Evidence map›Paper›PMID 32715334›Full record

ReviewAbdominal radiology (New York)2021

Typical imaging finding of hepatic infections: a pictorial essay.

Sonaz Malekzadeh, Lucien Widmer, Faezeh Salahshour, Bernhard Egger, Maxime Ronot, Harriet C Thoeny

Abstract readReview
In one paragraph

Review in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. InvasiveInternational medical case reports journal · 2025
    Article
  6. Peribiliary cysts: Two case reports.Radiology case reports · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Imaging of abdominopelvic oncologic emergencies.Abdominal radiology (New York) · 2024
    Review
  12. Article
  13. Review
  14. 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

6 authors.

Sonaz MalekzadehDepartment of Diagnostic and Interventional Radiology, Fribourg Cantonal Hospital, Fribourg, Switzerland. soonazmalakzadeh@gmail.com.
Lucien WidmerDepartment of Diagnostic and Interventional Radiology, Fribourg Cantonal Hospital, Fribourg, Switzerland.
Faezeh SalahshourDepartment of Diagnostic and Interventional Radiology, Imam Khomeini Hospital, Tehran, Iran.
Bernhard EggerDepartment of Surgery, Fribourg Cantonal Hospital, Fribourg, Switzerland.
Maxime RonotDepartment of Radiology, AP-HP, HUPNVS, Beaujon Hospital, Clichy, France.
Harriet C ThoenyDepartment of Diagnostic and Interventional Radiology, Fribourg Cantonal Hospital, Fribourg, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic infections are frequent in clinical practice. Although epidemiological, clinical and laboratory data may suggest hepatic infection in certain cases, imaging is nearly always necessary to confirm the diagnosis, assess disease extension and its complications, evaluate the response to treatment, and sometimes to make differential diagnoses such as malignancies. Ultrasound (US) is usually the first-line investigation, while computed tomography (CT) and magnetic resonance imaging (MRI) provide better characterization and a more precise assessment of local extension, especially biliary and vascular. The purpose of this article is to describe the typical features and main complications of common hepatic infections. Familiarity with the radiological features of this entity can help suggest the correct diagnosis and the need for further studies as well as determine appropriate and timely treatment.

Indexed as

Liver DiseasesDiagnosis, DifferentialHumansMagnetic Resonance ImagingTomography, X-Ray ComputedHepatic infectionLiver imagingLiver infection

Identifiers

PMID32715334
PMCPMC7897188

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Registered trials

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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.