CT-Based Modeling of Bone Micro-Architecture and Fracture-Risk in COPD

基于 CT 的 COPD 骨微结构和骨折风险建模

基本信息

  • 批准号:
    10397540
  • 负责人:
  • 金额:
    $ 72.95万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-07-01 至 2025-04-30
  • 项目状态:
    未结题

项目摘要

This translational study seeks to establish a Chronic Obstructive Pulmonary Disease (COPD)-specific fracture prediction model using our unique computed tomography (CT)-based assessment of peripheral bone micro- architecture. Osteoporosis, a common comorbidity among patients with COPD, accelerates morbidity and mortality. The basis for this comorbidity is poorly understood, thus the need for characterizing the link between COPD-related factors and bone micro-architecture and their association to fracture-risk. Multiple COPD-related factors are associated with osteoporosis. Different COPD-related causes of bone loss may non-uniformly impact cortical and trabecular bone structures with varying mechanical consequences, reflective of divergent COPD- associated fracture-risk in individuals with similar bone mineral density (BMD). Little is known about this linkage, and our goal is to fill this knowledge gap using a clinically suitable emerging CT-based tool for characterization of bone micro-architecture at peripheral sites. Specifically, this study will—(1) establish the generalizability of our bone micro-architecture assessment applied to emerging low dose / high resolution CT scanners from different vendors; (2) assess its potential as compared to dual energy x-ray absorptiometry (DXA) to explain prevalent fractures and predict incident fractures among patients with COPD; (3) quantify the impact of different COPD- related factors on bone structures and their implications for fracture-risk; (4) identify COPD subtypes with rapid bone structural degeneration; and (5) develop a COPD-specific model for assessment of fracture-risk using patient-specific data. We will take advantage of—(1) existing COPD patient cohorts with lung characterization at the University of Iowa (UI) and Columbia University (CU) representing a wide demographic range; (2) access to emerging CT scanners at both sites; and (3) unique image processing methodologies for quantifying three- dimensional bone structural metrics. We will recruit 470 COPD patients from the UI and CU cohorts and 80 age- sex-similar never-smoker controls. At baseline and 3-year follow-up visits, we will collect—(1) data related to risk factors; (2) a lateral spine CT scout scan to assess vertebral fractures; (3) high resolution CT scans of the ankle and wrist for computation of bone structural metrics; and (4) whole-body, spine and hip DXA. Siemens Force CT scanners will be used for all participants except for 100 randomly-selected patients and controls from the UI cohort who, instead, will be imaged via a Toshiba Aquilion ONE 320 scanner. This study will establish an emerging CT-based scanner-independent generalizable tool to assess bone response to different therapeutic interventions aimed at slowing or reversing bone loss, and possibly restoring bone structure, potentially leading to more patient-specific interventions. Also, this study seeks to explain the relationships among various COPD- related factors, bone structural changes and their implications for fracture-risk. Finally, a COPD-specific model for assessment of fracture-risk will be developed that will utilize patient-specific demographic, clinical and radiographic data, and CT BMD at the spine, as well as bone structural measures at the wrist and/or ankle.
这项转化性研究旨在建立慢性阻塞性肺疾病(COPD)特异性骨折

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Anatomical Labeling of Human Airway Branches using a Novel Two-Step Machine Learning and Hierarchical Features.
使用新颖的两步机器学习和分层特征对人体气道分支进行解剖标记。
Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modeling.
  • DOI:
    10.1002/mp.15629
  • 发表时间:
    2022-06
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Guha, Indranil;Zhang, Xiaoliu;Rajapakse, Chamith S.;Chang, Gregory;Saha, Punam K.
  • 通讯作者:
    Saha, Punam K.
CT-Based Characterization of Transverse and Longitudinal Trabeculae and Its Applications.
基于 CT 的横向和纵向小梁表征及其应用。
LOCALLY ADAPTIVE HALF-MAX METHODS FOR AIRWAY LUMEN-AREA AND WALL-THICKNESS AND THEIR REPEAT CT SCAN REPRODUCIBILITY.
A comparative study of trabecular bone micro-structural measurements using different CT modalities.
  • DOI:
    10.1088/1361-6560/abc367
  • 发表时间:
    2020-11-27
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Guha I;Klintström B;Klintström E;Zhang X;Smedby Ö;Moreno R;Saha PK
  • 通讯作者:
    Saha PK
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PUNAM K. SAHA其他文献

PUNAM K. SAHA的其他文献

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{{ truncateString('PUNAM K. SAHA', 18)}}的其他基金

Tensor Scale-based Methods for Assessment of Trabecular Bone Quality
基于张量尺度的骨小梁质量评估方法
  • 批准号:
    7874476
  • 财政年份:
    2009
  • 资助金额:
    $ 72.95万
  • 项目类别:
Tensor Scale-based Methods for Assessment of Trabecular Bone Quality
基于张量尺度的骨小梁质量评估方法
  • 批准号:
    7659272
  • 财政年份:
    2009
  • 资助金额:
    $ 72.95万
  • 项目类别:
Tensor Scale-based Methods for Assessment of Trabecular Bone Quality
基于张量尺度的骨小梁质量评估方法
  • 批准号:
    8075437
  • 财政年份:
    2009
  • 资助金额:
    $ 72.95万
  • 项目类别:
Tensor Scale-based Methods for Assessment of Trabecular Bone Quality
基于张量尺度的骨小梁质量评估方法
  • 批准号:
    8265330
  • 财政年份:
    2009
  • 资助金额:
    $ 72.95万
  • 项目类别:

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