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.

项目摘要 候选人：艾米伦茨博士是犹他州大学骨科的一名研究人员。她有一个 突出的生物力学背景，重点是合并实验和建模方法，利用 工程力学博士学位她的主要研究兴趣涉及使用先进的医学成像 技术和计算建模来研究足踝（F&A）矫形生物力学。 职业发展：该奖项将确保伦茨博士完成高级统计学培训 建模（SSM）技术来表征胫距和距下骨患者的形态测量变异性 骨关节炎（OA），并准备发展一个多产的独立研究实验室作为早期职业教师 专注于为终末期踝关节OA患者开发新的定量临床工具。 研究策略：伦茨博士研究终末期OA患者的F&A形态和运动功能 和手术干预后的结果。终末期踝关节OA的临床评价主要来自 从2D常规X光照片中。她提出了一项计算研究，以表征踝关节复杂 通过OA胫距和距下关节的SSM量化3D解剖变异。伦茨医生的 初步数据显示，踝关节OA患者踝关节的形态发生了显著变化 与健康人相比，她的总体目标是开发一个数学模型， 通过机器学习来表征在负重计算机断层扫描（CT）上识别的OA严重程度 扫描。基于模型分类，这项研究最终将指导临床医生使用一致的工具， 解释CT，并提供超出常规X线照片的更多形态测量理解。 导师委员会：伦茨博士已经确定了一个多元化，强大的导师团队。她的主要导师是博士。 犹他州骨科的安德森，他与伦茨医生有4年以上的指导关系， 这一领域的受资助教授她的计算机导师是科学研究所的Elhabian博士。 犹他州的计算和成像研究所，以及两个SSM NIH赠款的现任PI，将为申请提供建议 SSM软件惠特克博士，成像科学家导师，是计算学院的主任，并有一个 美国国立卫生研究院资助和指导科学家的强大历史。Saltzman博士是她的临床外科导师， 犹他州的骨科，并与她合作了4年多，支持她的职业发展。 博士犹他州的米尔斯是她的肌肉骨骼放射学导师，专注于F&A成像。勒杜医生， 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见解。 环境：犹他州大学拥有卓越的研究环境， 计算建模和骨科成功地执行这一多学科的研究。此外，本发明还提供了一种方法， 骨科部门强烈支持候选人，并将提供一切必要的资源， 博士伦茨完成她提出的研究，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.