Evidence map›Paper›PMID 36038190›Full record

ArticleJournal of veterinary science2022

CT imaging features of fat stranding in cats and dogs with abdominal disorder.

Seolyn Jang, Suhyun Lee, Jihye Choi

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

3 authors at 2 institutions in 2 countries.

Seolyn JangDepartment of Veterinary Medical Imaging, College of Veterinary Medicine and BK 21 Plus Project Team, Chonnam National University, Gwangju 61186, Korea.ORCID https://orcid.org/0000-0001-5757-6893
Suhyun LeeDepartment of Veterinary Medical Imaging, College of Veterinary Medicine and BK 21 Plus Project Team, Chonnam National University, Gwangju 61186, Korea.ORCID https://orcid.org/0000-0002-3153-0691
Jihye ChoiDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea. imsono@snu.ac.kr.ORCID https://orcid.org/0000-0002-1258-7158
National University College · PRSeoul National University · KR

Funding

Animal Medical Institute of Seoul National UniversityNational Research Foundation of Korea NRF-2018R1A2B6006775
6 · The paper itself

Abstract

backgroundFat stranding is a non-specific finding of an increased fat attenuation on computed tomography (CT) images. Fat stranding is used for detecting the underlying lesion in humans.

objectivesTo assess the clinical significance of fat stranding on CT images for identifying the underlying cause in dogs and cats.

methodsIn this retrospective study, the incidence, location, extent, distribution, and pattern of fat stranding were assessed on CT studies obtained from 134 cases.

resultsFat stranding was found in 38% (51/134) of all cases and in 35% (37/107) of tumors, which was significantly higher in malignant tumors (44%) than benign tumors (12%). Moreover, fat stranding was found in more than two areas in malignant tumors (16/33) and in a single area in benign tumors (4/4). In inflammation, fat stranding was demonstrated in 54% (7/13) in a single area (7/7) as a focal distribution (6/7). In trauma, fat stranding was revealed in 50% (7/14) and most were in multiple areas (6/7). Regardless of the etiologies, fat stranding was always around the underlying lesion and a reticular pattern was the most common presentation. Logistic regression analysis revealed that multiple areas (

conclusionsThese findings indicated that CT fat stranding can be used as a clue for identifying the underlying lesion and can be useful for narrowing the differential list based on the extent and pattern.

Indexed as

Cat DiseasesDog DiseasesAnimalsCatsDogsHumansRetrospective StudiesTomography, X-Ray ComputedCTmesenteryomentumreticularreticulonodular pattern

Identifiers

PMID36038190
PMCPMC9715384
OpenAlexW4289816847

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.