In Silico Biomarkers of Motor Function to Inform Musculoskeletal Rehabilitation and Orthopedic Treatment.

IF 1.1 4区医学 Q4 ENGINEERING, BIOMEDICAL

Journal of Applied Biomechanics Pub Date : 2023-06-22 Print Date: 2023-10-01 DOI:10.1123/jab.2023-0029

Ilse Jonkers, Erica Beaucage-Gauvreau, Bryce Adrian Killen, Dhruv Gupta, Lennart Scheys, Friedl De Groote

{"title":"In Silico Biomarkers of Motor Function to Inform Musculoskeletal Rehabilitation and Orthopedic Treatment.","authors":"Ilse Jonkers, Erica Beaucage-Gauvreau, Bryce Adrian Killen, Dhruv Gupta, Lennart Scheys, Friedl De Groote","doi":"10.1123/jab.2023-0029","DOIUrl":null,"url":null,"abstract":"<p><p>In this review, we elaborate on how musculoskeletal (MSK) modeling combined with dynamic movement simulation is gradually evolving from a research tool to a promising in silico tool to assist medical doctors and physical therapists in decision making by providing parameters relating to dynamic MSK function and loading. This review primarily focuses on our own and related work to illustrate the framework and the interpretation of MSK model-based parameters in patients with 3 different conditions, that is, degenerative joint disease, cerebral palsy, and adult spinal deformities. By selecting these 3 clinical applications, we also aim to demonstrate the differing levels of clinical readiness of the different simulation frameworks introducing in silico model-based biomarkers of motor function to inform MSK rehabilitation and treatment, with the application for adult spinal deformities being the most recent of the 3. Based on these applications, barriers to clinical integration and positioning of these in silico technologies within standard clinical practice are discussed in the light of specific challenges related to model assumptions, required level of complexity and personalization, and clinical implementation.</p>","PeriodicalId":54883,"journal":{"name":"Journal of Applied Biomechanics","volume":" ","pages":"284-293"},"PeriodicalIF":1.1000,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Biomechanics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1123/jab.2023-0029","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/1 0:00:00","PubModel":"Print","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}

引用次数: 1

Abstract

In this review, we elaborate on how musculoskeletal (MSK) modeling combined with dynamic movement simulation is gradually evolving from a research tool to a promising in silico tool to assist medical doctors and physical therapists in decision making by providing parameters relating to dynamic MSK function and loading. This review primarily focuses on our own and related work to illustrate the framework and the interpretation of MSK model-based parameters in patients with 3 different conditions, that is, degenerative joint disease, cerebral palsy, and adult spinal deformities. By selecting these 3 clinical applications, we also aim to demonstrate the differing levels of clinical readiness of the different simulation frameworks introducing in silico model-based biomarkers of motor function to inform MSK rehabilitation and treatment, with the application for adult spinal deformities being the most recent of the 3. Based on these applications, barriers to clinical integration and positioning of these in silico technologies within standard clinical practice are discussed in the light of specific challenges related to model assumptions, required level of complexity and personalization, and clinical implementation.

查看原文本刊更多论文

Silico运动功能生物标志物为肌肉骨骼康复和骨科治疗提供信息。

在这篇综述中，我们详细阐述了肌肉骨骼（MSK）建模与动态运动模拟相结合是如何从一种研究工具逐渐发展成为一种有前途的计算机工具的，通过提供与动态MSK功能和负荷相关的参数来帮助医生和理疗师进行决策。这篇综述主要集中在我们自己和相关的工作上，以说明MSK模型参数在3种不同疾病患者中的框架和解释，即退行性关节病、脑瘫和成人脊柱畸形。通过选择这3种临床应用，我们还旨在证明不同模拟框架的不同临床准备水平，引入基于计算机模型的运动功能生物标志物，为MSK的康复和治疗提供信息，其中成人脊柱畸形的应用是这3种应用中最新的。基于这些应用，根据与模型假设、所需的复杂性和个性化水平以及临床实施相关的具体挑战，讨论了这些计算机技术在标准临床实践中的临床集成和定位障碍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Applied Biomechanics 医学-工程：生物医学

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The mission of the Journal of Applied Biomechanics (JAB) is to disseminate the highest quality peer-reviewed studies that utilize biomechanical strategies to advance the study of human movement. Areas of interest include clinical biomechanics, gait and posture mechanics, musculoskeletal and neuromuscular biomechanics, sport mechanics, and biomechanical modeling. Studies of sport performance that explicitly generalize to broader activities, contribute substantially to fundamental understanding of human motion, or are in a sport that enjoys wide participation, are welcome. Also within the scope of JAB are studies using biomechanical strategies to investigate the structure, control, function, and state (health and disease) of animals.