Rapid MRI Measures of Absolute Fat Mass in Adipose Tissue and Organs

脂肪组织和器官中绝对脂肪量的快速 MRI 测量

基本信息

  • 批准号:
    7590632
  • 负责人:
  • 金额:
    $ 20.38万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-02-01 至 2010-12-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Obesity is a growing epidemic in the United States, affecting multiple health outcomes in children, adolescents, and adults. Increasing data suggest that the link between obesity and poor health outcome is related to buildup of fat in specific areas (e.g. visceral fat inside the abdominal cavity) and/or infiltration of fat into the liver, pancreas, and other organs. Quantification of visceral fat and organ fat in vivo is generally performed by magnetic resonance imaging (MRI). MRI is well suited for this purpose because it is inherently three-dimensional, provides a sensitive mechanism for separating water and fat, and involves no ionizing radiation, leading to indefinite repeatability with ultra-low risk. Although MRI is becoming more frequently used in obesity research, its ability to directly quantify fat mass has not yet been developed and validated. Current measurements are either relative (e.g. fat signal fraction) or indirect (e.g. adipose tissue volume). Moreover, current MRI protocols are limited by the high-cost of magnet time, and the long and/or multiple breath-holds that are uncomfortable and reduce accuracy. The objective of this proposal is to overcome these limitations and develop and fully validate a novel MRI-based method for the rapid quantification of fat mass throughout the abdomen. Specifically, we will (1) develop signal calibration procedures that allow for the quantification of fat mass on a voxel-by-voxel basis, and (2) evaluate the accuracy of this quantification in swine, by comparing measurements of fat mass in adipose tissue, whole organs, and muscle, with post-mortem chemical analysis (the current gold standard). The SIGNIFICANCE of this proposal lies in the development of a new, promising, and potentially cost-effective tool for assessing fat mass and organ fat infiltration. The APPROACH utilizes recent advances in rapid MRI fat-water separation, calibration scans, and rigorous validation in an animal model. The INNOVATION lies in the application of novel signal models and calibration schemes for quantifying fat mass from signal intensity. The INVESTIGATORS include two MR physicists with expertise in the development of rapid MRI techniques for cardiovascular disease assessment and an established obesity researcher with expertise in the validation of body composition techniques. The ENVIRONMENT at USC provides generous access to research- dedicated imaging facilities, animal research support, and infrastructure for this translational research. PUBLIC HEALTH RELEVANCE: Abdominal obesity is a growing problem among Americans, and is linked with increased risks of fatty liver disease, heart disease, and type-2 diabetes, among other things. This proposal will develop a new non-invasive test based on magnetic resonance imaging that determines the mass and location of fat within the abdomen, including critical organs, and may potentially be a useful tool in obesity research.
描述(由申请人提供):肥胖是美国越来越多的流行病,影响了儿童,青少年和成人的多种健康状况。越来越多的数据表明,肥胖与健康结果不良之间的联系与特定区域的脂肪堆积有关(例如腹腔内的内脏脂肪)和/或脂肪浸润到肝脏,胰腺和其他器官中。磁共振成像(MRI)通常进行内脏脂肪和器官脂肪的定量。 MRI非常适合此目的,因为它本质上是三维,提供了一种分离水和脂肪的敏感机制,并且不涉及电离辐射,从而导致无限期的可重复性和超低风险。尽管MRI在肥胖研究中越来越频繁地使用,但其直接量化脂肪质量的能力尚未得到开发和验证。当前的测量是相对(例如脂肪信号分数)或间接测量(例如脂肪组织体积)。此外,当前的MRI协议受磁铁时间高成本的限制,以及不舒服并降低准确性的长和/或多种呼吸。该提案的目的是克服这些局限性,并完全验证一种基于MRI的新方法,用于在整个腹部快速量化脂肪质量。具体而言,我们将(1)制定信号校准程序,以通过比较脂肪组织,全器官,全器官和肌肉的脂肪质量的测量,与当前的金属化学分析(当前的金标准)进行比较,可以通过比较脂肪组织,全器官和肌肉中的脂肪质量来评估猪中这种量化的准确性,并评估猪在猪中的准确性(2)。该提案的重要性在于开发一种新的,有希望的且潜在的具有成本效益的工具,用于评估脂肪质量和器官脂肪的浸润。该方法利用了动物模型中快速MRI脂肪 - 脂肪分离,校准扫描和严格验证的最新进展。创新在于新型信号模型和校准方案的应用,以量化信号强度的脂肪质量。研究人员包括两名具有专业知识的MR物理学家,以开发用于心血管疾病评估的快速MRI技术,以及一名既定的肥胖研究人员,具有验证身体组成技术的专业知识。 USC的环境为这项翻译研究提供了慷慨的研究专用成像设施,动物研究支持和基础设施。公共卫生相关性:腹部肥胖是美国人日益严重的问题,与脂肪肝病,心脏病和2型糖尿病的风险增加有关。该提案将基于磁共振成像制定新的非侵入性测试,该测试决定了腹部内脂肪的质量和位置,包括临界器官,并且有可能是肥胖研究中的有用工具。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

Krishna S Nayak其他文献

1125 Spiral first-pass myocardial perfusion imaging at 3 Tesla: feasibility study
  • DOI:
    10.1186/1532-429x-10-s1-a250
    10.1186/1532-429x-10-s1-a250
  • 发表时间:
    2008-10-22
    2008-10-22
  • 期刊:
  • 影响因子:
  • 作者:
    Taehoon Shin;Kyunghyun Sung;Gerald M Pohost;Krishna S Nayak
    Taehoon Shin;Kyunghyun Sung;Gerald M Pohost;Krishna S Nayak
  • 通讯作者:
    Krishna S Nayak
    Krishna S Nayak
50 Myocardial signal behaviors of balanced SSFP imaging at 3 T
  • DOI:
    10.1186/1532-429x-10-s1-a51
    10.1186/1532-429x-10-s1-a51
  • 发表时间:
    2008-10-22
    2008-10-22
  • 期刊:
  • 影响因子:
  • 作者:
    Kyunghyun Sung;Krishna S Nayak
    Kyunghyun Sung;Krishna S Nayak
  • 通讯作者:
    Krishna S Nayak
    Krishna S Nayak
2004 3D first-pass myocardial perfusion imaging with complete left ventricular coverage at 3 Tesla
  • DOI:
    10.1186/1532-429x-10-s1-a273
    10.1186/1532-429x-10-s1-a273
  • 发表时间:
    2008-10-22
    2008-10-22
  • 期刊:
  • 影响因子:
  • 作者:
    Taehoon Shin;Houchun H Hu;Samuel S Valencerina;Luis Martinez;Gerald M Pohost;Krishna S Nayak
    Taehoon Shin;Houchun H Hu;Samuel S Valencerina;Luis Martinez;Gerald M Pohost;Krishna S Nayak
  • 通讯作者:
    Krishna S Nayak
    Krishna S Nayak
2135 Rapid 3D vessel wall imaging at 3 T: optimization and evaluation of diffusion preparation
  • DOI:
    10.1186/1532-429x-10-s1-a404
    10.1186/1532-429x-10-s1-a404
  • 发表时间:
    2008-10-22
    2008-10-22
  • 期刊:
  • 影响因子:
  • 作者:
    Mahender K Makhijani;Gerald M Pohost;Krishna S Nayak
    Mahender K Makhijani;Gerald M Pohost;Krishna S Nayak
  • 通讯作者:
    Krishna S Nayak
    Krishna S Nayak
Demonstration of velocity selective myocardial arterial spin labeling perfusion CMR
  • DOI:
    10.1186/1532-429x-18-s1-p98
    10.1186/1532-429x-18-s1-p98
  • 发表时间:
    2016-01-27
    2016-01-27
  • 期刊:
  • 影响因子:
  • 作者:
    Terrence R Jao;Krishna S Nayak
    Terrence R Jao;Krishna S Nayak
  • 通讯作者:
    Krishna S Nayak
    Krishna S Nayak
共 14 条
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前往

Krishna S Nayak的其他基金

Improved Myocardial Perfusion Assessment using High-Performance Low-Field MRI
使用高性能低场 MRI 改进心肌灌注评估
  • 批准号:
    10626902
    10626902
  • 财政年份:
    2022
  • 资助金额:
    $ 20.38万
    $ 20.38万
  • 项目类别:
Improved Myocardial Perfusion Assessment using High-Performance Low-Field MRI
使用高性能低场 MRI 改进心肌灌注评估
  • 批准号:
    10453361
    10453361
  • 财政年份:
    2022
  • 资助金额:
    $ 20.38万
    $ 20.38万
  • 项目类别:
Area B: Precise DCE-MRI Assessment of Brain Tumors
B 区:脑肿瘤的精确 DCE-MRI 评估
  • 批准号:
    9483217
    9483217
  • 财政年份:
    2017
  • 资助金额:
    $ 20.38万
    $ 20.38万
  • 项目类别:
Novel Myocardial Perfusion Stress Test using Arterial Spin Labeling
使用动脉旋转标记的新型心肌灌注压力测试
  • 批准号:
    9751363
    9751363
  • 财政年份:
    2016
  • 资助金额:
    $ 20.38万
    $ 20.38万
  • 项目类别:
Novel Myocardial Perfusion Stress Test using Arterial Spin Labeling
使用动脉旋转标记的新型心肌灌注压力测试
  • 批准号:
    9124428
    9124428
  • 财政年份:
    2016
  • 资助金额:
    $ 20.38万
    $ 20.38万
  • 项目类别:
Rapid MRI Measures of Absolute Fat Mass in Adipose Tissue and Organs
脂肪组织和器官中绝对脂肪量的快速 MRI 测量
  • 批准号:
    7762176
    7762176
  • 财政年份:
    2009
  • 资助金额:
    $ 20.38万
    $ 20.38万
  • 项目类别:
Superior Cardiac MRI using Wideband SSFP at 3 Tesla
使用 3 特斯拉宽带 SSFP 进行卓越的心脏 MRI
  • 批准号:
    7345642
    7345642
  • 财政年份:
    2006
  • 资助金额:
    $ 20.38万
    $ 20.38万
  • 项目类别:
Superior Cardiac MRI using Wideband SSFP at 3 Tesla
使用 3 特斯拉宽带 SSFP 进行卓越的心脏 MRI
  • 批准号:
    7016566
    7016566
  • 财政年份:
    2006
  • 资助金额:
    $ 20.38万
    $ 20.38万
  • 项目类别:

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肿瘤微环境的代谢重编程和治疗抵抗
  • 批准号:
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