Evidence map›Paper›PMID 29531482›Full record

ArticleThe Eurasian journal of medicine2018

Computed Tomography Perfusion Imaging for the Diagnosis of Hepatic Alveolar Echinococcosis.

Recep Sade, Mecit Kantarci, Berhan Genc, Hayri Ogul, Betul Gundogdu, Omer Yilmaz

Open access · diamondAbstract read
In one paragraph

Article in The Eurasian journal of medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. 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 at 1 institution in 1 country.

Recep SadeDepartment of Radiology, Atatürk University School of Medicine, Erzurum, Turkey.
Mecit KantarciDepartment of Radiology, Atatürk University School of Medicine, Erzurum, Turkey.
Berhan GencDepartment of Radiology, Atatürk University School of Medicine, Erzurum, Turkey.
Hayri OgulDepartment of Radiology, Atatürk University School of Medicine, Erzurum, Turkey.
Betul GundogduDepartment of Pathology, Atatürk University School of Medicine, Erzurum, Turkey.
Omer YilmazDepartment of Gastroenterology, Atatürk University School of Medicine, Erzurum, Turkey.
Atatürk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAlveolar echinococcosis (AE) is a rare life-threatening parasitic infection. Computed tomography perfusion (CTP) imaging has the potential to provide both quantitative and qualitative information about the tissue perfusion characteristics. The purpose of this study was the examination of the characteristic features and feasibility of CTP in AE liver lesions. MATERIAL AND

methodsCTP scanning was performed in 25 patients who had a total of 35 lesions identified as AE of the liver. Blood flow (BF), blood volume (BV), portal venous perfusion (PVP), arterial liver perfusion (ALP), and hepatic perfusion indexes (HPI) were computed for background liver parenchyma and each AE lesion.

resultsSignificant differences were detected between perfusion values of the AE lesions and background liver tissue. The BV, BF, ALP, and PVP values for all components of the AE liver lesions were significantly lower than the normal liver parenchyma (p<0.01).

conclusionsWe suggest that perfusion imaging can be used in AE of the liver. Thus, the quantitative knowledge of perfusion parameters are obtained via CT perfusion imaging.

Indexed as

alveolar echinococcosiscomputed tomography perfusion imagingLiver

Identifiers

PMID29531482
PMCPMC5843444
OpenAlexW2775482688

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.