Evidence map›Paper›PMID 33417489›Full record

ArticleThe British journal of radiology2021

Imaging features based on Gd-EOB-DTPA-enhanced MRI for predicting vessels encapsulating tumor clusters (VETC) in patients with hepatocellular carcinoma.

Yanfen Fan, Yixing Yu, Mengjie Hu, Ximing Wang, Mingzhan Du, Lingchuan Guo, Chunhong Hu

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Preliminary study on the ability ofQuantitative imaging in medicine and surgery · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

7 authors at 2 institutions in 1 country.

Yanfen FanDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yixing YuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Mengjie HuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ximing WangDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Mingzhan DuDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Lingchuan GuoDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Chunhong HuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Soochow University · CNFirst Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the non-invasive prediction of hepatocellular carcinoma (HCC) with vessels encapsulating tumor clusters (VETC) based on qualitative and quantitative imaging features of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI.

methods109 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA enhanced MRI and immunochemical staining for CD34 were retrospectively evaluated in our institution (the first affiliated hospital of Soochow university). Pre-operative imaging features of Gd-EOB-DTPA-enhanced MRI were qualitatively and quantitatively reviewed by radiologists. Significant variables for differentiating the VETC-positive and VETC-negative HCCs were identified in univariate and multivariate analyses. Receiver operating characteristic (ROC) analysis was performed to determine the optimal cut-off values for quantitative variables. The nomogram based on the coefficient of multivariate analysis was constructed to evaluate the probability of VETC-positive HCCs.

resultsThe multivariate analysis showed that the serum AST level >40 U  l

conclusionQualitative and quantitative imaging features of Gd-EOB-DTPA-enhanced MRI integrating laboratory examination can provide good diagnostic performance. ADVANCES IN KNOWLEDGE: VETC is a novel identified microvascular pattern; associations between imaging features and VETC status have not been investigated. Pre-operative diagnosis of VETC status in HCC is essential to help predict the outcome of patients and make a decision for the therapeutic schedule.

Indexed as

Gadolinium DTPAAgedCarcinoma, HepatocellularContrast MediaDiagnosis, DifferentialFemaleHumansImage EnhancementLiverLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedNeovascularization, PathologicPredictive Value of TestsRetrospective StudiesContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPA

Identifiers

PMID33417489
PMCPMC8011268
OpenAlexW3120166815

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.