Literature DB >> 30340164

Assessing the accuracy of measurements obtained by dual-energy X-ray absorptiometry on pig carcasses and primal cuts.

M Kipper1, M Marcoux2, I Andretta3, C Pomar4.   

Abstract

Accuracy, trueness, and precision of dual-energy X-ray absorptiometry (DXA) assessment of pig carcasses and primal cuts dissected tissues were evaluated using available region of interests (ROI) and Total Body and Small Animal software modes. Fat mass, lean mass, and bone mineral content (BMC) DXA values were compared to dissected tissue weights (fat, muscle, and bones). Used ROI influenced (P < 0.05) DXA measurements of BMC, fat mass, and lean mass. Configuration modes influenced (P < 0.05) DXA fat mass in shoulders and bellies, whereas BMC estimates differed (P < 0.05) among configuration modes. Equations predicting dissected composition on the basis of DXA measurements showed high coefficients of determination, particularly for fat and lean masses. DXA is able to accurately evaluate the composition of pig carcasses and primal cuts. From a methodological viewpoint, and considering the variations observed in this study, the method for image acquisition and analysis should be chosen on the basis of the item to be evaluated.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Body composition; Bone mineral content; Dual-energy X-ray absorptiometry; Pork; Precision; Software settings

Mesh:

Year:  2018        PMID: 30340164     DOI: 10.1016/j.meatsci.2018.10.005

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  2 in total

1.  Official Position of the Brazilian Association of Bone Assessment and Metabolism (ABRASSO) on the evaluation of body composition by densitometry-part II (clinical aspects): interpretation, reporting, and special situations.

Authors:  Sergio Setsuo Maeda; Ben-Hur Albergaria; Vera Lúcia Szejnfeld; Marise Lazaretti-Castro; Henrique Pierotti Arantes; Marcela Ushida; Diogo Souza Domiciano; Rosa Maria Rodrigues Pereira; Rosângela Villa Marin-Mio; Mônica Longo de Oliveira; Laura Maria Carvalho de Mendonça; Mirley do Prado; Guilherme Cardenaz de Souza; Cecília Zanin Palchetti; Roseli Oselka Saccardo Sarni; Maria Teresa Terreri; Luiz Claudio Gonçalves de Castro; Silvana Martinez Baraldi Artoni; Lizandra Amoroso; Débora Emy Karcher; Carla M Prado; Maria Cristina Gonzalez; Marcelo de Medeiros Pinheiro
Journal:  Adv Rheumatol       Date:  2022-04-01

2.  Carcass and Primal Composition Predictions Using Camera Vision Systems (CVS) and Dual-Energy X-ray Absorptiometry (DXA) Technologies on Mature Cows.

Authors:  José Segura; Jennifer L Aalhus; Nuria Prieto; Ivy L Larsen; Manuel Juárez; Óscar López-Campos
Journal:  Foods       Date:  2021-05-18
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.