Evidence map›Paper›PMID 35312822›Full record

SynthesisAbdominal radiology (New York)2022

The diagnostic performance of contrast-enhanced CT versus extracellular contrast agent-enhanced MRI in detecting hepatocellular carcinoma: direct comparison and a meta-analysis.

Xi Chen, Mingkai Li, Ruomi Guo, Weimin Liu, Jianwen Li, Xiaodan Zong, Qilong Chen, Jin Wang

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Abdominal radiology (New York), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Diagnostic Performance of PSMA PET/MRI in Characterizing LI-RADS 3 Observations in Patients with Cirrhosis.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Clinical Significance of Liver MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Review
  8. Review
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

8 authors at 1 institution in 1 country.

Xi Chen *Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China.
Mingkai Li *Department of Gastroenterology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China.
Ruomi GuoDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China.
Weimin LiuDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China.
Jianwen LiDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China.
Xiaodan ZongDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China.
Qilong ChenDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China.
Jin WangDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China. wangjin3@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-7956-9579
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To compare the diagnostic value of contrast-enhanced computed tomography (CT) with extracellular contrast agent-enhanced magnetic resonance imaging (ECA-MRI) for the detection of hepatocellular carcinoma (HCC). Pubmed, Embase, Web of Science and Cochrane Library were searched (1/5/2021) for studies comparing contrast-enhanced CT with ECA-MRI in patients suspected of HCC. Studies without head-to-head comparison were excluded. The pooled sensitivity, specificity and summary area under the curve (sAUC) of contrast-enhanced CT and ECA-MRI in detecting HCC was calculated based on bivariate random effects model. Heterogeneity test included threshold effect analysis and meta-regression. Subgroup analyses were conducted according to lesion size (< 20 mm or ≥ 20 mm). Overall, 10 articles containing 1333 patients were deemed suitable for inclusion in this meta-analysis. ECA-MRI displayed increased sensitivity to contrast-enhanced CT in detecting HCC (0.77 vs. 0.63, P < 0.01). The difference in specificity between ECA-MRI and contrast-enhanced CT was not statistically significant (0.93 vs. 0.94, P = 0.25). ECA-MRI yielded higher diagnostic accuracy (sAUCs = 0.88 vs. 0.80, P < 0.01). In the subgroup analysis with a lesion size < 20 mm, ECA-MRI allowed significant gains of accuracy compared to contrast-enhanced CT (0.79 vs. 0.72, P = 0.02). ECA-MRI also outperformed contrast-enhanced CT in patients with lesion size ≥ 20 mm (sAUCs = 0.96 vs. 0.93, P = 0.04). ECA-MRI provided higher sensitivity and accuracy than contrast-enhanced CT in detecting HCC, especially lesions size < 20 mm.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsContrast MediaGadolinium DTPAHumansMagnetic Resonance ImagingSensitivity and SpecificityTomography, X-Ray ComputedContrast MediaGadolinium DTPAContrast-enhanced computed tomographyExtracellular contrast agent-enhanced magnetic resonance imagingHepatocellular carcinoma

Identifiers

PMID35312822
OpenAlexW4221132691

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.