Morphometric traits to estimate brain and liver weight and their ratio for the diagnosis of intrauterine growth restriction in newborn piglets.

Birth weight Computed tomography Image analysis Predictive models Regression equations

Journal

Animal : an international journal of animal bioscience
ISSN: 1751-732X
Titre abrégé: Animal
Pays: England
ID NLM: 101303270

Informations de publication

Date de publication:
19 Jul 2024
Historique:
received: 20 11 2023
revised: 09 07 2024
accepted: 12 07 2024
medline: 10 8 2024
pubmed: 10 8 2024
entrez: 9 8 2024
Statut: aheadofprint

Résumé

Intrauterine growth restriction (IUGR) is defined as inadequate foetal growth during gestation. In response to placenta insufficiency, IUGR piglets prioritise brain development as a survival mechanism. This adaptation leads to a higher brain-to-liver weight ratio (BrW/LW) at birth. This study assessed the potential of using morphometric traits to estimate brain (BrW) and liver (LW) weights, enabling non-invasive diagnosis of IUGR in newborn piglets. At birth, body weight (BtW) of individual piglets (n = 144) was recorded. One day (± 1) after birth, BrW and LW were measured with computed tomography (n = 94) or by weighing the organs after natural death or euthanasia (n = 50). Additionally, 20 morphometric traits were captured from images of each piglet and correlated with the BrW and LW. The morphometric traits that showed a r ≥ 0.70 in linear correlation with the BrW or LW were selected. Each selected trait was combined as an independent variable with BtW to develop multiple linear regression models to predict the BrW and LW. Six models were chosen based on the highest adjusted R

Identifiants

pubmed: 39121722
pii: S1751-7311(24)00193-9
doi: 10.1016/j.animal.2024.101262
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101262

Informations de copyright

Copyright © 2024 Agroscope. Published by Elsevier B.V. All rights reserved.

Auteurs

R Ruggeri (R)

Swine Research Unit, Agroscope, Route de la Tioleyre 4, 1725 Posieux, Switzerland; Department of Agricultural and Food Sciences (DISTAL), University of Bologna, viale G Fanin 44, 40127 Bologna, Italy.

G Bee (G)

Swine Research Unit, Agroscope, Route de la Tioleyre 4, 1725 Posieux, Switzerland.

P Trevisi (P)

Department of Agricultural and Food Sciences (DISTAL), University of Bologna, viale G Fanin 44, 40127 Bologna, Italy.

C Ollagnier (C)

Swine Research Unit, Agroscope, Route de la Tioleyre 4, 1725 Posieux, Switzerland. Electronic address: catherine.ollagnier@agroscope.admin.ch.

Classifications MeSH