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: 10525301
• 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/10525301
• 关键词: 3-Dimensional; Age; Anatomy; Ankle; Biomechanics; Bone Spur; Bone remodeling; Career Mobility; Classification; Clinical; Cluster Analysis; Complex; Computer Models; Computer software; Data; Databases; Deformity; Degenerative polyarthritis; Diagnosis; Discrimination; Disease; Doctor of Philosophy; Engineering; Ensure; Environment; Evaluation; Experimental Models; Faculty; Funding; Future; Goals; Gold; Grant; Growth; Health; Hip Osteoarthritis; Hip region structure; Image; Imaging Techniques; Individual; Injury; Institutes; Interdisciplinary Study; Joints; K-Series Research Career Programs; 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; base; bone; bone reconstruction; calcaneum; clinically relevant; computer studies; demographics; early-career faculty; foot; human old age (65+); imaging scientist; improved; individual patient; insight; interest; joint destruction; kinematics; 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