{"title":"3-dimensional bone shape and knee osteoarthritis: What have we learned?","authors":"Alan D Brett , Philip G Conaghan","doi":"10.1016/j.ostima.2024.100178","DOIUrl":null,"url":null,"abstract":"<div><p>The concept that multiple joint tissues are involved in the osteoarthritis (OA) disease process is now widely accepted. There have been significant and important insights over the past two decades in the understanding of bone as a tissue undergoing pathological changes in OA. The specific bony changes of osteophyte growth and “bone attrition” associated with OA have been recognized for many years with several semi-quantitative radiographic and magnetic resonance imaging (MRI) grading systems designed to capture the magnitude of these changes. Over the past decade, there has been significant and important progress in the quantitative measurement of these changes. Manual methods for measuring bone area from 3D MR images have been improved with automation which offers both superior precision and a more responsive measurement that has been applied in several DMOAD randomized controlled trials. Measurement of true 3D bone shape, as opposed to simple geometric measures such as curvature and length, depends on automated methods of segmentation. In this field, important developments have taken place in the statistical parameterization of shape and the construction of OA vs non-OA shape metrics. Work has demonstrated that bone shape may provide an indication of OA status, may predict future OA onset, and is associated with clinical markers of OA such as pain, function and total joint replacement (TKR). Thus, bone shape may be a useful imaging biomarker for OA.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 1","pages":"Article 100178"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000060/pdfft?md5=8321294f784b6c0eea50024f228255dd&pid=1-s2.0-S2772654124000060-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Osteoarthritis imaging","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772654124000060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The concept that multiple joint tissues are involved in the osteoarthritis (OA) disease process is now widely accepted. There have been significant and important insights over the past two decades in the understanding of bone as a tissue undergoing pathological changes in OA. The specific bony changes of osteophyte growth and “bone attrition” associated with OA have been recognized for many years with several semi-quantitative radiographic and magnetic resonance imaging (MRI) grading systems designed to capture the magnitude of these changes. Over the past decade, there has been significant and important progress in the quantitative measurement of these changes. Manual methods for measuring bone area from 3D MR images have been improved with automation which offers both superior precision and a more responsive measurement that has been applied in several DMOAD randomized controlled trials. Measurement of true 3D bone shape, as opposed to simple geometric measures such as curvature and length, depends on automated methods of segmentation. In this field, important developments have taken place in the statistical parameterization of shape and the construction of OA vs non-OA shape metrics. Work has demonstrated that bone shape may provide an indication of OA status, may predict future OA onset, and is associated with clinical markers of OA such as pain, function and total joint replacement (TKR). Thus, bone shape may be a useful imaging biomarker for OA.
多种关节组织参与骨关节炎(OA)疾病过程的概念现已被广泛接受。过去二十年来,人们对骨作为一种在 OA 中发生病理变化的组织的认识有了重大而重要的进展。多年来,人们已经认识到与 OA 相关的骨质增生和 "骨质流失 "等特殊骨质变化,并设计了几种半定量放射成像和磁共振成像(MRI)分级系统来捕捉这些变化的程度。在过去十年中,这些变化的定量测量取得了重大进展。从三维核磁共振图像中测量骨面积的手动方法已得到改进,并实现了自动化,从而提供了更高的精确度和更灵敏的测量方法,并已应用于多项 DMOAD 随机对照试验中。与简单的几何测量(如曲率和长度)不同,真正三维骨骼形状的测量取决于自动分割方法。在这一领域,形状统计参数化和构建 OA 与非 OA 形状指标方面取得了重要进展。研究表明,骨骼形状可显示 OA 状态,可预测未来 OA 的发病情况,并与疼痛、功能和全关节置换术(TKR)等 OA 临床指标相关。因此,骨形状可能是治疗 OA 的有用成像生物标志物。