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.

项目概要 候选人：Amy Lenz 博士是犹他大学骨科研究方向的教师。 杰出的生物力学背景，重点是利用实验和建模方法相结合 她的工程力学博士学位，主要研究兴趣涉及使用先进的医学成像。 研究足部和踝关节 (F&A) 骨科生物力学的技术和计算模型。 职业发展：该奖项将确保 Lenz 博士完成高级统计形状的培训 建模（SSM）技术来表征胫距和距下患者的形态变异性 骨关节炎（OA），并准备发展一个多产的独立研究实验室作为早期职业教师 专注于为患有终末期踝关节骨关节炎的患者开发新的定量临床工具。 研究策略：Lenz 博士研究终末期 OA 患者的 F&A 形态和运动功能 主要得出末期踝关节 OA 的临床评估和结果。 她提出了一项计算研究来表征踝关节复合体。 Lenz 博士通过 OA 胫距和距下关节的 SSM 量化 3D 解剖变异来诊断疾病。 初步数据显示，踝关节骨关节炎患者的踝关节形态发生明显变化 她的总体目标是开发一个由数学模型驱动的关节复合体与健康个体的比较。 通过机器学习来表征负重计算机断层扫描 (CT) 上确定的 OA 严重程度 基于模型分类，这项研究最终将用一致的工具来指导先验。 解释 CT 并提供超越传统 X 线照片的更多形态测量理解。 导师委员会：Lenz 博士确定了一支多元化、强大的导师团队，她的主要导师是 Dr. Lenz。 犹他州骨科的 Anderson 与 Lenz 医生有 4 年多的指导关系，并且是一名出色的 她的计算导师是来自科学学院的 Elhabian 博士。 犹他州计算与成像研究所以及两项 SSM NIH 拨款的现任 PI 将为申请提供建议 SSM 软件的 Whitaker 博士是成像科学家导师，是计算机学院的院长，拥有 Saltzman 博士是她在 NIH 资助和科学家指导方面的悠久历史。 犹他州骨科在过去 4 年多的时间里与她合作，支持她的职业发展。 犹他州的 Mills 博士是她的肌肉骨骼放射科医生导师，并且专注于 F&A 成像领域的 Ledoux 博士。 VA Puget Sound 是一名外部导师，作为 F&A 生物力学领域的领导者提供专家见解。 环境：犹他大学拥有卓越的研究环境，拥有以下领域的领导者： 计算建模和骨科成功地进行了这项多学科研究。 骨科强烈支持候选人，并将提供一切必要的资源 Lenz 博士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.