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使用双能X线吸收测定法(DXA)和磁共振成像(MRI)对猪内脏脂肪组织进行表型分析。

Phenotyping of the Visceral Adipose Tissue Using Dual Energy X-Ray Absorptiometry (DXA) and Magnetic Resonance Imaging (MRI) in Pigs.

作者信息

C Weigand Anna, Schweizer Helen, Knob Deise Aline, Scholz Armin M

机构信息

Livestock Center Oberschleissheim, Veterinary Faculty of the Ludwig-Maximilians-University Munich, 85764 Oberschleissheim, Germany.

Universidade do Estado de Santa Catarina, Centro de Ciências Agroveterinárias, Lages 88.520-000, Brazil.

出版信息

Animals (Basel). 2020 Jul 9;10(7):1165. doi: 10.3390/ani10071165.

DOI:10.3390/ani10071165
PMID:32660013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7401593/
Abstract

The objective of this study was to phenotype visceral adipose tissue (VAT) in pigs. In this context, the ability to detect VAT by using the DXA CoreScan mode within the enCORE software, version 17 (GE Healthcare) was evaluated in comparison with MRI measurements (Siemens Magnetom C!) of the same body region. A number of 120 crossbred pigs of the F1 and F2 generation, with the parental breeds Large White, Landrace, Piétrain, and Duroc, were examined at an age of 150 days. A whole-body scan in two different modes ("thick", "standard") was carried out by a GE Lunar iDXA scanner. Very strong relationships (R = 0.95, RMSE = 175cm) were found for VAT between the two DXA modes. The comparison of VAT measured by MRI and DXA shows high linear relationships ("thick": R = 0.76, RMSE = 399.25cm/"standard": R = 0.71, RMSE = 443.42cm), but is biased, according to the Bland-Altman analysis. A variance analysis of VAT shows significant differences for both DXA modes and for MRI between male and female pigs, as well as between F1 and F2. In conclusion, DXA "CoreScan" has the ability to estimate VAT in pigs with a close relationship to MRI but needs bias correction.

摘要

本研究的目的是对猪的内脏脂肪组织(VAT)进行表型分析。在此背景下,将enCORE软件版本17(GE医疗)中的DXA CoreScan模式检测VAT的能力与同一身体部位的MRI测量结果(西门子Magnetom C!)进行了比较。对120头F1和F2代杂种猪进行了检查,其亲本品种为大白猪、长白猪、皮特兰猪和杜洛克猪,检查时猪龄为150天。使用GE Lunar iDXA扫描仪以两种不同模式(“厚层”、“标准”)进行了全身扫描。两种DXA模式下的VAT之间存在非常强的相关性(R = 0.95,RMSE = 175cm)。MRI和DXA测量的VAT比较显示出高度线性相关性(“厚层”:R = 0.76,RMSE = 399.25cm/“标准”:R = 0.71,RMSE = 443.42cm),但根据Bland-Altman分析存在偏差。VAT的方差分析显示,DXA两种模式以及MRI在公猪和母猪之间以及F1和F2之间均存在显著差异。总之,DXA“CoreScan”能够估计猪的VAT,与MRI密切相关,但需要进行偏差校正。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5a4/7401593/3b0b7d7a4153/animals-10-01165-g008.jpg
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