Evidence map›Paper›PMID 33924697›Full record

ArticleAnimals : an open access journal from MDPI2021

Application of Ultrasound Images Texture Analysis for the Estimation of Intramuscular Fat Content in the

Giorgia Fabbri, Matteo Gianesella, Luigi Gallo, Massimo Morgante, Barbara Contiero, Michele Muraro, Matteo Boso, Enrico Fiore

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. 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
1.6field-weighted citation impact, top 19% 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, 19 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Giorgia FabbriDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0001-6452-5904
Matteo GianesellaDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.
Luigi GalloDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0002-8908-5105
Massimo MorganteDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.
Barbara ContieroDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0002-6586-5035
Michele MuraroVeterinary Freelance, 37100 Verona, Italy.
Matteo BosoVeterinary Service of Società Agricola Vio, 30020 Eraclea, Italy.
Enrico FioreDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0002-0377-9553
University of Padua · IT

Funding

European Social Fund 2105-113-2121-201
6 · The paper itself

Abstract

Intramuscular fat (IMF) is a major trait in the evaluation of beef meat, but its determination is subjective and inconsistent and still relies on visual inspection. This research objective was a method to predict IMF% from beef meat using ultrasound (US) imaging texture analysis. US images were performed on the

Indexed as

beef cattlecarcasses IMF evaluationintramuscular fat predictionultrasonographyultrasound texture analysis

Identifiers

PMID33924697
PMCPMC8069777
OpenAlexW3155553433

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.