Demographic Distribution of Hand Joint Space
Demographic Distribution of Hand Joint Space
批准号:
10625656
负责人:
JEFFREY W DURYEA
金额:
$21.78万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-27 至 2024-08-31
关键词:
3-DimensionalAffectAfrican AmericanAfrican American populationAgeAgreementAnatomyArthritisBone SpurCarpometacarpal joint structureCartilageComplexComputer ModelsDataDegenerative polyarthritisDeteriorationDevelopmentEngineeringEvaluationFemaleFinger joint structureFormulationFoundationsFundingFutureGenderGoalsHandHand OsteoarthritisHand functionsHealthImageIndividualJointsKineticsKnowledgeLocationMeasurementMeasuresMechanicsMedical ImagingModelingMonitorMorphologyNationalitiesOutcomePainParticipantPopulationPopulations at RiskProcessQuality of lifeRaceReference ValuesResearchSample SizeScanningScientific EvaluationStatistical ModelsStructureTestingTherapeuticThree-dimensional analysisThumb structureTimeUpper ExtremityValidationVisualizationWidthWomanWorkX-Ray Computed Tomographyaccurate diagnosisbonecareer developmentcohortdemographicsimprovedin vivointerestjoint functionkinematicsknowledge basemalemenmodel developmentnovelparent projectpredictive modelingradiological imagingrecruitresearch clinical testingthree-dimensional modeling
中文摘要
项目总结/摘要
骨关节炎(OA)是关节炎的最常见形式,并且在许多关节中普遍存在,包括
手的关节为了增加对手部OA的了解,有必要
了解这些关节的自然结构。放射照相术通常用于科学领域,
和临床评价,其可以包括关节间隙宽度(JSW)测量,其可以
由于软骨退化而逐渐下降。当考虑到人口统计数据时,这些JSW
鉴于生活条件的多样性,措施可能有所不同。相对
对于手,放射学JSW在手指关节中更容易辨别,而不是
拇指;特别是拇指腕掌关节(CMC),在那里复杂的形态可以
渲染2D可视化具有挑战性。然而,通过计算机断层扫描(CT),关节可以被
在3D和JSW更容易评估。考虑到这些因素,具体
本研究之目的为:(1)建立手指内JSW之年龄分布图
非裔美国人和白人的关节,分别为男性和女性,两个时间点,使用
来自骨关节炎倡议(OAI)的数据;(2)建立参考值和人口统计学
使用CT测量拇指CMC JSW的分布,并评估与2D X线片的关系
JSW测量。Aim 1将利用来自OAI的数据拍摄约3500张手部X线照片。
将在两个时间点评价这些X光片的JSW,并按年龄、种族和
性别.对于目标2,将招募25名男性和25名女性。X光片和CT
将扫描每个参与者的手。将根据CT构建3D模型
图像,从中进行CMC JSW测量和类似的人口统计信息
将被抽中。然后将使用CT测量结果识别放射线照相上的标志
图像进行2D JSW测量。将在以下数据之间进行统计比较:
两次测量结果将用于制定合适的新型关系
用于调整2D测量以与3D测量一致。最终这
工作将导致整个手的JSW的量化。手指的纵向数据
在未来预测模型的开发中,关节将支持父项目的目标
for OA development发展for at risk风险populations人群.为拇指开发的框架可以是
扩展到更大的人群,以开发类似的预测模型。这个项目
支持候选人的职业发展,启动研究,重点是使用
工程过程和医学成像,用于开发计算模型,
可用于评估健康和关节炎关节的力学。
英文摘要
Project Summary/Abstract
Osteoarthritis (OA) is the most common form of arthritis and is prevalent in many joints, including
the joints of the hand. In order to increase the understanding of hand OA, it is necessary to
understand the natural structure of these joints. Radiography is commonly used in the scientific
and clinical evaluation which can include joint space width (JSW) measurement, which can
progressively decline due to cartilage deterioration. When considering demographics, these JSW
measures have the potential to be different, given the diversity of living conditions. With respect
to the hand, radiographic JSW is more easily discernable in the finger joints, as opposed to the
thumb; specifically, the thumb carpometacarpal joint (CMC), where the complex morphology can
render 2D visualization challenging. However, with computed tomography (CT), the joint can be
viewed in 3D and the JSW more readily assessed. With these factors to consider, the specific
aims of this project are: (1) Establish age-specific distribution percentiles for JSW in the finger
joints of African Americans and Whites, separately for men and women, for two time points, using
data from the Osteoarthritis Initiative (OAI); and (2) Establish reference values and demographic
distributions for the thumb CMC JSW using CT and evaluate the relationship with 2D radiographic
JSW measurement. Aim 1 will utilize data from the OAI for approximately 3500 hand radiographs.
These radiographs will be evaluated for JSW at two time points and separated by age, race and
gender. For Aim 2, a cohort of 25 males and 25 females will be recruited. A radiograph and CT
scan of each of the participant hands will be taken. 3D models will be constructed from the CT
images, from which CMC JSW measurements will be made and similar demographic information
will be drawn. The CT measurements will then be used to identify landmarks on the radiographic
images to make the 2D JSW measurement. Statistical comparisons will be drawn between the
two measurements and the results will be used in the formulation of novel relationships suitable
for adjusting the 2D measurements for agreement with the 3D measurements. Ultimately, this
work will result in the quantification of JSW for the entire hand. The longitudinal data for the finger
joints will support the goals of the parent project in the future development of predictive models
for OA development for at-risk populations. The framework developed for the thumb can be
expanded for a larger population for the development of similar predictive models. This project
supports the career development of the candidate by initiating research focused on the use of
engineering processes and medical imaging, for the development of computational models which
can be used to evaluate the mechanics of healthy and arthritic joints.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
An approach to understand osteoarthritis, comorbidity and excess mortality in the population.
一种了解人群中骨关节炎、合并症和超额死亡率的方法。
DOI:
10.1093/rheumatology/kead172
发表时间:
2023
期刊:
Rheumatology (Oxford, England)
影响因子:
--
作者:
[Nelson,AmandaE, Golightly,YvonneM]
通讯作者:
Golightly,YvonneM
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依托单位:
海外基金