Assessing scaphotrapeziotrapezoid arthrokinematics using 4DCT

使用 4DCT 评估舟骨梯形关节运动学

• 批准号: 10604483
• 负责人: Taylor Patricia Trentadue
• 金额: $ 4.79万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10604483
• 关键词: 3-Dimensional; Adult; Affect; Age; Age Years; Anatomy; Articulation; Artificial Intelligence; Attention; Bilateral; Biological Markers; Biomechanics; Communication; Complex; Coupling; Data; Degenerative polyarthritis; Diagnosis; Diagnostic; Diagnostic Imaging; Distal; Elderly; Facet joint structure; Female; Foundations; Four-dimensional; Geometry; Hand; Hand Osteoarthritis; High Prevalence; Image; Imaging technology; Impairment; Incidence; Intervention; Joints; Lifting; Machine Learning; Measurement; Measures; Mechanics; Methods; Modeling; Morphology; Motion; Operative Surgical Procedures; Pain; Participant; Pathogenesis; Pathologic; Patients; Pattern; Positioning Attribute; Prevalence; Protocols documentation; Proxy; Quality of life; Radial; Resistance; Resolution; Role; Scaphoid bone; Series; Shapes; Side; Site; Stress; Structure; Structure-Activity Relationship; Surface; Techniques; Technology; Therapeutic; Thumb structure; Time; Translations; Trapezoid bone structure; Variant; Visualization; Work; Wrist; Wrist joint; X-Ray Computed Tomography; base; biomedical imaging; bone; carpus bone; clinical translation; combinatorial; diagnosis standard; diagnostic strategy; evidence base; four-dimensional computed tomography; hand dysfunction; improved; innovation; joint stress; lifetime risk; novel; photon-counting detector; pre-clinical; pressure; radiological imaging; sex; synergism; temporal measurement; tool; transmission process; trapezium; treatment strategy; two-dimensional; wrist motion

PROJECT SUMMARY / ABSTRACT Wrist osteoarthritis (OA) is a prevalent, debilitating condition; however, limited attention has focused on the scaphotrapeziotrapezoid (STT) joint. The STT is positioned on the radial side of the wrist, spanning both rows of carpal bones and bridging the thumb and wrist joints. STT OA impacts between 15% and 24% of adults over 45 years of age, with increased prevalence and incidence given advancing age and female sex. However, compared to hand joints, the STT has received limited diagnostic and therapeutic attention. The wrist is anatomically complex: the number, unique geometries, small size, and close proximities of carpal bones pose challenges for diagnostic imaging and guiding evidence-based surgical interventions. Due to intricate carpal interrelationships, a strong biomechanical foundation of normal STT function during motion and under loading is critical for tailoring interventions that remedy symptomatic STT OA without compromising the remainder of the carpus or thumb. Thus, there is a need to understand the complex interplay between carpal bones during motion in unaffected participants. Specifically, there is a need to measure bone motion dynamically to understand the relationships between carpal bones during various motions of the wrist and hand under different loading conditions. 4DCT (3DCT over time) yields a time series of image volumes captured during motion with high spatial and temporal resolution, offering the exciting capability to capture bones dynamically. Interosseous proximity distributions, a proxy for pressure, and centers of closest proximity will be used to describe the joint relationships as a function of motion and loading, conferring an in-depth understanding of the STT joint in both unaffected and pathological states. Further, the magnitude and variability of joint space and shape at each STT articulation have not been rigorously quantified. Statistical shape modeling (SSM) and machine learning of STT carpal bones collected from unaffected and pathological STT joints will allow us to elucidate the interactions between interacting geometries of articulating surfaces during motion and bone morphology. Our study aims to understand STT arthrokinematics in normal and pathological conditions in the following aims. Aim 1: Quantify STT arthrokinematics during unresisted and resisted wrist and thumb motions, separately, in participants without wrist OA and quantify normal variations in STT morphology. Aim 2: Quantify STT arthrokinematics during unresisted versus resisted activities in patients with early-stage STT OA using 4DCT and compare 3D morphologies of unaffected and pathologic STT joints. 4DCT data elucidate motions and loads that stress the joint, while morphologic data indicate sites of structural change. A parallel analysis will allow us to define structure-function interactions at the STT joint. The Aims will culminate in a comprehensive view of how STT loading impacts arthrokinematics in participants with and without OA. An integrative understanding of morphology and the role of load in provocative maneuvers will enhance our understanding of this complex joint, promoting biomechanically motivated diagnostic and treatment strategies.

项目摘要 /摘要 腕骨关节炎（OA）是一种普遍的，令人衰弱的疾病。但是，有限的关注集中在 Scaphotrapeziotrapezoid（STT）关节。 STT位于腕部的径向侧，跨越两行 腕骨，桥接拇指和腕关节。 STT OA影响15％至24％的成年人 45岁，鉴于年龄和女性的发展，患病率和发病率增加。然而， 与手关节相比，STT受到了有限的诊断和治疗关注。手腕是 解剖学上复杂：数量，独特的几何形状，小尺寸和腕骨姿势的近距离 诊断成像和指导基于证据的手术干预措施的挑战。由于复杂的腕 相互关系，在运动过程和负载下正常STT功能的强大生物力学基础 对于调整干预措施至关重要 腕或拇指。因此，有必要了解腕骨之间的复杂相互作用 不受影响的参与者运动。具体而言，需要动态测量骨运动 了解手腕各种运动中腕骨之间的关系 不同的加载条件。 4DCT（随着时间的推移3DCT）产生时间序列的图像量 具有高空间和时间分辨率的运动，提供了令人兴奋的动态捕获骨骼的能力。 骨间接近分布，压力的代理和最接近的中心将用于 将联合关系描述为运动和负载的函数，对 不受影响和病理状态的Stt关节。此外，关节空间的大小和变异性和 每个STT关节的形状尚未严格量化。统计形状建模（SSM）和 从未受到影响和病理性STT关节收集的STT腕骨的机器学习将使我们能够 阐明运动过程中表达表面的几何形状与骨骼的相互作用之间的相互作用 形态学。我们的研究旨在了解正常和病理条件下的Stt关节化学 以下目标。 AIM 1：在未抗拒和抵抗的手腕和拇指运动过程中量化STT关节化学 另外，在没有手腕OA的参与者中，并量化了STT形态的正常变化。目标2：量化 在未抑制和抵抗早期STT OA患者中使用的STT关节化学 4DCT并比较了未受影响和病理性STT关节的3D形态。 4DCT数据阐明运动 并负载压力关节，而形态学数据表示结构变化的位点。平行分析 将使我们能够在STT关节定义结构功能相互作用。目标将在 全面看出STT加载如何影响有或没有OA的参与者的关节化学。一个 对形态学的一体理解和负载在挑衅性演习中的作用将增强我们的 了解这一复杂的关节，促进生物力学动机的诊断和治疗策略。