Evidence map›Paper›PMID 24834487›Full record

ReviewDiagnostic and interventional radiology (Ankara, Turkey)

Perfusion CT imaging of the liver: review of clinical applications.

Hayri Oğul, Mecit Kantarcı, Berhan Genç, Berhan Pirimoğlu, Neşat Cullu, Yeşim Kızrak, Omer Yılmaz, Nevzat Karabulut

Open access · greenAbstract readReview
In one paragraph

Review in Diagnostic and interventional radiology (Ankara, Turkey). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  6. Review
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  8. Review
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  11. Review
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  15. Article
  16. Article
  17. Low-Dose CT Perfusion of the Liver using Reconstruction of Difference.IEEE transactions on radiation and plasma medical sciences · 2018
    Article
  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

8 authors at 1 institution in 1 country.

Hayri OğulDepartment of Radiology, Atatürk University, School of Medicine, Erzurum, Turkey. akkanrad@hotmail.com.
Mecit Kantarcı
Berhan Genç
Berhan Pirimoğlu
Neşat Cullu
Yeşim Kızrak
Omer Yılmaz
Nevzat Karabulut
Atatürk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perfusion computed tomography (CT) has a great potential for determining hepatic and portal blood flow; it offers the advantages of quantitative determination of lesion hemodynamics, distinguishing malignant and benign processes, as well as providing morphological data. Many studies have reported the use of this method in the assessment of hepatic tumors, hepatic fibrosis associated with chronic liver disease, treatment response following radiotherapy and chemotherapy, and hepatic perfusion changes after radiological or surgical interventions. The main goal of liver perfusion imaging is to improve the accuracy in the characterization of liver disorders. In this study, we reviewed the clinical application of perfusion CT in various hepatic diseases.

Indexed as

HumansLiverLiver DiseasesTomography, X-Ray Computed

Identifiers

PMID24834487
PMCPMC4463335
OpenAlexW2102326700

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.