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健康及超重儿童身体成分的自由呼吸磁共振成像评估:一项观察性研究

Free-breathing Magnetic Resonance Imaging Assessment of Body Composition in Healthy and Overweight Children: An Observational Study.

作者信息

Ly Karrie V, Armstrong Tess, Yeh Joanna, Ghahremani Shahnaz, Kim Grace H, Wu Holden H, Calkins Kara L

机构信息

Division of Neonatology and Developmental Biology, Department of Pediatrics, Neonatal Research Center.

Department of Radiological Sciences.

出版信息

J Pediatr Gastroenterol Nutr. 2019 Jun;68(6):782-787. doi: 10.1097/MPG.0000000000002309.

DOI:10.1097/MPG.0000000000002309
PMID:30789865
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6752952/
Abstract

OBJECTIVE

Conventional, breath-holding magnetic resonance imaging (MRI) assesses body composition by measuring fat volumes and proton density fat fraction (PDFF). However, breath-holding MRI is not always feasible in children. This study's objective was to use free-breathing MRI to quantify visceral and subcutaneous fat volumes and PDFFs and correlate these measurements with hepatic PDFF.

METHODS

This was an observational, hypothesis-forming study that enrolled 2 groups of children (ages 6-17 years), healthy children and overweight children with presumed nonalcoholic fatty liver disease. Free-breathing MRI was used to measure visceral and subcutaneous fat volumes and PDFFs, and hepatic PDFF. Imaging biomarkers were compared between groups, and correlations coefficients (r) and coefficients of determination (R) were calculated.

RESULTS

When compared with the control group (n = 10), the overweight group (n = 9) had greater mean visceral (1843 vs 329 cm, P < 0.001) and subcutaneous fat volumes (7663 vs 893 cm, P < 0.001), as well as greater visceral (80% vs 45%, p < 0.001) and subcutaneous fat PDFFs (89% vs 75%, P = 0.003). Visceral fat volume (r = 0.79, P < 0.001) and PDFF (r = 0.92, P < 0.001) correlated with hepatic PDFF. In overweight subjects, for each unit increase in visceral fat PDFF, hepatic PDFF increased by 2.64%; visceral fat PDFF explained 54% of hepatic PDFF variation (R = 0.54, P = 0.02).

CONCLUSIONS

In this study, we used free-breathing MRI to measure body composition in children. Future studies are needed to investigate the possible value of subcutaneous and visceral fat PDFFs, and validate free-breathing MRI body composition biomarkers.

摘要

目的

传统的屏气磁共振成像(MRI)通过测量脂肪体积和质子密度脂肪分数(PDFF)来评估身体成分。然而,屏气MRI在儿童中并不总是可行的。本研究的目的是使用自由呼吸MRI来量化内脏和皮下脂肪体积及PDFF,并将这些测量值与肝脏PDFF进行关联。

方法

这是一项观察性、形成假设的研究,纳入了两组儿童(6 - 17岁),即健康儿童和疑似非酒精性脂肪性肝病的超重儿童。使用自由呼吸MRI测量内脏和皮下脂肪体积及PDFF,以及肝脏PDFF。比较两组之间的成像生物标志物,并计算相关系数(r)和决定系数(R)。

结果

与对照组(n = 10)相比,超重组(n = 9)的平均内脏脂肪体积(1843 vs 329 cm,P < 0.001)和皮下脂肪体积(7663 vs 893 cm,P < 0.001)更大,内脏脂肪PDFF(80% vs 45%,p < 0.001)和皮下脂肪PDFF(89% vs 75%,P = 0.003)也更高。内脏脂肪体积(r = 0.79,P < 0.001)和PDFF(r = 0.92,P < 0.001)与肝脏PDFF相关。在超重受试者中,内脏脂肪PDFF每增加一个单位,肝脏PDFF增加2.64%;内脏脂肪PDFF解释了肝脏PDFF变异的54%(R = 0.54,P = 0.02)。

结论

在本研究中,我们使用自由呼吸MRI测量儿童的身体成分。未来需要进一步研究皮下和内脏脂肪PDFF的潜在价值,并验证自由呼吸MRI身体成分生物标志物。

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本文引用的文献

1
Body Composition Profiling in the UK Biobank Imaging Study.英国生物库影像研究中的身体成分分析。
Obesity (Silver Spring). 2018 Nov;26(11):1785-1795. doi: 10.1002/oby.22210. Epub 2018 May 22.
2
Free-breathing quantification of hepatic fat in healthy children and children with nonalcoholic fatty liver disease using a multi-echo 3-D stack-of-radial MRI technique.使用多回波三维径向磁共振成像技术对健康儿童和非酒精性脂肪性肝病儿童的肝脏脂肪进行自由呼吸定量分析。
Pediatr Radiol. 2018 Jul;48(7):941-953. doi: 10.1007/s00247-018-4127-7. Epub 2018 May 4.
3
Diagnostic accuracy of magnetic resonance imaging hepatic proton density fat fraction in pediatric nonalcoholic fatty liver disease.磁共振成像肝质子密度脂肪分数对儿童非酒精性脂肪性肝病的诊断准确性。
Hepatology. 2018 Mar;67(3):858-872. doi: 10.1002/hep.29596. Epub 2018 Jan 26.
4
Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.使用磁共振成像测量肝脏质子密度脂肪分数的线性、偏差和精密度:一项荟萃分析
Radiology. 2018 Feb;286(2):486-498. doi: 10.1148/radiol.2017170550. Epub 2017 Sep 11.
5
Agreement Between Magnetic Resonance Imaging Proton Density Fat Fraction Measurements and Pathologist-Assigned Steatosis Grades of Liver Biopsies From Adults With Nonalcoholic Steatohepatitis.非酒精性脂肪性肝炎成人肝脏活检的磁共振成像质子密度脂肪分数测量值与病理学家指定的脂肪变性分级之间的一致性
Gastroenterology. 2017 Sep;153(3):753-761. doi: 10.1053/j.gastro.2017.06.005. Epub 2017 Jun 15.
6
BMI is a poor predictor of adiposity in young overweight and obese children.身体质量指数(BMI)并非年轻超重及肥胖儿童肥胖程度的良好预测指标。
BMC Pediatr. 2017 Jun 2;17(1):135. doi: 10.1186/s12887-017-0891-z.
7
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Magn Reson Med. 2018 Jan;79(1):370-382. doi: 10.1002/mrm.26693. Epub 2017 Apr 16.
8
Anesthesia and Developing Brains - Implications of the FDA Warning.麻醉与发育中的大脑——美国食品药品监督管理局警告的影响
N Engl J Med. 2017 Mar 9;376(10):905-907. doi: 10.1056/NEJMp1700196. Epub 2017 Feb 8.
9
Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis.使用3特斯拉磁共振成像和免费图像分析软件对肥胖与健康青少年的腹部脂肪进行量化分析。
PLoS One. 2017 Jan 27;12(1):e0167625. doi: 10.1371/journal.pone.0167625. eCollection 2017.
10
NASPGHAN Clinical Practice Guideline for the Diagnosis and Treatment of Nonalcoholic Fatty Liver Disease in Children: Recommendations from the Expert Committee on NAFLD (ECON) and the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition (NASPGHAN).NASPGHAN儿童非酒精性脂肪性肝病诊断与治疗临床实践指南:非酒精性脂肪性肝病专家委员会(ECON)及北美儿科胃肠病学、肝病学和营养学会(NASPGHAN)的建议
J Pediatr Gastroenterol Nutr. 2017 Feb;64(2):319-334. doi: 10.1097/MPG.0000000000001482.