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Hologic双能X线吸收仪在评估内脏脂肪组织中的准确性

Precision of the Hologic DXA in the Assessment of Visceral Adipose Tissue.

作者信息

Goldberg Elijah K, Fung Ellen B

机构信息

Children's Hospital Oakland Research Institute, Oakland, CA, USA.

Children's Hospital Oakland Research Institute, Oakland, CA, USA; Department of Hematology, UCSF Benioff Children's Hospital Oakland, Oakland, CA, USA.

出版信息

J Clin Densitom. 2020 Oct-Dec;23(4):664-672. doi: 10.1016/j.jocd.2019.03.005. Epub 2019 Mar 20.

DOI:10.1016/j.jocd.2019.03.005
PMID:30992223
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6754313/
Abstract

INTRODUCTION

Visceral fat, also known as visceral adipose tissue (VAT), has been the focus of intensive research over the past several yr, as ground breaking studies have investigated its possible role in predicting long-term cardiac dysfunction, hypertension, and diabetes. Historically, magnetic resonance imaging and computed tomography were the instruments of choice for visceral fat quantification. However, with the introduction of visceral fat assessment software for Dual-energy X-ray Absorptiometry (DXA) scanners, DXA's use for VAT assessment has become increasingly common. To effectively utilize DXA in future VAT research studies, information about their precision and accuracy must be known. This study provides novel information regarding the precision of the Hologic Horizon DXA scanner in the assessment of VAT.

METHODS

Sixty individuals (32.7 ± 17.1 yr, 51% male, 40% with body mass index (BMI) > 25 kg/m) above the age of 16 years were recruited to participate in this study. Subjects found to be pregnant, have a lumbar vertebral compression fracture, nonremovable metal implants in the abdomen, or scoliosis/lordosis/kyphosis were excluded from the study. All subjects underwent 3 consecutive whole body scans on a Hologic Horizon A DXA scanner.

RESULTS

VAT mass ranged from 102 g to 1454 g. VAT precision improved with increasing BMI (p = 0.025): coefficient of variation (%CV) was 15.2% for underweight subjects (n = 2), 7.1% for healthy subjects (n = 34), 6.4% for overweight subjects (n = 18), and 4.7% for obese subjects (n = 6).

CONCLUSIONS

VAT measurement by Hologic DXA displays a satisfactory level of precision in individuals with a BMI of >18.5 kg/m. Precision was found to be higher in those with the greatest risk of cardio-metabolic dysfunction (individuals with high VAT). Due to its low cost, brief examination time, noninvasiveness, and limited radiation exposure, DXA may be considered the tool of choice for VAT determination in future studies.

摘要

引言

内脏脂肪,也称为内脏脂肪组织(VAT),在过去几年一直是深入研究的焦点,因为开创性研究探讨了其在预测长期心脏功能障碍、高血压和糖尿病方面的可能作用。从历史上看,磁共振成像和计算机断层扫描是内脏脂肪定量的首选工具。然而,随着双能X线吸收法(DXA)扫描仪的内脏脂肪评估软件的推出,DXA在VAT评估中的应用越来越普遍。为了在未来的VAT研究中有效利用DXA,必须了解其精度和准确性的信息。本研究提供了关于Hologic Horizon DXA扫描仪在评估VAT方面精度的新信息。

方法

招募了60名年龄在16岁以上的个体(32.7±17.1岁,51%为男性,40%体重指数(BMI)>25kg/m²)参与本研究。发现怀孕、有腰椎压缩性骨折、腹部有不可移除金属植入物或脊柱侧弯/前凸/后凸的受试者被排除在研究之外。所有受试者在Hologic Horizon A DXA扫描仪上连续进行3次全身扫描。

结果

VAT质量范围为102克至1454克。VAT精度随BMI增加而提高(p = 0.025):体重过轻受试者(n = 2)的变异系数(%CV)为15.2%,健康受试者(n = 34)为7.1%,超重受试者(n = 18)为6.4%,肥胖受试者(n = 6)为4.7%。

结论

Hologic DXA测量VAT在BMI>18.5kg/m²的个体中显示出令人满意的精度水平。在心脏代谢功能障碍风险最高的个体(VAT高的个体)中发现精度更高。由于其成本低、检查时间短、无创性和辐射暴露有限,DXA可能被认为是未来研究中VAT测定的首选工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/51805f797220/nihms-1524488-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/34bb25f5a3a2/nihms-1524488-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/dda4ccb4883e/nihms-1524488-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/82fed88ffb18/nihms-1524488-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/29dfb2ca3b5c/nihms-1524488-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/51805f797220/nihms-1524488-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/34bb25f5a3a2/nihms-1524488-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/dda4ccb4883e/nihms-1524488-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/82fed88ffb18/nihms-1524488-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/29dfb2ca3b5c/nihms-1524488-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6754313/51805f797220/nihms-1524488-f0005.jpg

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