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作为肥胖诊断工具的数字生物特征识别:当前应用及未来方向综述

Digital Biometry as an Obesity Diagnosis Tool: A Review of Current Applications and Future Directions.

作者信息

Porterfield Florence, Shapoval Vladyslav, Langlet Jérémie, Samouda Hanen, Stanford Fatima Cody

机构信息

Department of Medicine-Metabolism Unit, Massachusetts General Hospital, Boston, MA 02114, USA.

Clinical Pharmacy and Pharmacoepidemiology Research Group, Louvain Drug Research Institute (LDRI), Université Catholique de Louvain-UCLouvain, 1200 Brussels, Belgium.

出版信息

Life (Basel). 2024 Jul 28;14(8):947. doi: 10.3390/life14080947.

DOI:10.3390/life14080947
PMID:39202689
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11355313/
Abstract

Obesity is a chronic relapsing disease and a major public health concern due to its high prevalence and associated complications. Paradoxically, several studies have found that obesity might positively impact the prognosis of patients with certain existing chronic diseases, while some individuals with normal BMI may develop obesity-related complications. This phenomenon might be explained by differences in body composition, such as visceral adipose tissue (VAT), total body fat (TBF), and fat-free mass (FFM). Indirect measures of body composition such as body circumferences, skinfold thicknesses, and bioelectrical impedance analysis (BIA) devices are useful clinically and in epidemiological studies but are often difficult to perform, time-consuming, or inaccurate. Biomedical imaging methods, i.e., computerized tomography scanners (CT scan), dual-energy X-ray absorptiometry (DEXA), and magnetic resonance imaging (MRI), provide accurate assessments but are expensive and not readily available. Recent advancements in 3D optical image technology offer an innovative way to assess body circumferences and body composition, though most machines are costly and not widely available. Two-dimensional optical image technology might offer an interesting alternative, but its accuracy needs validation. This review aims to evaluate the efficacy of 2D and 3D automated body scan devices in assessing body circumferences and body composition.

摘要

肥胖是一种慢性复发性疾病,由于其高患病率和相关并发症,成为主要的公共卫生问题。矛盾的是,多项研究发现,肥胖可能对某些现有慢性疾病患者的预后产生积极影响,而一些体重指数(BMI)正常的个体可能会出现与肥胖相关的并发症。这种现象可能由身体成分的差异来解释,如内脏脂肪组织(VAT)、全身脂肪(TBF)和去脂体重(FFM)。身体成分的间接测量方法,如身体周长、皮褶厚度和生物电阻抗分析(BIA)设备,在临床和流行病学研究中很有用,但往往难以实施、耗时或不准确。生物医学成像方法,即计算机断层扫描仪(CT扫描)、双能X线吸收法(DEXA)和磁共振成像(MRI),能提供准确的评估,但成本高昂且不易获得。3D光学图像技术的最新进展提供了一种评估身体周长和身体成分的创新方法,不过大多数设备价格昂贵且未广泛应用。二维光学图像技术可能是一个有趣的替代方法,但其准确性需要验证。本综述旨在评估二维和三维自动身体扫描设备在评估身体周长和身体成分方面的功效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56cb/11355313/46cdf73ecc46/life-14-00947-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56cb/11355313/46cdf73ecc46/life-14-00947-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56cb/11355313/46cdf73ecc46/life-14-00947-g001.jpg

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