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Title: A novel and simple formula to predict liver mass in porcine experimental models.
Author: Martínez de la Maza, Lilia
Prado, Verónica
Hessheimer, Amelia Judith
Muñoz, Javier
García-Valdecasas Salgado, Juan Carlos
Fondevila Campo, Constantino
Keywords: Cirurgia hepàtica
Medicina regenerativa
Anàlisi de regressió
Liver surgery
Regenerative medicine
Regression analysis
Issue Date: 28-Aug-2019
Publisher: Nature Publishing Group
Abstract: A primary limitation in hepatic surgery is leaving a remnant liver of adequate size and function. Experimental models have been designed to study processes of liver injury and regeneration in this context, yet a formula to accurately calculate liver mass in an animal model is lacking. This study aims to create a novel and simple formula to estimate the mass of the native liver in a species of pigs commonly used in experimental liver surgery protocols. Using data from 200 male weanling Landrace-Large White hybrid pigs, multiple linear regression analysis is used to generate the formula. Clinical features used as variables for the predictive model are body mass and length. The final formula for pig liver mass is as follows: Liver mass (g) = 26.34232 * Body mass (kg) - 1.270629 * Length (cm) + 163.0076; R2 = 0.7307. This formula for porcine liver mass is simple to use and may be helpful in studies using animals of similar characteristics to evaluate restoration of liver mass following major hepatectomy.
Note: Reproducció del document publicat a:
It is part of: Scientific Reports, 2019, vol. 9, p. 12459-1245
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ISSN: 2045-2322
Appears in Collections:Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques)

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