ArticleRadiology2019
LI-RADS Treatment Response Algorithm: Performance and Diagnostic Accuracy.
Article in Radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
51 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diagnostic accuracy of Liver Imaging Reporting and Data System locoregional treatment response criteria: a systematic review and meta-analysis.European radiology · 2021Pooled it
- LI-RADS treatment response algorithm for detecting incomplete necrosis in hepatocellular carcinoma after locoregional treatment: a systematic review and meta-analysis using individual patient data.Abdominal radiology (New York) · 2021Pooled it
- Diagnostic performance of Liver Imaging Reporting and Data System treatment response algorithm: a systematic review and meta-analysis.European radiology · 2021Pooled it
- Contrast-enhanced ultrasonography-CT/MRI fusion guidance for percutaneous ablation of inconspicuous, small liver tumors: improving feasibility and therapeutic outcome.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Trial
- Contrast-enhanced US Evaluation of Hepatocellular Carcinoma Response to Chemoembolization: A Prospective Multicenter Trial.Radiology · 2023Trial
- No-Touch vs. Conventional Radiofrequency Ablation Using Twin Internally Cooled Wet Electrodes for Small Hepatocellular Carcinomas: A Randomized Prospective Comparative Study.Korean journal of radiology · 2021Trial
- Histopathological outcomes of CT-guided high-dose-rate interstitial brachytherapy for HCC and predictive accuracy of the LI-RADS Radiation Treatment Response Algorithm v2024.European radiology · 2026Article
- Diagnostic value of subtraction CT in evaluating the efficacy of transcatheter arterial chemoembolization-treated hepatocellular carcinoma patients compared to conventional CT and MRI.Quantitative imaging in medicine and surgery · 2026Article
- The 2024 LI-RADS treatment response update: practical reporting after non-radiation and radiation locoregional therapies for hepatocellular carcinoma.Insights into imaging · 2026Review
- LI-RADS nonradiation treatment response assessment version 2024: diagnostic performance in HCC treated with transarterial chemoembolization.European radiology · 2026Article
- Performance of Liver Imaging Reporting and Data System (LI-RADS) nonradiation treatment response algorithm version 2024 on magnetic resonance imaging for transarterial chemoembolization plus systemic therapy in hepatocellular carcinoma.Quantitative imaging in medicine and surgery · 2026Article
- Imaging in staging, treatment planning, and monitoring of hepatocellular carcinoma for local and locoregional therapies: consensus recommendations from EORTC and ESGAR.European radiology · 2026Article
- Article
- Accuracy of cross-sectional imaging in predicting tumor viability using the LI-RADS treatment response algorithm after image-guided percutaneous ablation with radiologic-pathologic explant correlation.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- LI-RADS CT/MRI Treatment Response Assessment Update in 2024.Journal of the Korean Society of Radiology · 2025Review
- Article
- Article
- Review
- CT/MRI LI-RADS 2024 Update: Treatment Response Assessment.Radiology · 2024Review
- Deep learning-based arterial subtraction images improve the detection of LR-TR algorithm for viable HCC on extracellular agents-enhanced MRI.Abdominal radiology (New York) · 2024Article
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12 authors.
Funding
Abstract
Background In 2017, the Liver Imaging Reporting and Data System (LI-RADS) included an algorithm for the assessment of hepatocellular carcinoma (HCC) treated with local-regional therapy. The aim of the algorithm was to enable standardized evaluation of treatment response to guide subsequent therapy. However, the performance of the algorithm has not yet been validated in the literature. Purpose To evaluate the performance of the LI-RADS 2017 Treatment Response algorithm for assessing the histopathologic viability of HCC treated with bland arterial embolization. Materials and Methods This retrospective study included patients who underwent bland arterial embolization for HCC between 2006 and 2016 and subsequent liver transplantation. Three radiologists independently assessed all treated lesions by using the CT/MRI LI-RADS 2017 Treatment Response algorithm. Radiology and posttransplant histopathology reports were then compared. Lesions were categorized on the basis of explant pathologic findings as either completely (100%) or incompletely (<100%) necrotic, and performance characteristics and predictive values for the LI-RADS Treatment Response (LR-TR) Viable and Nonviable categories were calculated for each reader. Interreader association was calculated by using the Fleiss κ. Results A total of 45 adults (mean age, 57.1 years ± 8.2; 13 women) with 63 total lesions were included. For predicting incomplete histopathologic tumor necrosis, the accuracy of the LR-TR Viable category for the three readers was 60%-65%, and the positive predictive value was 86%-96%. For predicting complete histopathologic tumor necrosis, the accuracy of the LR-TR Nonviable category was 67%-71%, and the negative predictive value was 81%-87%. By consensus, 17 (27%) of 63 lesions were categorized as LR-TR Equivocal, and 12 of these lesions were incompletely necrotic. Interreader association for the LR-TR category was moderate (κ = 0.55; 95% confidence interval: 0.47, 0.67). Conclusion The Liver Imaging Reporting and Data System 2017 Treatment Response algorithm had high predictive value and moderate interreader association for the histopathologic viability of hepatocellular carcinoma treated with bland arterial embolization when lesions were assessed as Viable or Nonviable. © RSNA, 2019
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.