Evidence map›Paper›PMID 30079132›Full record

ReviewWorld journal of hepatology2018

MR with Gd-EOB-DTPA in assessment of liver nodules in cirrhotic patients.

Riccardo Inchingolo, Riccardo Faletti, Luigi Grazioli, Eleonora Tricarico, Marco Gatti, Anna Pecorelli, Davide Ippolito

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. [Expert consensus on the diagnosis, treatment, and management of liver nodules (version 2026)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Article
  4. Review
  5. Article
  6. Integrin α6 Targeted Tumor Theranostics.Phenomics (Cham, Switzerland) · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. [Multidisciplinary experts consensus on diagnosis and treatment of precancerous lesions of hepatocellular carcinoma (2023 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Article
  12. Review
  13. A new era for hepatocellular carcinoma.Hepatobiliary surgery and nutrition · 2023
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. [Expert consensus on early screening strategies for liver cancer in China].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    Article
  19. Article
  20. [Consensus on secondary prevention of primary liver cancer (2021 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    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 4 institutions in 1 country.

Riccardo InchingoloDivision of Interventional Radiology, Department of Radiology, Madonna delle Grazie Hospital, Matera 75100, Italy. riccardoin@hotmail.it.
Riccardo FalettiDepartment of Surgical Sciences, Radiology Unit, University of Turin, Turin 10126, Italy.
Luigi GrazioliDepartment of Radiology, University of Brescia "Spedali Civili", Brescia 25123, Italy.
Eleonora TricaricoDivision of Interventional Radiology, Department of Radiology, Madonna delle Grazie Hospital, Matera 75100, Italy.
Marco GattiDepartment of Surgical Sciences, Radiology Unit, University of Turin, Turin 10126, Italy.
Anna PecorelliDepartment of Diagnostic Radiology, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy.
Davide IppolitoDepartment of Diagnostic Radiology, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy.
University of Milano-Bicocca · ITUniversity of Turin · ITOspedale Madonna Delle Grazie · ITUniversity of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date the imaging diagnosis of liver lesions is based mainly on the identification of vascular features, which are typical of overt hepatocellular carcinoma (HCC), but the hepatocarcinogenesis is a complex and multistep event during which, a spectrum of nodules develop within the liver parenchyma, including benign small and large regenerative nodule (RN), low-grade dysplastic nodule (LGDN), high-grade dysplastic nodule (HGDN), early HCC, and well differentiated HCC. These nodules may be characterised not only on the basis of their respective different blood supplies, but also on their different hepatocyte function. Recently, in liver imaging the introduction of hepatobiliary magnetic resonance imaging contrast agent offered the clinicians the possibility to obtain, at once, information not only related to the vascular changes of liver nodules but also information on hepatocyte function. For this reasons this new approach becomes the most relevant diagnostic clue for differentiating low-risk nodules (LGDN-RN) from high-risk nodules (HGDN/early HCC or overt HCC) and consequently new diagnostic algorithms for HCC have been proposed. The use of hepatobiliary contrast agents is constantly increasing and gradually changing the standard of diagnosis of HCC. The main purpose of this review is to underline the added value of Gd-EOB-DTPA in early-stage diagnoses of HCC. We also analyse the guidelines for the diagnosis and management of HCC, the key concepts of HCC development, growth and spread and the imaging appearance of precursor nodules that eventually may transform into overt HCC.

Indexed as

CirrhosisGadoxetic acidHepatobiliary contrast materialsLiverMagnetic resonance imaging

Identifiers

PMID30079132
PMCPMC6068846
OpenAlexW2883468388

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.