780. doi: 10.1148/radiol.2253011346 CrossRefPubMedGoogle Scholar
  67. 67.
    Takayasu K, Arii S, Matsuo N, et al. (2000) Comparison of CT findings with resected specimens after chemoembolization with iodized oil for hepatocellular carcinoma. AJR Am J Roentgenol 175(3):699–704. doi: 10.2214/ajr.175.3.1750699 CrossRefPubMedGoogle Scholar
  68. 68.
    Kim DJ, Clark PJ, Heimbach J, et al. (2014) Recurrence of hepatocellular carcinoma: importance of mRECIST response to chemoembolization and tumor size. Am J Transpl 14(6):1383–1390. doi: 10.1111/ajt.12684 CrossRefGoogle Scholar
  69. 69.
    Yeo DM, Choi JI, Lee YJ, et al. (2014) Comparison of RECIST, mRECIST, and choi criteria for early response evaluation of hepatocellular carcinoma after transarterial chemoembolization using drug-eluting beads. J Comput Assist Tomogr 38(3):391–397. doi: 10.1097/rct.0000000000000070 CrossRefPubMedGoogle Scholar
  70. 70.
    Hyun D, Shin SW, Cho SK, et al. (2014) Efficacy of RECIST and mRECIST criteria as prognostic factors in patients undergoing repeated iodized oil chemoembolization of intermediate stage hepatocellular carcinoma. Acta Radiol . doi: 10.1177/0284185114560937 Google Scholar
  71. 71.
    Kloeckner R, Otto G, Biesterfeld S, et al. (2010) MDCT versus MRI assessment of tumor response after transarterial chemoembolization for the treatment of hepatocellular carcinoma. Cardiov Interv Radiol 33(3):532–540. doi: 10.1007/s00270-009-9728-y CrossRefGoogle Scholar
  72. 72.
    Imai N, Katano Y, Kuzuya T, et al. (2013) An increase in lesion density can predict lower local recurrence after transarterial chemoembolization in patients with hepatocellular carcinoma. Hepato-gastroenterology 60(125):965–970. doi: 10.5754/hge121229 PubMedGoogle Scholar
  73. 73.
    Gervais DA, Kalva S, Thabet A (2009) Percutaneous image-guided therapy of intra-abdominal malignancy: imaging evaluation of treatment response. Abdom Imaging 34(5):593–609. doi: 10.1007/s00261-008-9476-5 CrossRefPubMedGoogle Scholar
  74. 74.
    Lim HK, Han JK (2002) Hepatocellular carcinoma: evaluation of therapeutic response to interventional procedures. Abdom Imaging 27(2):168–179CrossRefPubMedGoogle Scholar
  75. 75.
    Wang Z, Chen R, Duran R, et al. (2015) Intraprocedural 3D quantification of lipiodol deposition on cone-beam CT predicts tumor response after transarterial chemoembolization in patients with hepatocellular carcinoma. Cardiovasc Interv Radiol . doi: 10.1007/s00270-015-1129-9 Google Scholar
  76. 76.
    Chen R, Geschwind JF, Wang Z, Tacher V, Lin M (2013) Quantitative assessment of lipiodol deposition after chemoembolization: comparison between cone-beam CT and multidetector CT. J Vasc Interv Radiol 24(12):1837–1844. doi: 10.1016/j.jvir.2013.08.017 CrossRefPubMedGoogle Scholar
  77. 77.
    Kamel IR, Bluemke DA, Eng J, et al. (2006) The role of functional MR imaging in the assessment of tumor response after chemoembolization in patients with hepatocellular carcinoma. J Vasc Interv Radiol 17(3):505–512. doi: 10.1097/01.rvi.0000200052.02183.92 CrossRefPubMedGoogle Scholar
  78. 78.
    Mannelli L, Kim S, Hajdu CH, et al. (2009) Assessment of tumor necrosis of hepatocellular carcinoma after chemoembolization: diffusion-weighted and contrast-enhanced MRI with histopathologic correlation of the explanted liver. AJR Am J Roentgenol 193(4):1044–1052. doi: 10.2214/ajr.08.1461 CrossRefPubMedGoogle Scholar
  79. 79.
    Shinagawa Y, Sakamoto K, Fujimitsu R, et al. (2012) Pseudolesion of the liver on gadoxetate disodium-enhanced MR images obtained after transarterial chemoembolization for hepatocellular carcinoma: clinicoradiologic correlation. AJR Am J Roentgenol 199(5):1010–1017. doi: 10.2214/ajr.11.8204 CrossRefPubMedGoogle Scholar
  80. 80.
    Lee S, Kim KA, Park MS, Choi SY (2015) MRI findings and prediction of time to progression of patients with hepatocellular carcinoma treated with drug-eluting bead transcatheter arterial chemoembolization. J Korean Med Sci 30(7):965–973. doi: 10.3346/jkms.2015.30.7.965 CrossRefPubMedPubMedCentralGoogle Scholar
  81. 81.
    Kokabi N, Camacho JC, Xing M, et al. (2015) Immediate post-doxorubicin drug-eluting beads chemoembolization Mr Apparent diffusion coefficient quantification predicts response in unresectable hepatocellular carcinoma: a pilot study. J Magn Reson Imaging 42(4):981–989. doi: 10.1002/jmri.24845 CrossRefPubMedGoogle Scholar
  82. 82.
    Corona-Villalobos CP, Halappa VG, Geschwind JF, et al. (2015) Volumetric assessment of tumour response using functional MR imaging in patients with hepatocellular carcinoma treated with a combination of doxorubicin-eluting beads and sorafenib. Eur Radiol 25(2):380–390. doi: 10.1007/s00330-014-3412-6 CrossRefPubMedPubMedCentralGoogle Scholar
  83. 83.
    Cho YZ, Park SY, Choi EH, et al. (2015) The usefulness of contrast-enhanced ultrasonography in the early detection of hepatocellular carcinoma viability after transarterial chemoembolization: pilot study. Clin Mol Hepatol 21(2):165–174. doi: 10.3350/cmh.2015.21.2.165 CrossRefPubMedPubMedCentralGoogle Scholar
  84. 84.
    Shaw CM, Eisenbrey JR, Lyshchik A, et al. (2015) Contrast-enhanced ultrasound evaluation of residual blood flow to hepatocellular carcinoma after treatment with transarterial chemoembolization using drug-eluting beads: a prospective study. J Ultrasound Med 34(5):859–867. doi: 10.7863/ultra.34.5.859 CrossRefPubMedGoogle Scholar
  85. 85.
    Clark TW (2006) Complications of hepatic chemoembolization. Semin Interv Radiol 23(2):119–125. doi: 10.1055/s-2006-941442 CrossRefGoogle Scholar
  86. 86.
    Brown DB, Cardella JF, Sacks D, et al. (2009) Quality improvement guidelines for transhepatic arterial chemoembolization, embolization, and chemotherapeutic infusion for hepatic malignancy. J Vasc Interv Radiol 20(7 Suppl):S219–S226.e211–210. doi: 10.1016/j.jvir.2009.04.033 CrossRefPubMedGoogle Scholar
  87. 87.
    Li H, Li N, Xiang Q, Zhou Y (2014) Value of hepatic diffusion-weighted magnetic resonance imaging in evaluating liver fibrosis following transarterial chemoembolization with low doses of chemotherapy. Exp Ther Med 8(2):642–646. doi: 10.3892/etm.2014.1767 PubMedPubMedCentralGoogle Scholar
  88. 88.
    Bester L, Hobbins PG, Wang SC, Salem R (2011) Imaging characteristics following 90yttrium microsphere treatment for unresectable liver cancer. J Med Imaging Radiat Oncol 55(2):111–118. doi: 10.1111/j.1754-9485.2011.02241.x CrossRefPubMedGoogle Scholar
  89. 89.
    Sato K, Lewandowski RJ, Bui JT, et al. (2006) Treatment of unresectable primary and metastatic liver cancer with yttrium-90 microspheres (TheraSphere): assessment of hepatic arterial embolization. Cardiov Interv Radiol 29(4):522–529. doi: 10.1007/s00270-005-0171-4 CrossRefGoogle Scholar
  90. 90.
    Salem ME, Jain N, Dyson G, et al. (2013) Radiographic parameters in predicting outcome of patients with hepatocellular carcinoma treated with yttrium-90 microsphere radioembolization. ISRN Oncol . doi: 10.1155/2013/538376 PubMedPubMedCentralGoogle Scholar
  91. 91.
    Riaz A, Kulik L, Lewandowski RJ, et al. (2009) Radiologic-pathologic correlation of hepatocellular carcinoma treated with internal radiation using yttrium-90 microspheres. Hepatology 49(4):1185–1193. doi: 10.1002/hep.22747 CrossRefPubMedGoogle Scholar
  92. 92.
    Tirumani SH, Kim KW, Nishino M, et al. (2014) Update on the role of imaging in management of metastatic colorectal cancer. Radiographics 34(7):1908–1928. doi: 10.1148/rg.347130090 CrossRefPubMedPubMedCentralGoogle Scholar
  93. 93.
    Keppke AL, Salem R, Reddy D, et al. (2007) Imaging of hepatocellular carcinoma after treatment with yttrium-90 microspheres. AJR Am J Roentgenol 188(3):768–775. doi: 10.2214/ajr.06.0706 CrossRefPubMedGoogle Scholar
  94. 94.
    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. doi: 10.1016/j.jvir.2008.05.002 CrossRefPubMedGoogle Scholar
  95. 95.
    Atassi B, Bangash AK, Bahrani A, et al. (2008) Multimodality imaging following 90Y radioembolization: a comprehensive review and pictorial essay. Radiographics 28(1):81–99. doi: 10.1148/rg.281065721 CrossRefPubMedGoogle Scholar
  96. 96.
    Jakobs TF, Saleem S, Atassi B, et al. (2008) Fibrosis, portal hypertension, and hepatic volume changes induced by intra-arterial radiotherapy with 90yttrium microspheres. Dig Dis Sci 53(9):2556–2563. doi: 10.1007/s10620-007-0148-z CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Joseph Ralph Kallini
    • 1
  • Frank H. Miller
    • 2
  • Ahmed Gabr
    • 1
  • Riad Salem
    • 1
    • 3
    • 4
  • Robert J. Lewandowski
    • 1
  1. 1.Department of Radiology, Section of Interventional RadiologyNorthwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer CenterChicagoUSA
  2. 2.Department of RadiologyNorthwestern University Feinberg School of Medicine, Northwestern Memorial HospitalChicagoUSA
  3. 3.Department of Surgery, Division of Transplantation, Comprehensive Transplant CenterNorthwestern UniversityChicagoUSA
  4. 4.Department of Medicine, Division of Hematology and Oncology, Robert H. Lurie Comprehensive Cancer CenterNorthwestern UniversityChicagoUSA

Personalised recommendations