Evidence map›Paper›PMID 26977760›Full record

ArticleThe American journal of gastroenterology2016

Magnetic Resonance Elastography for the Evaluation of Liver Fibrosis in Chronic Hepatitis B and C by Using Both Gradient-Recalled Echo and Spin-Echo Echo Planar Imaging: A Prospective Study.

Yu Shi, Fei Xia, Qiu-Ju Li, Jia-Hui Li, Bing Yu, Yue Li, He An, Kevin J Glaser, Shengzhen Tao, Richard L Ehman and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in The American journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
8.1field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. MR elastography: Principles, guidelines, and terminology.Magnetic resonance in medicine · 2021
    Review
  16. Elastography in the evaluation of liver allograft.Abdominal radiology (New York) · 2021
    Review
  17. Review
  18. Review
  19. Review
  20. Deep residual nets model for staging liver fibrosis on plain CT images.International journal of computer assisted radiology and surgery · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Yu ShiDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Fei XiaDepartment of Infectious Disease, Shengjing Hospital of China Medical University, Shenyang, China.
Qiu-Ju LiDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Jia-Hui LiDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Bing YuDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yue LiDepartment of Pathology, Shengjing Hospital of China Medical University, Shenyang, China.
He AnDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Kevin J GlaserDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Shengzhen TaoDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Richard L EhmanDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Qi-Yong GuoDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CNMayo Clinic · USNational Natural Science Foundation of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMagnetic resonance elastography (MRE) with three-dimensional spin-echo echo planar imaging (3D-SE-EPI) is a newly emerging noninvasive method for assessing liver fibrosis. We hypothesized that 3D-SE-EPI might have better diagnostic accuracy than conventional two-dimensional gradient-recalled echo (2D-GRE).

methodsWe prospectively included 179 consecutive patients with chronic hepatitis B (CHB) or C (CHC) who underwent both MRE and liver biopsy. Liver stiffness was measured by both 3D-SE-EPI and 2D-GRE for staging biopsy-proven liver fibrosis (using METAVIR scores). A receiver-operating characteristic analysis using the area under the receiver-operating characteristic curve (AUC) was used to compare the diagnostic performance in predicting liver fibrosis between these two techniques, and compared them to serum markers of fibrosis.

resultsThe technical failure rate of 3D-SE-EPI (2.2%, n=4/179) was lower compared with 2D-GRE (8.3%, n=15/179). The stiffness measured by 3D-SE-EPI was slightly lower compared with 2D-GRE, with the mean difference of 0.57 kPa (Bland and Altman plot, 95% limits of agreement: -0.32 and 1.45 kPa). AUCs for the characterization of ≥F1, ≥F2, ≥F3, and F4 were 0.957 (95% confidence interval (CI): 0.913-0.983), 0.971 (0.932-0.991), 0.991 (0.961-0.999), and 0.979 (0.942-0.995) for 3D-SE-EPI, which was slightly higher compared with the AUCs for 2D-GRE at each fibrosis stage (0.948 (0.901-0.977), 0.959 (0.915-0.981), 0.979 (0.943-0.995), and 0.976 (0.938-0.994), respectively), although none reached statistical significance (P=0.160-0.585). In an "intention-to-diagnose" analysis, the diagnostic accuracy (the proportion of well-classified patients) by EPI (86.7-91.3%, n=169) was higher compared with GRE (80.9-82.1%, n=158) after applying optimal cutoffs. Both 3D-SE-EPI and 2D-GRE performed better than serum fibrosis markers.

conclusionsWith respect to 2D-GRE, 3D-SE-EPI has the advantage of lower failure rate with equivalent high diagnostic performance for staging liver fibrosis in CHB/CHC patients, and thus more helpful for those challenging cases in 2D-GRE.

Indexed as

AdultAgedBiomarkersBiopsyChinaCross-Sectional StudiesEcho-Planar ImagingElasticity Imaging TechniquesFemaleHepatitis B, ChronicHepatitis C, ChronicHumansImaging, Three-DimensionalLiver CirrhosisMaleMiddle AgedBiomarkers

Identifiers

PMID26977760
OpenAlexW2302386206

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.