Advancing 3D optical body surface scan technology to assess physiological and psychological effects in highly obese population

项目摘要 目前测量肥胖的生理或心理影响的技术，特别是肥胖 手术要么缺乏敏感性，要么是侵入性的，要么需要昂贵的专门设备。用于测量 生理效应，BMI通常用来 尽管已知肥胖是一种标志，但仍可诊断肥胖 新陈代谢综合症。生物标志物，如人体测量(例如，腰臀比)和内脏 脂肪组织(VAT)已被证明在预测与肥胖相关的健康风险方面优于BMI， 但这些方法缺乏敏感性、特异性，或者价格昂贵。另一个与肥胖有关的主要发病率 非酒精性脂肪性肝病(NAFLD)和非酒精性脂肪性肝炎(NASH)。金本位制 这些情况的诊断和评估是肝活检的组织学评估。光纤扫描瞬变 弹性成像是一种非侵入性测试，也可以评估纤维化，但高BMI和严重的脂肪变性可能会。 降低其精确度。这些方法要么是侵入性的，要么成本高昂，要么相对不准确。衡量标准 自我身体感知通常被用来评估肥胖的心理方面，因为身体形象是一种 饮食、体力活动和减肥意向的重要推动力。身体意象知觉通常是 使用自我报告和卡通式的线条画进行评估，这些都是非特定主题和不敏感的。 基于我们的前期工作(R21HL124443)，开发了光学身体扫描技术来捕获3D 用便宜的硬件来研究身体形态，我们建议用这项技术来研究生理和 严重肥胖者的心理影响： ·开发预测肝脏脂肪变性、纤维化、肥胖症和血液生物标记物的算法 扫描。光学扫描和活组织检查数据将用作培训和验证集，以制定 基于机器学习的三维体表生物标志物非侵入性预测算法 数据。 ·开发使用光学扫描来测量肥胖的生理影响。我们将进行一项 进一步评估光学表面扫描的使用情况的横断面和纵向研究 与肥胖有关的健康指标(使用表面扫描、DXA和血清生物标记物的数据) 手术后一年。我们将建立一个此类数据的数据库以及数据挖掘软件 数据库。 ·开发使用光学扫描来测量肥胖的心理影响。我们将收集3D 使用光学扫描和变形来产生特定于对象的每个对象的表面几何图形 体型较大或较小的图像。我们将使用这些图像来研究与肥胖相关的感知 尤其是接受手术后身体变化的患者

Project Summary Current techniques for measuring the physiological or psychological effects of obesity, and in particular bariatric surgery, either lack sensitivity, are invasive, or require expensive specialized devices. For measuring the physiological effects, BMI is commonly used to diagnose obesity despite the known shortcomings as a marker for metabolic syndrome. Biomarkers such as anthropometric measurements (e.g., waist-to-hip ratio) and visceral adipose tissue (VAT) have been shown to be superior to BMI in predicting health risks associated with obesity, but these measures lack sensitivity, specificity, or are expensive. Another key morbidity associated with obesity is non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH). The gold standard to the diagnosis and assessment of these conditions is histologic evaluation of liver biopsies. Fibroscan transient elastography is a noninvasive test which can also assess fibrosis, but high BMI and severe steatosis can decrease its accuracy. These approaches are either invasive, expensive, or relatively inaccurate. Measures of self-body perception are commonly used to assess psychological aspects of obesity, as body image is an important motivator for diet, physical activity, and weight loss intention. Body image perception is commonly assessed using self-reports and cartoon-like line drawings which are non-subject specific and insensitive. Based on our preliminary work (R21HL124443) that developed optical body scanning technology to capture 3D body shapes using inexpensive hardware, we propose to use the technology to study the physiological and psychological effects on subjects with severe obesity: · Develop prediction algorithm for hepatic steatosis, fibrosis, adiposity, and blood biomarkers using optical scans. The optical scan and biopsy data will be used as the training and validation set to develop a machine learning algorithm to cheaply and non-invasively predict the biomarkers from 3D body surface data. · Develop the use of optical scans for measuring the physiological effects of obesity. We will conduct a cross sectional and longitudinal study to further assess the use of optical surface scans to determine health indicators associated with obesity (using data from surface scan, DXA and serum biomarkers) for one year following surgery. We will establish a database of such data along with software for data mining the database. · Develop the use of optical scans for measuring the psychological effects of obesity. We will collect 3D surface geometry of each subject using optical scans and morph these to produce subject-specific images of larger or smaller body shape. We will use these images to study perception related to obesity and in particular patients undergoing post-operative body changes