Evidence map›Paper›PMID 41026197›Full record

ArticleAbdominal radiology (New York)2026

Incorporating new criteria can improve the ability of CEUS LI-RADS to differentiate HCC from non-HCC malignancies.

Rong Wen, Yuting Peng, Ruizhi Gao, Jinshu Pang, Xiumei Bai, Lanhui Qin, Dongyue Wen, Yuquan Wu, Yiqiong Liang, Yun He and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 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
–field-weighted citation impact
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

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.

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

12 authors.

Rong WenDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yuting PengDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ruizhi GaoDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jinshu PangDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiumei BaiDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Lanhui QinDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Dongyue WenDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yuquan WuDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yiqiong LiangDepartment of Radiology, Guangxi International Zhuang Medicine Hospital, Nanning, China.
Yun HeDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Liling LongDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. cjr.longliling@vip.163.com.
Hong YangDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. yanghong@gxmu.edu.cn.

Funding

China Postdoctoral Science Foundation 2023MD744191Clinical Research Climbing Project of The First Affiliated Hospital of Guangxi Medical University YYZS2020024Joint Project on Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation 2024GXNSFBA999019
6 · The paper itself

Abstract

purposeThis work aimed to evaluate the diagnostic performance of the CEUS LI-RADS and to further improve its ability to differentiate HCC from non-HCC malignancies by modifying the LR-M criteria.

methodsThis retrospective study included patients with a high risk of HCC who underwent CEUS examination. A subgroup of LR-M lesions was reassessed by applying different diagnostic criteria, including Criterion 1: early washout < 60 s; Criterion 2: Criterion 1 + marked washout within 4 min; Criterion 3: early washout < 45 s; Criterion 4: washout onset-enhancement onset < 30 s. Diagnostic efficacy was assessed.

resultsA total of 1681 liver lesions were included. When LR-5 was used as a predictor of HCC, the sensitivities of Criterion 2 (84.3%), Criterion 3 (73.1%), and Criterion 4 (73.5%) were greater than that of Criterion 1 (67.3%; all p < 0.01). The specificities of Criterion 1 (95.1%), Criterion 3 (94.2%), and Criterion 4 (94.6%) were similar and surpassed that of Criterion 2 (73.5%; all p < 0.01). The PPVs of Criterion 1 (97.7%), Criterion 3 (97.5%), and Criterion 4 (97.7%) were similar and surpassed that of Criterion 2 (95.7%; all p < 0.05).

conclusionThe use of the washout onset time minus the enhancement onset time < 30 s as a new criterion for early washout could help improve the differential ability for HCC and non-HCC malignancies.

Indexed as

Carcinoma, HepatocellularContrast MediaLiver NeoplasmsRadiology Information SystemsAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityUltrasonographyContrast MediaContrast-enhanced ultrasoundDiagnostic algorithm optimizationHepatocellular carcinomaLiver imaging reporting and data system

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.