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The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma.

Publication ,  Journal Article
Chaudhry, M; McGinty, KA; Mervak, B; Lerebours, R; Li, C; Shropshire, E; Ronald, J; Commander, L; Hertel, J; Luo, S; Bashir, MR; Burke, LMB
Published in: Radiology
February 2020

Background The Liver Imaging Reporting and Data System (LI-RADS) treatment response algorithm (TRA) is used to assess presumed hepatocellular carcinoma (HCC) after local-regional therapy, but its performance has not been extensively assessed. Purpose To assess the performance of LI-RADS version 2018 TRA in the evaluation of HCC after ablation. Materials and Methods In this retrospective study, patients who underwent ablation therapy for presumed HCC followed by liver transplantation between January 2011 and December 2015 at a single tertiary care center were identified. Lesions were categorized as completely (100%) or incompletely (≤99%) necrotic based on transplant histology. Three radiologists assessed pre- and posttreatment MRI findings using LI-RADS version 2018 and the TRA, respectively. Interreader agreement was assessed by using the Fleiss κ test. Performance characteristics for predicting necrosis category based on LI-RADS treatment response (LR-TR) category (viable or nonviable) were calculated by using generalized mixed-effects models to account for clustering by subject. Results A total of 36 patients (mean age, 58 years ± 5 [standard deviation]; 32 men) with 53 lesions was included. Interreader agreement for pretreatment LI-RADS category was 0.40 (95% confidence interval [CI]: 0.15, 0.67; P < .01) and was lower than the interreader agreement for TRA category (κ = 0.71; 95% CI: 0.59, 0.84; P < .01). After accounting for clustering by subject, sensitivity of tumor necrosis across readers ranged from 40% to 77%, and specificity ranged from 85% to 97% when LR-TR equivocal assessments were treated as nonviable. When LR-TR equivocal assessments were treated as viable, sensitivity of tumor necrosis across readers ranged from 81% to 87%, and specificity ranged from 81% to 85% across readers. Six (11%) of 53 treated lesions were LR-TR equivocal by consensus, with most (five of six) incompletely necrotic at histopathology. Conclusion The Liver Imaging Reporting and Data System treatment response algorithm can be used to predict viable or nonviable hepatocellular carcinoma after ablation. Most ablated lesions rated as treatment response equivocal were incompletely necrotic at histopathology. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Do and Mendiratta-Lala in this issue.

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Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

February 2020

Volume

294

Issue

2

Start / End Page

320 / 326

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Sensitivity and Specificity
  • Retrospective Studies
  • Radiology Information Systems
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Liver Neoplasms
  • Liver
  • Humans
 

Citation

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Chaudhry, M., McGinty, K. A., Mervak, B., Lerebours, R., Li, C., Shropshire, E., … Burke, L. M. B. (2020). The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma. Radiology, 294(2), 320–326. https://doi.org/10.1148/radiol.2019191581
Chaudhry, Mohammad, Katrina A. McGinty, Benjamin Mervak, Reginald Lerebours, Cai Li, Erin Shropshire, James Ronald, et al. “The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma.Radiology 294, no. 2 (February 2020): 320–26. https://doi.org/10.1148/radiol.2019191581.
Chaudhry M, McGinty KA, Mervak B, Lerebours R, Li C, Shropshire E, et al. The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma. Radiology. 2020 Feb;294(2):320–6.
Chaudhry, Mohammad, et al. “The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma.Radiology, vol. 294, no. 2, Feb. 2020, pp. 320–26. Pubmed, doi:10.1148/radiol.2019191581.
Chaudhry M, McGinty KA, Mervak B, Lerebours R, Li C, Shropshire E, Ronald J, Commander L, Hertel J, Luo S, Bashir MR, Burke LMB. The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma. Radiology. 2020 Feb;294(2):320–326.

Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

February 2020

Volume

294

Issue

2

Start / End Page

320 / 326

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Sensitivity and Specificity
  • Retrospective Studies
  • Radiology Information Systems
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Liver Neoplasms
  • Liver
  • Humans