Classification of Ankle Osteoarthritis Severity from Weightbearing Computed Tomography Using Statistical Shape Modeling and Machine Learning

使用统计形状建模和机器学习根据负重计算机断层扫描对踝骨关节炎严重程度进行分类

• 批准号: 10669281
• 负责人: Amy Lenz
• 金额: $ 13.47万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10669281
• 关键词: 3-Dimensional; Age; Anatomy; Ankle; Articulation; Award; Biomechanics; Board Certification; Bone Spur; Bone remodeling; Career Mobility; Classification; Clinical; Cluster Analysis; Collaborations; Complex; Computer Models; Computer software; Data; Databases; Deformity; Degenerative polyarthritis; Diagnosis; Discrimination; Disease; Doctor of Philosophy; Engineering; Ensure; Environment; Evaluation; Faculty; Funding; Future; Goals; Grant; Growth; Health; Hip Osteoarthritis; Hip region structure; Image; Imaging Techniques; Individual; Injury; Interdisciplinary Study; Joints; Knee; Knee Osteoarthritis; Laboratory Research; Lead; Machine Learning; Magnetic Resonance Imaging; Maps; Mathematics; Measurement; Measures; Mechanics; Medical Imaging; Mentors; Mentorship; Methods; Modeling; Morphology; Musculoskeletal; Operative Surgical Procedures; Orthopedics; Outcome; Pain; Pathology; Patients; Physical Function; Population; Posture; Procedures; Public Health; Randomized; Recording of previous events; Reporting; Research; Resources; Scanning; Schools; Scientist; Severities; Sex Differences; Shapes; Standardization; Subtalar joint structure; Surface; Surgeon; Talus; Techniques; Training; United States National Institutes of Health; Universities; Unnecessary Surgery; Utah; Variant; Weight-Bearing state; X-Ray Computed Tomography; ankle joint; bone; bone reconstruction; calcaneum; career development; clinically relevant; computer studies; demographics; early-career faculty; foot; human old age (65+); imaging scientist; improved; individual patient; insight; interest; joint destruction; joint stiffness; kinematics; machine learning classification; mathematical model; novel; pain score; predictive modeling; professor; radiological imaging; radiologist; reconstruction; recruit; research clinical testing; scientific computing; shape analysis; sound; tibia; tool; treatment planning

PROJECT SUMMARY Candidate: Dr. Amy Lenz is a research track faculty in Orthopaedics at the University of Utah. She has an outstanding biomechanics background with a focus on merging experimental and modeling methods utilizing her PhD in Engineering Mechanics. Her primary research interests involve using advanced medical imaging techniques and computational modeling to study foot and ankle (F&A) orthopaedic biomechanics. Career Development: This award will ensure Dr. Lenz finalizes training in advanced statistical shape modeling (SSM) techniques to characterize morphometric variability in patients with tibiotalar and subtalar osteoarthritis (OA) and is poised to grow a prolific independent research laboratory as an early career faculty focused on developing new quantitative clinical tools for patients suffering from end-stage ankle OA. Research Strategy: Dr. Lenz studies F&A morphology and kinematic function in patients with end-stage OA and outcomes following surgical intervention. Clinical evaluation of end-stage ankle OA is primarily derived from 2D conventional radiographs. She proposes a computational study to characterize ankle joint complex disease by quantifying 3D anatomical variation through SSM of OA tibiotalar and subtalar joints. Dr. Lenz’s preliminary data show that patients with ankle OA present with significant changes in morphology of the ankle joint complex compared with healthy individuals. Her overall goal is to develop a mathematical model powered by machine learning to characterize severity of OA identified on weightbearing computed tomography (CT) scans. Based on the model classification, this research will ultimately guide clinicians with a consistent tool for interpreting CTs and provide an increased morphometric understanding beyond conventional radiographs. Mentor Committee: Dr. Lenz has identified a diverse, strong mentoring team. Her primary mentor is Dr. Anderson in Orthopaedics at Utah, who has a 4+ year mentoring relationship with Dr. Lenz and is a well- funded established professor in the field. Her computational mentor is Dr. Elhabian from the Scientific Computing and Imaging Institute at Utah, and a current PI on two SSM NIH grants, will advise the application of SSM software. Dr. Whitaker, imaging scientist mentor, is the director of the School of Computing and has a strong history of NIH funding and mentorship of scientists. Dr. Saltzman is her clinical surgical mentor in Orthopaedics at Utah and has collaborated with her for the last 4+ years, supporting her career advancement. Dr. Mills at Utah is her musculoskeletal radiologist mentor and has a focus in F&A imaging. Dr. Ledoux, from the VA Puget Sound, is an external mentor to provide expert insights as a leader in F&A biomechanics. Environment: The University of Utah boasts an exceptional research environment with leaders in computational modeling and orthopaedics to successfully execute this multidisciplinary research. In addition, the Department of Orthopaedics strongly supports the candidate and will provide all resources necessary for Dr. Lenz to complete her proposed research and facilitate the growth of her independent research lab.

项目总结 候选人：艾米·伦茨博士是犹他大学整形外科的研究跟踪教员。她有一个 突出的生物力学背景，专注于将实验和建模方法相结合 她的工程力学博士学位。她的主要研究兴趣是使用先进的医学成像技术 足踝(F&A)骨科生物力学研究的技术和计算模型。 职业发展：这个奖项将确保Lenz博士完成高级统计形式的培训 模拟(SSM)技术表征胫距和距下骨患者的形态变异性 骨关节炎(OA)，并准备发展一个多产的独立研究实验室作为职业生涯的早期教员 专注于为终末期踝关节骨性关节炎患者开发新的量化临床工具。 研究策略：Lenz博士研究了终末期骨性关节炎患者的F&A形态和运动功能 以及手术干预后的结果。初步得出终末期踝关节骨性关节炎的临床评价 从2D常规射线照片中提取。她提出了一项计算研究，以描述踝关节复合体的特征 通过对骨性关节炎、胫距关节和距下关节的SSM量化3D解剖变异。伦茨医生的 初步数据显示，踝关节骨性关节炎患者的踝关节形态有显著变化。 关节复合体与健康人比较。她的总体目标是开发一种数学模型 通过机器学习来表征负重计算机断层扫描(CT)上确定的OA的严重程度 扫描。在模型分类的基础上，本研究将最终指导临床医生使用一致的工具 解释CT，并提供比传统X线片更多的形态测量了解。 指导委员会：伦茨博士已经确定了一个多元化、强大的指导团队。她的主要导师是Dr。 安德森是犹他州骨科的安德森，他与伦茨博士有4年多的指导关系，是一位 资助该领域的资深教授。她的计算导师是《科学》杂志的Elhabian博士 犹他州计算和成像研究所，以及目前两个SSM NIH赠款的PI将为该应用程序提供建议 SSM软件。惠特克博士是成像科学家的导师，是计算学院的主任，他拥有 在国家卫生研究院的资助和科学家指导方面有着深厚的历史。Saltzman医生是她的临床外科导师 在过去的4年多时间里，她一直与她合作，支持她的事业发展。 犹他州的米尔斯博士是她的肌肉骨骼放射科医生导师，专注于F&A成像。勒杜博士，来自 VA Puget Sound是一个外部导师，作为F&A生物力学的领导者，提供专家的见解。 环境：犹他大学拥有卓越的研究环境，拥有领先的研究团队 计算建模和整形外科成功地执行这项多学科研究。此外, 骨科大力支持候选人，并将提供一切必要的资源 伦茨博士将完成她提议的研究，并促进她的独立研究实验室的发展。

项目成果

Joint coverage analysis in progressive collapsing foot deformity.

• DOI: 10.1002/jor.25543
• 发表时间: 2023-09
• 期刊: JOURNAL OF ORTHOPAEDIC RESEARCH
• 影响因子: 2.8
• 作者: Knutson, Kassidy;Peterson, Andrew C.;Lisonbee, Rich J.;Hintermann, Beat;Krahenbuhl, Nicola;Lenz, Amy L.
• 通讯作者: Lenz, Amy L.

Mechanics and energetics of human feet: a contemporary perspective for understanding mobility impairments in older adults.

人足的力学和能量学：了解老年人行动障碍的当代视角。

• DOI: 10.3390/biomechanics2040038
• 发表时间: 2022
• 期刊: Biomechanics (Basel, Switzerland)
• 作者: Takahashi,KotaZ;Krupenevich,RebeccaL;Lenz,AmyL;Kelly,LukeA;Rainbow,MichaelJ;Franz,JasonR
• 通讯作者: Franz,JasonR

Automatic anatomical foot and ankle coordinate toolbox.

• DOI: 10.3389/fbioe.2023.1255464
• 发表时间: 2023
• 期刊: FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
• 影响因子: 5.7
• 作者: Peterson, Andrew C.;Kruger, Karen M.;Lenz, Amy L.
• 通讯作者: Lenz, Amy L.

Biomechanical Insights Afforded by Shape Modeling in the Foot and Ankle.

• DOI: 10.1016/j.fcl.2022.11.001
• 发表时间: 2023-03
• 期刊: FOOT AND ANKLE CLINICS
• 影响因子: 1.5
• 作者: Lenz, Amy L.;Lisonbee, Rich J.
• 通讯作者: Lisonbee, Rich J.