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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.

Publication ,  Journal Article
Sheng, L; Yang, C; Chen, Y; Wei, H; Yang, Y; Chernyak, V; Bashir, MR; Jiang, H; Qu, Y; Song, B; Ye, Z
Published in: Quant Imaging Med Surg
March 1, 2026

BACKGROUND: The effectiveness of Liver Imaging Reporting and Data System treatment response algorithm version 2024 (LR-TRA v2024) in hepatocellular carcinoma (HCC) patients undergoing locoregional plus systemic combination therapy remains uncertain. We aimed to investigate the performance of LR-TRA v2024 on magnetic resonance imaging (MRI) in detecting residual HCC following transarterial chemoembolization (TACE) plus systemic therapy. METHODS: This single-center retrospective study included consecutive adult patients who received TACE plus systemic therapy for HCC and subsequent surgical resection (July 2019 to November 2023). All contrast-enhanced preoperative MRIs were independently evaluated by three blinded radiologists for LR-TR, Liver Imaging Reporting and Data System treatment response (LR-TR) categories and two ancillary features. Postoperative pathology was used as the reference standard for residual tumors, which was further categorized as any (>0%) or major (>10%) residual tumors. When investigating the performances of LR-TR categories, the LR-TR Equivocal category was grouped into the LR-TR Viable category. The diagnostic performances were evaluated using positive predicting value (PPV) and negative predicting value (NPV). RESULTS: Fifty-one patients (median age, 56 years; 45 males) with 63 HCCs were included. For the detection of any residual tumor, the per-lesion PPV and NPV of the LR-TR Viable category were 100.0% and 46.9%, respectively; the per-patient PPV and NPV were 100.0% and 45.5%, respectively. For the detection of major residual tumor, the per-lesion PPV and NPV of the LR-TR Viable category were 80.6% and 84.4%, respectively; the per-patient PPV and NPV were 82.8% and 86.4%, respectively. CONCLUSIONS: LR-TRA v2024 was effective in evaluating treatment response and detecting residuals of HCC to TACE plus systemic therapy.

Duke Scholars

Published In

Quant Imaging Med Surg

DOI

ISSN

2223-4292

Publication Date

March 1, 2026

Volume

16

Issue

3

Start / End Page

217

Location

China

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Sheng, L., Yang, C., Chen, Y., Wei, H., Yang, Y., Chernyak, V., … Ye, Z. (2026). 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. Quant Imaging Med Surg, 16(3), 217. https://doi.org/10.21037/qims-2025-1308
Sheng, Liuji, Chongtu Yang, Yidi Chen, Hong Wei, Yang Yang, Victoria Chernyak, Mustafa R. Bashir, et al. “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.Quant Imaging Med Surg 16, no. 3 (March 1, 2026): 217. https://doi.org/10.21037/qims-2025-1308.

Published In

Quant Imaging Med Surg

DOI

ISSN

2223-4292

Publication Date

March 1, 2026

Volume

16

Issue

3

Start / End Page

217

Location

China

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering