LI-RADS treatment response algorithm after first-line DEB-TACE: reproducibility and prognostic value at initial post-treatment CT/MRI

Ali Pirasteh, E. Aleks Sorra, Hector Marquez, Robert C. Sibley, Julia R. Fielding, Abhinav Vij, Nicole E. Rich, Ana Arroyo, Adam C Yopp, Gaurav Khatri, Amit G. Singal, Takeshi Yokoo

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To evaluate the inter-reader reproducibility and prognostic accuracy of the Liver Imaging Reporting and Data System (LI-RADS) treatment response algorithm (LR-TR) at the time of initial post-treatment evaluation following drug-eluting beads transarterial chemoembolization (DEB-TACE) for hepatocellular carcinoma (HCC). Methods: This retrospective study included patients with HCC who underwent first-line DEB-TACE between January 2011 and December 2015. Six readers (three fellowship-trained radiologists and three radiology trainees) independently assessed lesion-level response in up to two treated lesions per LR-TR and modified Response Evaluation Criteria in Solid Tumors (mRECIST)-target criteria, as well as patient-level response per mRECIST-overall criteria, on the initial post-treatment CT/MRI. Inter-reader agreement was calculated by Fleiss’ multi-reader κ. We tested whether LR-TR, mRECIST-target, and mRECIST-overall response were associated with overall survival using Kaplan–Meier and Cox proportional hazard model analyses. Results: A total of 82 patients with 113 treated target lesions were included. Inter-reader agreement was moderate for LR-TR and mRECIST-overall (κ range 0.42–0.57), and substantial for mRECIST-target (κ range 0.62–0.66), among all three reader-groups: all readers, experienced readers, and less-experienced readers. LR-TR and mRECIST-target response were not significantly associated with overall survival regardless of reader experience (P > 0.05). In contrast, mRECIST-overall response was significantly associated with overall survival when assessed by all readers (P = 0.02) and experienced readers (P = 0.03), but not by the less-experienced readers (P = 0.35). Conclusion: Although LR-TR algorithm has moderate inter-reader reproducibility, it alone may not predict overall survival on the initial post-treatment CT/MRI after first-line DEB-TACE for HCC.

Original languageEnglish (US)
JournalAbdominal Radiology
DOIs
StateAccepted/In press - 2021

Keywords

  • Computed tomography
  • Hepatocellular carcinoma
  • Magnetic resonance imaging
  • Response Evaluation Criteria In Solid Tumors
  • Therapeutic chemoembolization

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Gastroenterology
  • Urology

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