Evidence map›Paper›PMID 41802329›Full record

ArticleUltrasonography (Seoul, Korea)2026

Kupffer-phase Sonazoid ultrasound LI-RADS for liver cancer: diagnostic performance and algorithm modification.

Xuejun Chen, Daohui Yang, Lewu Lin, Aiqin Wu, Linjin Huang, Lijuan Mao, Hansheng Xia, Qing Lu

Abstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xuejun ChenDepartment of Ultrasound, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Daohui YangDepartment of Ultrasound, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Lewu LinDepartment of Ultrasound, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Aiqin WuDepartment of Ultrasound, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Linjin HuangDepartment of Ultrasound, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Lijuan MaoDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
Hansheng XiaDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
Qing LuDepartment of Ultrasound, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to enhance the noninvasive identification of hepatocellular carcinoma (HCC) by modifying the Sonazoid-based contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) through integration of Kupffer-phase (KP) imaging and optimization of washout timing criteria.

methodsThis retrospective two-center study enrolled 558 patients with solitary liver nodules who underwent Sonazoid-based CEUS between August 2022 and September 2024. CEUS features were assessed according to LI-RADS v2017 using predefined washout time windows (2, 5, and 10 minutes). A modified LI-RADS algorithm incorporating KP hypoenhancement was developed. Interobserver agreement was evaluated using the Cohen kappa. Diagnostic performance metrics (area under the curve [AUC], sensitivity, specificity, and positive predictive value) were compared between the modified CEUS LI-RADS algorithms and the Japan Society of Hepatology (JSH) and Korean Liver Cancer Association (KLCA) guidelines using the McNemar and DeLong tests.

resultsFor key CEUS features, interobserver agreement was moderate to almost perfect (κ=0.580-0.815). The modified CEUS LI-RADS-10min algorithm demonstrated superior performance over the other algorithms. By reclassifying LR-M nodules with early washout and mild KP hypoenhancement as LR-5, the modified CEUS LI-RADS-10min algorithm achieved the highest diagnostic performance for HCC (AUC, 0.782), improving sensitivity while maintaining specificity (73.7%). Its performance was comparable to that of the KLCA guideline. The JSH guidelines showed the highest sensitivity (91.7%) but the lowest specificity (53.9%).

conclusionIntegrating KP hypoenhancement with a 10-minute washout window improves the sensitivity of Sonazoid-based CEUS LI-RADS for diagnosing HCC while preserving specificity, providing feasible refinement aligned with established guidelines and promoting standardization.

Indexed as

Contrast-enhanced ultrasoundDiagnostic imagingHepatocellular carcinomaLiverSonazoid

Identifiers

PMID41802329
PMCPMC12971162

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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.