Literature DB >> 29722809

Repeatability and reproducibility of measurements obtained by dual-energy X-ray absorptiometry on pig carcasses.

M Kipper1,2, M Marcoux1, I Andretta3, C Pomar1.   

Abstract

The precision of a dual-energy X-ray absorptiometry (DXA) device in terms of repeatability and reproducibility was evaluated on nine left half-carcasses from pigs with large variability in body weight and fat content. Repeatability was assessed by scanning each carcass 10 times sequentially in the same position. Reproducibility was assessed by scanning each carcass in 10 different positions. Images were analyzed with DXA software using a custom region of interest (ROI) and the standard head, trunk, arm, and leg ROI. Predicted values from the DEXA for bone mineral content (BMC), bone area, bone mineral density (BMD), total weight, soft-tissue weight, fat-tissue weight, and lean-tissue weight were considered. Repeatability was associated with the variance between measurements on the same carcass in the same position (repeatability conditions). An average variance value was obtained with all the carcasses combined, and the SD was calculated as the square root of this combined variance. The CV was the ratio between the SD of the measurements and its average value. Reproducibility was calculated for each carcass as the difference between the variance obtained under the reproducibility conditions and that obtained under the repeatability conditions. The effects of the ROI and conditions were evaluated by ANOVA and Tukey's test. Means of BMC, bone area, BMD, fat tissue, and lean tissue differed among the ROI (P < 0.05) in both the repeatability and reproducibility conditions. The CV of DXA measurements under repeatability condition obtained in the head, arm, and leg ROI was lesser than 1%. Only the repeatability errors of fat tissue differed (P < 0.05) among the ROI, with the lowest precision found for the trunk ROI. The reproducibility errors of BMC, bone area, fat tissue, and lean tissue differed (P < 0.05) among the ROI. The custom ROI had reproducibility errors greater than 2% for fat tissue and greater than 3.5% for BMC and bone area. In addition, the trunk ROI had the highest reproducibility errors for fat tissue (20.7%) and lean tissue (6.2%) when compared to the other ROI. In conclusion, repeatability and reproducibility results obtained for most of the studied ROI indicate that DXA is a valuable tool for carcass evaluation. From a methodological viewpoint and considering the variations observed in this study, the ROI should be chosen based on the item to be evaluated or on the conditions in which the DXA measurements are to be taken.

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Year:  2018        PMID: 29722809      PMCID: PMC6140857          DOI: 10.1093/jas/skx046

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  16 in total

1.  Estimation of Canadian and European lean yields and composition of pig carcasses by dual-energy X-ray absorptiometry.

Authors:  M Marcoux; J F Bernier; C Pomar
Journal:  Meat Sci       Date:  2003-03       Impact factor: 5.209

2.  Accuracy of dual energy X-ray absorptiometry (DXA) in assessing carcass composition from different pig populations.

Authors:  O P Soladoye; Ó López Campos; J L Aalhus; C Gariépy; P Shand; M Juárez
Journal:  Meat Sci       Date:  2016-07-01       Impact factor: 5.209

3.  Dual-energy X-ray absorptiometry of the pig: Protocol development and evaluation.

Authors:  D H Nielsen; F J McEvoy; H L Poulsen; M T Madsen; L E Buelund; E Svalastoga
Journal:  Meat Sci       Date:  2004-10       Impact factor: 5.209

4.  Genetic effects on bone loss in peri- and postmenopausal women: a longitudinal twin study.

Authors:  Joanna Makovey; Tuan V Nguyen; Vasi Naganathan; John D Wark; Philip N Sambrook
Journal:  J Bone Miner Res       Date:  2007-11       Impact factor: 6.741

5.  Manual segmentation of DXA scan images results in reliable upper and lower extremity soft and rigid tissue mass estimates.

Authors:  Timothy A Burkhart; Katherine L Arthurs; David M Andrews
Journal:  J Biomech       Date:  2009-04-07       Impact factor: 2.712

6.  Dual-energy x-ray absorptiometry for total-body and regional bone-mineral and soft-tissue composition.

Authors:  R B Mazess; H S Barden; J P Bisek; J Hanson
Journal:  Am J Clin Nutr       Date:  1990-06       Impact factor: 7.045

7.  Body composition analysis of small pigs by dual-energy x-ray absorptiometry.

Authors:  A D Mitchell; A M Scholz; J M Conway
Journal:  J Anim Sci       Date:  1998-09       Impact factor: 3.159

8.  Body composition analysis of chickens by dual energy x-ray absorptiometry.

Authors:  A D Mitchell; R W Rosebrough; J M Conway
Journal:  Poult Sci       Date:  1997-12       Impact factor: 3.352

Review 9.  Measurement of soft tissue composition by dual energy X-ray absorptiometry.

Authors:  S A Jebb
Journal:  Br J Nutr       Date:  1997-02       Impact factor: 3.718

10.  Effect of breed on body composition and comparison between various methods to estimate body composition in dogs.

Authors:  I Jeusette; D Greco; F Aquino; J Detilleux; M Peterson; V Romano; C Torre
Journal:  Res Vet Sci       Date:  2009-08-18       Impact factor: 2.534

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Authors:  Hector Hernando Salgado; Candido Pomar; Marie-France Palin; Hélène Lapierre; Marie-Pierre Létourneau-Montminy; John P Cant; Aline Remus
Journal:  Sci Rep       Date:  2022-08-26       Impact factor: 4.996

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

3.  Dual-energy X-ray absorptiometry scans accurately predict differing body fat content in live sheep.

Authors:  David W Miller; Ellen J Bennett; Joanne L Harrison; Fiona Anderson; Clare L Adam
Journal:  J Anim Sci Biotechnol       Date:  2018-11-12
  3 in total

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