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Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions.

Publication ,  Journal Article
Aslam, A; Do, RKG; Kambadakone, A; Spieler, B; Miller, FH; Gabr, AM; Charalel, RA; Kim, CY; Madoff, DC; Mendiratta-Lala, M
Published in: World journal of hepatology
October 2020

Hepatocellular carcinoma (HCC) is a leading cause of morbidity and mortality worldwide, with rising clinical and economic burden as incidence increases. There are a multitude of evolving treatment options, including locoregional therapies which can be used alone, in combination with each other, or in combination with systemic therapy. These treatment options have shown to be effective in achieving remission, controlling tumor progression, improving disease free and overall survival in patients who cannot undergo resection and providing a bridge to transplant by debulking tumor burden to downstage patients. Following locoregional therapy (LRT), it is crucial to provide treatment response assessment to guide management and liver transplant candidacy. Therefore, Liver Imaging Reporting and Data Systems (LI-RADS) Treatment Response Algorithm (TRA) was created to provide a standardized assessment of HCC following LRT. LI-RADS TRA provides a step by step approach to evaluate each lesion independently for accurate tumor assessment. In this review, we provide an overview of different locoregional therapies for HCC, describe the expected post treatment imaging appearance following treatment, and review the LI-RADS TRA with guidance for its application in clinical practice. Unique to other publications, we will also review emerging literature supporting the use of LI-RADS for assessment of HCC treatment response after LRT.

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Published In

World journal of hepatology

DOI

EISSN

1948-5182

ISSN

1948-5182

Publication Date

October 2020

Volume

12

Issue

10

Start / End Page

738 / 753

Related Subject Headings

  • 3202 Clinical sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Aslam, A., Do, R. K. G., Kambadakone, A., Spieler, B., Miller, F. H., Gabr, A. M., … Mendiratta-Lala, M. (2020). Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions. World Journal of Hepatology, 12(10), 738–753. https://doi.org/10.4254/wjh.v12.i10.738
Aslam, Anum, Richard Kinh Gian Do, Avinash Kambadakone, Bradley Spieler, Frank H. Miller, Ahmed M. Gabr, Resmi A. Charalel, Charles Y. Kim, David C. Madoff, and Mishal Mendiratta-Lala. “Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions.World Journal of Hepatology 12, no. 10 (October 2020): 738–53. https://doi.org/10.4254/wjh.v12.i10.738.
Aslam A, Do RKG, Kambadakone A, Spieler B, Miller FH, Gabr AM, et al. Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions. World journal of hepatology. 2020 Oct;12(10):738–53.
Aslam, Anum, et al. “Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions.World Journal of Hepatology, vol. 12, no. 10, Oct. 2020, pp. 738–53. Epmc, doi:10.4254/wjh.v12.i10.738.
Aslam A, Do RKG, Kambadakone A, Spieler B, Miller FH, Gabr AM, Charalel RA, Kim CY, Madoff DC, Mendiratta-Lala M. Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions. World journal of hepatology. 2020 Oct;12(10):738–753.

Published In

World journal of hepatology

DOI

EISSN

1948-5182

ISSN

1948-5182

Publication Date

October 2020

Volume

12

Issue

10

Start / End Page

738 / 753

Related Subject Headings

  • 3202 Clinical sciences