Evidence map›Paper›PMID 31999940›Full record

ArticleBosnian journal of basic medical sciences2020

Diagnostic performance of LI-RADS version 2018 in differentiating hepatocellular carcinoma from other hepatic malignancies in patients with hepatitis B virus infection.

Shuo Shao, Yingying Liang, Sichi Kuang, Jingbiao Chen, Qungang Shan, Hao Yang, Yao Zhang, Bin Wang, Kathryn J Fowler, Jin Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Bosnian journal of basic medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 5 pooled it
3.3field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 5 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Shuo ShaoDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, China; Department of Radiology, Jining No.1 People's Hospital, Jining, China; Affiliated Jining No. 1 People's Hospital of Jining Medical University, Jining Medical University, Jining, China.
Yingying LiangDepartment of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China; The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Sichi KuangDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, China.
Jingbiao ChenDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, China.
Qungang ShanDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, China.
Hao YangDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, China.
Yao ZhangDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, China.
Bin WangMedical Imaging Research Institute, Binzhou Medical University, Yantai, China.
Kathryn J FowlerLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, California, USA.
Jin WangDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, China.
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, California, USA.
Sun Yat-sen University · CNUniversity of California San Diego · USBinzhou Medical University · CNSecond Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic performance of the Liver Imaging Reporting and Data System (LI-RADS) in differentiating hepatocellular carcinoma (HCC) from other hepatic malignancies has not been investigated in Chinese patients with chronic liver disease from hepatitis B virus (HBV) infection. The aim of this study was to evaluate the accuracy of the LI-RADS version 2018 in differentiating HCC, intrahepatic cholangiocarcinoma (ICCA), and combined HCC-cholangiocarcinoma (cHCC-CCA) in Chinese patients with HBV infection. Seventy consecutive HBV-infected patients with ICCA (n = 48) or cHCC-CCA (n = 22) who underwent contrast-enhanced magnetic resonance imaging (CE-MRI) between 2006 and 2017 were enrolled along with a comparison cohort of 70 patients with HCC and CE-MRI-matched for tumor size (10-19 mm, 20-30 mm, 31-50 mm, and >50 mm). Imaging feature frequencies for each tumor type were compared using Fisher's exact test. The classification accuracy of LR-5 and LR-M was estimated for HCC versus non-HCC (ICCA and cHCC-CCA). The interobserver agreement was good for LI-RADS categories of HCC and moderate for non-HCC. After consensus read, 66 of 70 (94%) HCCs were categorized LR-5 (including tumor in vein [TIV] with LR-5), while 42 of 48 (88%) ICCAs and 13 of 22 (59%) cHCC-CCAs were categorized LR-M (including TIV with LR-M) (p < 0.001). Thus, assignment of LR-5 provided 94% sensitivity and 81% specificity for HCC. LR-M provided 79% sensitivity and 97% specificity for non-HCC (ICCA and cHCC-CCA); and the sensitivity and accuracy were lower in differentiating HCC from non-HCC (tumor size <20 mm). LI-RADS v2018 category 5 and M reliably differentiated HBV-related HCC from ICCA. However, a substantial proportion of cHCC-CCAs were categorized LR-5 rather than LR-M. While management is controversial for these combined tumors, accurate prospective differentiation is desired for optimal treatment.

Indexed as

Magnetic Resonance ImagingAdultAgedCarcinoma, HepatocellularCholangiocarcinomaContrast MediaDiagnosis, DifferentialFemaleHepatitis BHumansLiver NeoplasmsMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityContrast Media

Identifiers

PMID31999940
PMCPMC7416181
OpenAlexW3003474575

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.