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Locoregional therapies for hepatocellular carcinoma and the new LI-RADS treatment response algorithm.

Publication ,  Journal Article
Kielar, A; Fowler, KJ; Lewis, S; Yaghmai, V; Miller, FH; Yarmohammadi, H; Kim, C; Chernyak, V; Yokoo, T; Meyer, J; Newton, I; Do, RK
Published in: Abdom Radiol (NY)
January 2018

Radiologists play a central role in the assessment of patient response to locoregional therapies for hepatocellular carcinoma (HCC). The identification of viable tumor following treatment guides further management and potentially affects transplantation eligibility. Liver Imaging Reporting and Data Systems (LI-RADS) first introduced the concept of LR-treated in 2014, and a new treatment response algorithm is included in the 2017 update to assist radiologists in image interpretation of HCC after locoregional therapy. In addition to offering imaging criteria for viable and nonviable HCC, new concepts of nonevaluable tumors as well as tumors with equivocal viability are introduced. Existing guidelines provided by response evaluation criteria in solid tumors (RECIST) and modified RECIST address patient-level assessments and are routinely used in clinical trials but do not address the variable appearances following different locoregional therapies. The new LI-RADS treatment response algorithm addresses this gap and offers a comprehensive approach to assess treatment response for individual lesions after a variety of locoregional therapies, using either contrast-enhanced CT or MRI.

Duke Scholars

Published In

Abdom Radiol (NY)

DOI

EISSN

2366-0058

Publication Date

January 2018

Volume

43

Issue

1

Start / End Page

218 / 230

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Response Evaluation Criteria in Solid Tumors
  • Patient Selection
  • Neoplasm Staging
  • Magnetic Resonance Imaging
  • Liver Neoplasms
  • Humans
  • Contrast Media
  • Carcinoma, Hepatocellular
  • Algorithms
 

Citation

APA
Chicago
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MLA
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Kielar, A., Fowler, K. J., Lewis, S., Yaghmai, V., Miller, F. H., Yarmohammadi, H., … Do, R. K. (2018). Locoregional therapies for hepatocellular carcinoma and the new LI-RADS treatment response algorithm. Abdom Radiol (NY), 43(1), 218–230. https://doi.org/10.1007/s00261-017-1281-6
Kielar, Ania, Kathryn J. Fowler, Sara Lewis, Vahid Yaghmai, Frank H. Miller, Hooman Yarmohammadi, Charles Kim, et al. “Locoregional therapies for hepatocellular carcinoma and the new LI-RADS treatment response algorithm.Abdom Radiol (NY) 43, no. 1 (January 2018): 218–30. https://doi.org/10.1007/s00261-017-1281-6.
Kielar A, Fowler KJ, Lewis S, Yaghmai V, Miller FH, Yarmohammadi H, et al. Locoregional therapies for hepatocellular carcinoma and the new LI-RADS treatment response algorithm. Abdom Radiol (NY). 2018 Jan;43(1):218–30.
Kielar, Ania, et al. “Locoregional therapies for hepatocellular carcinoma and the new LI-RADS treatment response algorithm.Abdom Radiol (NY), vol. 43, no. 1, Jan. 2018, pp. 218–30. Pubmed, doi:10.1007/s00261-017-1281-6.
Kielar A, Fowler KJ, Lewis S, Yaghmai V, Miller FH, Yarmohammadi H, Kim C, Chernyak V, Yokoo T, Meyer J, Newton I, Do RK. Locoregional therapies for hepatocellular carcinoma and the new LI-RADS treatment response algorithm. Abdom Radiol (NY). 2018 Jan;43(1):218–230.
Journal cover image

Published In

Abdom Radiol (NY)

DOI

EISSN

2366-0058

Publication Date

January 2018

Volume

43

Issue

1

Start / End Page

218 / 230

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Response Evaluation Criteria in Solid Tumors
  • Patient Selection
  • Neoplasm Staging
  • Magnetic Resonance Imaging
  • Liver Neoplasms
  • Humans
  • Contrast Media
  • Carcinoma, Hepatocellular
  • Algorithms