Surgical Simulations to Optimize the Treatment of Wrist Osteoarthritis

优化腕骨关节炎治疗的手术模拟

基本信息

  • 批准号:
    8254223
  • 负责人:
  • 金额:
    $ 3.42万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-03-01 至 2015-02-28
  • 项目状态:
    已结题

项目摘要

Wrist osteoarthritis is a degenerative disease that causes severe pain. This pain limits functional abilities and frequently causes the inability to work. One of the most reliable methods to reduce pain is surgery. However, current surgical treatments permanently decrease wrist range of motion and grip strength. This loss of grip strength is particularly detrimental because it limits patient's abilities to perform activities ofdaily living, including picking up a saucepan and opening a door. The objective of this proposal is to identify the biomechanical factors that limit grip strength following two procedures to treat osteoarthritis: proximal row carpectomy (PRC) and scaphoid-excision four-corner fusion (SE4CF). PRC and SE4CF are of particular interest because there is no consensus regarding which is better at preserving grip strength, even though there are a large number of retrospective studies comparing these procedures. Additionally, PRC and SE4CF change the biomechanical design of the wrist in different ways, suggesting that different factors limit grip strength following each procedure. In the proposed study, post-operative muscle moment-generating (Aim 1) and force-generating parameters (Aim 2) will be measured and evaluated in the context of post-operative impairments in strength (Aim 3). In Aim 1, a cadaveric experiment will be conducted to measure the muscle moment arms of the primary wrist and extrinsic thumb muscles following simulated PRC and SE4CF. In Aim 2, post-operative muscle fiber length of the primary wrist muscles will be measured in vivo using ultrasound. In Am 3, post-operative wrist and hand strength will be measured in vivo, and these data will be used in musculoskeletal computer models to evaluate how changes in moment arm and fiber length influence wrist, pinch, and grip strength. Completion of this work will improve the scientific understanding of how the design of the wrist influences the forces produced by the hand, and thereby affects hand function. Ultimately, clinicians will be able to use knowledge gained from this study to develop rehabilitation protocols and surgical techniques to overcome post-operative impairments, thereby improving patient outcomes and quality of life. Through this research, the applicant will gain experience in performing experiments involving both cadavers and human subjects as well as using computer modeling to enhance the interpretation of experimental results. The applicant will receive additional training on teaching effectively, collaborating on interdisciplinary teams, and presenting to both scientific and clinical audiences. These experiences will teach the applicant technical and professional skills that are essential for a lifelong research career.
手腕骨关节炎是一种退行性疾病,导致严重的疼痛。这种疼痛限制了功能能力,并经常导致无法工作。减轻疼痛最可靠的方法之一是手术。然而,目前的手术治疗永久性地降低了手腕的运动范围和握力。这种握力的丧失是特别有害的,因为它限制了患者进行日常生活活动的能力,包括拿起平底锅和开门。本提案的目的是确定两种治疗骨关节炎的手术后限制握力的生物力学因素:近排腕骨切除术(PRC)和舟骨切除四角融合术(SE4CF)。PRC和SE4CF特别令人感兴趣,因为尽管有大量的回顾性研究比较了这些手术,但对于哪种手术更好地保持握力还没有达成共识。此外,PRC和SE4CF以不同的方式改变了手腕的生物力学设计,这表明不同的因素限制了每次手术后的握力。在拟定研究中,将在术后力量损伤(目标3)的背景下测量和评价术后肌肉力矩生成(目标1)和力生成参数(目标2)。在目标1中,将进行尸体实验,以测量模拟PRC和SE4CF后主要腕部和拇指外部肌肉的肌力臂。在目标2中,将使用超声在体内测量主要腕部肌肉的术后肌纤维长度。在Am 3中,将在体内测量术后手腕和手部力量,这些数据将用于肌肉骨骼计算机模型,以评估力臂和纤维长度的变化如何影响手腕、捏和握力。这项工作的完成将提高对手腕设计如何影响手部产生的力的科学理解,从而影响手部功能。最终,临床医生将能够利用从这项研究中获得的知识来制定康复方案和手术技术,以克服术后损伤,从而改善患者的预后和生活质量。 通过这项研究,申请人将获得执行涉及尸体和人类受试者的实验以及使用计算机建模来增强实验结果解释的经验。申请人将接受有关有效教学,跨学科团队合作以及向科学和临床观众展示的额外培训。这些经验将教申请人的技术和专业技能是终身研究生涯所必需的。

项目成果

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Jennifer A. Nichols其他文献

Generational Leaps in Syndesmosis Imaging Research.
韧带联合成像研究的代际飞跃。
  • DOI:
    10.1177/10711007241251829
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Christopher W. Reb;Jennifer A. Nichols
  • 通讯作者:
    Jennifer A. Nichols
Explainable AI Elucidates Musculoskeletal Biomechanics: A Case Study Using Wrist Surgeries
可解释的人工智能阐明肌肉骨骼生物力学:使用手腕手术的案例研究
  • DOI:
    10.1007/s10439-023-03394-9
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Isaly Tappan;Erica M. Lindbeck;Jennifer A. Nichols;J. B. Harley
  • 通讯作者:
    J. B. Harley
Associations Between Muscle Quality and Knee Osteoarthritis Pain are Independent of Muscle Strength
肌肉质量与膝骨关节炎疼痛之间的关联与肌肉力量无关
  • DOI:
    10.1016/j.jpain.2024.01.193
  • 发表时间:
    2024-04-01
  • 期刊:
  • 影响因子:
    4.000
  • 作者:
    Alisa J. Johnson;Sarah M. Barron;Jennifer A. Nichols;Yenisel Cruz-Almeida
  • 通讯作者:
    Yenisel Cruz-Almeida
Intraoperative Assessment of Reduction of the Ankle Syndesmosis
踝关节联合复位术的术中评估
  • DOI:
    10.1007/s12178-022-09769-0
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Kevin A. Hao;Robert A. Vander Griend;Jennifer A. Nichols;Christopher W. Reb
  • 通讯作者:
    Christopher W. Reb
Comparison of mouse and rat respiratory parameters using the whole body plethysmography system and reference compounds
  • DOI:
    10.1016/j.vascn.2010.11.051
  • 发表时间:
    2010-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Jennifer A. Nichols
  • 通讯作者:
    Jennifer A. Nichols

Jennifer A. Nichols的其他文献

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{{ truncateString('Jennifer A. Nichols', 18)}}的其他基金

Carpometacarpal Osteoarthritis: Understanding the Intersection of Muscle Mechanics, Joint Instability, and Pain
腕掌骨关节炎:了解肌肉力学、关节不稳定和疼痛的交叉点
  • 批准号:
    10444241
  • 财政年份:
    2022
  • 资助金额:
    $ 3.42万
  • 项目类别:
Carpometacarpal Osteoarthritis: Understanding the Intersection of Muscle Mechanics, Joint Instability, and Pain
腕掌骨关节炎:了解肌肉力学、关节不稳定和疼痛的交叉点
  • 批准号:
    10597142
  • 财政年份:
    2022
  • 资助金额:
    $ 3.42万
  • 项目类别:
A Transfer Learning Framework for Creating Subject-Specific Musculoskeletal Models of the Hand
用于创建特定于主题的手部肌肉骨骼模型的迁移学习框架
  • 批准号:
    10040078
  • 财政年份:
    2020
  • 资助金额:
    $ 3.42万
  • 项目类别:
Surgical Simulations to Optimize the Treatment of Wrist Osteoarthritis
优化腕骨关节炎治疗的手术模拟
  • 批准号:
    8387091
  • 财政年份:
    2012
  • 资助金额:
    $ 3.42万
  • 项目类别:

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