Evidence map›Paper›PMID 25658359›Full record

SynthesisPloS one2015

Preoperative evaluation of the histological grade of hepatocellular carcinoma with diffusion-weighted imaging: a meta-analysis.

Jie Chen, Mingpeng Wu, Rongbo Liu, Siyi Li, Ronghui Gao, Bin Song

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Updates on Imaging of Liver Tumors.Current oncology reports · 2020
    Review
  10. Article
  11. Article
  12. Histological Grading of Hepatocellular Carcinomas with Intravoxel Incoherent Motion Diffusion-weighted Imaging: Inconsistent Results Depending on the Fitting Method.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2018
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Multiparametric MR Imaging in Abdominal Malignancies.Magnetic resonance imaging clinics of North America · 2016
    Review
  18. Imaging of HCC-Current State of the Art.Diagnostics (Basel, Switzerland) · 2015
    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

6 authors.

Jie ChenDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China.
Mingpeng WuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China.
Rongbo LiuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China.
Siyi LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China.
Ronghui GaoDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China.
Bin SongDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic performance of diffusion-weighted imaging (DWI) in the preoperative prediction of the histological grade of hepatocellular carcinoma (HCC). MATERIALS AND

methodsA comprehensive literature search was performed in several authoritative databases to identify relevant articles. QUADAS-2 was used to assess the quality of included studies. Data were extracted to calculate the pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR). Summary receiver operating characteristic (SROC) curves were derived and areas under the SROC curve (AUC) were computed to indicate the diagnostic accuracy. Heterogeneity test, meta-regression analysis and sensitivity analysis were performed to identify factors and studies contributed to the heterogeneity.

resultsA total of 11 studies with 912 HCCs were included in this meta-analysis. The pooled sensitivity, specificity, PLR and NLR with corresponding 95% confidence intervals (CI) were 0.54(0.47-0.61), 0.90(0.87-0.93), 4.88(2.99-7.97) and 0.46(0.27-0.77) for the prediction of well-differentiated HCC (w-HCC), 0.84(0.78-0.89), 0.48(0.43-0.52), 2.29(1.43-3.69) and 0.30(0.22-0.41) for the prediction of poorly-differentiated HCC (p-HCC). The AUC were 0.9311 and 0.8513 in predicting w-HCC and p-HCC, respectively. Results were further evaluated according to the method of image interpretation. Significant heterogeneity was observed.

conclusionDWI had excellent and moderately high diagnostic accuracy for the detection of w-HCC and p-HCC, respectively. Nonetheless, further studies in larger populations and an optimized image acquisition and interpretation are required before DWI-derived parameters can be used as a useful image biomarker for the prediction of the histological grade of HCC.

Indexed as

Carcinoma, HepatocellularDiffusion Magnetic Resonance ImagingHumansLiver NeoplasmsNeoplasm GradingPreoperative CareSensitivity and Specificity

Identifiers

PMID25658359
PMCPMC4320049

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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.