Evidence map›Paper›PMID 41816028›Full record

ArticleQuantitative imaging in medicine and surgery2026

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.

Liuji Sheng, Chongtu Yang, Yidi Chen, Hong Wei, Yang Yang, Victoria Chernyak, Mustafa R Bashir, Hanyu Jiang, Yali Qu, Bin Song and 1 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Liuji ShengDepartment of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Chongtu YangDepartment of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Yidi ChenDepartment of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Hong WeiDepartment of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Yang YangCancer Center, West China Hospital, Sichuan University, Chengdu, China.
Victoria ChernyakDepartment of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
Mustafa R BashirDepartment of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC, USA.
Hanyu JiangDepartment of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Yali QuDepartment of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Bin SongDepartment of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Zheng YeDepartment of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Hepatocellular carcinoma (HCC)Liver Imaging Reporting and Data System treatment response algorithm (LR-TRA)magnetic resonance imaging (MRI)transarterial chemoembolization plus systemic therapy (TACE plus systemic therapy)treatment response

Identifiers

PMID41816028
PMCPMC12971347

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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.