Evidence map›Paper›PMID 42676921›Full record

ArticleVeterinary medicine international2026

Computed Tomography of

Javad Abbasi, Amin Zamani, Majid Masoudi Fard, Mostafa Abdollahi, Arezoo Ramezani, Amin Anoushepour, Danial Goli

Abstract read
In one paragraph

Article in Veterinary medicine international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Computed Tomography ofVeterinary medicine international · 2026
    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.

Javad AbbasiDepartment of Animal and Poultry Health and Nutrition, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran, ut.ac.ir.ORCID https://orcid.org/0000-0003-3143-3178
Amin ZamaniDepartment of Veterinary Clinical Sciences, Ka.C., Islamic Azad University, Karaj, Iran, azad.ac.ir.ORCID https://orcid.org/0009-0006-1017-1067
Majid Masoudi FardDepartment of Radiology and Surgery, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran, ut.ac.ir.ORCID https://orcid.org/0000-0001-9087-6919
Mostafa AbdollahiDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Semnan University, Semnan, Iran, semnan.ac.ir.ORCID https://orcid.org/0000-0001-5091-7560
Arezoo RamezaniDepartment of Radiology and Surgery, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran, ut.ac.ir.
Amin AnoushepourDepartment of Veterinary Clinical Sciences, Ka.C., Islamic Azad University, Karaj, Iran, azad.ac.ir.ORCID https://orcid.org/0000-0003-2681-8268
Danial GoliDepartment of Veterinary Clinical Sciences, Ka.C., Islamic Azad University, Karaj, Iran, azad.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Coenurosis is an important cause of neurological disease in sheep in endemic regions. Ante-mortem diagnosis is primarily based on clinical signs, which are often nonspecific. Computed tomography (CT) can detect intracranial cystic lesions. This study aimed to describe CT imaging features of Methods: Twenty 7-month-old Afshari male lambs with neurological signs consistent with coenurosis and 20 healthy matched controls were included. Affected animals underwent neurological examination, clinical severity scoring, and cranial CT imaging using a standardized protocol. Cyst number, volume, and anatomical location were recorded, and Hounsfield unit (HU) values of cyst fluid, brain parenchyma, and skull bone were measured. Diagnosis was confirmed by gross pathological examination and PCR targeting the mitochondrial COX1 gene. Associations between CT variables and clinical findings were analyzed using regression models. Results: All cysts identified at necropsy were detected by CT, corresponding to a sensitivity of 100%. No significant associations were found between cyst number, size, or location and neurological signs or clinical severity score ( Conclusion: CT is highly sensitive for detecting cerebral cysts in sheep with coenurosis. However, CT-derived structural features are not associated with clinical severity and should not be used for prognostic evaluation. CT remains a valuable adjunct diagnostic tool when interpreted alongside clinical findings.

Indexed as

brain imagingclinical severityHounsfield unitintracranial cystslesion localizationmolecular diagnosis

Identifiers

PMID42676921
PMCPMC13528440

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.